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.
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...
| Main Authors: | , , , |
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Tehran University of Medical Sciences
2021-05-01
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| Online Access: | http://irje.tums.ac.ir/article-1-6927-en.html |
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| author | M Javanbakht M Argani K Ezimand A Saghafipour |
| author_facet | M Javanbakht M Argani K Ezimand A Saghafipour |
| author_sort | M Javanbakht |
| collection | DOAJ |
| description | 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. |
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| issn | 1735-7489 2228-7507 |
| language | fas |
| last_indexed | 2024-04-13T00:34:44Z |
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| series | مجله اپیدمیولوژی ایران |
| spelling | doaj.art-a76ce58ed86943edbdd1fd63c471f1bf2022-12-22T03:10:23ZfasTehran University of Medical Sciencesمجله اپیدمیولوژی ایران1735-74892228-75072021-05-0117121331. 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.M Javanbakht0M Argani1K Ezimand2A Saghafipour3 hD Student in Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran Assistant Professor Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran PhD Student in Remote Sensing and GIS, Faculty of Earth Science, University of Shahid Beheshti, Tehran, Iran Assistant Professor, Department of Public Health, Faculty of Public Health, Qom University of Medical Sciences, Qom, Iran 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.http://irje.tums.ac.ir/article-1-6927-en.htmlcutaneous leishmaniasisenvironmental and ecological criteriaartificial neural networksensitivity analysis |
| spellingShingle | M Javanbakht M Argani K Ezimand A Saghafipour 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. مجله اپیدمیولوژی ایران cutaneous leishmaniasis environmental and ecological criteria artificial neural network sensitivity analysis |
| title | 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. |
| title_full | 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. |
| title_fullStr | 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. |
| title_full_unstemmed | 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. |
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| title_sort | 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 |
| topic | cutaneous leishmaniasis environmental and ecological criteria artificial neural network sensitivity analysis |
| url | http://irje.tums.ac.ir/article-1-6927-en.html |
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