ArticleEnvironmental science and pollution research international2017
A time series analysis of environmental and metrological factors impact on cutaneous leishmaniasis incidence in an endemic area of Dehloran, Iran.
Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Leishmaniasis in deployed military populations: A systematic review and meta-analysis.PLoS neglected tropical diseases · 2025Pooled it
- Environmental and socioeconomic risk factors associated with visceral and cutaneous leishmaniasis: a systematic review.Parasitology research · 2020Pooled it
- Article
- Epidemiological study of cutaneous leishmaniasis in Algeria.Open veterinary journal · 2026Article
- Prediction of Trends and Bioclimatic Factors Influencing the Monthly Incidence of Zoonotic Cutaneous Leishmaniasis Using Arima and Sarima Time Series Models in Maraveh Tappeh County, Golestan Province, Iran.Journal of arthropod-borne diseases · 2025Article
- Residential environment, human behavior and socio-economic status in transmission of cutaneous leishmaniasis in central Iran.Scientific reports · 2025Article
- Predicting the Effect of Temperature Changes onTransboundary and emerging diseases · 2025Article
- Impact of PAHs compounds on air quality in Maragheh city: Probabilistic risk assessment and source apportionment.Toxicology reports · 2024Article
- Time series analysis of cutaneous leishmaniasis incidence in Shahroud based on ARIMA model.BMC public health · 2023Article
- Cutaneous leishmaniasis in Iran: A review of epidemiological aspects, with emphasis on molecular findings.Parasite (Paris, France) · 2022Review
- The effect of climate variables on the incidence of cutaneous leishmaniasis in Isfahan, Central Iran.International journal of biometeorology · 2021Article
- Spatiotemporal distribution of cutaneous leishmaniasis in Sri Lanka and future case burden estimates.PLoS neglected tropical diseases · 2021Article
- Study on the relationship between the incidence of influenza and climate indicators and the prediction of influenza incidence.Environmental science and pollution research international · 2021Article
- Typical features of cutaneous leishmaniasis in the Ilam province, Iran.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
- Profile of American tegumentary leishmaniasis in transmission areas in the state of Minas Gerais, Brazil, from 2007 to 2017.BMC infectious diseases · 2020Article
- Assessment of hospitalization and mortality from exposure to PMEnvironmental science and pollution research international · 2017Article
- 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
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to investigate the relationship between the environmental and metrological variables and cutaneous leishmaniasis (CL) transmission and its prediction in a region susceptible to this disease prevalence using a time series model. The accurate locations of 4437 CL diagnosed from 2011 to 2015 were obtained to be used in the time series model. Temperature, number of days with temperature over 30 °C, and number of earthquake were related to CL incidence using the Seasonal Auto-correlated Integrated Moving Average (SARIMA) model according to the Box-Jenkins method. In addition, the relationship between land use and surface soil type in 500- and 1000-m radius around the CL patients were investigated. The SARIMA models showed significant associations between environmental and meteorological variables and CL incidence adjusted for seasonality and auto-correlation. The result indicated that there are need more robust preventive programs in earthquake-prone areas with high temperature and inceptisol soil type than other areas. In addition, the region with these characteristics should be considered as high-risk areas for CL prevalence.
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