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13 Treffer

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  1. Detailansicht für Treffer 1 öffnen
    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 (2021-05-01), Heft 1, S. 21-33
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  2. Detailansicht für Treffer 2 öffnen
    FORMULATING ENVIRONMENTAL AND SOCIAL INDICATORS FOR SUSTAINABLE DEVELOPMENT. ESRI Policy Research Series, 1996
    Scott, S. ; Nolan, B. ; et al.
    1996
    Online report
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    Diesen Eintrag von University of Pittsburgh anschauen (Volltext)
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  3. Detailansicht für Treffer 3 öffnen
    Book Review of Teaching Quality of Life in Different Domains (2020). Edited by Graciela H. Tonon. Social Indicators Research Series, Volume 79. (Switzerland: Springer Nature). ISBN 978-3-030-21551-4, 300 Pages
    Ludwigs, Kai
    In: Applied research in quality of life, Jg. 15 (2020), Heft 4, S. 1245-1246
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  4. Detailansicht für Treffer 4 öffnen
    Review of the Book 'A New Research Agenda for Improvements in Quality of Life', edited by Filomena Maggino, Social Indicators Research Series N° 57, Springer. ISBN 978-3-319-15904-1
    Zulaica, L.
    In: APPLIED RESEARCH IN QUALITY OF LIFE, Jg. 11 (2016), Heft 2, S. 631-633
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  5. Detailansicht für Treffer 5 öffnen
    Valerie Moller, Denis Huschka and Alex C. Michalos (Eds.) (2008). Barometers of quality of life around the globe: How are we doing? Social Indicators Research Series
    Breznau, N.
    In: INTERNATIONAL JOURNAL OF PUBLIC OPINION RESEARCH, Jg. 22 (2010), Heft 1, S. 132-134
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  6. Detailansicht für Treffer 6 öffnen
    CYNICAL STREETS: NEIGHBORHOOD SOCIAL PROCESSES AND PERCEPTIONS OF CRIMINAL INJUSTICE Table S1. Model Comparison for a One- and Two-Factor Solution of Criminal Injustice Perceptions and Moral/Legal Cynicism Table S2. Confirmatory Factor Analysis Standardized Loadings for the Indicators of Criminal Injustice Perceptions and Moral/Legal Cynicism Table S3. Metrics and Definitions for Control Variables Studies have found that African Americans are more likely to perceive racial biases in the criminal justice system than are those from other racial groups. There is a limited understanding of how neighborhood social processes affect variation in these perceptions. This study formulates a series of hypotheses focused on whether perceived racial biases in the criminal justice system or perceptions of injustice vary as a function of levels of moral and legal cynicism as well as of adverse police-citizen encounters. These hypotheses are tested with multilevel regression models applied to data from a sample of 689 African Americans located in 39 neighborhoods. Findings from the regression models indicate that the positive association between structural disadvantage and perceptions of injustice is accounted for by moral and legal cynicism. Furthermore, adverse police encounters significantly increase perceptions of injustice; controlling for these encounters reduces the strength of the association between cynicism and injustice perceptions. Finally, the findings reveal that cynicism intensifies the association between adverse police encounters and perceptions of criminal injustice. The results are discussed in terms of their implications for research regarding perceived biases in the criminal justice system and neighborhood social processes. Additional supporting information can be found in the listing for this article in the Wiley Online Library at http://onlinelibrary.wiley.com/doi/10.1111/crim.2016.54.issue-3/issuetoc. This research was supported by the National Institute of Mental Health (MH48165, MH62669) and the Centers for Disease Control and Prevention (029136-02), with additional funding by the National Institute on Drug Abuse, the National Institute on Alcohol Abuse and Alcoholism, and the Iowa Agriculture and Home Economics Experiment Station (Project #3320). We wish to thank Ethan Rogers for his helpful comments on earlier drafts of this article.
    In: CRIMINOLOGY -BEVERLY HILLS THEN COLUMBUS-, Jg. 54 (2016), Heft 3, S. 520-547
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  7. Detailansicht für Treffer 7 öffnen
    Lost in data space? Joseph Sirgy, The Psychology of Quality of Life, Social Indicators Research Series, Dordrecht, Kluwer Academic Publishers, 2002, Vol. 12, ISBN 1-4020-0800-7
    Bergsma, Ad
    In: Journal of Happiness Studies, Jg. 9 (2008-09-01), Heft 3, S. 471-473
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  8. Detailansicht für Treffer 8 öffnen
    Dieser Titel kann aus lizenzrechtlichen Gründen nur im Campusnetz oder nach Anmeldung angezeigt werden!
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  9. Detailansicht für Treffer 9 öffnen
    Social indicators research series : SINS
    2017
    Online E-Book
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  10. Detailansicht für Treffer 10 öffnen
    Social indicators research series
    1997
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  11. Detailansicht für Treffer 11 öffnen
    Teaching Quality of Life in Different Domains: Edited by Graciela H. Tonon. Cham: Springer Nature, 2020, Social Indicators Research Series, Vol. 79, pp. 304, ISBN 978-3-030-21551-4.
    Wiebesiek, Lisa
    In: Journal of Human Development & Capabilities, Jg. 23 (2022-05-01), Heft 2, S. 323-325
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  12. Detailansicht für Treffer 12 öffnen
    Social indicators research series : SINS
    1997
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  13. Detailansicht für Treffer 13 öffnen
    Teaching Quality of Life in Different Domains: Tonon, G. (Ed.) (2020). Social Indicators Research Series 79, Cham, Switzerland, Springer. ISBN No: 978-3-030-21550-7.
    Alieva, Deniza
    In: Journal of Psychology in Africa, Jg. 31 (2021-10-01), Heft 5, S. 546-547
    Online review
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