ArticleInfectious diseases of poverty2020
Spatial and spatio-temporal analysis of malaria cases in Zimbabwe.
Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of sample size estimation accuracy on power in malaria cluster randomised trials measuring epidemiological outcomes.BMC medical research methodology · 2024Pooled it
- Genomic epidemiology ofOne health (Amsterdam, Netherlands) · 2026Article
- Mapping malaria hotspots through spatial and spatio-temporal analysis in Sierra Leone, 2021-2024.Public health action · 2026Article
- Mapping mosquito diversity in Kenya correlating species distribution with malaria prevalence across varied climatic parameters.Malaria journal · 2026Article
- Spatiotemporal distribution and clinical manifestations of moyamoya disease in Jiangxi Province, China: a retrospective hospital-based study.BMJ public health · 2026Article
- Spatial distribution and risk assessment of dengue incidence at district level across major climatic zones in India.PloS one · 2026Article
- An assessment of knowledge, practices, and malaria parasitaemia among artisanal gold miners and community members in Mudzi, Zimbabwe.Malaria journal · 2025Article
- Unraveling the spatiotemporal clustering of malaria incidence and modeling a decade of epidemiological data in Jimma Zone, Oromia, Ethiopia.Scientific reports · 2025Article
- Climate change and malaria in Chiredzi District, Zimbabwe: emerging evidence and pathways towards malaria prevention.Malaria journal · 2025Article
- Spatio-temporal dynamics of malaria incidence in children under five years of age and correlation with meteorological variability in the North and Far North regions of Cameroon between 2015-2022.Parasite epidemiology and control · 2025Article
- Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study.Infectious diseases of poverty · 2025Article
- From infectious diseases to chronic diseases: the paradigm shift of spatial epidemiology in disease prevention and control.Frontiers in public health · 2025Review
- Impact of Climate Change on Malaria Transmission and Management in Zimbabwe: A Scoping Review of the Literature.Health services insights · 2025Review
- Spatiotemporal pattern of leprosy in southwest China from 2010 to 2020: an ecological study.BMC public health · 2024Observational
- Spatial, temporal, and spatiotemporal cluster detection of malaria incidence in Southwest Ethiopia.Frontiers in public health · 2024Article
- Spatio-temporal modelling of routine health facility data for malaria risk micro-stratification in mainland Tanzania.Scientific reports · 2023Article
- The spatial signature of Plasmodium vivax and Plasmodium falciparum infections: quantifying the clustering of infections in cross-sectional surveys and cohort studies.Malaria journal · 2023Article
- Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan.Tropical medicine and infectious disease · 2023Article
- Spatial age-period-cohort analysis of hepatitis B risk in Xinjiang from 2006 to 2019.Frontiers in public health · 2023Article
- Variations in the use of malaria preventive measures among pregnant women in Guinea: a secondary analysis of the 2012 and 2018 demographic and health surveys.Malaria journal · 2022Article
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Abstract
backgroundAlthough effective treatment for malaria is now available, approximately half of the global population remain at risk of the disease particularly in developing countries. To design effective malaria control strategies there is need to understand the pattern of malaria heterogeneity in an area. Therefore, the main objective of this study was to explore the spatial and spatio-temporal pattern of malaria cases in Zimbabwe based on malaria data aggregated at district level from 2011 to 2016.
methodsGeographical information system (GIS) and spatial scan statistic were applied on passive malaria data collected from health facilities and aggregated at district level to detect existence of spatial clusters. The global Moran's I test was used to infer the presence of spatial autocorrelation while the purely spatial retrospective analyses were performed to detect the spatial clusters of malaria cases with high rates based on the discrete Poisson model. Furthermore, space-time clusters with high rates were detected through the retrospective space-time analysis based on the discrete Poisson model.
resultsResults showed that there is significant positive spatial autocorrelation in malaria cases in the study area. In addition, malaria exhibits spatial heterogeneity as evidenced by the existence of statistically significant (P < 0.05) spatial and space-time clusters of malaria in specific geographic regions. The detected primary clusters persisted in the eastern region of the study area over the six year study period while the temporal pattern of malaria reflected the seasonality of the disease where clusters were detected within particular months of the year.
conclusionsGeographic regions characterised by clusters of high rates were identified as malaria high risk areas. The results of this study could be useful in prioritizing resource allocation in high-risk areas for malaria control and elimination particularly in resource limited settings such as Zimbabwe. The results of this study are also useful to guide further investigation into the possible determinants of persistence of high clusters of malaria cases in particular geographic regions which is useful in reducing malaria burden in such areas.
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