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Effects of the El Niño Southern Oscillation on Influenza Peak Activity Timing
Author(s) -
Byung Chul Chun,
Kwan Hong,
Hari Hwang,
Sangho Sohn
Publication year - 2019
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v11i1.9834
Subject(s) - temperate climate , geography , demography , climatology , seasonal influenza , medicine , covid-19 , biology , sociology , geology , botany , disease , infectious disease (medical specialty)
Objective This study aimed to explore the effects of El Nino and La Nina events on the timing of influenza A peak activity in European countries. Introduction Influenza causes a significant burden to the world every year. In the temperate zone, influenza usually prevalent in the winter season, however, it is hardly predictable when the influenza epidemic will begin and when the peak activity will come. Influenza has a peak in early winter sometimes and a peak in late winter in another year. However, it is not well known what determines these epidemics timing, and the global climate change is expected to influence the timing of influenza epidemics. Methods The weekly influenza surveillance data of 5 European countries (UK, Norway, Germany, Greece, and Italy) from January 2005 to July 2018 were retrieved from WHO FluNET database. UK and Norway are considered the northern part of Europe, otherwise Germany, Greece, and Italy are considered western southern part. The El Nino southern oscillation (ENSO) were retrieved from Korean Meteorological Administration. We used the definition of El Nino as the positive sea surface temperature anomalies (≥0.5 degree in Celcius), while La Nina events are negative anomalies (≤-0.5 degree) of 3 months moving average. The weeks with the highest activities of influenza A and B in each season were identified and coded as 1, 2, 3 if the peak appeared the 1st 2nd and 3rd week from the beginning of the year respectively. The influenza data of 2008/2009 and 2009/2010 were excluded from the analysis to eliminate the bias due to a pandemic influenza outbreak. We compared the means of these peak weeks according to the presence of the anomalies using the general linear model with Scheffe multiple comparison and Wilcoxon signed rank sum test. Results From January 2005 to July 2018, there were 3 El Nino and 5 La Nina events by the ENSO excluding 2009 El Nino. The influenza A peak activity was observed at 9 th week (mean±SD, 8.7±4.8) from the beginning of the year in no anomaly event, but the peak appearance timing was significantly shortened to 6 th week (6.2±2.7) and 5 th week (5.1±3.9) when El Nino and La Nina events occurred, respectively (both p<0.05). Influenza A made the peak at usually 10 th week (9.9±5.0) in northern 2 countries in no anomalies, but at 6 th (6.4±3.9) week in any events of an anomaly in the surface sea temperature (p=0.072). In the southern 3 countries, influenza peaks were observed at 8 th (7.9±4.8 ) week in usual without anomalies, but at 5 th (5.0±3.3) week in El Nino or La Nina events (p=0.049). Conclusions Both El Nino and La Nina affect the timing of influenza A peak activity; the ENSO associated the early emergency of peak influenza activities in European countries. References Fisman DN, et al. Impact of El Nino Southern Oscillation on infectious disease hospitalization risk in the United States. Proc Natl Acad Sci U S A. 2016; 113(51):14589-14594. Oluwole OSA. Seasonal Influenza Epidemics and El Ninos. Front. Public Health 3:250. Zaraket H, et al. Association of early annual peak influenza activity with El Nino southern oscillation in Japan. Influenza and Other Respiratory Viruses 2008; 2(4): 127–130.

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