Application of Environmental Epidemiology in the Investigation of Infectious Disease Outbreaks – A Case Study*



Application of Environmental Epidemiology in the Investigation of Infectious Disease Outbreaks – A Case Study*








1. Background

We must admit that we knew so little about SARS at the time of the epidemic and hence should keep our minds open to all possibilities about the modes of transmission. Epidemiology is about the distribution and determinants of disease frequencies in human populations. Hence, the distribution of the disease should act as the starting point in studying the epidemiology of a disease. The common parameters used to describe the distribution of disease include time, place and person. The authors did not have access to the full set of data of the outbreak in the Amoy Gardens, but managed to obtain information on the location of residence and date of fever onset for the initial 187 cases investigated by the Department of Health.


1.1 Time, place and person distributions

We first described the distribution of cases according to date of symptom onset and location of residence. The time distribution (epidemic curve) of cases in Block E alone indicated a point-source (common source) outbreak. A similar pattern was also observed for all cases in the four blocks (B, C, D, and E) in the Amoy Gardens (Figure 10.1). The epidemic started on March 21, 2003 in Block E, and in the majority of cases among residents in all buildings, the onset of symptoms occurred during three days, March 24 to 26, with the peak (mode) on March 24. The lag time in symptom onset among the cases was simply too short for effective personto-person spread, given the understanding of the incubation period for SARS of 2-10 days. Other modes of transmission have to be examined.






Figure 10.1

The distribution of the cases was not even or random among the housing blocks. Within each block, more cases occurred in certain units (Flats) and floor levels. Block E had the largest number of cases (99/187) and Units 7 and 8 of Block E were more affected (17 and 45 cases respectively (Figure 10.2). Very few cases of SARS were reported in apartments below the 10th Floor. The spatial distribution of SARS cases was not random and could provide information for the generation of hypothesis on the determinants of the disease spread. If the disease were mainly spread through the sewage system, apartments in the lower floors of Block E should receive a higher dose of the virus and there should be more cases in those apartments. If the disease were mainly spread through person-to-person
contacts and the use of shared communal facilities (elevators/staircases), it would be hard to explain why many more cases occurred in certain units (flats) in each block, and residents in Block F (the block closest to Block E) should be more affected instead of those living in Blocks B, C and, D during the outbreak.






Figure 10.2

We were not able to obtain personal data (age, sex, co-morbidity, etc.) of the infected persons to allow us to describe the distribution among persons. The government report mentioned that only 4% of cases had history of contact with known SARS patients and 8% had visited the Mainland between 17 and 23 of March.


1.2 Where should we go from here? Examining possible modes of transmission

Obviously, this was a common or point source outbreak (Figure 1) and the spatial distribution followed a particular pattern (Figure 2). The logical next step would be to examine the known modes of transmission of infectious diseases and see if any of them could explain the spread in this outbreak.

It was unlikely, if not impossible, for the index case to come into contact with hundreds of residents living in several building blocks within a short period of time (about 1-2 days). Hence, person-to-person spreads could at most explain only a very small proportion of the outbreak, but might become more important in the latter phase of the epidemic. It was postulated that the outbreak could have been vector-borne, as the SARS coronavirus was detected in rodent droppings and bodies of cockroaches [3].

Ng put forward the theory that roof rats were both amplifiers and distributors of the SARS-associated coronavirus [4], but this theory was not supported by the epidemiological distribution of cases; the middle-level floors were affected more than the upper floors, and certain units were affected more than others in the same building. Roof rats are by nature territorial, and they therefore could not be responsible for the rapid and efficient spread of the infection from a single building, building E, to other buildings. The main flaw in this hypothesis is that it does not explain the steep decline in the epidemic curve after the peak, because there was no sudden disappearance of roof rats or massive deaths among them. The point-source nature of the outbreak and the spatial distribution of the cases also argued against other vectors being primarily responsible for the transmission.

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Aug 1, 2016 | Posted by in INFECTIOUS DISEASE | Comments Off on Application of Environmental Epidemiology in the Investigation of Infectious Disease Outbreaks – A Case Study*

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