Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study

Alexandra B. Hogan, Britta L. Jewell, Ellie Sherrard-Smith, Juan F. Vesga, Oliver J. Watson, Charles Whittaker, Arran Hamlet, Jennifer A. Smith, Peter Winskill, Robert Verity, Marc Baguelin, John A. Lees, Lilith K. Whittles, Kylie E. C. Ainslie, Samir Bhatt, Adhiratha Boonyasiri, Nicholas F. Brazeau, Lorenzo Cattarino, Laura V. Cooper, Helen Coupland, Gina Cuomo-Dannenburg, Amy Dighe, Bimandra A. Djaafara, Christl A. Donnelly, Jeff W. Eaton, Sabine L. van Elsland, Richard G. FitzJohn, Han Fu, Katy A. M. Gaythorpe, William Green, David J. Haw, Sarah Hayes, Wes Hinsley, Natsuko Imai, Daniel J. Laydon, Tara D. Mangal, Thomas A. Mellan, Swapnil Mishra, Gemma Nedjati-Gilani, Kris V. Parag, Hayley A. Thompson, H. Juliette T. Unwin, Michaela A. C. Vollmer, Caroline E. Walters, Haowei Wang, Yuanrong Wang, Xiaoyue Xi, Neil M. Ferguson, Lucy C. Okell, Thomas S. Churcher, Nimalan Arinaminpathy, Azra C. Ghani, Patrick G. T. Walker, Timothy B. Hallett
September 2020
Cite DOI
Type
Journal article
Publication
Lancet Global Health
Charles Whittaker
Charles Whittaker
Sir Henry Wellcome Postdoctoral Fellow

My work involves modelling infectious disease transmission dynamics.

Samir Bhatt
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health

I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.

Helen Coupland
Helen Coupland
PhD Student

Uses machine learning approaches to examine the dynamics of exposure events that give rise to health outcomes.

Swapnil Mishra
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health

I primarily work at intersection of public health, machine learning and Bayesian modelling.