Cécile Viboud

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Cécile Viboud
Alma materPierre and Marie Curie University
University of Lyon
Scientific career
InstitutionsNational Institutes of Health
ThesisPrédictions épidémiologiques de la grippe en zones tempérées (2003)

Cécile Viboud is a Staff Scientist based in the Fogarty International Center at the

infectious disease. Viboud was involved with epidemiological analysis during the COVID-19 pandemic
.

Early life and education

Viboud is from

influenza epidemics through the use of a method of analogues.[2] The method of analogues is a model borrowed from meteorology, using vectors from historical influenza epidemics that matches current activity.[2][3]

Research and career

Viboud is a member of the Fogarty International Center at the

infectious diseases.[4]

She has extensively investigated the epidemiology of influenza. In 2016, Viboud demonstrated that a person's first case of influenza influenced their later likelihood to become infected.[5][6] For example, if people were exposed to a particular strain of influenza as a child, they would be to 75% less likely to contract it in the future.[6] Viboud has also studied how urbanisation impacts the intensity of influenza epidemics.[7] She showed that more diffuse epidemics occur in large cities, which were less sensitive to changes in climate.[8] In these cities people live so close together that the virus can spread easily from person to person.[7] In an effort to better predict influenza-like illness activity, Viboud has examined whether they can be forecast using heart rate information from activity trackers.[9]

During the COVID-19 pandemic, Viboud was part of international efforts to collect, curate and disseminate epidemiological information about SARS-CoV-2.[10][11] As part of this effort, she monitored the time between onset of symptoms and visiting a medical facility. She found that people in the Hubei province who experienced SARS-CoV-2 symptoms waited longer before seeking help than in other parts of China, or even those overseas.[10] The delay between symptom onset and visiting a clinic was found to decrease throughout January, which Viboud associated with and increase in news reports and content sharing on social media. She believed that a crowd-sourced, collaborative, physician-oriented social network helped to compile early SARS-CoV-2 data, as well as helping to track the progression of the outbreak.[10] These efforts helped to disseminate up-to-date and correct information when limited data was available.[10] She has also investigated why there are so few cases of COVID-19 in younger populations.[12]

Throughout February and March 2020 Viboud continued to monitor the evolving epidemic, looking to describe the epidemiology and transmission dynamics of SARS-CoV-2 as it spread beyond Hubei province.

community transmission.[13]

Viboud evaluated the impact of travel restrictions on the spread of SARS-CoV-2, starting from the travel restrictions out of Wuhan from January 23.

Center for Disease Dynamics, Economics & Policy.[21]

Selected publications

References

Scholia has an author profile for Cécile Viboud.
  1. ^ "Cecile Viboud". The Conversation. 20 February 2018. Retrieved 2020-04-09.
  2. ^
    PMID 14607808
    .
  3. ^ Viboud, Cecile; Chowell, Gerardo; Simonsen, Lone (5 March 2018). "How historical disease detectives are solving mysteries of the 1918 flu". The Conversation. Retrieved 2020-04-09.
  4. ^ "Cécile Viboud – MISMS". misms.net. Archived from the original on 2020-04-02. Retrieved 2020-04-09.
  5. S2CID 3050246
    .
  6. ^ a b Howard, Jacqueline (10 November 2016). "Your flu risk may be linked to when you were born". CNN. Retrieved 2020-04-09.
  7. ^ a b Letzter, Rafi (5 October 2018). "Why Flu Epidemics Work Differently in Big American Cities". livescience.com. Retrieved 2020-04-09.
  8. PMID 30287659
    .
  9. PMID 33334559
    .
  10. ^
    PMID 32309796
    .
  11. ^ "Le coronavirus Covid-19 se propagera-t-il plus que la grippe ?". Sciences et Avenir (in French). 28 February 2020. Retrieved 2020-04-09.
  12. ^ "Coronavirus: Who is most at risk?". www.thelocal.com. March 2020. Retrieved 2020-04-09.
  13. ^
    PMID 32247326
    .
  14. PMID 32046819
    .
  15. ^ "New Analysis Suggests Months Of Social Distancing May Be Needed To Stop Virus". NPR.org. Retrieved 2020-04-09.
  16. ^ "Cecile Viboud". midasnetwork.us. Retrieved 2020-04-09.
  17. PMID 32144116
    .
  18. ^ Brown, Emma. "Coronavirus death toll: Americans are almost certainly dying of covid-19 but being left out of the official count". Washington Post. Retrieved 2020-04-09.
  19. ^ Henriques, Martha. "Coronavirus: Why death and mortality rates differ". www.bbc.com. Retrieved 2020-04-09.
  20. ^ Greenfieldboyce, Nell (4 March 2020). "How Computer Modeling Of COVID-19's Spread Could Help Fight The Virus". www.kcur.org. Retrieved 2020-04-09.
  21. ^ "Cecile Viboud". Center for Disease Dynamics, Economics & Policy (CDDEP). Archived from the original on 2020-05-25. Retrieved 2020-04-09.
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