ArticleEpidemiology and infection2017
Joint spatial time-series epidemiological analysis of malaria and cutaneous leishmaniasis infection.
Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research.International journal of environmental research and public health · 2023Pooled it
- Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.Malaria journal · 2026Article
- Prevalence, clinical features and determinants of cutaneous leishmaniasis in central Ethiopia.BMC infectious diseases · 2026Article
- Community knowledge, attitudes, and practices toward cutaneous leishmaniasis in central Ethiopia.PLoS neglected tropical diseases · 2026Article
- Analysis of the Spread of COVID-19 in the USA with a Spatio-Temporal Multivariate Time Series Model.International journal of environmental research and public health · 2021Article
- Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh.International journal of environmental research and public health · 2020Article
- The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa.Epidemiology and infection · 2020Article
- Effects of Data Aggregation on Time Series Analysis of Seasonal Infections.International journal of environmental research and public health · 2020Article
- Epidemiological analysis of association between lagged meteorological variables and pneumonia in wet-dry tropical North Australia, 2006-2016.Journal of exposure science & environmental epidemiology · 2020Article
- Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007-2012.Scientific reports · 2019Article
- Tegumentary leishmaniasis and coinfections other than HIV.PLoS neglected tropical diseases · 2018Review
- A time series analysis of environmental and metrological factors impact on cutaneous leishmaniasis incidence in an endemic area of Dehloran, Iran.Environmental science and pollution research international · 2017Article
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Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria and leishmaniasis are among the two most important health problems of many developing countries especially in the Middle East and North Africa. It is common for vector-borne infectious diseases to have similar hotspots which may be attributed to the overlapping ecological distribution of the vector. Hotspot analyses were conducted to simultaneously detect the location of local hotspots and test their statistical significance. Spatial scan statistics were used to detect and test hotspots of malaria and cutaneous leishmaniasis (CL) in Afghanistan in 2009. A multivariate negative binomial model was used to simultaneously assess the effects of environmental variables on malaria and CL. In addition to the dependency between malaria and CL disease counts, spatial and temporal information were also incorporated in the model. Results indicated that malaria and CL incidence peaked at the same periods. Two hotspots were detected for malaria and three for CL. The findings in the current study show an association between the incidence of malaria and CL in the studied areas of Afghanistan. The incidence of CL disease in a given month is linked with the incidence of malaria in the previous month. Co-existence of malaria and CL within the same geographical area was supported by this study, highlighting the presence and effects of environmental variables such as temperature and precipitation. People living in areas with malaria are at increased risk for leishmaniasis infection. Local healthcare authorities should consider the co-infection problem by recommending systematic malaria screening for all CL patients.
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