scholarly journals Deviations in influenza seasonality: odd coincidence or obscure consequence?

2012 ◽  
Vol 18 (10) ◽  
pp. 955-962 ◽  
Author(s):  
M. Moorthy ◽  
D. Castronovo ◽  
A. Abraham ◽  
S. Bhattacharyya ◽  
S. Gradus ◽  
...  
2009 ◽  
Vol 106 (10) ◽  
pp. 3645-3646 ◽  
Author(s):  
M. Lipsitch ◽  
C. Viboud

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8626 ◽  
Author(s):  
Wei Su ◽  
Ti Liu ◽  
Xingyi Geng ◽  
Guoliang Yang

Background Influenza is a disease under surveillance worldwide with different seasonal patterns in temperate and tropical regions. Previous studies have conducted modeling of influenza seasonality using climate variables. This study aimed to identify potential meteorological factors that are associated with influenza seasonality in Jinan, China. Methods Data from three influenza sentinel hospitals and respective climate factors (average temperature, relatively humidity (RH), absolute humidity (AH), sunshine duration, accumulated rainfall and speed of wind), from 2013 to 2016, were collected. Statistical and wavelet analyses were used to explore the epidemiological characteristics of influenza virus and its potential association with climate factors. Results The dynamic of influenza was characterized by annual cycle, with remarkable winter epidemic peaks from December to February. Spearman’s correlation and wavelet coherence analysis illuminated that temperature, AH and atmospheric pressure were main influencing factors. Multiple wavelet coherence analysis showed that temperature and atmospheric pressure might be the main influencing factors of influenza virus A(H3N2) and influenza virus B, whereas temperature and AH might best shape the seasonality of influenza virus A(H1N1)pdm09. During the epidemic season, the prevalence of influenza virus lagged behind the change of temperature by 1–8 weeks and atmospheric pressure by 0.5–3 weeks for different influenza viruses. Conclusion Climate factors were significantly associated with influenza seasonality in Jinan during the influenza epidemic season and the optional time for influenza vaccination is before November. These finding should be considered in influenza planning of control and prevention.


Author(s):  
Sheikh Taslim Ali ◽  
Benjamin J. Cowling ◽  
Jessica Y. Wong ◽  
Dongxuan Chen ◽  
Songwei Shan ◽  
...  

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Albrecht Pfäfflin

Abstract Virus biomass outweighs human biomass, and insects biomass outweighs human biomass. Insects are regularly habited by viruses as well as humans, humans are further inhabited via insects. A model of viral flow is described and specified to explain influenza virus seasonality, which, in temperate climate, usually evolves when insects have mostly disappeared. With this hypothesis a coherent description of regular seasonal influenza and other seasonal respiratory virus infections in temperate climates is possible. The incidence of influenza under different circumstances e.g. temperature, humidity, or tropical conditions and different aspects like synchronicity of infections or in respect to evolutionary conditions do sustain this hypothesis if the behaviour of insects is considered.


2014 ◽  
Vol 92 (5) ◽  
pp. 318-330 ◽  
Author(s):  
Siddhartha Saha ◽  
Mandeep Chadha ◽  
Abdullah Al Mamun ◽  
Mahmudur Rahman ◽  
Katharine Sturm-Ramirez ◽  
...  

2016 ◽  
Vol 8 (4) ◽  
pp. 343-367 ◽  
Author(s):  
Julian Wei-Tze Tang ◽  
Tze Ping Loh

2014 ◽  
Vol 20 (10) ◽  
pp. 1746-1749 ◽  
Author(s):  
Parvaiz A. Koul ◽  
Shobha Broor ◽  
Siddhartha Saha ◽  
John Barnes ◽  
Catherine Smith ◽  
...  

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