Evidence map›Paper›PMID 36741948›Full record

ArticleFrontiers in public health2023

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

Kenneth B Yeh, Falgunee K Parekh, Illich Mombo, Joseph Leimer, Roger Hewson, Gene Olinger, Jeanne M Fair, Yijun Sun, John Hay

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Machine learning for predicting climate change impacts onNew Zealand veterinary journal · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kenneth B YehMRIGlobal, Gaithersburg, MD, United States.
Falgunee K ParekhEpiPointe LLC, Cary, NC, United States.
Illich MomboCIRMF, Franceville, Gabon, Central African Republic.
Joseph LeimerMRIGlobal, Gaithersburg, MD, United States.
Roger HewsonUK Health Security Agency, Salisbury, United Kingdom.
Gene OlingerMRIGlobal, Gaithersburg, MD, United States.
Jeanne M FairLos Alamos National Laboratory, Los Alamos, NM, United States.
Yijun SunJacobs School of Medicine and Biomedical Sciences, Buffalo, NY, United States.
John HayJacobs School of Medicine and Biomedical Sciences, Buffalo, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Communicable DiseasesCommunicable Diseases, EmergingCOVID-19AnimalsClimate ChangeEcosystemHumansbiosecurityclimatecooperative engagementinfectious diseasepredictive analysis

Identifiers

PMID36741948
PMCPMC9895942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.