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Monthly district level risk of dengue occurrences in Sakon Nakhon Province, Thailand

机译:泰国沙功那空府每月区域一级登革热发生的风险

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摘要

The paper deals with the incidence of the Dengue Virus Infection (DV1) in the 18 districts of Sakon Nakhon Province, Thailand, from January 2005 to December 2007. Using a statistical and autoregressive analysis to smooth incidence data, we have constructed yearly and monthly district level maps of the DV1 distribution. It is found that the DVI incidence is very correlated with weather conditions and higher occurrences are observed in the three most populated districts Wanon Niwat, Sawang Daen Din and Mueang Sakon Nakhon, and the virus transmission period spans from mid-summer to mid-rainy seasons (from April to August). Employing a Generalized Linear Model (GLM), we found that the DVI incidences were related with current meteorological (monthly minimum temperature, past 2-month cumulated rainfall) and socio-economical (population of 0-4 years old, per capita number of public small water wells, and proportion of villages with primary schools) covariates. And using the GLM under the climate change conditions (A1B scenario of IPCC), we found that the higher risk of DVI spreads from the three most populated districts to less populated ones, and the period of virus transmission increases from 5 to 9 months to include part of winter, summer and rainy seasons (from March to November) during which 6%, 61% and 33% of districts will be at low, medium and high risk of DVI occurrences, respectively.
机译:本文研究了泰国沙空那空省18个地区从2005年1月至2007年12月的登革热病毒感染(DV1)的发病率。我们使用统计和自回归分析来平滑发病率数据,我们建立了年度和月度地区DV1分布的级别图。研究发现,DVI的发生与天气状况密切相关,并且在人口最多的三个地区Wanon Niwat,Sawang Daen Din和Mueang Sakon Nakhon发生率更高,病毒传播期从仲夏到中雨季节。 (从4月到8月)。使用广义线性模型(GLM),我们发现DVI的发生与当前的气象(每月最低温度,过去2个月的累积降雨量)和社会经济(0-4岁的人口,人均公众数量)相关。小水井,以及有小学的村庄比例)协变量。在气候变化条件下(IPCC的A1B情景)使用GLM,我们发现DVI的较高风险从人口最多的三个地区扩散到人口较少的地区,病毒传播时间从5个月增加到9个月,包括冬季,夏季和雨季(3月至11月)的一部分,在此期间,分别有6%,61%和33%的地区处于发生DVI的低,中和高风险中。

著录项

  • 来源
    《Science of the total environment》 |2010年第22期|p.5521-5528|共8页
  • 作者单位

    Faculty of Science and Technology, Sakon Nakhon Rajabhat University, Nittayo Road, That Choeng Chum, Mueang, Sakon Nakhon, 47000, Thailand;

    INRA, UR346 d'Epidemiologie Animale, F63122 Saint Genes Champanelle, VetAgro Sup/Universite de Lyon, 1 avenue Bourgelat, F - 69280 Marcy L'Etoile, France,Biomathematiques et Epidemiologie, EPSP - TIMC, UMR CNRS 5525 UJF/VetAgro Sup, I avenue Bourgelat, F - 69280 Marcy l'Etoile, France;

    Sakon Nakhon Provincial Public Health Office, Mueang, Sakon Nakhon, 47000, Thailand;

    Faculty of Science and Technology, Sakon Nakhon Rajabhat University, Nittayo Road, That Choeng Chum, Mueang, Sakon Nakhon, 47000, Thailand;

    Biomathematiques et Epidemiologie, EPSP - TIMC, UMR CNRS 5525 UJF/VetAgro Sup, I avenue Bourgelat, F - 69280 Marcy l'Etoile, France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    dengue virus infection; incidence; meteorological factors; socio-economical indicators; occurrence risk;

    机译:登革热病毒感染;发生率气象因素;社会经济指标;发生风险;
  • 入库时间 2022-08-17 13:56:27

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