Tropical influenza and weather variability among children in an urban low-income population in Bangladesh.
Tropical influenza and weather variability among children in an urban low-income population in Bangladesh.
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DOI：
10.3402/gha.v7.24413
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发表时间：
2014
影响因子：
2.6
通讯作者：
Hashizume M
中科院分区：
文献类型：
--
作者：
Imai C;Brooks WA;Chung Y;Goswami D;Anjali BA;Dewan A;Kim H;Hashizume M
热带地区的流感季节性知之甚少，也不像温带地区那样有很好的记录。此外，由于资源有限和过度拥挤，低收入人口被认为极易感染这种急性呼吸道疾病。然而，由于缺乏数据，人们对他们的实际疾病负担知之甚少。因此，我们调查了孟加拉国达卡贫困城市地区5岁以下儿童热带流感发病率和天气变化之间的关系。急性呼吸道疾病数据来自Kamalapur（达卡东南部的一个低收入城市地区）基于人群的呼吸道和发热性疾病监测数据集。分析数据为2005年1月至2008年12月。在门诊访视期间，从每五名合格的监测参与者中采集鼻咽冲洗液标本，以通过病毒培养和逆转录酶-聚合酶链反应鉴定流感病毒感染。进行时间序列分析，以确定每周流感病例数与天气因素之间的关系。零膨胀泊松和广义线性泊松模型分别用于甲型和B型流感病毒的分析。甲型流感与最低温度、相对湿度（RH）、日照时间和降雨量相关，而只有RH与乙型流感B相关。虽然其他天气因素的关联在两个亚型之间有所不同，但当湿度约为50- 70%时，RH具有类似的正关联。我们的阳性RH关联的发现与先前的研究一致，并且可能提示热带地区的病毒应答。定居区的特点、人口统计学和城市贫困人口的典型过度拥挤也可能导致较高经济人口的降雨产生不同的影响。为了更好地了解热带流感与城市低收入人群天气变化之间的关系，需要进一步调查。
Influenza seasonality in the tropics is poorly understood and not as well documented as in temperate regions. In addition, low-income populations are considered highly vulnerable to such acute respiratory disease, owing to limited resources and overcrowding. Nonetheless, little is known about their actual disease burden for lack of data. We therefore investigated associations between tropical influenza incidence and weather variability among children under five in a poor urban area of Dhaka, Bangladesh. Acute respiratory illness data were obtained from a population-based respiratory and febrile illness surveillance dataset of Kamalapur, a low-income urban area in southeast Dhaka. Analyzed data were from January 2005 through December 2008. Nasopharyngeal wash specimens were collected from every fifth eligible surveillance participant during clinic visits to identify influenza virus infection with viral culture and reverse transcriptase–polymerase chain reaction. Time series analysis was conducted to determine associations between the number of influenza cases per week and weather factors. Zero-inflated Poisson and generalized linear Poisson models were used in the analysis for influenza A and B, respectively. Influenza A had associations with minimum temperature, relative humidity (RH), sunlight duration, and rainfall, whereas only RH was associated with influenza B. Although associations of the other weather factors varied between the two subtypes, RH shared a similar positive association when humidity was approximately 50–70%. Our findings of a positive RH association is consistent with prior studies, and may suggest the viral response in the tropics. The characteristics of settlement areas, population demographics, and typical overcrowding of urban poverty may also contribute to different impacts of rainfall from higher economic population. Further investigations of associations between tropical influenza and weather variability for urban low-income populations are required for better understanding.