Epidemic dynamics of respiratory syncytial virus in current and future climates.
Clicks: 359
ID: 69683
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
359 views
51 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #60 of 485 articles by views in Nature communications
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 485 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A key question for infectious disease dynamics is the impact of the climate on future burden. Here, we evaluate the climate drivers of respiratory syncytial virus (RSV), an important determinant of disease in young children. We combine a dataset of county-level observations from the US with state-level observations from Mexico, spanning much of the global range of climatological conditions. Using a combination of nonlinear epidemic models with statistical techniques, we find consistent patterns of climate drivers at a continental scale explaining latitudinal differences in the dynamics and timing of local epidemics. Strikingly, estimated effects of precipitation and humidity on transmission mirror prior results for influenza. We couple our model with projections for future climate, to show that temperature-driven increases to humidity may lead to a northward shift in the dynamic patterns observed and that the likelihood of severe outbreaks of RSV hinges on projections for extreme rainfall.
| Reference Key |
baker2019epidemicnature
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Baker, Rachel E;Mahmud, Ayesha S;Wagner, Caroline E;Yang, Wenchang;Pitzer, Virginia E;Viboud, Cecile;Vecchi, Gabriel A;Metcalf, C Jessica E;Grenfell, Bryan T; |
| Journal | Nature communications |
| Year | 2019 |
| DOI |
10.1038/s41467-019-13562-y
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.