1. Steverding D. The history of leishmaniasis. Parasit Vectors. 2017; 10: 82. 2. Norouzinezhad F, Ghaffari F, Norouzinejad A, Kaveh F, Gouya MM. Cutaneous leishmaniasis in Iran: Results from an epidemiological study in urban and rural provinces. Asian Pacific Journal of Tropical Medicine. 2016; 6: 614-619. 3. Torres-Guerrero E, Quintanilla-Cedillo MR, Ruiz-Esmenjaud J, Arenas R. Leishmaniasis: a review. F1000Research. 2017; 6: 750. 4. Salimi M, Saghafipour A, Hamidi Parsa H, Khosravi M, Shirzadi M R. Economic Burden Evaluation of Cutaneous Leishmaniasis in Iran. Shiraz E-Medical Journal. 2019; 20: e82810. 5. Shirzadi MR, Javanbakht M, Jesri N, Saghafipour A. Spatial Distribution of Cutaneous Leishmaniasis Cases Referred to Health Centers of Three Khorasan Provinces in Iran Using Geographical Information System. Iranian Journal of Public Health. 2019; 48: 1885-1892. 6. Salimi M, Jesri N, Javanbakht M, Farahani LZ, Shirzadi MR, Saghafipour A. Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran. Journal of Parasitic Diseases. 2018; 42: 570-6. 7. Vesali Monfared E, Sadeghi R, Sedaghat M M, Saghafipour A, Tol A, Yaseri M. Effect of educational intervention based on social cognitive theory on promoting preventive behaviors of cutaneous leishmaniasis. Koomesh. 2018; 20: 692-8. 8. Saghafipour A, Nejati J, Mozaffari E, Rezaei F, Gharlipour Z, Mirheydari M. The Effectiveness of Education Based on BASNEF Model on Promoting Preventive Behavior of Cutaneous Leishmaniasis among Students. International Journal of Pediatrics. 2017; 5: 5125-36. 9. Rassi Y, Saghafipour A, Abai MR, Oshaghi MA, Rafizadeh S, Mohebali M, et al. Phlebotomus papatasi and Meriones libycus as the vector and reservoir host of cutaneous leishmaniasis in Qomrood District, Qom Province, central Iran. Asian Pacific Journal of Tropical Medicine. 2011; 4: 97-100. 10. Bamorovat M, Sharifi I, Dabiri S, Mohammadi MA, Fasihi Harandi M, Mohebali M, Aflatoonian MR, Keyhani A. Leishmania tropica in Stray Dogs in Southeast Iran. Iranian Journal of Public Health. 2015; 44: 1359-66. 11. Saghafipour A, Vatandoost H, Zahraei-Ramazani AR, Yaghoobi-Ershadi MR, Rassi Y, Shirzadi MR, et al. Spatial Distribution of Phlebotomine Sand Fly Species (Diptera: Psychodidae) in Qom Province, Central Iran. Journal of Medical Entomology. 2017; 54: 35-43. 12. Khademvatan S, Salmanzadeh S, Foroutan-Rad M, Bigdeli S, Hedayati-Rad F, Saki J, Heydari-Gorji E. Spatial distribution and epidemiological features of cutaneous leishmaniasis in southwest of Iran. Alexandria Journal of Medicine. 2017; 53: 93-8. 13. Entezari M, Eskandari F. Relationship between Climatic Factors and the Prevalence of Cutaneous Leishmaniasis in Larestan City. Journal of Military Medicine. 2014; 16: 99-104. 14. Cardenas R, Sandoval CM, Rodriguez-Morales AJ, Franco-Paredes C. Impact of climate variability in the occurrence of leishmaniasis in northeastern Colombia. The American Journal of Tropical Medicine and Hygiene. 2006; 1; 75: 273-7. 15. Patz JA, Olson SH, Uejio CK, Gibbs HK. Disease emergence from global climate and land use change. Medical Clinics of North America. 2008; 1; 92: 1473-91. 16. Ali-Akbarpour M, Mohammadbeigi A, Tabatabaee SH, Hatam G. Spatial analysis of eco-environmental risk factors of cutaneous leishmaniasis in southern Iran. Journal of Cutaneous and Aesthetic Surgery. 2012; 5: 30-35. 17. 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. Spatial and Spatio-temporal Epidemiology. 2017; 1; 21: 57-66. 18. AhangarCani M, Farnaghi M, Shirzadi M R. Predictive Map of Spatio-Temporal Distribution of Leptospirosis Using Geographical Weighted Regression and Multilayer Perceptron Neural Network Methods. Journal of Geomatics Science and Technology, 6, 79-98. 19. Statistical Center of Iran. Iran statistical yearbook. Tehran, Iran: Statistical Center of Iran, Press; 2016. 20. Fu P, Rich PM. The solar analyst 1.0 user manual. Helios Environmental Modeling Institute. 2000; 1616. 21. Garrett JH. Where and why artificial neural networks are applicable in civil engineering. 22. Manhaj, Mohammadbagher, 2002. Principles of Artificial Neural Networks. Published by Industrial University of Amirkabir (Tehran Polytechnic), Tehran. 23. Lee S, Park I, Koo BJ, Ryu JH, Choi JK, Woo HJ. Macrobenthos habitat potential mapping using GIS-based artificial neural network models. Marine pollution bulletin. 2013; 67: 177-86. 24. Hao W, Lu Z, Wei P, Feng J, Wang B. A new method on ANN for variance based importance measure analysis of correlated input variables. Structural Safety. 2012; 38: 56-63. 25. Ligmann-Zielinska A. Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science. 2013; 27: 1764-81. 26. Saltelli A, Tarantola S, Campolongo F. Sensitivity analysis as an ingredient of modeling. Statistical Science. 2000; 15: 377-95. 27. Saisana M, Saltelli A, Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2005; 168: 307-23. 28. Montgomery DC. Design and analysis of experiments. John wiley & sons; 2017. 29. Holakouie-Naieni K, Mostafavi E, Boloorani AD, Mohebali M, Pakzad R. Spatial modeling of cutaneous leishmaniasis in Iran from 1983 to 2013. Acta Tropica. 2017; 166: 67-73. 30. Salahi-Moghaddam A, Khoshdel AL, Hanafi-Bojd AA, Sedaghat MM. Mapping and review of leishmaniasis, its vectors and main reservoirs in Iran. Journal of Kerman University of Medical Sciences. 2015; 22: 83-104. 31. Hlavacova J, Votypka J, Volf P. The effect of temperature on Leishmania (Kinetoplastida: Trypanosomatidae) development in sand flies. Journal of Medical Entomology. 2013; 50: 955-8. 32. Mozaffari GH, Bakhshizade Kloche F, Ghaybi M. Analysis relationship between vegetation cover and Salak skin disease in Yazd-Ardakan plain. Geography and Environmental Planning Journal. 2011; 22: 47-50. 33. Farajzadeh M, Gholamy S, Ghavidel Y. Identifying the Climatic Factors Affecting the Prevalence of Cutaneous Leishmaniosis in Ilam Province, Iran, Using Satellite Imagery. Hakim Health System Research. 2016; 19: 152-162. 34. Rassi Y. Hanafi -Bojd AA. Phlebotominae Sand flies, vector of leishmaniases. 1th ed. Tehran: Noavaran Elm Publications; 1387. 39-58. 35. Alavinia SM, Arzamani K, Reihani MH, Jafari J. Some Epidemiological Aspects of Cutaneous Leishmaniasis in Northern Khorasan Province, Iran. Journal of Arthropod-Borne Diseases. 2009; 3: 50-54. 36. Singh K. Studies on the role of climatological factors in the distribution of phlebotomine sandflies (Diptera: Psychodidae) in semi-arid areas of Rajasthan, India. Journal of Arid Environments. 1999; 42: 43-8.

Javanbakht, M ; Argani, M ; et al.

In: مجله اپیدمیولوژی ایران, Jg. 17 (2021), Heft 1, S. 21-33

Online academicJournal

Zugriff:

View record in DOAJ (Volltext)

Background and Objectives: Environmental conditions in different geographical areas provide a basis for the spread of some diseases. Cutaneous leishmaniasis is a serious threat to public health and is one of the arthropod-borne diseases. The prevalence and distribution of this disease is affected by environmental and climatic factors. The aim of this study was to model the Spatio-temporal variations in the incidence rate of this disease based on environmental and ecological criteria. Methods: The northeast of Iran was selected as the study area. The data used in this study included vegetation, surface temperature, precipitation, evapotranspiration, soil moisture, digital elevation model and sunny hours. The artificial neural network method was used to model the spatio-temporal changes of cutaneous leishmaniasis. Results: Spatial variations in the incidence of the disease had a north-south trend and decreased from north to south. In addition, two foci were identified in the medium altitude areas in North and South Khorasan provinces. Temporal variations in the incidence of disease in the study period showed that the incidence rate decreased in the two identified foci from 2011 to 2016. Conclusion: The modeling results showed that the estimated regression coefficient was 0.92 for neural network based on all three types of data (training, validation, test) indicating good quality of constructed neural network. In addition, sensitivity analysis results showed that sunny hours and soil moisture were the most important factors in the model function.

Titel:	1. Steverding D. The history of leishmaniasis. Parasit Vectors. 2017; 10: 82. 2. Norouzinezhad F, Ghaffari F, Norouzinejad A, Kaveh F, Gouya MM. Cutaneous leishmaniasis in Iran: Results from an epidemiological study in urban and rural provinces. Asian Pacific Journal of Tropical Medicine. 2016; 6: 614-619. 3. Torres-Guerrero E, Quintanilla-Cedillo MR, Ruiz-Esmenjaud J, Arenas R. Leishmaniasis: a review. F1000Research. 2017; 6: 750. 4. Salimi M, Saghafipour A, Hamidi Parsa H, Khosravi M, Shirzadi M R. Economic Burden Evaluation of Cutaneous Leishmaniasis in Iran. Shiraz E-Medical Journal. 2019; 20: e82810. 5. Shirzadi MR, Javanbakht M, Jesri N, Saghafipour A. Spatial Distribution of Cutaneous Leishmaniasis Cases Referred to Health Centers of Three Khorasan Provinces in Iran Using Geographical Information System. Iranian Journal of Public Health. 2019; 48: 1885-1892. 6. Salimi M, Jesri N, Javanbakht M, Farahani LZ, Shirzadi MR, Saghafipour A. Spatio-temporal distribution analysis of zoonotic cutaneous leishmaniasis in Qom Province, Iran. Journal of Parasitic Diseases. 2018; 42: 570-6. 7. Vesali Monfared E, Sadeghi R, Sedaghat M M, Saghafipour A, Tol A, Yaseri M. Effect of educational intervention based on social cognitive theory on promoting preventive behaviors of cutaneous leishmaniasis. Koomesh. 2018; 20: 692-8. 8. Saghafipour A, Nejati J, Mozaffari E, Rezaei F, Gharlipour Z, Mirheydari M. The Effectiveness of Education Based on BASNEF Model on Promoting Preventive Behavior of Cutaneous Leishmaniasis among Students. International Journal of Pediatrics. 2017; 5: 5125-36. 9. Rassi Y, Saghafipour A, Abai MR, Oshaghi MA, Rafizadeh S, Mohebali M, et al. Phlebotomus papatasi and Meriones libycus as the vector and reservoir host of cutaneous leishmaniasis in Qomrood District, Qom Province, central Iran. Asian Pacific Journal of Tropical Medicine. 2011; 4: 97-100. 10. Bamorovat M, Sharifi I, Dabiri S, Mohammadi MA, Fasihi Harandi M, Mohebali M, Aflatoonian MR, Keyhani A. Leishmania tropica in Stray Dogs in Southeast Iran. Iranian Journal of Public Health. 2015; 44: 1359-66. 11. Saghafipour A, Vatandoost H, Zahraei-Ramazani AR, Yaghoobi-Ershadi MR, Rassi Y, Shirzadi MR, et al. Spatial Distribution of Phlebotomine Sand Fly Species (Diptera: Psychodidae) in Qom Province, Central Iran. Journal of Medical Entomology. 2017; 54: 35-43. 12. Khademvatan S, Salmanzadeh S, Foroutan-Rad M, Bigdeli S, Hedayati-Rad F, Saki J, Heydari-Gorji E. Spatial distribution and epidemiological features of cutaneous leishmaniasis in southwest of Iran. Alexandria Journal of Medicine. 2017; 53: 93-8. 13. Entezari M, Eskandari F. Relationship between Climatic Factors and the Prevalence of Cutaneous Leishmaniasis in Larestan City. Journal of Military Medicine. 2014; 16: 99-104. 14. Cardenas R, Sandoval CM, Rodriguez-Morales AJ, Franco-Paredes C. Impact of climate variability in the occurrence of leishmaniasis in northeastern Colombia. The American Journal of Tropical Medicine and Hygiene. 2006; 1; 75: 273-7. 15. Patz JA, Olson SH, Uejio CK, Gibbs HK. Disease emergence from global climate and land use change. Medical Clinics of North America. 2008; 1; 92: 1473-91. 16. Ali-Akbarpour M, Mohammadbeigi A, Tabatabaee SH, Hatam G. Spatial analysis of eco-environmental risk factors of cutaneous leishmaniasis in southern Iran. Journal of Cutaneous and Aesthetic Surgery. 2012; 5: 30-35. 17. 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. Spatial and Spatio-temporal Epidemiology. 2017; 1; 21: 57-66. 18. AhangarCani M, Farnaghi M, Shirzadi M R. Predictive Map of Spatio-Temporal Distribution of Leptospirosis Using Geographical Weighted Regression and Multilayer Perceptron Neural Network Methods. Journal of Geomatics Science and Technology, 6, 79-98. 19. Statistical Center of Iran. Iran statistical yearbook. Tehran, Iran: Statistical Center of Iran, Press; 2016. 20. Fu P, Rich PM. The solar analyst 1.0 user manual. Helios Environmental Modeling Institute. 2000; 1616. 21. Garrett JH. Where and why artificial neural networks are applicable in civil engineering. 22. Manhaj, Mohammadbagher, 2002. Principles of Artificial Neural Networks. Published by Industrial University of Amirkabir (Tehran Polytechnic), Tehran. 23. Lee S, Park I, Koo BJ, Ryu JH, Choi JK, Woo HJ. Macrobenthos habitat potential mapping using GIS-based artificial neural network models. Marine pollution bulletin. 2013; 67: 177-86. 24. Hao W, Lu Z, Wei P, Feng J, Wang B. A new method on ANN for variance based importance measure analysis of correlated input variables. Structural Safety. 2012; 38: 56-63. 25. Ligmann-Zielinska A. Spatially-explicit sensitivity analysis of an agent-based model of land use change. International Journal of Geographical Information Science. 2013; 27: 1764-81. 26. Saltelli A, Tarantola S, Campolongo F. Sensitivity analysis as an ingredient of modeling. Statistical Science. 2000; 15: 377-95. 27. Saisana M, Saltelli A, Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2005; 168: 307-23. 28. Montgomery DC. Design and analysis of experiments. John wiley & sons; 2017. 29. Holakouie-Naieni K, Mostafavi E, Boloorani AD, Mohebali M, Pakzad R. Spatial modeling of cutaneous leishmaniasis in Iran from 1983 to 2013. Acta Tropica. 2017; 166: 67-73. 30. Salahi-Moghaddam A, Khoshdel AL, Hanafi-Bojd AA, Sedaghat MM. Mapping and review of leishmaniasis, its vectors and main reservoirs in Iran. Journal of Kerman University of Medical Sciences. 2015; 22: 83-104. 31. Hlavacova J, Votypka J, Volf P. The effect of temperature on Leishmania (Kinetoplastida: Trypanosomatidae) development in sand flies. Journal of Medical Entomology. 2013; 50: 955-8. 32. Mozaffari GH, Bakhshizade Kloche F, Ghaybi M. Analysis relationship between vegetation cover and Salak skin disease in Yazd-Ardakan plain. Geography and Environmental Planning Journal. 2011; 22: 47-50. 33. Farajzadeh M, Gholamy S, Ghavidel Y. Identifying the Climatic Factors Affecting the Prevalence of Cutaneous Leishmaniosis in Ilam Province, Iran, Using Satellite Imagery. Hakim Health System Research. 2016; 19: 152-162. 34. Rassi Y. Hanafi -Bojd AA. Phlebotominae Sand flies, vector of leishmaniases. 1th ed. Tehran: Noavaran Elm Publications; 1387. 39-58. 35. Alavinia SM, Arzamani K, Reihani MH, Jafari J. Some Epidemiological Aspects of Cutaneous Leishmaniasis in Northern Khorasan Province, Iran. Journal of Arthropod-Borne Diseases. 2009; 3: 50-54. 36. Singh K. Studies on the role of climatological factors in the distribution of phlebotomine sandflies (Diptera: Psychodidae) in semi-arid areas of Rajasthan, India. Journal of Arid Environments. 1999; 42: 43-8.
Autor/in / Beteiligte Person:	Javanbakht, M ; Argani, M ; Ezimand, K ; Saghafipour, A
Link:	View record in DOAJ (Volltext) Volltext über EZB Informationen zur Zeitschrift Dokumentenlieferdienst HS Gesundheit http://irje.tums.ac.ir/article-1-6927-en.html https://doaj.org/toc/1735-7489 https://doaj.org/toc/2228-7507
Zeitschrift:	مجله اپیدمیولوژی ایران, Jg. 17 (2021), Heft 1, S. 21-33
Veröffentlichung:	Tehran University of Medical Sciences, 2021
Medientyp:	academicJournal
ISSN:	1735-7489 (print) ; 2228-7507 (print)
Schlagwort:	cutaneous leishmaniasis environmental and ecological criteria artificial neural network sensitivity analysis Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Sonstiges:	Nachgewiesen in: Directory of Open Access Journals Sprachen: Persian Collection: LCC:Medical emergencies. Critical care. Intensive care. First aid Document Type: article File Description: electronic resource Language: Persian

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

BibTeX Citavi, JabRef, u.a.
(Literaturverwaltung)

PDF kein Volltext!
(Merkzettel, Notizen)

RIS Endnote, Citavi u.a.
(Literaturverwaltung)

MODS
(XML zur Weiterverarbeitung)

oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

Gewünschter Zitations-Stil:

oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.