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A Forum to discuss Public Health Issues in Pakistan

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    Investigating an Outbreak of Disease

    The Saint
    The Saint
    Admin


    Sagittarius Number of posts : 2444
    Age : 51
    Location : In the Fifth Dimension
    Job : Consultant in Paediatric Emergency Medicine, NHS, Kent, England, UK
    Registration date : 2007-02-22

    Investigating an Outbreak of Disease Empty Investigating an Outbreak of Disease

    Post by The Saint Tue Feb 27, 2007 2:15 pm

    Threat of outbreaks
    Knowledge of medicine and diseases has increased enormously during the last few
    decades. With the advance of knowledge, public health services in many countries can
    implement effective prevention programmes and are able to protect people from many
    unnecessary illnesses and death. However, people around the world still suffer and die
    from various known and unknown outbreaks. Some outbreaks are small and involve
    only a few persons but some affect more than 10 000 individuals (Fig. 1). During 1997,
    most countries had at least one infectious disease outbreak and several had as many
    as eight (WHO 1999). Outbreaks can happen anywhere, from a very remote area where
    no health facility exists to nosocomial outbreaks in a very sophisticated hospital where
    hundreds of health personnel are employed. It is a challenge for the government and
    public health professionals of all countries to detect and control these outbreaks as early
    as possible. Outbreak investigations also provide the opportunity to discover new
    aetiological agents, to understand factors that promote the spread of the diseases, and
    at the same time to identify the weaknesses of existing prevention and health
    programmes. For these reasons, all public health professionals should have the ability
    to conduct and support outbreak investigations.

    What is an outbreak?
    The terms outbreak and epidemic can be used interchangeably. But outbreak is more
    understandable for most people and conveys a greater sense of urgency. Some
    epidemiologists prefer to use the term epidemic only in a situation that covers a very
    wide geographical area and involves large populations. For example, it is possible to
    use the term ‘outbreak of HIV’ to describe a sharply increasing HIV prevalence rate
    among commercial sex workers in a city where the normal rate was low in the previous
    year. But the term ‘HIV epidemic’ can be used when an abnormally high HIV prevalence
    is found among sex workers in many cities of the country.
    In general, the term outbreak is used for a situation when diseases or health events
    occur at a greater frequency than normally expected in a specified period and place
    There is often a misunderstanding that only communicable diseases can cause
    outbreaks. Non-communicable outbreaks such as mass sociogenic illness are
    sometimes reported as acute outbreaks of unexplained illness, especially in school
    settings (CDC 1990, 1996).
    Because the criteria for judging an outbreak can be very subjective, it is useful to define
    the term in a more measurable fashion. The criteria for judging that an outbreak has
    happened can be one of the following.
    1. The occurrence of a greater number of cases or events than normally occur in the
    same place when compared to the same duration in past years. For example, the
    epidemic of Kaposi’s sarcoma, a manifestation of AIDS, was confirmed in New
    York when almost 30 cases were reported in 1981, whereas only two or three
    cases had been reported in previous years (Biggar et al. 1988).
    2. A cluster of cases of the same disease occurs which can be linked to the same
    exposure. The term ‘cluster’ is an aggregation of two or more cases which is not
    necessarily more than expected. For example, three athletes were admitted to
    hospital with an acute febrile illness and all of them had participated in a triathlon
    in Springfield, Illinois (CDC 1998a). After receiving this report, the responsible unit
    started to suspect that an outbreak of febrile illness might be occurring among
    athletes who participated in the triathlon. The investigation revealed that
    Leptospira was the cause of the illness.
    3. A single case of disease that has never occurred before or might have a significant implication for public health policy and practice can be judged an outbreak which deserves to be investigated. The first documented case of avian flu (H5N1) in the Hong Kong Special Administration Region in a 3-year-old boy in May 1997 alerted the local authorities and scientists around the world to start a full-scale investigation (Lee et al. 1999).
    How can an outbreak be detected?
    Public health professionals need to maintain monitoring or surveillance of the disease
    situation in their local area or country, and also at the international level. It is possible to
    identify an outbreak by monitoring many sources of information, which will help to detect the abnormal occurrence of disease. Some useful sources are listed below.
    Health personnel
    Doctors and nurses in a hospital have a good opportunity to observe an abnormal
    increase in the number of patients with a particular disease or syndrome. An outbreak of
    suspected mushroom food poisoning in a northern province of Thailand was reported to
    an epidemiologist during a business telephone conversation with his colleague. The
    epidemiologist started an investigation and identified the first confirmed outbreak of
    Clostridium botulism food poisoning associated with home-canned bamboo shoots in
    the country (CDC 1999a). Without this personal contact, this outbreak would not have
    been investigated. Thus, public health authorities should maintain a cordial relationship
    with doctors and hospital staff both in the governmental and private sectors. Conversely,
    doctors should report all suspected outbreaks to the local public health authorities.
    Laboratory
    Every laboratory or network can serve as an excellent source of outbreak notification.
    The avian flu outbreak in the Hong Kong Special Administrative Region was first
    discovered by the Influenza Surveillance Network, which reported an abnormal
    influenza, type A (H5N1) (Lee et al. 1999). Without the necessary laboratory capacity,
    the avian flu might have been overlooked and not triggered a field investigation. A public
    health professional should communicate regularly with laboratory technicians and vice
    versa. The laboratory scientists can prevent further spread if they report abnormal
    findings to the public health authorities regularly and without delay.
    Official disease notification systems
    Most countries have official systems for notification of cases and deaths from specific
    diseases from hospitals. The system was designed to detect an outbreak by comparing
    cases occurring in the current week or month with the average number of cases in the
    same area during the same period in past years.
    For some diseases, like HIV/AIDS, a sentinel surveillance system was designed to
    monitor and detect abnormal trends in particular sentinel populations and sentinel sites.
    The first HIV sentinel serosurveillance in Thailand, which started in June 1989, detected
    that the HIV prevalence among commercial sex workers in a popular northern tourist
    province was 44 per cent. The finding was very alarming and prompted a field
    investigation to confirm the high prevalence and to look for risk factors of HIV infection
    among sex workers (Siraprapasiri et al. 1991). The investigation confirmed the outbreak
    and revealed the low level of condom use, which led to a recommendation for condom
    promotion in this high-risk population.
    One of the most important functions of epidemiologists and public health professionals
    is to perform regular analyses of reported disease data. Unfortunately, this task has
    been neglected and the usefulness of disease reporting systems has been downgraded
    and often serves only as a vital statistics report. If this neglect of the reporting system
    can be overcome, the public health system will regain this powerful tool to detect and
    control outbreaks.
    Newspapers or media
    In fact, public health professionals learn of outbreaks from the media more often than
    from the official surveillance system. Newspapers receive outbreak news directly from
    their journalists or people in the community and are able to report them immediately.
    The Program for Monitoring Emerging Diseases (ProMED), the prototype for a
    communications system that monitors emerging infectious diseases globally and an
    initiative of the Federation of American Scientists and co-sponsored by the World Health
    Organization (WHO), obtains much of its outbreak news from local or international
    media. While timeliness is the strength of the media, the validity of the information is
    often poor and therefore it requires verification.
    Village health volunteers
    In rural areas where there are no health facilities and communication is limited, village
    leaders or village health volunteers can often help to recognize an abnormal increase in
    the numbers of some clinical diseases such as diarrhoea, dysentery, measles, fever,
    death of unknown aetiology, and so on. For example, the head man in a village of
    Kachin State in the Union of Myanmar informed the health authorities that seven
    villagers had died from febrile illness. This information triggered a field investigation,
    which revealed that malaria was the cause of the outbreak (Dr Myint Win, personal
    communication, 1999).
    Purposes of outbreak investigation
    An outbreak investigation can have many purposes as follows.
    Controlling the current outbreak
    This should be the primary or ultimate goal. If the investigation can start early the
    findings can guide implementation of appropriate control measures to stop further
    spread. The avian flu (H5N1) outbreak investigation found a link between infection and
    illness in chickens and in humans. The same virus was found in both chickens and
    patients. There were a total of 18 cases and six deaths before the Hong Kong Special
    Administrative Region decided to kill all 1.5 million chickens in the islands within 3 days
    to end the outbreak. There have been no cases since (Lee et al. 1999). The key to
    achieving this goal is to eliminate the delay in detecting the outbreak, to start the
    investigation as soon as possible, and to implement the appropriate preventive steps
    indicated by the investigation immediately.
    Prevention of future outbreaks
    Not all investigations start at the beginning or before the peak of the outbreak. The
    findings or lessons learned from the investigation may be too late to help fully control
    the current outbreak but they can still contribute to the prevention of future outbreaks.
    With good investigation, the weaknesses of the prevention programme can be identified.
    If recommendations are taken seriously, the chance of recurrence of the same outbreak
    or other diseases that share common risk factors can be reduced.
    Research to provide knowledge of the disease
    Information about new diseases and their natural history, clinical spectrum, incubation
    period, and so on, can often be best learned during an outbreak investigation. The most
    recent outbreak of encephalitis in Malaysia, which continued until the end of April 1999,
    and resulted in 257 cases and 100 deaths, prompted an international outbreak
    investigation which resulted in the discovery of a new nipah virus (CDC 1999b, c). The
    mode of spread from infected pigs to humans was revealed but there is still much more
    to be learned.
    Evaluation of the effectiveness of prevention programmes
    Investigation of an outbreak of disease, which is the target of a public health
    programme, may reveal weaknesses in that programme. Investigation of an outbreak of
    vaccine-preventable diseases often identifies populations that have not received the
    vaccine. For example, the investigation of a measles outbreak that occurred in 1993 in
    Espindola, a rural community in the Peruvian Andes, revealed that more than a quarter
    of the 553 residents were affected and that more than 3 per cent of those with measles
    had died. One year before the outbreak, a national measles campaign targeting children
    under 15 years of age had been conducted. Although national coverage reported the
    coverage to be 78 per cent, the investigation found that only 4 per cent of the children in
    Espindola had actually been vaccinated (Sniadack et al. 1999).

    Continued......
    The Saint
    The Saint
    Admin


    Sagittarius Number of posts : 2444
    Age : 51
    Location : In the Fifth Dimension
    Job : Consultant in Paediatric Emergency Medicine, NHS, Kent, England, UK
    Registration date : 2007-02-22

    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by The Saint Tue Feb 27, 2007 3:14 pm

    Evaluation of the effectiveness of the existing surveillance system

    Some aspects of the surveillance system can be evaluated during an outbreak, such as the timeliness, validity, sensitivity, appropriateness of case definitions, and utilization of the surveillance information.
    Training health professionals
    The Epidemic Intelligence Service of the United States Centers for Diseases Control and Prevention (CDC) and 20 Field Epidemiology Training Programs around the world use real outbreaks as an opportunity for training as well as to provide service to investigate the causes and determinants of outbreaks.
    Responding to public, political, or legal concern In many situations, the investigation has to be conducted because the media has publicized the complaints of people to politicians, or even rumours. The main objective for this kind of investigation is to verify the outbreak and diagnosis. If it is groundless,
    the investigator can supply the media with new information that can end the rumours. Conversely, if it is a true outbreak then the investigator needs to decide what steps need to be taken.
    In general, for a real outbreak, many objectives can be achieved fully or at least partially. However, the ultimate goal is to control the current outbreak and to prevent future ones. It is unethical for investigators to compromise this ultimate goal with other goals such as training or non-essential research that does not directly contribute to the control activities.

    Components of an investigation team
    The term ‘investigators’ represent the people who are directly involved in planning and conducting the outbreak investigation from start to finish. In principle, local health professionals at the district or provincial level should take the role of investigators and start the work as soon as possible. For complicated or difficult field investigations, investigators from additional disciplines or even international experts can provide assistance. It is best to form an investigator team with a single principal investigator in charge of the operation. A good investigative team should include the following people.

    1. A field epidemiologist who is technically competent to conduct field investigations systematically. The field epidemiologist usually serves as one of the primary investigators and should be involved in all the investigative steps.
    2. Disease control people who are experienced in implementing basic disease control measures such as food and environmental sanitation, vector control, vaccination, and so on. If available, an educator who can provide essential knowledge to villagers in clear terms will also be very useful for disease control
    implementation.
    3. Laboratory technicians who are able to provide basic and advanced laboratory support to the investigative team. Laboratory technicians might not need to travel to the field and collect the specimens by themselves except when a special collection procedure is required.
    4. Specialists in particular areas; for example, a veterinarian would be very helpful for an outbreak investigation of zoonotic diseases. An entomologist is a key member for an outbreak investigation of vector-borne diseases. A social scientist with expertise in qualitative methods will help identify risk behaviours among affected populations and assess the acceptability of the recommended interventions.
    5. Public health administrators, who are good at providing logistic support, mobilizing resources, and providing administrative expertise for the team.
    6. Public relations person. In certain conditions when the outbreak has caused panic or has gained the intense attention of the public, the investigative team should recruit or appoint a person to be in charge of public relations and press releases.
    This person should appropriately reassure and not unduly alarm the public. In practice, all of these team members are not always available at the subdistrict or district level due to limited human resources. Public health professionals and field epidemiologists need to have basic knowledge of all these relevant disciplines and be able to assume tasks if needed.
    Owing to the sudden nature of the field investigation, it is better to establish in advance a list of people who will be on call and ready to join the investigative team once an outbreak has occurred.

    Continued...
    The Saint
    The Saint
    Admin


    Sagittarius Number of posts : 2444
    Age : 51
    Location : In the Fifth Dimension
    Job : Consultant in Paediatric Emergency Medicine, NHS, Kent, England, UK
    Registration date : 2007-02-22

    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by The Saint Tue Feb 27, 2007 3:18 pm

    Prior to the implementation of an investigation

    The principal investigator should consider all of the following issues before initiating a
    field investigation.

    Assessing the existence of the outbreak
    No matter how the outbreak news was obtained, the investigator should confirm the
    validity of the information. The best way is to have direct communication with the

    responsible local health authority or field staff. It is not unusual for the information to be
    groundless. Sometimes the outbreak did happen but the media incorrectly quoted the

    name of the place. The investigator should carefully check with all other possible local
    health authorities in order not to miss the outbreak.

    Gathering the available basic information
    If the local health authority or field staff confirms the existence of the outbreak, the
    investigator should ask for additional information related to the situation and control
    measures being implemented.

    Information related to the disease situation
    1. What are the main symptoms and signs of the patients?
    2. By whom and how was the diagnosis made, for example using only clinical or also
    laboratory evidence?
    3. How many patients were seen and how many have died?
    4. What was the average age of the patients and were there any differences in sex
    distribution?
    5. Where did the patients come from? Are they clustered or scattered?
    6. When was the increased number first observed and what is the trend at the
    moment?

    Information related to control and response activities
    1. What has already been done in terms of the field investigation and implementation
    of control activities?
    2. Are there any serious constraints to compromise the field investigation and in
    implementing control measures?
    3. Who are the key people responsible for the investigation and control activities?
    It is not necessary to gather all of this information before leaving for the field but having
    it will help the investigator to plan an effective investigation.

    Ensuring that clinical specimens and suspected materials were collected
    It is absolutely vital to contact the doctors who saw the cases and made the diagnosis to
    obtain relevant clinical specimens such as serum, blood, and so on, for future laboratory
    tests. The items to which the cases were exposed, such as food and water, should be
    collected immediately before anything is destroyed unintentionally. The investigator
    should contact the local and reference laboratories so that the necessary supplies and
    equipment can be obtained immediately.

    Obtaining permission and adequate support from the local and national
    authorities
    The investigative team should ask the permission of the local health authority, and in
    some situations a national authority. This will create a sense of shared responsibility
    and partnership. Most of the time, local authorities are pleased to receive assistance. In
    a few situations, the local authority might be unhappy having outside people for the field
    investigation because of the sensitive nature of the problem. The investigator needs to
    convince local authorities that a thorough and good investigation will benefit their
    organization more than harm it. The investigator should also request field support from
    the key authorities such as field staff who will facilitate the fieldwork, providing
    transportation, medication, and so on.

    Field operation plan
    The investigator needs to have a short meeting among team members to summarize
    the situation, set up the objectives of the investigation, divide responsibility among team
    members, and check the readiness of laboratory and logistical support.
    It is also important to plan the duration of the field investigation. The investigative team
    should stay in the field until all investigation processes such as data collection, analysis,
    interpretation, and the executive summary have been completed. Leaving the field
    without accomplishing all these objectives will cause delay in the implementation of
    control measures. Most outbreak investigations should plan to obtain preliminary results
    and recommendations within 1 or 2 weeks and no later than a month after the
    investigation begins. This is to make sure that the findings will be in time to assure
    control of the current outbreak. Additional studies and subsequent investigations can be
    done later.
    This initial plan usually needs to be revised once the team arrives in the field. A normal
    practice in the field is that the team members should have a meeting at the end of each
    day to review and plan specific activities for the next day.

    Reviewing current knowledge of the outbreak
    The investigator or one of the team members should be assigned to review current
    knowledge of the outbreak. The Control of communicable diseases manual (Chin 2000)
    is very useful for a quick review of most infectious diseases. Searching the literature
    from the Internet, using as key words the ‘outbreak and name of the disease’, is useful
    to learn about previous studies done in different countries and settings.
    The investigation team should not spend too much time preparing a perfect plan
    because of the urgency of the outbreak, but rather should obtain what is most
    necessary and start the investigation as soon as possible.

    Steps of outbreak investigation
    An outbreak investigation is an observational study in nature because the events have
    already happened. Every outbreak investigation needs to start with a good descriptive
    study followed by analytical studies whenever possible and necessary. Conclusions
    about the causes, mechanisms, and determinants of the outbreak need to be based on
    sound epidemiological, clinical, laboratory, and environmental evidence.
    A descriptive study can help to identify the risk population and risk area so that
    immediate interventions can be directed to the most needy people and area. A good
    descriptive study can also generate hypotheses about how the outbreak has spread and
    what factors contributed to the abnormal occurrence of the disease. In theory,
    hypotheses derived from a descriptive study should be confirmed by further analytical
    study. In reality, this is not always possible because of many constraints.
    It is preferable to translate the methodology for outbreak investigation into steps of
    action. Gregg (1996) has divided the outbreak investigation process into 10 steps. With
    a slight modification, this chapter will also divide the investigation process into 10 steps
    (Box 1). Steps 1 to 4 use descriptive epidemiology to generate basic facts and
    hypotheses, steps 5 to 7 are processes to test hypotheses and make conclusions, and
    steps 8 to 10 emphasize the important of communication of the results and follow-up of
    the recommendations.
    The Saint
    The Saint
    Admin


    Sagittarius Number of posts : 2444
    Age : 51
    Location : In the Fifth Dimension
    Job : Consultant in Paediatric Emergency Medicine, NHS, Kent, England, UK
    Registration date : 2007-02-22

    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by The Saint Tue Feb 27, 2007 3:20 pm

    Ten steps to take in an outbreak investigation

    1. Confirm the existence of the outbreak

    2. Verify the diagnosis and determine the aetiology of the disease

    3. Develop a case definition, start case-finding, and collect information on cases

    4. Describe person, place, and time and generate hypotheses

    5. Test hypotheses using an analytic study

    6. Do necessary environmental or other studies to supplement the epidemiological
    study

    7. Draw conclusions to explain the causes or the determinants of the outbreak
    based on clinical, laboratory, epidemiological, and environmental evidence

    8. Report and recommend appropriate control measures to concerned authorities
    at the local, national, and, if appropriate, international levels

    9. Communicate the findings to educate other public health professionals and the
    general public

    10. Follow-up of the recommendations to assure implementation of control
    measures

    This outline of steps for outbreak investigation does not imply a strict sequence of
    action. In real outbreak investigation, many steps can happen at the same time
    depending on the situation.
    Dr Abdul Aziz Awan
    Dr Abdul Aziz Awan


    Pisces Number of posts : 685
    Age : 56
    Location : WHO Country Office Islamabad
    Job : National Coordinator for Polio Surveillance
    Registration date : 2007-02-23

    Investigating an Outbreak of Disease Empty How to investigate an Outbreak

    Post by Dr Abdul Aziz Awan Tue Mar 17, 2009 11:59 am

    In investigating an outbreak, speed is essential, but getting the right answer is essential, too. To satisfy both requirements, epidemiologists approach investigations systematically, using the following 10 steps:


    1. Prepare for field work
    2. Establish the existence of an outbreak
    3. Verify the diagnosis
    4. Define and identify cases
    5. Describe and orient the data in terms of time, place, and person
    6. Develop hypotheses
    7. Evaluate hypotheses
    8. Refine hypotheses and carry out additional studies
    9. Implement control and prevention measures
    10. Communicate findings

    The steps are presented here in conceptual order. In practice, however, several may be done at the same time, or they may be done in a different order. For example, control measures should be implemented as soon as the source and mode of transmission are known, which may be early or late in any particular outbreak investigation.
    Step 1: Prepare for Field Work

    Before leaving for the field, you should:


    • Research the disease and gather the supplies and equipment you will need
    • Make necessary administrative and personal arrangements for such things as travel, and
    • Consult with all parties to determine your role in the investigation and who your local contacts will be once you arrive on the scene.

      Step 2: Establish the Existence of an Outbreak


      One of your first tasks as a field investigator, or disease detective, is to verify that a suspected outbreak is indeed a real outbreak. Some will turn out to be true outbreaks with a common cause, some will be unrelated cases of the same disease, and others will turn out to be unrelated cases of similar but unrelated diseases. Before you can decide whether an outbreak exists (i.e., whether the observed number of cases exceeds the expected number), you must first determine the expected number of cases for the area in the given time frame.
      How, then, do you determine what is expected? Usually you can compare the current number of cases with the number from the previous few weeks or months, or from a comparable period during the previous few years. The sources of these data vary:


    • For a notifiable disease (one that, by law, must be reported), you can use health department surveillance records.
    • For other diseases and conditions, you can usually find data from local sources such as hospital discharge records, death (mortality) records, and cancer or birth defect registries.
    • If local data are not available, you can make estimates using data from neighboring states or national data, or you might consider conducting a telephone survey of physicians to determine whether they have seen more cases of the disease than usual. You could even conduct a survey of people in the community to establish the background level of disease.

      Even if the current number of reported cases exceeds the expected number, the excess may not necessarily indicate an outbreak. Reporting may rise because of changes in local reporting procedures, changes in the case definition, increased interest because of local or national awareness, or improvements in diagnostic procedures. For example, if a new physician, infection control nurse, or health care facility is reporting cases more consistently than they were reported in the past, the numbers would go up even though there might be no change in the actual occurrence of the disease. Finally, particularly in areas with sudden changes in population size, such as resort areas, college towns, and migrant farming areas, changes in the number of reported cases may simply reflect changes in the size of the population. Whether or not you should investigate an apparent problem further is not strictly tied to your verifying that an epidemic exists (that is, that the observed number is greater than the number expected). As noted earlier, other factors may come into play, including, for example, the severity of the illness, the potential for spread, political considerations, public relations, and the availability of resources.

      Step 3: Verify the Diagnosis


      In addition to verifying the existence of an outbreak early in the investigation, you must also identify as accurately as possible the specific nature of the disease. Your goals in verifying the diagnosis are two-fold. First, you must ensure that the problem has been properly diagnosed—that it really is what it has been reported to be. Second, for outbreaks involving infectious or toxic-chemical agents, you must to be certain that the increase in diagnosed cases is not the result of a mistake in the laboratory. Verifying the diagnosis requires that you review the clinical findings (the symptoms and features of illness) and laboratory results for the people who are affected. If you are at all uncertainty about the laboratory findings (e.g., if they are inconsistent with the clinical findings), you should have a laboratory technician review the techniques being used. If you expect a need for specialized laboratory work (e.g., special culturing or DNA analysis), you should begin obtaining the appropriate specimens, isolates, and other laboratory material from a sufficient number of patients as soon as possible.
      Finally, you should visit several of the people who became ill. If you do not have the clinical background to verify the diagnosis, a doctor or other qualified clinician should do so. Regardless of your background, though, you should see and talk to some of these people to gain a better understanding of the disease and those affected by it. In addition, you may be able to gather critical information by asking such questions as, What were their exposures before becoming ill? What do they think caused their illness? Do they know anyone else with the disease? Do they have anything in common with others who have the disease? Conversations with patients are very helpful in generating hypotheses about the cause, source, and spread of disease.

      Step 4: Define and Identify Cases


      Establish a case definition. Your next task as an investigator is to establish a case definition, or a standard set of criteria for deciding whether, in this investigation, a person should be classified as having the disease or health condition under study. A case definition usually includes four components:


    1. clinical information about the disease,
    2. characteristics about the people who are affected,
    3. information about the location or place, and
    4. a specification of time during which the outbreak occurred.

      You should base the clinical criteria on simple and objective measures. For example, you might require the presence of an elevated level of antibody to the disease agent, the presence of a fever of at least 101"F, three or more loose bowel movements per day, or muscle aching severe enough to limit the patient's activities. Regarding the characteristics of people, you might restrict the definition to those who attended a wedding banquet, or ate at a certain restaurant, or swam in the same lake. By time, the criterion might be onset of illness within the past 2 months; by place, it might be living in a nine-county area or working at a particular plant. Whatever your criteria, you must apply them consistently and without bias to all of the people included in the investigation.
      Ideally, your case definition should be broad enough to include most, if not all, of the actual cases, without capturing what are called "false-positive" cases (when the case definition is met, but the person actually does not have the disease in question). Recognizing the uncertainty of some diagnoses, investigators often classify cases as "confirmed," " probable," or "possible."
      To be classified as confirmed, a case usually must have laboratory verification. A case classified as probable usually has the typical clinical features of the disease without laboratory confirmation. A possible case usually has fewer of the typical clinical features. For example, in an outbreak of bloody diarrhea and severe kidney disease (hemolytic-uremic syndrome) caused by infection with the bacterium E. coli O157:H7, investigators defined cases in the following three classes:


    • Confirmed case:E. coli O157:H7 isolated from a stool culture or development of hemolytic-uremic syndrome in a school-aged child resident of the county and who had gastrointestinal symptoms beginning between Nov. 3 and Nov. 8, 1990;
    • Probable case:Bloody diarrhea (but no culture), with the same person, place, and time restrictions;
    • Possible case:Abdominal cramps and diarrhea (at least three stools in a 24-hour period) in a school-age child resident of the county with onset during the same period (CDC, unpublished data, 1991).

      Early in an investigation, a loose case definition that includes confirmed, probable, and even possible cases is often used to allow investigators to capture as many cases as possible. Later on, when hypotheses have come into sharper focus, the investigator may tighten the case definition by dropping the "possible" category. This strategy is particularly useful when you have to travel to different hospitals, homes, or other places to gather information, because it keeps you from having to go back for additional data. This illustrates an important axiom of field epidemiology: "Get it while you can."
      Identify and count cases
      As noted above, many outbreaks are first recognized and reported by concerned health care providers or citizens. However, the first cases to be recognized usually are only a small proportion of the total number. As a Disease Detective investigating an outbreak, you must therefore "cast the net wide" to determine the true size and geographic extent of the problem.
      When identifying cases, you should use as many sources as you can, and you may need to be creative and aggressive in identifying these sources. Initially, you may want to direct your case finding at health care facilities where the diagnosis is likely to be made; these facilities include physicians' offices, clinics, hospitals, and laboratories. You also may decide to send out a letter describing the situation and asking for reports (passive surveillance); or you may decide to telephone or visit the facilities to collect information (active surveillance). In some outbreaks, public health officials may decide to alert the public directly, usually through the local media. For example, in outbreaks caused by a contaminated food product such as salmonellosis caused by contaminated milk (7) or L-tryptophan-induced EMS (Cool, announcements in the media have alerted the public to avoid the implicated product and to see a physician if they had symptoms of the disease.
      If an outbreak affects a population in a restricted setting, such as a cruise ship, school, or worksite, and if a high proportion of cases are unlikely to be diagnosed (if, for example, many cases are mild or asymptomatic), you may want to conduct a survey of the entire population. In such settings, you could administer a questionnaire to determine the true occurrence of clinical symptoms, or you could collect laboratory specimens to determine the number of asymptomatic cases. Finally, you can ask people who are affected if they know anyone else with the same condition.
    Continue......
    Dr Abdul Aziz Awan
    Dr Abdul Aziz Awan


    Pisces Number of posts : 685
    Age : 56
    Location : WHO Country Office Islamabad
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    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by Dr Abdul Aziz Awan Tue Mar 17, 2009 12:50 pm

    Regardless of the particular disease you are investigating, you should collect the following types of information about every person affected:


    • Identifying information:This may include name,
      address, and telephone number and allows you and other investigators to contact patients for additional questions and to notify them of laboratory results and the outcome of the investigation. Addresses also allow you to map the geographic extent of the problem.

    • Demographic information:This may include age, sex, race, and occupation and provides the details that you need to characterize the population at risk.
    • Clinical information: This information allows you to verify that the case definition has been met. Date of onset allows you to create a graph of the outbreak. Supplementary clinical information may include whether the person was hospitalized or died and will help you describe the spectrum of illness.
    • Risk factor information: Information about risk factors will allow you to tailor your investigation to the specific disease in question. For example, in an investigation of hepatitis A, you would look at exposure to food and water sources.
    Traditionally, we collect the information described above on a standard case report form, questionnaire, or data abstraction form. We then abstract selected critical items in a table called a "line listing." In a line listing, each column represents an important variable, such as name or identification number, age, sex, and case classification, while each row represents a different case, by number. New cases are added to a line listing as they are identified. This simple format allows the investigator to scan key information on every case and update it easily. Even in the era of microcomputers, many epidemiologists still maintain a hand-written line listing of key data items and turn to their computers for more complex manipulations of data. Here is a portion of a line listing that might have been created for an outbreak of hepatitis A-see the image;

    https://i.servimg.com/u/f80/11/10/02/04/az110.jpg

    S*=Sclera;, N=Nausea; V=Vomiting; A=Anorexia; F=Fever; DU=Dark urine; J=Jaundice; HAIgm=Hepatitis AIgM antibody test

    Step 5: Describe and Orient the Data in Terms of Time, Place, and Person

    Once you have collected some data, you can begin to characterize an outbreak by time, place, and person. In fact, you may perform this step several times during the course of an outbreak. Characterizing an outbreak by these variables is called descriptive epidemiology, because you describe what has occurred in the population under study. This step is critical for several reasons. First, by becoming familiar with the data, you can learn what information is reliable and informative (e.g., the same unusual exposure reported by many of the people affected) and what may not be as reliable (e.g., many missing or "don't know" responses to a particular question). Second, you provide a comprehensive description of an outbreak by showing its trend over time, its geographic extent (place), and the populations (people) affected by the disease. This description lets you begin to assess the outbreak in light of what is known about the disease (e.g., the usual source, mode of transmission, risk factors, and populations affected) and to develop causal hypotheses. You can, in turn, test these hypotheses using the techniques of analytic epidemiology described later in Step 7: Evaluate Hypotheses. Note that you should begin descriptive epidemiology early and should update it as you collect additional data. To keep an investigation moving quickly and in the right direction, you must discover both errors and clues in the data as early as possible.
    Characterizing by time
    Traditionally, we show the time course of an epidemic by drawing a graph of the number of cases by their date of onset. This graph, called an epidemic curve, or "epi curve" for short, gives a simple visual display of the outbreak's magnitude and time trend. The following example depicts the first outbreak of Legionnaires’ disease, in Philadelphia, Pennsylvania, in 1976.
    Insert EPI Curve
    An epidemic curve provides a great deal of information. First, you will usually be able to tell where you are in the course of the epidemic, and possibly to project its future course. Second, if you have identified the disease and know its usual incubation period, you may be able to estimate a probable time period of exposure and can then develop a questionnaire focusing on that time period. Finally, you may be able to draw inferences about the epidemic pattern—for example, whether it is an outbreak resulting from a common source exposure, from person-to-person spread, or both. See the pic

    https://i.servimg.com/u/f80/11/10/02/04/az110.jpg

    How to draw an epidemic curve
    To draw an epidemic curve, you first must know the time of onset of illness for each person. For most diseases, date of onset is sufficient; however, for a disease with a very short incubation period, hours of onset may be more suitable. The number of cases is plotted on the y-axis of an epi curve; the unit of time, on the x-axis. We usually base the units of time on the incubation period of the disease (if known) and the length of time over which cases are distributed. As a rule of thumb, select a unit that is one-fourth to one-third as long as the incubation period. Thus, for an outbreak of Clostridium perfringens food poisoning (usual incubation period 10-12 hours), with cases during a period of only a few days, you could use an x-axis unit of 2 or 3 hours. Unfortunately, there will be times when you do not know the specific disease and/or its incubation period. In that circumstance, it is useful to draw several epidemic curves, using different units on the x-axes, to find one that seems to show the data best. Finally, show the pre- and post-epidemic period on your graph to illustrate the activity of the disease during those periods.
    Interpreting an epidemic curve
    The first step in interpreting an epidemic curve is to consider its overall shape, which will be determined by the pattern of the epidemic (e.g., whether it has a common source or person-to-person transmission), the period of time over which susceptible people are exposed, and the minimum, average, and maximum incubation periods for the disease. An epidemic curve with a steep up slope and a gradual down slope, such as the illustration above on the first outbreak of Legionnaires’disease, indicates a single source (or "point source") epidemic in which people are exposed to the same source over a relatively brief period. In fact, any sudden rise in the number of cases suggests sudden exposure to a common source. In a point source epidemic, all the cases occur within one incubation period. If the duration of exposure is prolonged, the epidemic is called a "continuous common source epidemic," and the epidemic curve will have a plateau instead of a peak. Person-to-person spread (a "propagated" epidemic)
    should have a series of progressively taller peaks one incubation period apart. Cases that stand apart (called "outliers") may be just as informative as the overall pattern. An early case may represent a background (unrelated) case, a source of the epidemic, or a person who was exposed earlier than most of the people affected (e.g., the cook who tasted her dish hours before bringing it to the big picnic). Similarly, late cases may be unrelated to the outbreak, may have especially long incubation periods, may indicate exposure later than most of the people affected, or may be secondary cases (that is, the person may have become ill after being exposed to someone who was part of the initial outbreak). All outliers are worth examining carefully because if they are part of the outbreak, their unusual exposures may point directly to the source. For a disease with a human host such as hepatitis A, for instance, one of the early cases may be in a food handler who is the source of the epidemic. In a point-source epidemic of a known disease with a known incubation period, you can use the epidemic curve to identify a likely period of exposure. This is critical to asking the right questions to identify the source of the epidemic.
    Characterizing by place
    Assessment of an outbreak by place provides information on the geographic extent of a problem and may also show clusters or patterns that provide clues to the identity and origins of the problem. A simple and useful technique for looking at geographic patterns is to plot, on a "spot map" of the area, where the affected people live, work, or may have been exposed. A spot map of cases in a community may show clusters or patterns that reflect water supplies, wind currents, or proximity to a restaurant or grocery store. On a spot map of a hospital, nursing home, or other such facility, clustering usually indicates either a focal source or person-to-person spread, while the scattering of cases throughout a facility is more consistent with a common source such as a dining hall. In studying an outbreak of surgical wound infections in a hospital, we might plot cases by operating room, recovery room, and ward room to look for clustering. If the size of the overall population varies between the areas you are comparing, a spot map, because it shows numbers of cases, can be misleading. This is a weakness of spot maps. In such instances, you should show the proportion of people affected in each area (which would also represent the rate of disease or, in the setting of an outbreak, the "attack rate").
    Characterizing by person
    You determine what populations are at risk for the disease by characterizing an outbreak by person. We usually define such populations by personal characteristics (e.g., age, race, sex, or medical status) or by exposures (e.g., occupation, leisure activities, use of medications, tobacco, drugs). These factors are important because they may be related to susceptibility to
    the disease and to opportunities for exposure. Age and sex are usually assessed first, because they are often the characteristics most strongly related to exposure and to the risk of disease.
    Other characteristics will be more specific to the disease under investigation and the setting of the outbreak. For example, if you were investigating an outbreak of hepatitis B, you should consider the usual high-risk exposures for that infection, such as intravenous drug use, sexual contacts, and health care employment.
    Summarizing by time, place, and person
    After characterizing an outbreak by time, place, and person, you need to summarize what you know to see whether your initial hypotheses are on track. You may find that you need to develop new hypotheses to explain the outbreak.
    Step 6: Develop Hypotheses
    In real life, we usually begin to generate hypotheses to explain why and how the outbreak occurred when we first learn about the problem. But at this point in an investigation, after you have interviewed some affected people, spoken with other health officials in the community, and characterized the outbreak by time, place, and person, your hypotheses will be sharpened and more accurately focused. The hypotheses should address the source of the agent, the mode (vehicle or vector) of transmission, and the exposures that caused the disease. Also, the hypotheses should be proposed in a way that can be tested. You can develop hypotheses in a variety of ways. First, consider what you know about the disease itself: What is the agent's usual reservoir? How is it usually transmitted? What vehicles are commonly implicated? What are the known risk factors? In other words, simply by becoming familiar with the disease, you
    can, at the very least, "round up the usual suspects." Another useful way to generate hypotheses is to talk to a few of the people who are ill, as discussed under Step 3: Verifying the Diagnosis. Your conversations about possible exposures should be open-ended and wide-ranging and not confined to the known sources and vehicles. Sometimes investigators meet with a group of the affected people as a way to search for common exposures. Investigators have even found it useful to visit the homes of people who became ill and look through their refrigerators and shelves for clues. Descriptive epidemiology often provides some hypotheses. If the epidemic curve points to a narrow period of exposure, ask what events occurred around that time. If people living in a particular area have the highest attack rates, or if some groups with particular age, sex, or other personal characteristics are at greatest risk, ask why. Such questions about the data should lead to hypotheses that can be tested.

    Dr Abdul Aziz Awan
    Dr Abdul Aziz Awan


    Pisces Number of posts : 685
    Age : 56
    Location : WHO Country Office Islamabad
    Job : National Coordinator for Polio Surveillance
    Registration date : 2007-02-23

    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by Dr Abdul Aziz Awan Tue Mar 17, 2009 1:24 pm

    Step 7: Evaluate Hypotheses
    The next step is to evaluate the credibility of your hypotheses. There are two approaches you can use, depending on the nature of your data: 1) comparison of the hypotheses with the established facts and 2) analytic epidemiology, which allows you to test your hypotheses. You would use the first method when your evidence is so strong that the hypothesis does not need to be tested. A 1991 investigation of an outbreak of vitamin D intoxication in Massachusetts is a good example. All of the people affected drank milk delivered to their homes by a local dairy. Investigators hypothesized that the dairy was the source, and the milk was the vehicle of excess vitamin D. When they visited the dairy, they quickly recognized that far more than the recommended dose of vitamin D was inadvertently being adding to the milk. No further analysis was necessary. The second method, analytic epidemiology, is used when the cause is less clear. With this method, you test your hypotheses by using a comparison group to quantify relationships between various exposures and the disease. There are two types of analytic studies: cohort studies and case-control studies. Cohort studies compare groups of people who have been exposed to suspected risk factors with groups who have not been exposed. Case-control studies compare people with a disease (case-patients) with a group of people without the disease (controls). The nature of the outbreak determines which of these studies you will use.
    Cohort studies A cohort study is the best technique for analyzing an outbreak in a small, well-defined population. For example, you would use a cohort study if an outbreak of gastroenteritis occurred among people who attended a social function, such as a wedding, and a complete list of wedding guests was available. In this situation, you would ask each attendee the same set of questions about potential exposures (e.g., what foods and beverages he or she had consumed at the wedding) and whether he or she had become ill with gastroenteritis. After collecting this information from each guests, you would be able to calculate an attack rate for people who ate a particular item (were exposed) and an attack rate for those who did not eat that item (were not exposed). For the exposed group, the attack rate is found by dividing the number of people who ate the item and became ill by the total number of people who ate that item. For those who were not exposed, the attack rate is found by dividing the number of people who did not eat the item but still became ill by the total number of people who did not eat that item. To identify the source of the outbreak from this information, you would look for an item with:

    • a high attack rate among those exposed and

    • a low attack rate among those not exposed (so the difference or ratio between attack rates for the two exposure groups is high);
      in addition

    • most of the people who became ill should have consumed the item, so that the exposure could explain most, if not all, of the cases.

    Usually, you would also calculate the mathematical association between exposure (consuming the food or beverage item) and illness for each food and beverage. This is called the relative risk and is produced by dividing the attack rate for people who were exposed to the item by the attack rate for those who were not exposed. The table on the next page is based on a famous outbreak of gastroenteritis following a church supper in Oswego, New York, in 1940 and illustrates the use of a cohort study (9). Of the 80 people who attended the supper, 75 were interviewed. Forty-six people met the case definition. Attack rates for those who did and did not eat each of 14 items are presented in the table. Scan the column of attack rates among those who ate the specified items. Which item shows the highest attack rate? Did most of the 46 people who met the case definition eat that food item? Is the attack rate low among people who did not eat that item? You should have identified vanilla ice cream as the implicated vehicle, or source. The relative risk is calculated as 80 / 14, or 5.7. This relative risk indicates that people who ate the vanilla ice cream were 5.7 times more likely to become ill than were those who did not eat the vanilla ice cream. See the Table
    https://i.servimg.com/u/f80/11/10/02/04/az210.jpg
    Case-control studies
    In most outbreaks the population is not well defined, and so cohort studies are not feasible. In these instances, you would use the case-control study design. In a case-control study, you ask both case-patients and controls about their exposures. You then can calculate a simple mathematical measure of association—called an odds ratio—to quantify the relationship between exposure and disease. This method does not prove that a particular exposure caused a disease, but it is very helpful and effective in evaluating possible vehicles of disease. When you design a case-control study, your first, and perhaps most important, decision is who the controls should be. Conceptually, the controls must not have the disease in question, but should be from the same population as the case-patients. In other words, they should be similar to the case-patients except that they do not have the disease. Common control groups consist of neighbors and friends of case-patients and people from the same physician practice or hospital as case-patients. In general, the more case-patients and controls you have, the easier it will be to find an association. Often, however, you are limited because the outbreak is small. For example, in a hospital, 4 or 5 cases may constitute an outbreak. Fortunately, the number of potential controls will usually be more than you need. In an outbreak of 50 or more cases, 1 control per case-patient will usually suffice. In smaller outbreaks, you might use 2, 3, or 4 controls per case-patient. More than 4 controls per case-patient will rarely be worth your effort.In a case-control study, you cannot calculate attack rates because you do not know the total number of people in the community who were and were not exposed to the source of the disease under study. Without attack rates, you cannot calculate relative risk; instead, the measure of association you use in a case study is an odds ratio. When preparing to calculate an odds ratio, it is helpful to look at your data in a 2×2 table. For instance, suppose you were investigating an outbreak of hepatitis A in a small town, and you suspected that the source was a favorite restaurant of the townspeople. After questioning case-patients and controls about whether they had eaten at that restaurant, your data might look like this:







    Case Patients

    Controls

    Total

    Ate at Restaurant A?

    Yes

    a =
    30


    b =
    36


    66

    No

    c
    = 10


    d
    = 70


    80

    Total:



    40

    106

    146

    The odds ratio is calculated as ad/bc. The odds ratio for Restaurant A is thus 30 × 70 / 36 × 10, or 5.8. This means that people who ate at Restaurant A were 5.8 times more likely to develop hepatitis A than were people who did not eat there. Even so, you could not conclude that Restaurant A was the source without comparing its odds ratio with the odds ratios for other possible sources. It could be that the source is elsewhere and that it just so happens that many of the people who were exposed also ate at Restaurant A.
    Dr Abdul Aziz Awan
    Dr Abdul Aziz Awan


    Pisces Number of posts : 685
    Age : 56
    Location : WHO Country Office Islamabad
    Job : National Coordinator for Polio Surveillance
    Registration date : 2007-02-23

    Investigating an Outbreak of Disease Empty Re: Investigating an Outbreak of Disease

    Post by Dr Abdul Aziz Awan Tue Mar 17, 2009 1:29 pm

    Testing statistical significance
    The final step in testing your hypothesis is to determine how likely it is that your study results could have occurred by chance alone. In other words, how likely is it that the exposure your study results point to as the source of the outbreak was not related to the disease after all? A test of statistical significance is used to evaluate this likelihood. Statistical significance is a broad area of study, and we will include only a brief overview here.
    The first step in testing for statistical significance is to assume that the exposure is not related to disease. This assumption is known as the null hypothesis. Next, you compute a measure of association, such as a relative risk or an odds ratio. These measures are then used in calculating a chi-square test (the statistical test most commonly used in studying an outbreak) or other statistical test. Once you have a value for chi-square, you look up its corresponding p-value (or probability value) in a table of chi-squares. In interpreting p-values, you set in advance a cutoff point beyond which you will consider that chance is a factor. A common cutoff point is .05. When a p-value is below the predetermined cutoff point, the finding is considered "statistically significant," and you may reject the null hypothesis in favor of the alternative hypothesis, that is you may conclude that the exposure is associated with disease. The smaller the p-value, the stronger the evidence that your finding is statistically significant.
    Step 8: Refine Hypotheses and Carry Out Additional Studies Additional epidemiological studies
    When analytic epidemiological studies do not confirm your hypotheses, you need to reconsider your hypotheses and look for new vehicles or modes of transmission. This is the time to meet with case-patients to look for common links and to visit their homes to look at the products ontheir shelves. An investigation of an outbreak of Salmonella muenchen in Ohio during 1981 illustrates this point. A case-control study failed to turn up a food source as a common vehicle. Interestingly, people 15 to 35 years of age lived in all of the households with cases, but in only 41% of control households. This difference caused the investigators to consider vehicles of transmission to which young adults might be exposed. By asking about drug use in a second case-control study, the investigators found that illegal use of marijuana was the likely vehicle. Laboratory analysts subsequently isolated the outbreak strain of S.
    muenchen from several samples of marijuana provided by case-patients (10). Even when your analytic study identifies an association between an exposure and a disease, you often will need to refine your hypotheses. Sometimes you will need to obtain more specific exposure histories or a more specific control group. For example, in a large community outbreak of botulism in Illinois, investigators used three sequential case-control studies to identify the vehicle. In the first study, investigators compared exposures of case-patients and controls from the general public and implicated a restaurant. In a second study, they compared the menu items eaten by the case-patients with those eaten by healthy restaurant patrons and identified a specific menu item, a meat and cheese sandwich. In a third study, appeals were broadcast over radio to identify healthy restaurant patrons who had eaten the sandwich. It turned out that controls were less likely than case-patients to have eaten the onions that came with the sandwich. Type A Clostridium botulinum was then identified from a pan of leftover sautéed onions used only to make that particular sandwich (11). When an outbreak occurs, whether it is routine or unusual, you should consider what questions remain unanswered about the disease and what kind of study you might use in the particular setting to answer some of these questions. The circumstances may allow you to learn more about the disease, its modes of transmission, the characteristics of the agent, and host factors.
    Laboratory and environmental studies
    While epidemiology can implicate vehicles and guide appropriate public health action, laboratory evidence can clinch the findings. The laboratory was essential in the outbreak of salmonellosis linked to use of contaminated marijuana. The investigation of the outbreak of Legionnaires' disease in Philadelphia mentioned earlier was not considered complete until the new organism was isolated in the laboratory over 6 months after the outbreak actually had occurred (12). Environmental studies often help explain why an outbreak occurred and may be very important in some settings. For example, in an investigation of an outbreak of shigellosis among swimmers in the Mississippi River, a local sewage plant was identified as the cause of the outbreak (13).
    Step 9: Implementing Control and Prevention Measures
    Even though implementing control and prevention measures is listed as Step 9, in a real investigation you should do this as soon as possible. Control measures, which can be implemented early if you know the source of an outbreak, should be aimed at specific links in the chain of infection, the agent, the source, or the reservoir. For example, an outbreak might be controlled by destroying contaminated foods, sterilizing contaminated water, destroying mosquito breeding sites, or requiring an infectious food handler to stay away from work until he or she is well. In other situations, you might direct control measures at interrupting transmission or exposure. For example, to limit the airborne spread of an infectious agent among residents of a nursing home, you could use the method of "cohorting" by putting infected people together in a separate area to prevent exposure to others. You could instruct people wishing to reduce their risk of acquiring Lyme disease to avoid wooded areas or to wear insect repellent and protective clothing. Finally, in some outbreaks, you would direct control measures at reducing susceptibility. Two such examples are immunization against rubella and malaria chemoprophylaxis (prevention by taking antimalarial medications) for travelers.
    Step 10: Communicate Findings
    Your final task in an investigation is to communicate your findings to others who need to know. This communication usually takes two forms:
    1) an oral briefing for local health authorities and 2) a written report. Your oral briefing should be attended by the local health authorities and people responsible for implementing control and prevention measures. This presentation is an opportunity for you to describe what you did, what you found, and what you think should be done about it. You should present your findings in scientifically objective fashion, and you should be able to defend your conclusions and recommendations. You should also provide a written report that follows the usual scientific format of introduction, background, methods, results, discussion, and recommendations. By formally presenting recommendations, the report provides a blueprint for action. It also serves as a record of performance, a document for potential legal issues, and a reference if the health department encounters a similar situation in the future. Finally, a report that finds its way into the public health literature serves the broader purpose of contributing to the scientific knowledge base of epidemiology and public health.

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