مقاله انگلیسی رایگان در مورد پیش بینی کننده تحلیل توزیع لیشمانیوز احشا – الزویر ۲۰۱۹

مقاله انگلیسی رایگان در مورد پیش بینی کننده تحلیل توزیع لیشمانیوز احشا – الزویر ۲۰۱۹

 

مشخصات مقاله
ترجمه عنوان مقاله شرایط هواشناسی، ارتفاع و پوشش زمین به عنوان پیش بینی کننده برای تحلیل توزیع لیشمانیوز احشا در استان سین کیانگ، سرزمین اصلی چین
عنوان انگلیسی مقاله Meteorological conditions, elevation and land cover as predictors for the distribution analysis of visceral leishmaniasis in Sinkiang province, Mainland China
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۶ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR – MedLine
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF) ۴٫۶۱۰ در سال ۲۰۱۷
شاخص H_index ۱۹۰ در سال ۲۰۱۹
شاخص SJR ۱٫۵۴۶ در سال ۲۰۱۹
رشته های مرتبط پزشکی
گرایش های مرتبط اپیدمیولوژی
نوع ارائه مقاله ژورنال
مجله / کنفرانس علم محیط زیست – Science of the Total Environment
دانشگاه Northeast Agricultural University – PR China
کلمات کلیدی تحلیل توزیع، لیشمانیوز احشا، Phlebotomine sandfly، پوشش زمین، عوامل هواشناسی، مدل آنتروپی حداکثر
کلمات کلیدی انگلیسی Distribution analysis, Visceral leishmaniasis, Phlebotomine sandfly, Land cover, Meteorological factors, Maximum entropy model
شناسه دیجیتال – doi
https://doi.org/10.1016/j.scitotenv.2018.07.391
کد محصول E9476
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱ Introduction
۲ Material and methods
۳ Results
۴ Discussion
۵ Conclusion
References

بخشی از متن مقاله:
abstract

Visceral leishmaniasis (VL) is a fatal disease caused by sandfly-borne protozoa of the Leishmania genus. This study explored the influence of environmental factors on the distribution of VL in Sinkiang province, Mainland China, which is a known natural focus of leishmaniasis. Disease identification records were obtained from publicly available data, in which the existence of VL at each geographical location had been recorded as part of the surveillance of leishmaniasis in Sinkiang province. Maximum entropy modelling (Maxent) was used to predict the distribution of VL across Sinkiang province, and to match this distribution against environmental variables relating to elevation, climate and land cover, obtained from the WorldClim database, China Meteorological Data Sharing System and the National Geomatic Center of China dataset, respectively. Finally, a regional-scale map was developed to show the potential distribution of VL in the Sinkiang province. Receiver-Operating characteristic (ROC) analysis was used to evaluate the performance of the model. The daily average temperature, maximum temperature of the warmest quarter, daily precipitation and precipitation of the driest month were each found to be predictive of the distribution of VL in Sinkiang. Moreover, we found that presence of VL was significantly influenced by the distribution of grassland and shrubland. The results demonstrate that with proper construction and design, probability surfaces using Maxent can be used as an accurate method by which to predict the distribution of VL in Sinkiang province. The information generated by the model could be used to inform the design of detailed prevention and control strategies for leishmaniasis in this region of Mainland China.

Introduction

Visceral leishmaniasis (VL), which is caused by Leishmania genus, is a fatal global disease. Every year, approximately 200,000 to 400,000 VL cases occur in the world, which result in 20,000 to 40,000 deaths per year (Alvar et al., 2012; WHO, 2010). Due to the expenses incurred in treating the disease, as well as the interruption to development programmes that results from disease outbreaks, VL is also associated with the propagation of poverty (Alvar et al., 2006; Cortes et al., 2012). Moreover, because there is an overlap in the distribution of leishmaniasis and human immunodeficiency virus (HIV), there has been an emergence of Leishmania/HIV co-infection (Desjeux, 2004). Because this background, leishmaniasis is ranked 9th in the list of global infectious disease and constitutes a serious global public health risk (Dilger, 2013). VL was a very prevalent infectious disease in Mainland China before the 1950s. Only in 1951, N530,000 VL cases have been reported in this region (Wang et al., 2012). However, as a result of a major national control program, the disease has now effectively been controlled in the east and southeast China (Lun et al., 2015). In the northwest of Mainland China, including Sinkiang province, the disease is still endemic. Previous research has clearly demonstrated that Sinkiang province is a natural focus of VL (Wang et al., 2011).

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