Climate change and infectious disease: A prologue on multidisciplinary cooperation and predictive analytics

Front Public Health. 2023 Jan 20:11:1018293. doi: 10.3389/fpubh.2023.1018293. eCollection 2023.

Abstract

Climate change impacts global ecosystems at the interface of infectious disease agents and hosts and vectors for animals, humans, and plants. The climate is changing, and the impacts are complex, with multifaceted effects. In addition to connecting climate change and infectious diseases, we aim to draw attention to the challenges of working across multiple disciplines. Doing this requires concentrated efforts in a variety of areas to advance the technological state of the art and at the same time implement ideas and explain to the everyday citizen what is happening. The world's experience with COVID-19 has revealed many gaps in our past approaches to anticipating emerging infectious diseases. Most approaches to predicting outbreaks and identifying emerging microbes of major consequence have been with those causing high morbidity and mortality in humans and animals. These lagging indicators offer limited ability to prevent disease spillover and amplifications in new hosts. Leading indicators and novel approaches are more valuable and now feasible, with multidisciplinary approaches also within our grasp to provide links to disease predictions through holistic monitoring of micro and macro ecological changes. In this commentary, we describe niches for climate change and infectious diseases as well as overarching themes for the important role of collaborative team science, predictive analytics, and biosecurity. With a multidisciplinary cooperative "all call," we can enhance our ability to engage and resolve current and emerging problems.

Keywords: biosecurity; climate; cooperative engagement; infectious disease; predictive analysis.

MeSH terms

  • Animals
  • COVID-19* / epidemiology
  • Climate Change
  • Communicable Diseases* / epidemiology
  • Communicable Diseases, Emerging* / epidemiology
  • Ecosystem
  • Humans