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The effect of geo-climatic determinants on the distribution of cutaneous leishmaniasis in a recently emerging focus in eastern Iran

Parasites & Vectors volume 14, Article number: 538 (2021) Cite this article

Abstract

Background

Cutaneous leishmaniasis (CL) has been reported in recent years in South Khorasan Province, a desert region of eastern Iran, where the main species is Leishmania tropica. Little is known of the influence of geography and climate on its distribution, and so this study was conducted to determine geo-climatic factors by using geographic information system.

Methods

The home addresses of patients with CL patients who were diagnosed and notified from 2009 to 2017 were retrieved from the provincial health center and registered on the village/town/city point layer. The effects of mean annual rainfall (MAR) and mean annual humidity (MAH), mean annual temperature (MAT), maximum annual temperature (MaxMAT), minimum annual temperature (MinMAT), mean annual number of high-velocity wind days (MAWD), mean annual frosty days (MAFD) and snowy days (MASD), elevation, soil type and land cover on CL distribution were examined. The geographical analysis was done using ArcMap software, and univariate and multivariate binary logistic regression were applied to determine the factors associated with CL.

Results

A total of 332 CL patients were identified: 197 (59.3%) male and 135 (40.7%) female. Their mean age was 29.3 ± 2.1 years, with age ranging from 10 months to 98 years. CL patients came from a total of 86 villages/towns/cities. By multivariate analysis, the independent factors associated with increased CL were urban setting (OR = 52.102), agricultural land cover (OR = 3.048), and MAWD (OR = 1.004). Elevation was a protective factor only in the univariate analysis (OR = 0.999). Soil type, MAH, MAT, MinMAT, MaxMAT, and MAFD did not influence CL distribution in eastern Iran.

Conclusions

The major risk zones for CL in eastern Iran were urban and agricultural areas with a higher number of windy days at lower altitudes. Control strategies to reduce human vector contact should be focused in these settings.

Graphical abstract

Background

Leishmaniasis is a disease complex caused by various species of Leishmania, a parasite that is transmitted by sand flies. Clinically, leishmaniasis may manifest across a spectrum of symptoms, from self-limiting cutaneous disease (CL) to fatal visceral (VL) forms [1]. Individuals in more than 100 countries and territories are at risk of leishmaniasis, and about 1.5 million new patients are reported annually [2]. CL is the most prevalent form, and the majority of CL cases, accounting for 84% of the global burden, occur in the Middle East (Afghanistan, Iran, Iraq, Syria, Pakistan, and Yemen), North Africa (Tunisia and Algeria), and South America (Brazil, Peru, and Colombia). Leishmania tropica and L. major are the main etiological species of Old World CL, but L. aethiopica, L. infantum, and L. donovani have also been isolated from CL lesions in some countries [3]. Leishmania major has a wide geographical distribution from Central Asia to the Middle East, the Mediterranean Basin, and parts of West Africa, whilst L. tropica is found mostly in the Middle East and the Eastern Mediterranean, with foci in Africa and some regions of southern and central Asia [1].

The epidemiology of leishmaniasis depends on interactions between the parasite, vector, host, and the environment [4]. In Iran, CL is caused by L. major and L. tropica, with an estimated annual incidence of 20,000 cases [5]. Leishmania major causes zoonotic CL (ZCL), which is transmitted mostly by Phlebotomus papatasi sand flies to humans from desert rodents of the Gerbillidae family, including Rhombomys opimus, Tatera indica, Meriones libycus, M. persicus, M. hurrianae, and Nesokia indica in Iran [6]. Leishmania tropica, the main etiological species of anthroponotic CL, is transmitted between humans by Ph. sergenti, but it has also been isolated rarely from dogs in Iran [7]. Although L. major and L. tropica overlap in most endemic foci of Iran, L. major is dominant in the southwestern, western, central, and northeastern regions, whilst most cases of L. tropica have been reported from large cities and some small towns and villages in the southeast (Kerman Province) and east (South Khorasan Province), as well as in certain large cities in the southwest (Shiraz), northeast (Mashhad), and central regions (Tehran) [3, 8].

Geospatial information systems (GIS) and remote sensing (RS) are useful tools for mapping and modeling of diseases and determining key geo-climatic factors and man-made environmental changes [9]. In recent years, GIS research has established a close link between increasing CL distribution and climatic and environmental factors in southwestern [10], northern [11], and central [12] Iran. South Khorasan Province is an emerging focus of CL in eastern Iran, where, in common with the bordering western areas of Afghanistan, it is caused mainly by L. tropica [13]. Most of the province is desert, and to date, no GIS study has examined climatic and environmental factors associated with CL burden. We, therefore, conducted such a study and report the findings herein.

Methods

Study area

South Khorasan in eastern Iran is the third largest province of Iran and comprises 11 counties, with a surface area of 151,913 km2. It lies between 57.43–61.04 E longitude and 34.04–30.15 N latitude in eastern Iran. It has a predominantly desert climate with a range of annual precipitation from 86 to 186 mm and a wide temperature range from −13.5 to 46.8 °C [14]. The main agricultural products of South Khorasan include wheat (Triticum), followed by barley (Hordeum vulgare) and sugar beet (Beta vulgaris). Saffron (Crocus sativus), barberries (Berberis vulgaris), wild olive (Elaeagnus angustifolia), and jujube (Ziziphus jujube) are also produced. There are more than 5000 residential properties in the province, and the capital city is Birjand. CL has been emerging in recent decades, and L. tropica is the predominant species [13].

Patient data

CL is a notifiable disease in Iran. Reports are submitted by the public and private sectors as clinically suspected or confirmed cases depending on the diagnostic facilities available (e.g. Giemsa/Leishman-stained skin scraping and polymerase chain reaction [PCR]). Reports are sent to health centers located in different parts of the province and then collected at the provincial health center. We obtained demographic data and the home addresses of all properly recorded cases reported between 2009 and 2017 in South Khorasan Province.

Geospatial data

Patient addresses were mapped on a point shapefile of villages, towns, and cities of South Khorasan Province. Meteorological data including temperature, humidity, evaporation, the number of days with high-velocity wind, frosty days, and snowy days from 10 synoptic stations (Birjand, Ghaen, Tabas, Ferdos, Nehbandan, Sarayan, Haji Abad, Boshrouyeh, Khour, and Sarbisheh) were retrieved from the South Khorasan Provincial Weather Bureau. Rainfall data were obtained from all 38 rainfall stations from across the province. The mean annual temperature (MAT), mean maximum annual temperature (MaxMAT), mean minimum annual temperature (MinMAT), mean annual rainfall (MAR), mean annual humidity (MAH), mean annual high-velocity wind days (MAWD), mean annual frosty days (MAFD), and mean annual snowy days (MASD) were calculated for the study period.

The precision of different interpolation methods was checked for generating the meteorological raster layers. The MAR and MAWD were generated by kriging and tension-based spline interpolation, respectively. The remaining meteorological layers were developed using the inverse distance weighted (IDW) interpolation method, and a grid with resolution of 1 × 1 km was used for the interpolations. The raster layer of the digital elevation model (DEM) and the vector layer of land cover, including surface cover features, were obtained from the Department of Agricultural Affairs (https://kj-agrijahad.ir).

Geo-climatic analysis

Villages/towns/cities of South Khorasan Province as the basic point layer were extracted with the raster layers of MAT, MinMAT, MaxMAT, MAR, MAH, MASD, MAFD, MAWD, and DEM. The geometric intersection of the layer developed from the extraction of the abovementioned layers with the land cover polygonal vector file was computed by the identity tool to generate the final layer in which each point showed properties of all the overlapped features from the raster and vector layers. The attribute of this layer was converted to an Excel format (Microsoft 2013) for statistical analysis. All geo-climatic analyses were accomplished using ArcGIS version 10.5 (http://www.esri.com/arcgis).

Statistical analysis

Statistical analysis was based on the presence or absence of CL patients in each village/town/city point. The effects of the climatic and environmental factors on CL distribution in the study areas were assessed by univariate and multivariate logistic regression models, using SPSS version 21 software.

Results

A total of the 332 CL patients were identified; 59.3% (n = 197) were male and 40.7% (n = 135) female. Their mean age was 29.3% ± 2.1 years, with age ranging from 10 months to 98 years. CL patients came from a total of 86 villages/towns/cities. Although the highest number of CL patients was reported from Birjand (n = 94), the highest incidence (N/1000) was reported in Masoudi village (71.42), followed by Mohammadabad (52.63), Zardgah (51.94), Sourg (30.92), Golnam-olia (17.54), Esfak (17.24), and Karijgan (16.94). The lowest incidence rates were reported from Nehbandan city and Tabas-Mesina village (0.21).

Univariate analysis

Climatic factors

This analysis showed that MAWD was a factor (OR = 1.004, P = 0.043, 95% CI 1–1.008), increasing the probability of CL by 0.4%/day, whilst MAFD, MASD, MAT, MinMAT, MaxMAT, and MAR were not significant factors (Table 1). There was a decreasing trend for MAH (OR = 0.939, P = 0.072, 95% CI 0.877–1.006) (Fig. 1).

Table 1 Univariate analysis of the effect of climatic factors on CL in South Khorasan Province
Full size table
Fig. 1
figure 1

The climatic interpolated raster maps: mean annual humidity (a), mean annual rainfall (b), mean annual high-velocity wind days (c), mean annual minimum temperature (d), mean maximum annual temperature (e), mean annual temperature (f), mean annual frosty days (g), and mean annual snowy days (h). The number of days with high wind velocity showed a weak effect on CL occurrence whilst other climatic factors had no effect on CL in South Khorasan Province

Full size image

Environmental factors

Urban setting and agricultural land cover were significant explanatory variables, increasing the odds of CL 49- and 2.8-fold, respectively (Table 2). Rangeland, rock, and bare land were not significant. No soil types, including aridisols, salt flats, rocky land, rock outcrops/entisols, playa, and dune land, were associated with CL occurrence. Elevation significantly reduced CL by 1% for each meter increase in altitude (Fig. 2).

Table 2 Univariate analysis of the effects of environmental factors on CL in South Khorasan Province
Full size table
Fig. 2
figure 2

Maps of the environmental factors: digital elevation model (a), land cover (b), and soil types (c). Urban and agricultural land cover showed direct positive effects whilst elevation had a negative effect on CL occurrence. Soil type was not associated with CL in South Khorasan Province

Full size image

Multivariate analysis

To reveal the concomitant effects, multivariate binary logistic regression was applied to analyze the factors shown to be significantly associated with CL occurrence by univariate analysis. By multivariate analysis, the associated factors were urban setting (OR = 52.102, P < 0.001, 95% CI 20.765–130.727), agricultural land cover (OR = 3.048, P = 0.005, 95% CI 1.411–6.585), and MAWD (OR = 1.004, P = 0.041, 95% CI 1–1.009); elevation lost its significance (Table 3).

Table 3 Multivariate analysis of geo-climatic factors associated with CL in South Khorasan Province
Full size table

Discussion

We have shown that in South Khorasan, a mostly dry province, urban land cover was associated with the highest odds of acquiring CL, followed by agricultural land and MAWD. Elevation was a factor but only in the univariate analysis. There was no association with temperature, rainfall, frost, snow, soil type, most land features, or humidity.

Urban areas (large residential regions including cities, towns, and large villages) are determined primarily by remote sensing data. Urban settings are well known to be associated with CL and VL in Iran and have been identified as the most important factor affecting the distribution of CL in western [15] and southwestern [10] Iran. A GIS-based study of VL caused by L. infantum in Iran [10] also reported a significant effect of living in an urban area [16]. A systematic review in 2020 concluded that although during the first half of the twentieth century, living in areas away from population centers or in proximity to forests were important risk factors for leishmaniasis, over time, urban and peri-urban dwellers were at the greatest risk of leishmaniasis. Vector adaptation to urban areas and the expansion of these areas to surrounding vegetation, and proximity to agricultural areas as natural breeding grounds for vectors and probable reservoirs, especially in developing countries, increase the chances of acquiring leishmaniasis [17]. In addition, buildings and construction sites in villages, towns, and cities offer breeding sites for urban-adapted sand flies, and increased vector populations increase the probability of CL transmission. Another important aspect of CL transmission is human population density, which is higher in urban areas, and this favors the transmission of anthroponotic CL caused by L. tropica [18]. Moreover, population migration from remote rural areas to urban suburbs for work and residence increases the probability of CL [19].

Agricultural land cover was another key determinant of CL distribution, and this is probably related to human activity within these areas. Although South Khorasan has a desert climate, there is much agricultural activity and market gardening. Orchards have been established for thousands of years around limited water sources, but prolonged drought in recent decades has concentrated activity in fewer areas that are close to population centers [20]. The causative agent of CL in South Khorasan has been identified as L. tropica in over 95% of cases [13], and this supports the notion that increased human activity has resulted in increased CL.

Other studies have reported findings similar to ours. Urban and dry farm settings have also been identified as factors for CL transmission in southwestern Iran [10]. An outbreak of CL and VL in Spain was associated with the construction of a park in a suburb of Madrid [21], whilst in Pakistan, CL was active in the lowlands of Chitral district, where urbanization and deforestation were prominent [22]. Green urban areas were also associated with the spread of VL in Greece [23]. In a systematic review, city expansion that encroached on the “green belt,” resulting in pockets of “green” within semi-urban areas, was identified as an important hazard for increasing CL spread. Close proximity of vegetation and urban setting were determining factors for the spread of CL in 63% of the studies in this systematic review [17].

We found that an increased number of windy days was associated with increased CL in eastern Iran. Almost all studies in this field have focused more on wind velocity than the number of days with high-velocity wind. However, Galgamuwa et al. [24] also showed a direct effect of wind speed on leishmaniasis in Sri Lanka, consistent with two studies from central [25] and southern [26] Iran, with Ramezankhani et al. [25] demonstrating that a wind speed of 12–16 m/s increased the spread of CL. By contrast, wind was not a risk factor for CL [27] and VL [28] in southwestern and northwestern Iran, respectively. South Khorasan contains the central and southern Iranian Kavirs (huge deserts) that are characterized by high-velocity desert winds. Wind affects sand flies and CL in several ways: sand flies may be unable to maintain their bite on human/animal skin, they may be blown to more distant areas to establish new breeding foci, and they may seek shelter in homes or animal barns, thereby increasing vector human/animal contact [29]. More research is needed to confirm these hypotheses and inform control programs.

Elevation was inversely associated with CL in this region, where the mean elevation in village/cities with reports of CL was 1399 ± 409 m, and points with no reports showed a mean altitude of 1502 m (not shown in results).

Hanafi-Bojd et al. [30] reported the presence of Ph. sergenti and Ph. papatasi, the vectors of L. tropica and L. major, at ~ 1235 m and just under 1000 m, respectively, in different regions of Iran. Leishmania tropica is dominant in eastern Iran, where the elevation favors Ph. sergenti. Similar findings have been reported from other studies in Iran [10], Afghanistan [31], Brazil [32], and Spain [33], although one study from northeastern Iran did not find an association between elevation and CL risk [34]. It seems that one reason for this relationship is that cities/towns/villages are located at lower altitudes, especially in mountainous regions [10]. Furthermore, in dry desert conditions, as found in eastern Iran, the location of human settlements is determined by the limited availability of water resources, which mostly consist of underground water such as wells and qanats in the lowlands.

We did not find an independent association with rainfall but there was a trend for humidity. Variable results have been found for the effect of rainfall on leishmaniasis globally and in Iran. Rainfall was positively associated with VL in northeastern [35] and southwestern [16] Iran but negatively associated with VL in northwestern [28] and central [36] Iran and with CL in southwestern [10] and western [15] Iran. However, this was not recognized as an associated factor in a study in southern Iran [26]. Shirzadi et al. [37] investigated the impact of climatic factors on CL in a large area of northeastern/eastern Iran including North Khorasan, Razavi Khorasan (northeast), and South Khorasan (east). In this region, rainfall decreases from the mountainous regions in North Khorasan to the deserts of South Khorasan, with CL rates ~ 4.5 times as high in the northeast as in the east [37]. This lack of rainfall dependence is probably due to the reliance on underground water to support life in this arid region, where sand flies likely exist on the limited humidity provided by water pulled from underground sources. Similarly, in a semi-arid region in southern Iran, rainfall was not shown as a factor associated with CL spread [26].

Conclusions

We have shown that urban setting, agricultural land cover, and the number of days with high-velocity wind were the most important determinants of the distribution of CL in the desert regions of South Khorasan in eastern Iran. Close human vector contact is promoted by a higher population density in urban areas and farming in agricultural land. Wind may spread the vectors and also allows them to concentrate and seek shelter in buildings to establish new niches. Low elevation probably sustains sand fly survival because of the underground water sources. Leishmania tropica is the main species in South Khorasan, and control strategies centered on reducing human vector contact should be focused on the at-risk zones.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

CL:

Cutaneous leishmaniasis

MAR:

Mean annual rainfall

MAH:

Mean annual humidity

MAT:

Mean annual temperature

MaxMAT:

Maximum annual temperature

MinMAT:

Minimum annual temperature

MAWD:

Mean annual high-velocity wind days

MAFD:

Mean annual frosty days

MASD:

Mean annual snowy days

ZCL:

Zoonotic cutaneous leishmaniasis

GIS:

Geospatial information systems

RS:

Remote sensing

PCR:

Polymerase chain reaction

IDW:

Inverse distance weighted

DEM:

Digital elevation model

VL:

Visceral leishmaniasis

References

  1. Burza S, Croft SL, Boelaert M. Leishmaniasis. Lancet. 2018;392:951–70.

    Article  Google Scholar 

  2. Alvar J, Vélez ID, Bern C, Herrero M, Desjeux P, Cano J, et al. Leishmaniasis worldwide and global estimates of its incidence. PloS ONE. 2012;7:e35671.

    CAS  Article  Google Scholar 

  3. Ghatee MA, Taylor WR, Karamian M. The geographical distribution of cutaneous leishmaniasis causative agents in Iran and its neighboring countries, a review. Front Public Health. 2020;8:11.

    Article  Google Scholar 

  4. Wijerathna T, Gunathilaka N, Gunawardena K, Rodrigo W. Socioeconomic, demographic and landscape factors associated with cutaneous leishmaniasis in Kurunegala District, Sri Lanka. Parasit Vectors. 2020;13:244.

    Article  Google Scholar 

  5. Firooz A, Mortazavi H, Khamesipour A, Ghiasi M, Abedini R, Balighi K, et al. Old world cutaneous leishmaniasis in Iran: clinical variants and treatments. J Dermatolog Treat. 2020. https://doi.org/10.1080/09546634.2019.1704214.

    Article  PubMed  Google Scholar 

  6. Foroutan M, Khademvatan S, Majidiani H, Khalkhali H, Hedayati-Rad F, Khashaveh S, et al. Prevalence of Leishmania species in rodents: a systematic review and meta-analysis in Iran. Acta Trop. 2017;172:164–72.

    Article  Google Scholar 

  7. Hajaran H, Mohebali M, Zareei ZA, Edrisian GH. Leishmania tropica: another etiological agent of canine visceral leishmaniasis in Iran. Iran J Public Health. 2007;36:85–8.

    Google Scholar 

  8. Ghatee MA, Mirhendi H, Marashifard M, Kanannejad Z, Taylor WR, Sharifi I. Population structure of leishmania tropica causing anthroponotic cutaneous leishmaniasis in southern Iran by PCR-RFLP of kinetoplastid DNA. Biomed Res Int. 2018;2018:6049198.

    Article  Google Scholar 

  9. Nykiforuk CI, Flaman LM. Geographic information systems (GIS) for health promotion and public health: a review. Health Promot Pract. 2011;12:63–73.

    Article  Google Scholar 

  10. Ghatee MA, Haghdoost AA, Kooreshnia F, Kanannejad Z, Parisaie Z, Karamian M, et al. Role of environmental, climatic risk factors and livestock animals on the occurrence of cutaneous leishmaniasis in newly emerging focus in Iran. J Infect Public Health. 2018;11:425–33.

    Article  Google Scholar 

  11. Mollalo A, Alimohammadi A, Shirzadi MR, Malek MR. Geographic information system-based analysis of the spatial and spatio-temporal distribution of zoonotic cutaneous leishmaniasis in Golestan Province, north-east of Iran. Zoonoses Public Health. 2015;62:18–28.

    CAS  PubMed  Google Scholar 

  12. Maracy MR, Jaffary F, Ebrahimi A, Sokhanvari F, Heidari A, Sharifian-Koupaiee H, et al. GIS-based risk mapping of cutaneous leishmaniasis: a survey in an endemic area of Central Iran. Environ Sci Pollut Res. 2021. https://doi.org/10.1007/s11356-021-14455-8.

    Article  Google Scholar 

  13. Karamian M, Kuhls K, Hemmati M, Ghatee MA. Phylogenetic structure of Leishmania tropica in the new endemic focus Birjand in East Iran in comparison to other Iranian endemic regions. Acta Trop. 2016;158:68–76.

    Article  Google Scholar 

  14. Qasemipour E, Abbasi A. Assessment of agricultural water resources sustainability in arid regions using virtual water concept: case of South Khorasan Province, Iran. Water. 2019;11:449.

    Article  Google Scholar 

  15. Mokhtari M, Miri M, Nikoonahad A, Jalilian A, Naserifar R, Ghaffari HR, et al. Cutaneous leishmaniasis prevalence and morbidity based on environmental factors in Ilam, Iran: spatial analysis and land use regression models. Acta Trop. 2016;163:90–7.

    Article  Google Scholar 

  16. Ghatee MA, Sharifi I, Haghdoost AA, Kanannejad Z, Taabody Z, Hatam G, et al. Spatial correlations of population and ecological factors with distribution of visceral leishmaniasis cases in southwestern Iran. J Vector Borne Dis. 2013;50:179.

    PubMed  Google Scholar 

  17. Valero NN, Uriarte M. Environmental and socioeconomic risk factors associated with visceral and cutaneous leishmaniasis: a systematic review. Parasitol Res. 2020;119:365–84.

    Article  Google Scholar 

  18. Reithinger R, Mohsen M, Leslie T. Risk factors for anthroponotic cutaneous leishmaniasis at the household level in Kabul, Afghanistan. PLOS Negl Trop Dis. 2010;4:e639.

    Article  Google Scholar 

  19. Abdulla QB, Shabila NP, Al-Hadithi TS. An outbreak of cutaneous leishmaniasis in Erbil governorate of Iraqi Kurdistan Region in 2015. J Infect Dev Ctries. 2018;12:600–7.

    Article  Google Scholar 

  20. Ghadami M, Raziei T, Amini M, Modarres R. Regionalization of drought severity–duration index across Iran. Nat Hazards. 2020;103:2813–27.

    Article  Google Scholar 

  21. Gomez-Barroso D, Herrador Z, San Martin JV, Gherasim A, Aguado M, Romero-Mate A, et al. Spatial distribution and cluster analysis of a leishmaniasis outbreak in the south-western Madrid region, Spain, September 2009 to April 2013. Euro Surveill. 2015;20:21037.

    Article  Google Scholar 

  22. Zaidi F, Fatima SH, Jan T, Fatima M, Ali A, Khisroon M, et al. Environmental risk modelling and potential sand fly vectors of cutaneous leishmaniasis in Chitral district: a leishmanial focal point of mount Tirich Mir, Pakistan. Trop Med Int Health. 2017;22:1130–40.

    Article  Google Scholar 

  23. Iliopoulou P, Tsatsaris A, Katsios I, Panagiotopoulou A, Romaliades S, Papadopoulos B, et al. Risk mapping of visceral leishmaniasis: a spatial regression model for Attica Region, Greece. Trop med infect dis. 2018;3:83.

    Article  Google Scholar 

  24. Galgamuwa LS, Dharmaratne SD, Iddawela D. Leishmaniasis in Sri Lanka: spatial distribution and seasonal variations from 2009 to 2016. Parasit Vectors. 2018;11:60.

    Article  Google Scholar 

  25. Ramezankhani R, Hosseini A, Sajjadi N, Khoshabi M, Ramezankhani A. Environmental risk factors for the incidence of cutaneous leishmaniasis in an endemic area of Iran: a GIS-based approach. Spat Spatiotemporal Epidemiol. 2017;21:57–66.

    Article  Google Scholar 

  26. Sharafi M, Poormotaseri Z, Karimi J, Rezaeian S, Dehghani SL, Afrashteh S. Spatial analysis and geographic factors associated with cutaneous leishmaniasis in southern Iran. J Environ Health Sustain Dev. 2020;5:928–34.

    Google Scholar 

  27. Azimi F, Shirian S, Jangjoo S, Ai A, Abbasi T. Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran. Geospat Health. 2017;12:478.

    Article  Google Scholar 

  28. Moradiasl E, Rassi Y, Hanafi-Bojd AA, Vatandoost H, Saghafipour A, Adham D, et al. The relationship between climatic factors and the prevalence of visceral leishmaniasis in North West of Iran. Int J Pediatr. 2018;6:7169–78.

    Google Scholar 

  29. Wu X, Lu Y, Zhou S, Chen L, Xu B. Impact of climate change on human infectious diseases: empirical evidence and human adaptation. Environ Int. 2016;86:14–23.

    Article  Google Scholar 

  30. Ali Hanafi-Bojd A, Yaghoobi-Ershadi MR, Haghdoost AA, Akhavan AA, Rassi Y, Karimi A, et al. Modeling the distribution of cutaneous leishmaniasis vectors (Psychodidae:Phlebotominae) in Iran: a potential transmission in disease prone areas. J Med Entomol. 2015;52:557–65.

    Article  Google Scholar 

  31. Fakhar M, Karamian M, Ghatee MA, Taylor WR, Ghohe HP, Rasooli SA. Distribution pattern of anthroponotic cutaneous leishmaniasis caused by Leishmania tropica in Western Afghanistan during 2013–2014. Acta Trop. 2017;176:22–8.

    Article  Google Scholar 

  32. Machado da Silva AV, Mafra Magalhães MD, Peçanha Brazil R, Araujo Carreira JC. Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach. Geospat Health. 2011;6:33–40.

    Article  Google Scholar 

  33. Pérez-Cutillas P, Goyena E, Chitimia L, De la Rúa P, Bernal LJ, Fisa R, et al. Spatial distribution of human asymptomatic Leishmania infantum infection in southeast Spain: a study of environmental, demographic and social risk factors. Acta Trop. 2015;146:127–34.

    Article  Google Scholar 

  34. Seva AD, Mao L, Galvis-Ovallos F, Tucker Lima JM, Valle D. Risk analysis and prediction of visceral leishmaniasis dispersion in São Paulo State. Brazil PLoS Negl Trop Dis. 2017;11:e0005353.

    Article  Google Scholar 

  35. Ghatee MA, Fakhar M, Derakhshani-Niya M, Behrouzi Z, Hosseini TS. Geo-climatic factors in a newly emerging focus of zoonotic visceral leishmaniasis in rural areas of north-eastern Iran. Transbound Emerg Dis. 2020;67:914–23.

    Article  Google Scholar 

  36. Ramezankhani R, Sajjadi N, Jozi SA, Shirzadi MR. Climate and environmental factors affecting the incidence of cutaneous leishmaniasis in Isfahan. Iran Environ Sci Pollut Res. 2018;25:11516–26.

    Article  Google Scholar 

  37. Shirzadi MR, Javanbakht M, Vatandoost H, Jesri N, Saghafipour A, Fouladi-Fard R, et al. Impact of environmental and climate factors on spatial distribution of cutaneous leishmaniasis in northeastern Iran: utilizing remote sensing. J Arthropod Borne Dis. 2020;14:56.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We are grateful to Vice-Chancellor of the Birjand University of Medical Sciences to support this project (No. 455662).

Funding

This research was financially supported by the Vice-Chancellor of the Birjand University of Medical Sciences (project no. 455662).

Author information

Authors and Affiliations

  1. Department of Parasitology and Mycology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

    Mehdi Karamian

  2. Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran

    Mohammad Amin Ghatee

  3. Department of Parasitology, School of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran

    Mohammad Amin Ghatee

  4. Center for Disease Control, Birjand University of Medical Sciences, Birjand, Iran

    Majid Shayesteh, Ghasem Taheri & Mohammad Reza Jamavar

  5. Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand

    Walter Robert Taylor

  6. Oxford Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK

    Walter Robert Taylor

  7. Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran

    Saeed Mohebi-Nejad

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Mk and MAG designed the study. MS, SM, GT, and MRJ collected the data. MAG, MK, and WRT performed analyses and interpreted the results. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Mehdi Karamian or Mohammad Amin Ghatee.

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This study was approved by the Ethics Committee of Birjand University of Medical Sciences (IR.BUMS.REC.1398.229).

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The authors declare that they have no competing interests.

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Karamian, M., Ghatee, M.A., Shayesteh, M. et al. The effect of geo-climatic determinants on the distribution of cutaneous leishmaniasis in a recently emerging focus in eastern Iran. Parasites Vectors 14, 538 (2021). https://doi.org/10.1186/s13071-021-05046-0

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  • DOI: https://doi.org/10.1186/s13071-021-05046-0

Keywords

  • Cutaneous leishmaniasis
  • Emerging focus
  • GIS
  • Geo-climatic determinants

Parasites & Vectors

ISSN: 1756-3305

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