Assessing climate change effects on vector-borne disease patterns to strengthen surveillance, prevention and adaptive global public health policies

Climate change has emerged as a defining public health challenge of the 21st century, profoundly influencing the distribution, transmission dynamics, and seasonality of vector-borne diseases (VBDs) worldwide. Rising temperatures, altered precipitation patterns, and extreme weather events are reshaping ecosystems, expanding the geographic range of disease vectors such as mosquitoes, ticks, and sandflies into previously non-endemic regions. This environmental shift has contributed to the resurgence and spread of major diseases, including malaria, dengue, chikungunya, Zika virus, and Lyme disease, particularly in vulnerable low- and middle-income countries with limited health infrastructure. At a broader scale, these changes underscore the need for integrated climate–health modeling frameworks to anticipate vector proliferation and disease outbreaks under varying emission and climate scenarios. However, current surveillance and control strategies remain fragmented and often reactive, lacking the capacity to address the complex interactions between climate, vector ecology, and human behavior. Strengthening global health resilience requires adaptive and predictive systems that merge satellite-based climate data, remote sensing, and machine learning to monitor environmental determinants in real time. A transition toward proactive, evidence-based policymaking anchored in One Health principles and supported by international collaboration is essential to mitigate disease burden. This approach not only enhances surveillance and early warning systems but also informs targeted interventions, resource allocation, and community-based adaptation strategies. Ultimately, integrating climate intelligence into vector-borne disease management can enable nations to anticipate emerging health threats, protect at-risk populations, and build sustainable public health systems resilient to ongoing and future climate change impacts.

Institutions

Publication Details

Journal
Magna Scientia Advanced Biology and Pharmacy
Published
2024-12-31
DOI
https://doi.org/10.30574/msabp.2024.13.2.0075
Citations
1
Primary Topic
Agriculture and Farm Safety
Type
article
Field-Weighted Citation Impact
0.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing climate change effects on vector-borne disease patterns to strengthen surveillance, prevention and adaptive global public health policies

1 citations
Magna Scientia Advanced Biology and Pharmacy
Agriculture and Farm Safety
0.60
article

Assessing climate change effects on vector-borne disease patterns to strengthen surveillance, prevention and adaptive global public health policies

article en
1 citations

Abstract

Climate change has emerged as a defining public health challenge of the 21st century, profoundly influencing the distribution, transmission dynamics, and seasonality of vector-borne diseases (VBDs) worldwide. Rising temperatures, altered precipitation patterns, and extreme weather events are reshaping ecosystems, expanding the geographic range of disease vectors such as mosquitoes, ticks, and sandflies into previously non-endemic regions. This environmental shift has contributed to the resurgence and spread of major diseases, including malaria, dengue, chikungunya, Zika virus, and Lyme disease, particularly in vulnerable low- and middle-income countries with limited health infrastructure. At a broader scale, these changes underscore the need for integrated climate–health modeling frameworks to anticipate vector proliferation and disease outbreaks under varying emission and climate scenarios. However, current surveillance and control strategies remain fragmented and often reactive, lacking the capacity to address the complex interactions between climate, vector ecology, and human behavior. Strengthening global health resilience requires adaptive and predictive systems that merge satellite-based climate data, remote sensing, and machine learning to monitor environmental determinants in real time. A transition toward proactive, evidence-based policymaking anchored in One Health principles and supported by international collaboration is essential to mitigate disease burden. This approach not only enhances surveillance and early warning systems but also informs targeted interventions, resource allocation, and community-based adaptation strategies. Ultimately, integrating climate intelligence into vector-borne disease management can enable nations to anticipate emerging health threats, protect at-risk populations, and build sustainable public health systems resilient to ongoing and future climate change impacts.

Magna Scientia Advanced Biology and PharmacyVol. 13(2)
Western Illinois University (US), Illinois Department of Public Health (US)
Openalex Percentile: Top 19%
Agriculture and Farm Safety
0.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing climate change effects on vector-borne disease patterns to strengthen surveillance, prevention and adaptive global public health policies · Magna Scientia Advanced Biology and Pharmacy (2024) | TGRS Research Map | TGRS