Conjunction of factors triggering waves of seasonal influenza

@article{Chattopadhyay2017ConjunctionOF,
  title={Conjunction of factors triggering waves of seasonal influenza},
  author={Ishanu Chattopadhyay and Emre Kıcıman and Joshua Elliott and Jeffrey L. Shaman and A. Rzhetsky},
  journal={eLife},
  year={2017},
  volume={7}
}
Understanding the subtle confluence of factors triggering pan-continental, seasonal epidemics of influenza-like illness is an extremely important problem, with the potential to save tens of thousands of lives and billions of dollars every year in the US alone. Beginning with several large, longitudinal datasets on putative factors and clinical data on the disease and health status of over 150 million human subjects observed over a decade, we investigated the source and the mechanistic triggers… 
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References

SHOWING 1-10 OF 125 REFERENCES
Spatial Transmission of 2009 Pandemic Influenza in the US
TLDR
The protracted spread of pandemic influenza in fall 2009 in the US was dominated by short-distance spatial spread partially catalysed by school openings rather than long-distance transmission events, in contrast to the rapid hierarchical transmission patterns previously described for seasonal influenza.
Human mobility and the spatial transmission of influenza in the United States
TLDR
Gravity model estimates indicate a sharp decay in influenza transmission with the distance between infectious and susceptible cities, consistent with spread dominated by work commutes rather than air traffic.
The influence of climatic conditions on the transmission dynamics of the 2009 A/H1N1 influenza pandemic in Chile
TLDR
There was a lag in the period of most intense 2009 pandemic influenza activity following a South to North traveling pattern across regions of Chile, significantly associated with geographical differences in minimum temperature and specific humidity.
Large-Scale Spatial-Transmission Models of Infectious Disease
TLDR
This review highlights the importance of the household in spatial studies of human diseases and demonstrates the need to develop a simple model of household demographics, so that these large-scale models can be extended to the investigation of long–time scale human pathogens, such as tuberculosis and HIV.
Driving factors of influenza transmission in the Netherlands.
TLDR
A long time series of the number of weekly visits to general practitioners for influenzalike illness in the Netherlands from 1970-2011 was used and transformed into a timeseries of weekly influenza reproduction numbers, which are a measure of transmission intensity.
Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza
TLDR
Influenza-related mortality data is used to analyze the between-state progression of interpandemic influenza in the United States over the past 30 years and a simple epidemiological model captures the observed increase of influenza spatial synchrony with transmissibility.
Spatial dynamics of the 1918 influenza pandemic in England, Wales and the United States
TLDR
To better characterize the spread of the 1918 major wave, a range of city-to-city transmission models are fitted to mortality data collected for 246 population centres in England and Wales and 47 cities in the US and it is found that parameters estimated from theEngland and Wales dataset can be applied to the US data with no likelihood penalty.
Multiscale mobility networks and the spatial spreading of infectious diseases
TLDR
The present approach outlines the possibility for the definition of layered computational approaches where different modeling assumptions and granularities can be used consistently in a unifying multiscale framework.
The role of the airline transportation network in the prediction and predictability of global epidemics
TLDR
A stochastic computational framework for the forecast of global epidemics that considers the complete worldwide air travel infrastructure complemented with census population data and defines a set of quantitative measures able to characterize the level of heterogeneity and predictability of the epidemic pattern.
Global circulation patterns of seasonal influenza viruses vary with antigenic drift
TLDR
Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.
...
...