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Predicting Dengue Incidence Leveraging Internet-Based Data Sources: A Case Study in 20 cities in Brazil.

Author(s): Gal Koplewitz, Fred S Lu, Cesar Leonardo Clemente, Caroline Buckee, Mauricio Santillana|Journal: medRxiv| October 2020
The dengue virus affects millions of people every year worldwide, causing large epidemic outbreaks that disrupt people's lives and severely…

Center for Communicable Disease Dynamics on Twitter

  • @YGakh @RWMaloneMD @braunmattbraun https://t.co/kZYwAuQbAG
  • RT @CT_Bergstrom: 23. There's a big literature on the seasonality of respiratory disease, and consensus is that we have little grounds for…
  • RT @AldoAldoni1: 16. Covid-19 Breakthrough Infections in Vaccinated Health Care Workers | @mlipsitch et al. | @NEJM @CCDD_HSPH #EpiTwitter…
  • 16. Covid-19 Breakthrough Infections in Vaccinated Health Care Workers | @mlipsitch et al. | @NEJM @CCDD_HSPH… https://t.co/nffW568HKT
  • RT @crisisreadiness: Clear data translation is key. Dr. Jennifer Chan @JenniferChan7 will be leading a new research project on “Improving t…
  • RT @PolarBearby: 5/ Para entender el efecto de la eficacia para lograr la inmunidad, podemos usar la fórmula: V*E = 1 – 1/R0, donde E es la…
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