Seasonality of rotavirus in South Asia: a meta-analysis approach assessing associations with temperature, precipitation, and vegetation index.
Seasonality of rotavirus in South Asia: a meta-analysis approach assessing associations with temperature, precipitation, and vegetation index.
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DOI：
10.1371/journal.pone.0038168
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Naumova EN
中科院分区：
文献类型：
--
作者：
Jagai JS;Sarkar R;Castronovo D;Kattula D;McEntee J;Ward H;Kang G;Naumova EN
轮状病毒感染在全世界范围内引起婴幼儿腹泻的比例很大，导致脱水、住院治疗，在某些情况下甚至死亡。轮状病毒感染是发展中国家，如南亚国家的重大疾病负担。我们进行了一项荟萃分析，以研究轮状病毒感染模式与南亚温度和降水的关系。每月轮状病毒的数据是从39个已发表的流行病学研究中提取的，并与每个研究地点的每月累计环境温度和累积降水量相关，使用线性混合效应模型。我们还考虑了与植被指数的关联，从遥感数据收集。最后，我们评估了这种关系是否在热带气候和潮湿的中纬度气候中有所不同。总体而言，以及在热带和潮湿的中纬度气候中，低温和降水水平是轮状病毒腹泻发病率增加的重要预测因素。每月环境温度下降1°C和降水量减少10 mm分别与轮状病毒感染比年度水平增加1.3%和0.3%相关。在评估滞后关系时，前一个月的温度和降水量仍然是重要的预测因子，在热带气候中与温度的关联更强。植被指数也有同样的关联;季节性下降0.1个单位导致轮状病毒感染率增加3.8%。在南亚，轮状病毒感染率最高的月份是寒冷干燥的月份。气象特征可用于更好地关注和针对公共卫生预防计划。
Rotavirus infection causes a significant proportion of diarrhea in infants and young children worldwide leading to dehydration, hospitalization, and in some cases death. Rotavirus infection represents a significant burden of disease in developing countries, such as those in South Asia. We conducted a meta-analysis to examine how patterns of rotavirus infection relate to temperature and precipitation in South Asia. Monthly rotavirus data were abstracted from 39 published epidemiological studies and related to monthly aggregated ambient temperature and cumulative precipitation for each study location using linear mixed-effects models. We also considered associations with vegetation index, gathered from remote sensing data. Finally, we assessed whether the relationship varied in tropical climates and humid mid-latitude climates. Overall, as well as in tropical and humid mid-latitude climates, low temperature and precipitation levels are significant predictors of an increased rate of rotaviral diarrhea. A 1°C decrease in monthly ambient temperature and a decrease of 10 mm in precipitation are associated with 1.3% and 0.3% increase above the annual level in rotavirus infections, respectively. When assessing lagged relationships, temperature and precipitation in the previous month remained significant predictors and the association with temperature was stronger in the tropical climate. The same association was seen for vegetation index; a seasonal decline of 0.1 units results in a 3.8% increase in rate of rotavirus. In South Asia the highest rate of rotavirus was seen in the colder, drier months. Meteorological characteristics can be used to better focus and target public health prevention programs.
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影响因子：
168.9
作者：
Armah, George E.;Sow, Samba O.;Neuzil, Kathleen M.
通讯作者：
Neuzil, Kathleen M.
影响因子：
2.1
作者：
Brownstein, John S.;Rosen, Hilary;Fish, Durland
通讯作者：
Fish, Durland
影响因子：
6.4
作者：
Bahl, R;Ray, P;Bhan, MK
通讯作者：
Bhan, MK
影响因子：
9.4
作者：
Banerjee, Indrani;Ramani, Sasirekha;Kang, Gagandeep
通讯作者：
Kang, Gagandeep
影响因子：
11.8
作者：
Bresee J;Fang ZY;Wang B;Nelson EA;Tam J;Soenarto Y;Wilopo SA;Kilgore P;Kim JS;Kang JO;Lan WS;Gaik CL;Moe K;Chen KT;Jiraphongsa C;Ponguswanna Y;Nguyen VM;Phan VT;Le TL;Hummelman E;Gentsch JR;Glass R;Asian Rotavirus Surveillance Network
通讯作者：
Asian Rotavirus Surveillance Network