Fig 1.
Flowchart of Methodology.
Fig 2.
The spatial (districtwide) distribution of census population of Bangladesh in 2022.
We have created the map using districts level shape file obtained from the R package named "bangladesh": https://cran.r-project.org/web/packages/bangladesh/index.html.
Fig 3.
The spatial distribution of districtwide dengue cases and dengue incidence rate (DIR) per million in Bangladesh in 2019–2023.
We have created all the maps using districts level shape file obtained from the R package named "bangladesh": https://cran.r-project.org/web/packages/bangladesh/index.html.
Fig 4.
The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2022.
We have created all the maps using districts level shape file obtained from the R package named "bangladesh": https://cran.r-project.org/web/packages/bangladesh/index.html.
Fig 5.
The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2023.
We have created all the maps using districts level shape file obtained from the R package named "bangladesh": https://cran.r-project.org/web/packages/bangladesh/index.html.
Fig 6.
Monthly distribution of dengue cases across Bangladesh in 2022–2023.
Table 1.
Global Spatial Autocorrelation Analysis of dengue log incidence rate (DLIR) with higher order neighbor districts in the study periods.
Fig 7.
The spatial pattern of dengue including hotspot and coldspot in Bangladesh in 2019–2023.
We have created all the maps using districts level shape file obtained from the R package named "bangladesh": https://cran.r-project.org/web/packages/bangladesh/index.html.