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Iranian Journal of Public Health، جلد ۴۷، شماره ۹، صفحات ۱۲۸۰-۱۲۹۰
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عنوان انگلیسی Modeling Spatio-temporal Malaria Risk Using Remote Sensing and Environmental Factors
چکیده انگلیسی مقاله Abstract Background: Remote sensing have been intensively used across many disciplines, however, such information was limited in spatial epidemiology. Methods: Two years (2009 & 2010) Landsat TM satellite data was used to develop vegetation, water bodies, air temperature and humidity criterion maps to model malaria risk and its spatiotemporal seasonal variation. The criterion maps were used in weighted overlay analysis to generate final categorized malaria risk map. Results: Overall, 25%, 68%, 18% and 16% of the total area of Rawalpindi region was categorized as danger zone for Jun 2009, Oct 2009, Jan 2010 and Jun 2010, respectively. The malaria risk reached at its peak during the monsoon season whereas air temperature and relative humidity were the main contributing factors in seasonal variation. Conclusion: Malaria risk maps could be used for prioritizing areas for malaria control measures.
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نویسندگان مقاله | Muhammad Haris MAZHER
Institute of Geographic Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, Pakistan


| Javed IQBAL
Institute of Geographic Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, Pakistan


| Muhammad Ahsan MAHBOOB
Institute of Geographic Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, Pakistan


| Iqra ATIF


نشانی اینترنتی http://ijph.tums.ac.ir/index.php/ijph/article/view/14580
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/86/article-86-827648.pdf
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Article(s)
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