Evidence map›Paper›PMID 39171421›Full record

ReviewGlobal change biology2024

Infectious disease responses to human climate change adaptations.

Georgia Titcomb, Johnny Uelmen, Mark Janko, Charles Nunn

Abstract readReview
In one paragraph

Review in Global change biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

Georgia TitcombDepartment of Fish, Wildlife, and Conservation Biology, Warner College of Natural Resources, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-2206-1125
Johnny UelmenTriangle Center for Evolutionary Medicine, Durham, North Carolina, USA.ORCID 0000-0003-3057-5107
Mark JankoDuke Global Health Institute, Durham, North Carolina, USA.ORCID 0000-0002-4099-3081
Charles NunnTriangle Center for Evolutionary Medicine, Durham, North Carolina, USA.ORCID 0000-0001-9330-2873

Funding

The Impact of Land Use Change on Transmission Potential Networks and Disease Spread in Rural MadagascarR01TW011493 · FIC · DUKE UNIVERSITY · PI NUNN, CHARLES · 2019 to 2023
$2.6M
FIC NIH HHS R01 TW011493NIH HHS R01-TW011493
6 · The paper itself

Abstract

Many recent studies have examined the impact of predicted changes in temperature and precipitation patterns on infectious diseases under different greenhouse gas emissions scenarios. But these emissions scenarios symbolize more than altered temperature and precipitation regimes; they also represent differing levels of change in energy, transportation, and food production at a global scale to reduce the effects of climate change. The ways humans respond to climate change, either through adaptation or mitigation, have underappreciated, yet hugely impactful effects on infectious disease transmission, often in complex and sometimes nonintuitive ways. Thus, in addition to investigating the direct effects of climate changes on infectious diseases, it is critical to consider how human preventative measures and adaptations to climate change will alter the environments and hosts that support pathogens. Here, we consider the ways that human responses to climate change will likely impact disease risk in both positive and negative ways. We evaluate the evidence for these impacts based on the available data, and identify research directions needed to address climate change while minimizing externalities associated with infectious disease, especially for vulnerable communities. We identify several different human adaptations to climate change that are likely to affect infectious disease risk independently of the effects of climate change itself. We categorize these changes into adaptation strategies to secure access to water, food, and shelter, and mitigation strategies to decrease greenhouse gas emissions. We recognize that adaptation strategies are more likely to have infectious disease consequences for under-resourced communities, and call attention to the need for socio-ecological studies to connect human behavioral responses to climate change and their impacts on infectious disease. Understanding these effects is crucial as climate change intensifies and the global community builds momentum to slow these changes and reduce their impacts on human health, economic productivity, and political stability.

Indexed as

Climate ChangeCommunicable DiseasesAdaptation, PhysiologicalHumansagricultural adaptationclimate change mitigationfood securitypathogen transmissionshared socioeconomic pathwaysvector ecologywater supply and distribution

Identifiers

PMID39171421
PMCPMC11646313

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.