Reithinger R, Dujardin JC, Louzir H, Pirmez C, Alexander B, Brooker S. Cutaneous leishmaniasis. Lancet. 2007;7(9):581–96.
Abadias-Granado I, Diago A, Cerro P, Palma-Ruiz A, Gilliberte Y. Cutaneous and mucocutaneous leishmaniasis. Actas Dermosifiliogr. 2021;112(7):601–18.
Shirzadi M, Gouya M. National pointers for cutaneous leishmaniasis surveillance in Iran. Department of Zoonoses Control, Ministry of Health and Medical Education (MOH), Tehran, Iran. 2010:1–78.
Nasiri Z, Kalantari M, Mohammadi J, Daliri S, Mehrabani D, Azizi Ok. Cutaneous leishmaniasis in Iran: an outline of epidemiological features with emphasis on molecular findings. Parasite. 2022;29(47):1–10. https://doi.org/10.1051/parasite/2022047.
Gage KL, Barcott TR, Eisen RJ, Hayes EB. Climate and vector-borne illnesses. Am J Premed. 2008;35(5):436–50.
Chelbi I, Kaabi B, Bejaoui M, Derbali M, Zhioua E. Spatial correlation between Phlebotomus Papatasi Scopoli (Diptera: Psychodiidae) and the incidence of zoonotic cutaneous leishmaniasis in Tunisia. J Med Entomol. 2009;46(2):400–2.
Salehi MA, Bharati M, Dabbar MA, Koshder A, Hosseini SS, Totonchian M, et al. Temporal evolution and mapping of leishmaniasis in IRI army items. Hormuz Cancer Med j. 2014;18(1):91–8.
Google Scholar
Barati H, Lotfi MH, Mozafari G, Dehghan H, Barati M, Tajfirouzeh A. Epidemiological features of cutaneous leishmaniasis in Yazd province from 2004 to 2013. J Commun Health Res. 2016;5(2):131–9.
Google Scholar
Cromley EK. GIS and illness. Anu Pastor Public Health Department. 2003;24(1):7–24.
Kuhn L, Davidson LL, Durkin MS. Using Poisson regression and time collection evaluation to detect adjustments in youngster damage charges over time after a prevention program. J Epidemiol. 1994;140(10):943–55.
Wen L, Xu D, Lin M, Xia J, Zhang Z, Su Y. Prediction of malaria incidence in malaria endemic areas utilizing time collection fashions. J Fourth Military Medical University 2004;25:507–10.
Google Scholar
Silawan T, Singhasivanon P, Kaewkungwal J, Nimmanitya S, Suwonkerd W. Temporal sample and prediction of dengue transmission in northeastern Thailand. J Trop Med in Southeast Asia. 2008;39(1):90.
Google Scholar
Wong JM, Chan AP, Chen YH. Time collection forecasting of Hong Kong’s building labor market: A Box-Jenkins strategy. Constr Manage Econ. 2005;23(9):979–91.
Mumbare SS, Gosavi S, Almale B, Patil A, Dhakane S, Kadu A. Trends in imply surviving kids eventually contraception: a 27-year time collection evaluation utilizing the ARIMA (p, d, q) non-seasonal mannequin. . Indian J Community Medicine. 2014;39(4):223–8.
Ole M, Saenz E, Cabrera R, Sánchez JF, Maxey B, Lucas CM, et al. Cutaneous leishmaniasis amongst Peruvian army personnel conducting coaching actions within the Amazon River Basin, 2010. Am J Trpo Med Hyg. 2015;93(2):340.
Patino LH, Méndez C, Rodríguez O, Romero Y, Velandia D, Alvarado M et al. Spatial distribution, Leishmania species and medical traits of cutaneous leishmaniasis instances within the Colombian army. PLoS Negl Trop D. 2017;11(8):e0005876.
Tabibian E, Shokouh SJH, Dehgolan SR, Moghaddam AD, Tootoonchian M, Noorifard M. Recent epidemiological profile of cutaneous leishmaniasis in Iranian army personnel. J Arch Iranian army medical officer. 2014;2(1):e14473. https://doi.org/10.5812/jamm.14473.
Davoudi S, Karimi Zarchi A, Zafariyan S. Prevalence of frequent pores and skin illnesses and related components in uneducated army facilities. J Military Medicine. 2011;13(1):31–5.
Google Scholar
Sharifi I, Khosravi A, Aflatunian MR, Salarkia E, Bamorobat M, Moghaddam MN, et al. Situation evaluation of cutaneous leishmaniasis within the Islamic Republic of Iran for an eradication plan. Front public well being. 2023;11:1091709.
Holajouie-Naieni Ok, Mostafavi E, Boloorani AD, Mohebali M, Pakzad R. Spatial modeling of cutaneous leishmaniasis in Iran from 1983 to 2013. Acta trop. 2017;166:67–73.
Pakzad R, Dabbagh-Moghaddam A, Mohebali M, Safiri S, Barati M. Spatiotemporal evaluation of cutaneous leishmaniasis utilizing geographic data system amongst Iranian military items and comparability with Iranian common inhabitants from 2005 to 2014. . J Parasit Dis. 2017;41:1114–22.
Mostafavi E, Haghdoost A, Khakifirouz S, Chinikar S. Spatial evaluation of Crimean-Congo hemorrhagic fever in Iran. Am J Trpo Med Hyg. 2013;89(6):1135.
Soleimani M, Bagheri N. Spatial and temporal evaluation of myocardial infarction incidence in Zanjan Province, Iran. BMC Public Health. 2021;21:1–14.
Bagheri N, Wandy Ok, Shelbuin N, Anstey KJ. General apply medical knowledge may help determine dementia hotspots. This is a brand new geospatial evaluation strategy. J Alzheimer’s Disease 2018;61(1):125–34.
Anserine L. Local indicators of spatial affiliation – LISA. Geographic Anal. 1995;27(2):93–115.
Akhtar S, Rozi S. Autoregressive built-in shifting common mannequin for short-term prediction of hepatitis C virus seroprevalence amongst male volunteer blood donors in Karachi, Pakistan. World J Gastroentero. 2009;15(13):1607.
Liu L, Luan R, ying F, Zhu X, Lü Q. Predicting the incidence of hand, foot and mouth illness in Sichuan, China utilizing the ARIMA mannequin. Epidemiod an infection. 2016;144(1):144–51.
WenTong Z. A Course in Statistical Analysis with SPSS. Beijing, China: Hope Electronics. 2002.
Google Scholar
Chatfield C. Time Series Analysis: Theory and Practice. Springer; 2013.
Google Scholar
Bowerman BL, O’Connell RT. Forecasting and time collection: An utilized strategy. (no title); 1993.
Google Scholar
Ayubi E, Bharati M, Moghaddam AD, Hoshder AR. Spatial modeling of cutaneous leishmaniasis in Iranian military items from 2014 to 2017 utilizing hierarchical Bayesian strategies and spatial scan statistics. Epidemiol well being. 2018;40:e2018032. https://doi.org/10.4178/epih.e201832.
Firoulaghi N, Bergquist R, Fatima M, Mohammadi A, Hamer DH, Shirzadi MR, et al. High-risk spatiotemporal patterns of cutaneous leishmaniasis: a nationwide examine performed in Iran from 2011 to 2020. Infect Dis Poverty. 2023;12(1):49.
Molaro A, Alimohammadi A, Shirzadi MR, Malek MR. The spatial and temporal distribution of zoonotic cutaneous leishmaniasis in Golestan Province, northeastern Iran, was analyzed primarily based on geographic data methods. Zoonoses public well being. 2015;62(1):18–28.
jamali H, Bokaie S. Epidemiological features of zoonotic cutaneous leishmaniasis (ZCL) in Iran, the Middle East, and the world: a complete systematic evaluate. medRxiv. 2024:2024.05.06.24306918.
Ghias M, Moradpour S, Karimi S. Comparison of the affect of climatic components on the incidence of cutaneous leishmaniasis in two districts: Gilan-e-Garb and Kermanshah from 2006 to 2016. Spat plan. 2019;9(1):45–60.
Google Scholar
Ramezankhani R, Hosseini A, Sajjadi N, Khoshabi M, Ramezankhani A. Environmental threat components for the incidence of cutaneous leishmaniasis in endemic areas of Iran: a GIS-based strategy. Spat spatiotemporal epidemic. 2017;21:57–66.
Kassiri H, Sharifinia N, Jalilian M, Shemshad Ok. Epidemiological features of cutaneous leishmaniasis in Ilam province, western Iran (2000-2007). Asian Pak J Trop Dis. 2012;2:S382–6.
Attorneys PG, Perkins PV. leishmaniasis and trypanosomiasis. Medical Entomology: A textbook on public well being and veterinary issues brought on by arthropods. Springer; 2000, pp. 231–98.
Google Scholar
Medlock JM, Hansford KM, Van Bortel W, Zeller H, Alten B. Overview of the proof for adjustments within the European distribution of the general public health-important phlebotomine sandfly (Diptera: Stabilidae). J Vector Ecol. 2014;39(1):72–7.
Khanke HR, Azizi M, Asadipour E, Barati M. Climate change and vector-borne illnesses with emphasis on parasitic illnesses: a story evaluate. Health Emerg Disaster Q. 2023;8(4):293–300.
Google Scholar
Azimi F, Shirian S, Jangjoo S, Ai A, Abbasi T. Impact of local weather change on the incidence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran. Geospat Health. 2017;12(1):478.
Shirzadi MR, Javanbakht M, Vatandoost H, Jesri N, Saghafipour A, Fouladi-Fard R, et al. Effects of environmental and climatic components on the spatial distribution of cutaneous leishmaniasis in northeastern Iran: Utilization of distant sensing. J Arthropod origin. 2020;14(1):56.
Google Scholar
Hu RV, Ramdas S, Nieuwkerk P, Reis R, Lai A, Fat RF, de Vries HJ, et al. Intrabody location of New World cutaneous leishmaniasis lesions and influence on high quality of lifetime of Surinamese sufferers. PLoS Negl Trop D. 2020;14(10):e0008759.
Earnest A, Chen MI, Ng D, Sin LY. An autoregressive built-in shifting common (ARIMA) mannequin is used to foretell and monitor the variety of occupied beds throughout the SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research Institute 2005;5:1–8.
Li X, Kang D, Cao J, Wang J. Time collection mannequin in predicting the incidence of hemorrhagic fever with renal syndrome. J Shandong University (Health Sciences) 2008;46(5):547–9.
Google Scholar
Sharafi M, Ghaem H, Tabashibaee HR, Faramarzi H. Using a seasonal ARIMA time collection methodology to foretell the variety of zoonotic cutaneous leishmaniasis instances in southern Fars province, Iran. Asian Pak J Trop Med. 2017;10(1):79–86.
Rahmanian V, Bokaie S, Haghdoost A, Barouni M. Prediction of cutaneous leishmaniasis utilizing SARIMA and Markov switching fashions in Isfahan, Iran: a time collection examine. Asian Pak J Trop Med. 2021;14(2):83–93.
Charrahy Z, Yaghoobi-Ershadi MR, Shirzadi MR, Akhavan AA, Rassi Y, Hosseini SZ et al. Climate change and its influence on Iran’s vulnerability to zoonotic cutaneous leishmaniasis. Transbound emergency dis. 2022;69(3):1506–20.
Ruiz-Postigo JA, Jain S, Mikhailov A, Maia-Elkhoury AN, Valadas S, Warusavithana S, Gasimov E. Global surveillance of leishmaniasis: 2019-2020, baseline for the 2030 roadmap. Weekly epidemiological information. 2021;96(35):401–20.