Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model.
Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model.
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DOI：
10.3390/ijerph191912192
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发表时间：
2022-09-26
影响因子：
--
通讯作者：
Chun, Byung Chul
中科院分区：
文献类型：
--
作者：
Gomez, Raquel Elizabeth Gomez;Kim, Jeehyun;Hong, Kwan;Jang, Jin Young;Kisiju, Trishna;Kim, Soojin;Chun, Byung Chul
自2009年以来，登革热在巴拉圭一直是地方性疾病，是公共卫生管理相关负担的一个主要原因。然而，巴拉圭仍然缺乏关于气候因素与登革热之间关联的信息。我们旨在调查亚松森的气候因素与登革热之间的关联。每周提取2014年1月至2020年12月的累计登革热病例，并计算登革热的新增病例数和发病率。每周汇总气候因素数据，分析登革热病例与气候因素之间的关联，并选择变量构建我们的模型。使用了广义相加模型，并根据赤池信息准则选择最佳模型。对非线性气候因素进行了分段回归分析。风和相对湿度与登革热病例呈负相关，当温度低于21.3°C时，最低温度与登革热病例呈正相关，当温度高于21.3°C时则呈负相关。需要对亚松森和其他城市的登革热进行更多研究，以便更好地了解登革热。
Dengue fever has been endemic in Paraguay since 2009 and is a major cause of public-health-management-related burdens. However, Paraguay still lacks information on the association between climate factors and dengue fever. We aimed to investigate the association between climatic factors and dengue fever in Asuncion. Cumulative dengue cases from January 2014 to December 2020 were extracted weekly, and new cases and incidence rates of dengue fever were calculated. Climate factor data were aggregated weekly, associations between dengue cases and climate factors were analyzed, and variables were selected to construct our model. A generalized additive model was used, and the best model was selected based on Akaike information criteria. Piecewise regression analyses were performed for non-linear climate factors. Wind and relative humidity were negatively associated with dengue cases, and minimum temperature was positively associated with dengue cases when the temperature was less than 21.3 °C and negatively associated with dengue when greater than 21.3 °C. Additional studies on dengue fever in Asuncion and other cities are needed to better understand dengue fever.
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影响因子：
4.5
作者：
Vu HH;Okumura J;Hashizume M;Tran DN;Yamamoto T
通讯作者：
Yamamoto T
DOI：
10.1080/09603120400012868
发表时间：
2004-12-01
影响因子：
3.2
作者：
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通讯作者：
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影响因子：
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作者：
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2.5
作者：
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影响因子：
8.1
作者：
Ehelepola ND;Ariyaratne K;Buddhadasa WM;Ratnayake S;Wickramasinghe M
通讯作者：
Wickramasinghe M