The spatial pattern of dengue including hotspot and coldspot in Bangladesh in 2019–2023.

<p>We have created all the maps using districts level shape file obtained from the R package named "bangladesh": <a href="https://cran.r-project.org/web/packages/bangladesh/index.html" target="_blank">https://cran.r-project.org/web/packages/bangladesh/index....

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Bibliographic Details
Main Author:	Kamal Hossain (331680) (author)
Other Authors:	Sukanta Chowdhury (664111) (author), Ireen Sultana Shanta (17174644) (author), Mohammad Sharif Hossain (7459730) (author), Probir Kumar Ghosh (6947282) (author), Mohammad Shafiul Alam (8551116) (author)
Published:	2024
Subjects:	Biotechnology Cancer Science Policy Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified viral infection transmitted sequential spatial analysis region &# 8217 overall geographical pattern distinct temporal shift study sheds light several districts like incidence district surrounded fold increase compare districts like dinajpur dhaka city decreased complete geographic coverage 344 reported cases dengue coldspots throughout monthly distribution analysis identify temporal trends highest dengue rates observed trends highlight dengue cases throughout identify dengue hotspots years across bangladesh incidence districts temporal patterns stable trends persisting throughout dengue cases study period significant increase highest caseload geographic distribution dhaka exhibiting 64 districts dengue transmission dengue prevalence identify high 354 cases 179 cases xlink "> urban regions tropical regions steadily rise species mosquitoes spatiotemporal dynamics reaching 0 previous years new hotspots initially classified identifying hotspots evolving nature cumulative total control strategies choropleth graphs central regions based prevention bangladesh showed bangladesh exhibited aedes </ adaptable strategies accurately mapping
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The spatial pattern of dengue including hotspot and coldspot in Bangladesh in 2019–2023.

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