scholarly journals Fluctuations in influenza-like illness epidemics and suicide mortality: A time-series regression of 13-year mortality data in South Korea

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0244596
Author(s):  
Sun Jae Jung ◽  
Sung-Shil Lim ◽  
Jin-Ha Yoon

Aims We explored the association between influenza epidemic and suicide mortality rates in a large population using a time-series regression of 13-year mortality data in South Korea. Methods Weekly suicide mortalities and influenza-like illness (ILI) were analyzed using time series regression. Regression coefficient for suicide mortality based on percentage change of ILI was calculated using a quasi-Poisson regression. Non-linear distributed lag models with quadratic function up to 24 weeks were constructed. Results The association between ILI and suicide mortality increased significantly up to 8 weeks post-influenza diagnosis. A significant positive association between ILI and suicide mortality was observed from 2009, when a novel influenza A(H1N1)pdm09 virus provoked a worldwide pandemic. No meaningful association between these factors was observed before 2009. Conclusion There was a significant positive relationship between ILI and suicide mortality after 2009, when a novel influenza A(H1N1)pdm09 virus provoked a worldwide pandemic.

2011 ◽  
Vol 140 (5) ◽  
pp. 798-802 ◽  
Author(s):  
M. C. SPAEDER ◽  
J. R. STROUD ◽  
X. SONG

SUMMARYThe spring of 2009 witnessed the emergence of a novel influenza A(H1N1) virus resulting in the first influenza pandemic since 1968. In autumn of 2010, the 2009 novel H1N1 influenza strain re-emerged. We performed a retrospective time-series analysis of all patients with laboratory-confirmed H1N1 influenza who presented to our institution during 2009. Cases of influenza were assembled into 3-day aggregates and forecasting models of H1N1 influenza incidence were created. Forecasting estimates of H1N1 incidence for the 2010–2011 season were compared to actual values for our institution to assess model performance. Ninety-five percent confidence intervals calculated around our model's forecasts were accurate to ±3·6 cases per 3-day period for our institution. Our results suggest that time-series models may be useful tools in forecasting the incidence of H1N1 influenza, helping institutions to optimize distribution of resources based on the changing burden of illness.


PLoS ONE ◽  
2010 ◽  
Vol 5 (7) ◽  
pp. e11719 ◽  
Author(s):  
Victor Alberto Laguna-Torres ◽  
Jorge Gómez ◽  
Patricia V. Aguilar ◽  
Julia S. Ampuero ◽  
Cesar Munayco ◽  
...  

2011 ◽  
Vol 17 (4) ◽  
pp. CR185-CR188 ◽  
Author(s):  
Evangelos Voudoukis ◽  
Apostolos Pappas ◽  
Athanasios Panoutsopoulos ◽  
Konstantinos Xynos ◽  
Fotini Rozi ◽  
...  

2010 ◽  
Vol 52 (Supplement 1) ◽  
pp. S94-S101 ◽  
Author(s):  
K. B. Janusz ◽  
J. E. Cortes ◽  
F. Serdarevic ◽  
R. C. Jones ◽  
J. D. Jones ◽  
...  

2012 ◽  
Vol 141 (5) ◽  
pp. 1070-1079 ◽  
Author(s):  
S. B. HONG ◽  
E. Y. CHOI ◽  
S. H. KIM ◽  
G. Y. SUH ◽  
M. S. PARK ◽  
...  

SUMMARYA total of 245 patients with confirmed 2009 H1N1 influenza were admitted to the intensive-care units of 28 hospitals (South Korea). Their mean age was 55·3 years with 68·6% aged >50 years, and 54·7% male. Nine were obese and three were pregnant. One or more comorbidities were present in 83·7%, and nosocomial acquisition occurred in 14·3%. In total, 107 (43·7%) patients received corticosteroids and 66·1% required mechanical ventilation. Eighty (32·7%) patients died within 30 days after onset of symptoms and 99 (40·4%) within 90 days. Multivariate logistic regression analysis showed that the clinician's decision to prescribe corticosteroids, older age, Sequential Organ Failure Assessment score and nosocomial bacterial pneumonia were independent risk factors for 90-day mortality. In contrast with Western countries, critical illness in Korea in relation to 2009 H1N1 was most common in older patients with chronic comorbidities; nosocomial acquisition occurred occasionally but disease in obese or pregnant patients was uncommon.


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