Annelies Wilder-Smith

Research

Air Travel Artificial Intelligence Coronavirus Covid-2019 Disease Forecasting Human Mobility Machine Learning Mobile Phone

Latest papers

Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks.
Infectious Disease Modelling · 2017
Travel-Associated Zika Virus Disease Acquired in the Americas Through February 2016: A GeoSentinel Analysis.
Annals of internal medicine · 2017
Latitudinal patterns of travel among returned travelers with influenza: results from the GeoSentinel Surveillance Network, 1997-2007.
Journal of travel medicine · 2012

All 4 publications

Latest funding

Harnessing human mobility and surveillance data for disease forecasting to drive evidence-based public health policy during the COVID-19 epidemic
CIHR · 2020 · Principal investigator
$278,020

All 1 grants and awards

4 publications.

01

Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks.

Massad E, Amaku M, Coutinho FAB, Struchiner CJ, Lopez LF, Wilder-Smith A, Burattini MN

Infectious Disease Modelling2017

DOI: 10.1016/j.idm.2017.12.001 PMID: 30137722

02

Travel-Associated Zika Virus Disease Acquired in the Americas Through February 2016: A GeoSentinel Analysis.

Hamer DH, Barbre KA, Chen LH, Grobusch MP, Schlagenhauf P, Goorhuis A, van Genderen PJ, Molina I, Asgeirsson H, Kozarsky PE, Caumes E, Hagmann SH, Mockenhaupt FP, Eperon G, Barnett ED, Bottieau E, Boggild AK, Gautret P, Hynes NA, Kuhn S, Lash RR, Leder K, Libman M, Malvy DJ, Perret C, Rothe C, Schwartz E, Wilder-Smith A, Cetron MS, Esposito DH, GeoSentinel Surveillance Network

Annals of internal medicine2017

DOI: 10.7326/m16-1842 PMID: 27893080

03

Latitudinal patterns of travel among returned travelers with influenza: results from the GeoSentinel Surveillance Network, 1997-2007.

Boggild AK, Castelli F, Gautret P, Torresi J, von Sonnenburg F, Barnett ED, Greenaway CA, Lim PL, Schwartz E, Wilder-Smith A, Wilson ME, GeoSentinel Surveillance Network

Journal of travel medicine2012

DOI: 10.1111/j.1708-8305.2011.00579.x PMID: 22221805

04

Vaccine preventable diseases in returned international travelers: results from the GeoSentinel Surveillance Network.

Boggild AK, Castelli F, Gautret P, Torresi J, von Sonnenburg F, Barnett ED, Greenaway CA, Lim PL, Schwartz E, Wilder-Smith A, Wilson ME, GeoSentinel Surveillance Network

Vaccine2010

DOI: 10.1016/j.vaccine.2010.09.009 PMID: 20851081

Harnessing human mobility and surveillance data for disease forecasting to drive evidence-based public health policy during the COVID-19 epidemic

Principal investigatorCIHR2020Operating Grant: COVID-19 - Transmission dynamics/animal host/modeling

Principal investigators: Bogoch, Isaac; Wilder-Smith, Annelies

Keywords: Air Travel; Artificial Intelligence; Coronavirus; Covid-2019; Disease Forecasting; Human Mobility; Machine Learning; Mobile Phone; Public Response

$278,020

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Paper to mentionMention their CIHR grant from 2020

Subject: Prospective PhD student: Air Travel Dear Professor Wilder-Smith, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Estimating the size of Aedes aegypti populations from dengue incidence data: Implications for the risk of yellow fever outbreaks." (2017), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Harnessing human mobility and surveillance data for disease forecasting to drive evidence-based public health policy during the COVID-19 epidemic" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]