Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Stefano Merler and Alessandro Vespignani.
Connection Strength

1.238
  1. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science. 2020 04 24; 368(6489):395-400.
    View in: PubMed
    Score: 0.218
  2. Measurability of the epidemic reproduction number in data-driven contact networks. Proc Natl Acad Sci U S A. 2018 12 11; 115(50):12680-12685.
    View in: PubMed
    Score: 0.199
  3. Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015-2016 ZIKV epidemic. BMC Med. 2018 10 18; 16(1):195.
    View in: PubMed
    Score: 0.198
  4. Spread of Zika virus in the Americas. Proc Natl Acad Sci U S A. 2017 05 30; 114(22):E4334-E4343.
    View in: PubMed
    Score: 0.178
  5. Perspectives on model forecasts of the 2014-2015 Ebola epidemic in West Africa: lessons and the way forward. BMC Med. 2017 03 01; 15(1):42.
    View in: PubMed
    Score: 0.177
  6. The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. PLoS Comput Biol. 2020 12; 16(12):e1008467.
    View in: PubMed
    Score: 0.058
  7. Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19. Nat Hum Behav. 2020 09; 4(9):964-971.
    View in: PubMed
    Score: 0.056
  8. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science. 2020 06 26; 368(6498):1481-1486.
    View in: PubMed
    Score: 0.055
  9. Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. Lancet Infect Dis. 2020 07; 20(7):793-802.
    View in: PubMed
    Score: 0.055
  10. The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt. Epidemics. 2018 03; 22:13-21.
    View in: PubMed
    Score: 0.046
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.