1. Impact of weather parameters on the spread of dengue cases in Dhaka
- Author
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Md. Humayun Kabir
- Subjects
dengue ,dhaka ,quasi-poisson generalized linear model ,spearman rank correlation ,weather parameter ,Psychology ,BF1-990 ,Medicine - Abstract
Introduction: Dengue cases have increased extremely in recent years because of globalization, easy movement, population growth and urbanization, and climate change. Presently, dengue causes hundreds of daily dengue incidences and tens of human deaths in Dhaka. In this study, the impacts of weather parameters on the spread of dengue cases have been investigated for the city. Methods: The daily dengue cases and weather parameter values are collected for the city from public repositories. From these daily data, per-week average values were calculated to observe their weekly variations. Six different lagged week data have been generated by combining weekly average dengue cases with cumulative lagged weekly average weather parameters. Spearman rank correlation and quasi-Poisson generalized linear model have been applied in the lagged week data to assess the impacts of weather parameters on dengue cases. Results: A significant positive association for relative humidity and a negative association for wind pressure have been observed with dengue incidence. Also, stronger estimates have been examined for more cumulative lagged week weather parameter values with dengue incidence. July to October might be the sensitive season for dengue in the city for higher values of relative humidity and lower values of wind pressure. Conclusions: Dhaka is one of the most densely populated cities in the world. Also, the dengue incidence in the city has increased remarkably in the last several years. The findings observed in this study might help the city's decision-makers to initiate necessary steps before the dengue outbreak occurs.
- Published
- 2025
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