ArticleTropical medicine and health2017
Exploring spatial and temporal patterns of visceral leishmaniasis in endemic areas of Bangladesh.
Article in Tropical medicine and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Decision-making for indoor residual spraying in the post-elimination phase of visceral leishmaniasis in Nepal.PLoS neglected tropical diseases · 2026Article
- Mapping the last mile: Micro-stratification for sustained visceral leishmaniasis elimination in Bangladesh.PLoS neglected tropical diseases · 2026Article
- Utility of microstratification to identify hotspots for visceral leishmaniasis in Nepal.Scientific reports · 2025Article
- Modelling spatiotemporal patterns of visceral leishmaniasis incidence in two endemic states in India using environment, bioclimatic and demographic data, 2013-2022.PLoS neglected tropical diseases · 2024Article
- Spatial and temporal analysis of hospitalized dengue patients in Bandung: demographics and risk.Tropical medicine and health · 2021Article
- Spatiotemporal distribution of cutaneous leishmaniasis in Sri Lanka and future case burden estimates.PLoS neglected tropical diseases · 2021Article
- Predicted distribution of sand fly (Diptera: Psychodidae) species involved in the transmission of Leishmaniasis in São Paulo state, Brazil, utilizing maximum entropy ecological niche modeling.Pathogens and global health · 2021Article
- The First Lumpy Skin Disease Outbreak in Thailand (2021): Epidemiological Features and Spatio-Temporal Analysis.Frontiers in veterinary science · 2021Article
- A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India.PLoS neglected tropical diseases · 2020Article
- Housing structure including the surrounding environment as a risk factor for visceral leishmaniasis transmission in Nepal.PLoS neglected tropical diseases · 2020Article
- Article
- Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria.Scientific reports · 2019Article
- Exploring Epidemiological Characteristics of Domestic Imported Dengue Fever in Mainland China, 2014-2018.International journal of environmental research and public health · 2019Article
- A One Health perspective to identify environmental factors that affect Rift Valley fever transmission in Gezira state, Central Sudan.Tropical medicine and health · 2019Article
- Analyzing spatial and space-time clustering of facility-based deliveries in Bangladesh.Tropical medicine and health · 2019Article
- Article
- Spatiotemporal characterisation and risk factor analysis of malaria outbreak in Cabo Verde in 2017.Tropical medicine and health · 2019Article
- Visceral leishmaniasis: Spatiotemporal heterogeneity and drivers underlying the hotspots in Muzaffarpur, Bihar, India.PLoS neglected tropical diseases · 2018Article
- Spatial, temporal, and spatiotemporal analysis of under-five diarrhea in Southern Ethiopia.Tropical medicine and health · 2018Article
- Using geospatial techniques to develop an emergency referral transport system for suspected sepsis patients in Bangladesh.PloS one · 2018Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundVisceral leishmaniasis is a considerable public health burden on the Indian subcontinent. The disease is highly endemic in the north-central part of Bangladesh, affecting the poorest and most marginalized communities. Despite the fact that visceral leishmaniasis (VL) results in mortality, severe morbidity, and socioeconomic stress in the region, the spatiotemporal dynamics of the disease have largely remained unexplored, especially in Bangladesh.
methodsMonthly VL cases between 2010 and 2014, obtained from subdistrict hospitals, were studied in this work. Both global and local spatial autocorrelation techniques were used to identify spatial heterogeneity of the disease. In addition, a spatial scan test was used to identify statistically significant space-time clusters in endemic locations of Bangladesh.
resultsGlobal and local spatial autocorrelation indicated that the distribution of VL was spatially autocorrelated, exhibiting both contiguous and relocation-type of diffusion; however, the former was the main type of VL spread in the study area. The spatial scan test revealed that the disease had ten times higher incidence rate within the clusters than in non-cluster zones. Both tests identified clusters in the same geographic areas, despite the differences in their algorithm and cluster detection approach.
conclusionThe cluster maps, generated in this work, can be used by public health officials to prioritize areas for intervention. Additionally, initiatives to control VL can be handled more efficiently when areas of high risk of the disease are known. Because global environmental change is expected to shift the current distribution of vectors to new locations, the results of this work can help to identify potentially exposed populations so that adaptation strategies can be formulated.
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