Key result
Rainfall rates >31 mm/h were associated with a >50% probability of detecting cases of enterovirus infection due to groundwater contamination.
Why the study?
Does rainfall rate associate with the occurrence of enterovirus infection related to contaminated drinking water?
Observational
No
Does rainfall rate associate with the occurrence of enterovirus infection related to contaminated drinking water?
Heavy rainfall can flush enterovirus into unconfined aquifers, leading to contaminated drinking water and subsequent epidemics.
Heavy rainfall may signal enterovirus risk from groundwater; this observational association leaves open the need for prospective confirmation.
AIMS: To determine the association between rainfall rate and occurrence of enterovirus infection related to contamination of drinking water. METHODS AND RESULTS: One fatality case and three cases of severe illness were observed during the enterovirus epidemic in a village in southern Taiwan from 16 September to 3 October 1998. Groundwater samples were collected from the public well in the village after heavy rainfall to test for enterovirus using the reverse transcription-polymerase chain reaction (RT-PCR) assay. The RT-PCR assay detected the enterovirus in the groundwater sample collected on 26 September 1998. The logistic regression model also revealed a statistically significant association between the rainfall rate and the observation of cases of enterovirus infection. CONCLUSIONS: According to the fitted logistic regression model, the probability of detecting cases of enterovirus infection was greater than 50% at rainfall rates >31 mm h(-1). The higher the rainfall rate, the higher the probability of enterovirus epidemic. SIGNIFICANCE AND IMPACT OF THE STUDY: Contamination of drinking water by the enterovirus may lead to epidemics that cause deaths and severe illness, and such contamination may be caused by heavy rainfall. The major finding in this study is that the enterovirus could be flushed to groundwater in an unconfined aquifer after a heavy rainfall. This work allows for a warning level so that an action can be taken to minimize future outbreaks and so protect public health.
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Jean et al. (2006) conducted an observational in Enterovirus infection. Rainfall rate was evaluated on Probability of detecting cases of enterovirus infection. Rainfall rates >31 mm/h were associated with a >50% probability of detecting cases of enterovirus infection due to groundwater contamination.
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