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Published on: May 30, 2017
Cholera in Bangladesh: climatic components of seasonal variation
Masahiro Hashizume1, Abu S G Faruque, Yukiko Wagatsuma
1Department of International Health, Institute of Tropical Medicine (NEKKEN), The Global Center of Excellence program, Nagasaki University, Nagasaki, Japan. hashizum@nagasaki-u.ac.jp
Insights
Climate factors like temperature and rainfall significantly influence cholera seasonality in Bangladesh. Lower temperatures correlate with reduced incidence early in the year, while rainfall patterns drive spring and monsoon peaks.
Area of Science:
- Epidemiology
- Environmental Health
- Climatology
Background:
- Cholera seasonality in Bangladesh is well-recognized but poorly understood.
- Mechanisms driving bimodal seasonal patterns require further elucidation.
Purpose of the Study:
- To quantify the impact of climatic factors on seasonal cholera incidence.
- To investigate the association between weather variables and cholera cases.
Main Methods:
- Utilized Poisson regression models to analyze weekly cholera patient data in Dhaka (1983-2008).
- Estimated the contribution of temperature, high rainfall, and low rainfall to seasonal variations.
- Calculated fractions of cholera cases attributed to weather factors at minimum risk levels.
Main Results:
- Lower temperatures were associated with decreased cholera incidence in early spring.
- Low rainfall predicted a spring peak, while high rainfall predicted a late monsoon peak.
- Combined weather factors demonstrated a bimodal pattern consistent with observed data; rainfall explained 18-25% of seasonal peaks.
Conclusions:
- Temperature and rainfall play complex roles in cholera seasonality.
- Unmeasured environmental or behavioral factors likely interact with climatic influences.
Background:
The mechanisms underlying the seasonality of cholera are still not fully understood, despite long-standing recognition of clear bimodal seasonality in Bangladesh. We aimed to quantify the contribution of climatic factors to seasonal variations in cholera incidence.
Methods:
We investigated the association of seasonal and weather factors with the weekly number of cholera patients in Dhaka, Bangladesh, using Poisson regression models. The contribution of each weather factor (temperature and high and low rainfall) to seasonal variation was estimated as the mean over the study period (1983-2008) for each week of the year of each weather term. Fractions of the number of cholera patients attributed to each weather factor, assuming all values were constant at their minimum risk levels throughout the year, were estimated for spring and monsoon seasons separately.
Results:
Lower temperature predicted a lower incidence of cholera in the first 15 weeks of the year. Low rainfall predicted a peak in spring, and high rainfall predicted a peak at the end of the monsoon. The risk predicted from all the weather factors combined showed a broadly bi-modal pattern, as observed in the raw data. Low rainfall explained 18% of the spring peak, and high rainfall explained 25% of the peak at the end of the monsoon.
Conclusions:
Seasonal variation in temperature and rainfall contribute to cholera incidence in complex ways, presumably in interaction with unmeasured environmental or behavioral factors.
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