Department of Environmental Health Sciences, Columbia University, New York, NY, USA.
Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University, New York, NY, USA.
Influenza Other Respir Viruses. 2018 Jul;12(4):446-456. doi: 10.1111/irv.12556. Epub 2018 Apr 17.
The association of influenza with meteorological variables in tropical climates remains controversial. Here, we investigate the impact of weather conditions on influenza in the tropics and factors that may contribute to this uncertainty.
We computed the monthly viral positive rate for each of the 3 circulating influenza (sub)types (ie, A/H1N1, A/H3N2, and B) among patients presenting with influenza-like illness (ILI) or severe acute respiratory infections (SARI) in 2 Ugandan cities (Entebbe and Kampala). Using this measure as a proxy for influenza activity, we applied regression models to examine the impact of temperature, relative humidity, absolute humidity, and precipitation, as well as interactions among the 3 influenza viruses on the epidemic dynamics of each influenza (sub)type. A full analysis including all 4 weather variables was done for Entebbe during 2007-2015, and a partial analysis including only temperature and precipitation was done for both cities during 2008-2014.
For Entebbe, the associations with weather variables differed by influenza (sub)type; with adjustment for viral interactions, the models showed that precipitation and temperature were negatively correlated with A/H1N1 activity, but not for A/H3N2 or B. A mutually negative association between A/H3N2 and B activity was identified in both Entebbe and Kampala.
Our findings suggest that key interactions exist among influenza (sub)types at the population level in the tropics and that such interactions can modify the association of influenza activity with weather variables. Studies of the relationship between influenza and weather conditions should therefore determine and account for co-circulating influenza (sub)types.
流感与热带气候气象变量之间的关联仍存在争议。在此,我们研究了天气条件对热带地区流感的影响,以及可能导致这种不确定性的因素。
我们计算了乌干达两个城市(恩德培和坎帕拉)中流感样疾病(ILI)或严重急性呼吸道感染(SARI)患者中三种流行的(亚)流感病毒(即 A/H1N1、A/H3N2 和 B)的每月病毒阳性率。我们将此指标作为流感活动的替代指标,应用回归模型来检查温度、相对湿度、绝对湿度和降水,以及三种流感病毒之间的相互作用对每种流感(亚)型流行动力学的影响。在 2007 年至 2015 年期间,我们对恩德培进行了全面分析,包括所有四个气象变量;在 2008 年至 2014 年期间,我们对两个城市进行了部分分析,仅包括温度和降水。
对于恩德培,与气象变量的关联因流感(亚)型而异;在调整病毒相互作用后,模型表明降水和温度与 A/H1N1 活动呈负相关,但与 A/H3N2 或 B 无关。在恩德培和坎帕拉均发现 A/H3N2 和 B 活动之间存在相互负相关。
我们的研究结果表明,在热带地区,流感(亚)型之间存在关键的相互作用,并且这种相互作用可以改变流感活动与气象变量之间的关联。因此,流感与天气条件之间关系的研究应确定并考虑共同流行的流感(亚)型。