Collections of Recent Literature (that I am interested in...) 

  • (20180904) Ertem, Zeynep, Dorrie Raymond, and Lauren Ancel Meyers. "Optimal multi-source forecasting of seasonal influenza." PLoS computational biology 14.9 (2018): e1006236. [bibtex][link]
  • ​(20180824) Reich, Nicholas G., et al. "Forecasting seasonal influenza in the US: A collaborative multi-year, multi-model assessment of forecast performance." bioRxiv (2018): 397190. [bibtex][link]
  • (20180817) Doms, Colin, Sarah C. Kramer, and Jeffrey Shaman. "Assessing the Use of Influenza Forecasts and Epidemiological Modeling in Public Health Decision Making in the United States." Scientific reports 8.1 (2018): 12406. [bibtex][link]
  • (20180809) Baltrusaitis, Kristin, et al. "Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America." BMC infectious diseases 18.1 (2018): 403. [bibtex][link]
  • ​(20180725) Kandula, Sasikiran, et al. "Evaluation of mechanistic and statistical methods in forecasting influenza-like illness." Journal of The Royal Society Interface 15.144 (2018): 20180174. [bibtex][link]
  • (20180720) Morita, Haruka, et al. "Influenza forecast optimization when using different surveillance data types and geographic scale." Influenza and other respiratory viruses (2018). [bibtex][link]
  • (20180625) Liang, Feng, et al. "Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015." PeerJ 6 (2018): e5134. [bibtex][link]
  • (20180615) Brooks, Logan C., et al. "Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions." PLoS computational biology 14.6 (2018): e1006134. [bibtex][link]
  • (20180614) Lu, Fred, et al. "Improved state-level influenza activity nowcasting in the United States leveraging Internet-based data sources and network approaches via ARGONet." bioRxiv(2018): 344580. [bibtex][link]
  • ​to be continued....