ArticleEnvironmental science and pollution research international2021
GIS-based risk mapping of cutaneous leishmaniasis: a survey in an endemic area of Central Iran.
Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 6 citations in OpenAlex.
- Impact of environmental and socioeconomic factors on the prevalence of and DALYs due to cutaneous leishmaniasis globally from 1990 to 2021 based on remote sensing and GIS technologies.Parasites & vectors · 2026Article
- Association between prenatal exposure to residential pyrethroid insecticides and congenital hypothyroidism using propensity score matching.Scientific reports · 2026Article
- Toward Eliminating Leishmaniasis as a Public Health Problem in Yemen: Advocating for a One Health Approach.Research and reports in tropical medicine · 2026Review
- Residential environment, human behavior and socio-economic status in transmission of cutaneous leishmaniasis in central Iran.Scientific reports · 2025Article
- Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases.Science in One Health · 2024Review
- High-risk spatiotemporal patterns of cutaneous leishmaniasis: a nationwide study in Iran from 2011 to 2020.Infectious diseases of poverty · 2023Article
- The effect of geo-climatic determinants on the distribution of cutaneous leishmaniasis in a recently emerging focus in eastern Iran.Parasites & vectors · 2021Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cutaneous leishmaniasis (CL) is a vector-borne infectious disease that is affected by various environmental agents. The main objective of this study was to determine the spatial distribution of CL incidence by using Geographical Information System (GIS). This is a cross-sectional study that was conducted during 5 years from 2014 to 2018 in Isfahan, Iran. We used the required data on each leishmaniasis patient that were recorded from 44 counties of Isfahan in the databases and archive of the Provincial Health Centre. We used GIS for determining the incidence of CL in the high-risk foci. Moran index was used to identify high risk points (clustering in similar values) compared to the values of neighborhood points. Hot spot analysis was conducted by Getis-Ord-Gi. The highest incidence of the disease occurred in the age group of 18-64 years and 61.6% of patients were male. According to seasonal distribution, autumn (58.6%) had the highest frequency. Time trend of incidence showed that it had both decreasing and increasing, and there was a sudden upward trend of disease in 2018 except only two counties. The hot spots were involved the central areas of the Isfahan province slightly toward to the north and southeast of the province. Moran index showed that the differences for all points were not significant (p-value>0.05). Varzaneh (placed in southeast of Isfahan) was the hottest spot and had the worst position for leishmaniasis compared to all years and all cities.
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