Conceptual overview of a joint inference mapping approach showing example occurrence, incidence and seroprevalence data for Brazil (top row), the kinds of risk maps that can be generated from each of these data sets independently using current generation methods (middle row) and the time-varying more accurate maps that could be generated from a joint-inference modelling approach (bottom row, uses a simple equal weight ensemble for illustration purposes only).
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posted on 2025-04-04, 20:20 authored by Oliver J. Brady, Leonardo S. Bastos, Jamie M. Caldwell, Simon Cauchemez, Hannah E. Clapham, Illaria Dorigatti, Katy A. M. Gaythorpe, Wenbiao Hu, Laith Hussain-Alkhateeb, Michael A. Johansson, Ahyoung Lim, Velma K. Lopez, Richard James Maude, Jane P. Messina, Erin A. Mordecai, Andrew Townsend Peterson, Isabel Rodriquez-Barraquer, Ingrid B. Rabe, Diana P. Rojas, Sadie J. Ryan, Henrik Salje, Jan C. Semenza, Quan Minh Tran<p>Conceptual overview of a joint inference mapping approach showing example occurrence, incidence and seroprevalence data for Brazil (top row), the kinds of risk maps that can be generated from each of these data sets independently using current generation methods (middle row) and the time-varying more accurate maps that could be generated from a joint-inference modelling approach (bottom row, uses a simple equal weight ensemble for illustration purposes only).</p>
