We are WeHealth
The WeHealth platform helps public health departments, universities and senior living communities reduce the threat and burden of infectious diseases. WeHealth notifies individuals of their risk of getting infected, empowering them to receive early testing and effective treatment, while also helping protect other members of the community. WeHealth focuses deeply on science, privacy and human-centered design to build high trust and maximize impact.
Our Passionate Team
Join our team
The team at WeHealth has come together from a multitude of backgrounds and experiences with a shared belief that we can make a positive impact on public health issues. If you are driven by desire to work for change, we invite you to apply.
Publications

The timing of COVID-19 transmission.
Ferretti, L, Ledda, A, Wymant, C, Zhao, L, Ledda, V, Abeler-Dörner, L, Kendall, M, Nurtay, A, Cheng, H-Y, Ng, T-C, Lin, H-H, Hinch, R, Masel, J, Kilpatrick, AM, and Fraser, C. 2020. medRxiv:2020.09.04.20188516.

Modelling the effectiveness and social costs of daily lateral flow antigen tests versus quarantine in preventing onward transmission of COVID-19 from traced contacts.
Ferretti, L, Wymant, C, Nurtay, A, Zhao, L, Hinch, R, Bonsall, D, Kendall, M, Masel, J, Bell, J, Hopkins, S, Kilpatrick, AM, Peto, T, Abeler-Dörner, L, and Fraser, C. 2021. medRxiv:2021.08.06.21261725.

Quantifying meaningful adoption of a SARS-CoV-2 exposure notification app on the campus of the University of Arizona.
Masel, J, Shilen, AN, Helming, BH, Rutschman, JD, Windham, GD, Pogreba Brown, K, and Ernst, K. 2021. medRxiv:2021.02.02.21251022.

The economic value of quarantine is higher at lower case prevalence, with quarantine justified at lower risk of infection.
Petrie, J, and Masel, J. 2021. Journal of The Royal Society Interface 18:20210459.

Slowing the Spread of Infectious Diseases Using Crowdsourced Data.
von Arx, S, Becker-Mayer, I, Blank, D, Colligan, J, Fenwick, R, Hittle, M, Ingle, M, Nash, O, Nguyen, V, Petrie, J, Schwaber, J, Szabo, Z, Veeraghanta, A, Voloshin, M, White, T, and Xue, H. 2020. IEEE Data Eng Bull 43:71-82.

Quantifying SARS-CoV-2 infection risk within the Google/Apple exposure notification framework to inform quarantine recommendations.
Wilson, AM, Aviles, N, Petrie, JI, Beamer, PI, Szabo, Z, Xie, M, McIllece, J, Chen, Y, Son, Y-J, Halai, S, White, T, Ernst, KC, and Masel, J. 2021. Risk Analysis published online ahead of print.