ArticleInternational journal of environmental research and public health2017
Spatially Correlated Time Series and Ecological Niche Analysis of Cutaneous Leishmaniasis in Afghanistan.
Article in International journal of environmental research and public health, 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, 34 citations in OpenAlex.
- Environmental and socioeconomic risk factors associated with visceral and cutaneous leishmaniasis: a systematic review.Parasitology research · 2020Pooled it
- Epidemiological study of cutaneous leishmaniasis in Algeria.Open veterinary journal · 2026Article
- Evidence Gaps and Global Patterns in Leishmaniasis Control: A Scoping Review of Clinical, Diagnostic, and Treatment Strategies.Journal of parasitology research · 2026Review
- Predicting the Effect of Temperature Changes onTransboundary and emerging diseases · 2025Article
- Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda.Global epidemiology · 2021Article
- Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy.BMC infectious diseases · 2020Article
- A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India.PLoS neglected tropical diseases · 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
- Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy.Nonlinear dynamics · 2020Article
- Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007-2012.Scientific reports · 2019Article
- Leishmaniasis in Sri Lanka: spatial distribution and seasonal variations from 2009 to 2016.Parasites & vectors · 2018Review
- Spatiotemporal Frameworks for Infectious Disease Diffusion and Epidemiology.International journal of environmental research and public health · 2016Article
- Climate change and cutaneous leishmaniasis in the province of Ghardaïa in Algeria: A model-based approach to predict disease outbreaks.Annals of Saudi medicineArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leishmaniasis is the third most common vector-borne disease and a very important protozoan infection. Cutaneous leishmaniasis is one of the most common types of leishmaniasis infectious diseases with up to 1.2 million occurrences of new cases each year worldwide. A dynamic transmission multivariate time series model was applied to the data to account for overdispersion and evaluate the effects of three environmental layers as well as seasonality in the data. Furthermore, ecological niche modeling was used to study the geographically suitable conditions for cutaneous leishmaniasis using temperature, precipitation and altitude as environmental layers, together with the leishmaniasis presence data. A retrospective analysis of the cutaneous leishmaniasis spatial data in Afghanistan between 2003 and 2009 indicates a steady increase from 2003 to 2007, a small decrease in 2008, and then another increase in 2009. An upward trend and regularly repeating patterns of highs and lows were observed related to the months of the year, which suggests seasonality effect in the data. Two peaks were observed in the disease occurrence-January to March and September to December-which coincide with the cold period. Ecological niche modelling indicates that precipitation has the greatest contribution to the potential distribution of leishmaniasis.
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