ArticleParasites & vectors2019
Risk factors and predicted distribution of visceral leishmaniasis in the Xinjiang Uygur Autonomous Region, China, 2005-2015.
Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Climate change and its impact on spatial and temporal distribution of visceral leishmaniasis transmission risk in Nepal.BMC infectious diseases · 2025Article
- Environmental change increases the transmission risk of visceral leishmaniasis in central China around the Taihang mountains.Environmental health : a global access science source · 2025Article
- Epidemiological Characteristics and Spatiotemporal Patterns of Visceral Leishmaniasis in Xinjiang, China, during 2004-2021.Tropical medicine and infectious disease · 2024Article
- Article
- Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.PLoS neglected tropical diseases · 2022Article
- Quantifying risk factors and potential geographic extent of African swine fever across the world.PloS one · 2022Article
- Epidemiological features and spatial-temporal distribution of visceral leishmaniasis in mainland China: a population-based surveillance study from 2004 to 2019.Parasites & vectors · 2021Article
- Recurrence and Driving Factors of Visceral Leishmaniasis in Central China.International journal of environmental research and public health · 2021Article
- Spatiotemporal distribution of cutaneous leishmaniasis in Sri Lanka and future case burden estimates.PLoS neglected tropical diseases · 2021Article
- Article
- Visceral leishmaniasis in northwest China from 2004 to 2018: a spatio-temporal analysis.Infectious diseases of poverty · 2020Article
- Housing structure including the surrounding environment as a risk factor for visceral leishmaniasis transmission in Nepal.PLoS neglected tropical diseases · 2020Article
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8 authors.
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Abstract
backgroundVisceral leishmaniasis (VL) is a neglected disease that is spread to humans by the bites of infected female phlebotomine sand flies. Although this vector-borne disease has been eliminated in most parts of China, it still poses a significant public health burden in the Xinjiang Uygur Autonomous Region. Understanding of the spatial epidemiology of the disease remains vague in the local community. In the present study, we investigated the spatiotemporal distribution of VL in the region in order to assess the potential threat of the disease.
methodsBased on comprehensive infection records, the spatiotemporal patterns of new cases of VL in the region between 2005 and 2015 were analysed. By combining maps of environmental and socioeconomic correlates, the boosted regression tree (BRT) model was adopted to identify the environmental niche of VL.
resultsThe fitted BRT models were used to map potential infection risk zones of VL in the Xinjiang Uygur Autonomous Region, revealing that the predicted high infection risk zones were mainly concentrated in central and northern Kashgar Prefecture, south of Atushi City bordering Kashgar Prefecture and regions of the northern Bayingolin Mongol Autonomous Prefecture. The final result revealed that approximately 16.64 million people inhabited the predicted potential infection risk areas in the region.
conclusionsOur results provide a better understanding of the potential endemic foci of VL in the Xinjiang Uygur Autonomous Region with a 1 km spatial resolution, thereby enhancing our capacity to target the potential risk areas, to develop disease control strategies and to allocate medical supplies.
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