Cathal Mills

Abstract Human mobility, climate change and demographic trends increase the risk of pathogen spillover and expansion. Data that can inform our responses to outbreaks have increased in availability and volume, but access to highly confidential outbreak data and commercially sensitive contextual information remains difficult.

1 INTRODUCTION In infectious disease epidemiology, renewal equations can be used to describe how new infections are generated from individuals infected in the past. The time period that elapses between a previous infection and a new infection caused by it is called the generation time, and the variation in this time period across individuals is captured by the generation time distribution (Svensson, 2007).

Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Mills C, Donnelly CA (2024) Climate-based modelling and forecasting of dengue in three endemic departments of Peru. PLoS Negl Trop Dis 18(12): e0012596. https://doi.org/10.1371/journal.pntd.0012596 Editor: Christopher M. Barker, University of California, Davis, UNITED STATES OF AMERICA Received: October 11, 2023; Accepted: October 2, 2024; Published: December 4, 2024 Copyright: © 2024 Mills, Donnelly.