https://doi.org/10.4081/gh.2026.1427
Spatio-temporal epidemiology of intestinal infectious diseases in Blantyre District, Malawi
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Published: 15 September 2026
Intestinal infectious diseases remain among the leading causes of death, mainly in sub-Saharan Africa. In Malawi’s commercial hub, Blantyre, the spatiotemporal dynamics of these diseases have not been extensively studied, despite their significant public health burden. We studied high-risk areas and analyze the spatial and temporal patterns of intestinal infectious diseases, including cholera, schistosomiasis, and Other Diarrheal Diseases (ODDs) in Blantyre district from 2018 to 2023. Descriptive statistics were used to evaluate the epidemic characteristics of the intestinal infectious diseases. Spatial autocorrelation with Local Moran’s I was employed to detect spatial clusters, and the Kulldorf retrospective method for space-time analysis. ODDs had the highest incidence rates, ranging from 2714/100,000 to 3631/100,000, while cholera had the lowest, ranging from 0 to 320/100,000. Temporal characteristics showed that ODDs and cholera peaked during the rainy season (October-March), while schistosomiasis occurred from April to June. Spatial clustering of schistosomiasis declined from two High-High (HH) clusters in Blantyre's northern and western parts (2018- 2020) to one (2021-2023). Cholera exhibited High-High (HH) clusters only in the northern part from 2021 to 2023. ODDs expanded from two to three HH clusters extending southward between 2018-2020 and 2021-2023. Space-time analysis identified nine most likely clusters for schistosomiasis and ODDs and two for cholera. Most likely, clusters were in the city, with secondary clusters in the northern and western parts. Given their high incidence, focused public health strategies for schistosomiasis and ODDs should be prioritized in future planning.
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Ethics Approval
CRediT authorship contribution
Richard Lizwe Steven Mvula, conceptualization, methodology investigation, validation, formal analysis, data curation, project administration, writing—original draft preparation; Richard Lizwe Steven Mvula, Lemson Kachedwa software; Wilfred Kadewa and Fasil Ejigu Eregno resources; writing—review and editing, Richard Lizwe Steven Mvula, Emmanuel Chinkaka, Vincent Katonda, Wilson Tchongwe, Lemson Kachedwa, John Njalam’mano, Fasil Ejigu Eregno and Wilfred Kadewa; Richard Lizwe Steven Mvula, and Lemson Kachedwa visualization; supervision, Wilfred Kadewa, and John Njalam’mano; Fasil Ejigu Eregno and Wilfred Kadewa funding acquisition. All authors have read and agreed to the published version of the manuscript.
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Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
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