Masahiro Hashizume

Cholera in Bangladesh: climatic components of seasonal variation

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. We investigated the association of seasonal and weather factors with the weekly number of cholera patients in Dhaka, Bangladesh,.. Read More


The effect of temperature on mortality in rural Bangladesh—a population-based time-series study

Studies in urban cities have consistently shown evidence of increased mortality in association with hot and cold weather. However, few studies have examined temperature-mortality relationship in the rural areas of developing countries. In this study we therefore aimed to characterize the daily temperature-mortality relationships in rural Bangladesh. A generalized linear Poisson regression model was used.. Read More

The Indian Ocean dipole and cholera incidence in Bangladesh: a time-series analysis

It has been reported that the El Niño-Southern Oscillation (ENSO) influences the interannual variation of endemic cholera in Bangladesh. There is increased interest in the influence of the Indian Ocean dipole (IOD), a climate mode of coupled ocean-atmosphere variability, on regional ocean climate in the Bay of Bengal and on Indian monsoon rainfall. We explored.. Read More

environ health persp
water and health

Factors determining vulnerability to diarrhea during and after severe floods in Bangladesh

This paper identifies groups vulnerable to the effect of flooding on hospital visits due to diarrhoea during and after a flood event in 1998 in Dhaka, Bangladesh. The number of observed cases of cholera and non-cholera diarrhoea per week was compared to expected normal numbers during the flood and post-flood periods, obtained as the season-specific.. Read More

Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study

While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh. We examined time-series of the number of hospital admissions of dengue.. Read More

bmc pub health
Int J Epidemiol

Association between climate variability and hospital visits for non-cholera diarrhoea in Bangladesh: effects and vulnerable groups

BACKGROUND: We estimated the effects of rainfall and temperature on the number of non-cholera diarrhoea cases and identified population factors potentially affecting vulnerability to the effect of the climate factors in Dhaka, Bangladesh. METHODS: Weekly rainfall, temperature and number of hospital visits for non-cholera diarrhoea were analysed by time-series regression. A Poisson regression model was.. Read More

Rotavirus infections and climate variability in Dhaka, Bangladesh: a time-series analysis

Attempts to explain the clear seasonality of rotavirus infections have been made by relating disease incidence to climate factors; however, few studies have disentangled the effects of weather from other factors that might cause seasonality. We investigated the relationships between hospital visits for rotavirus diarrhoea and temperature, humidity and river level, in Dhaka, Bangladesh, using.. Read More

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