Evidence map›Paper›PMID 40557289›Full record

ArticleBMJ public health2025

Spatial-temporal pattern and drivers associated with measles resurgence from 2018 to 2023: a global perspective from 192 countries.

Zhuowei Luo, Ying Shen, Xiang Xu, Jingzhi Li, Xiaoli Wang

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Zhuowei LuoBeijing Center for Disease Prevention and Control, Beijing, China.ORCID 0000-0003-4506-3729
Ying ShenBeijing Center for Disease Prevention and Control, Beijing, China.
Xiang XuBeijing Center for Disease Prevention and Control, Beijing, China.
Jingzhi LiBeijing Center for Disease Prevention and Control, Beijing, China.
Xiaoli WangBeijing Center for Disease Prevention and Control, Beijing, China.ORCID 0000-0002-3128-649X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The resurgence of measles, a highly contagious infectious disease, has become a serious global public health issue. In this study, we aimed to explore global spatial-temporal measles trends and the underlying causes to help formulate effective intervention strategies. Methods: We analysed measles incidence data from 192 countries, integrating measles vaccination coverage from WHO/UNICEF Estimates of National Immunization Coverage, armed conflict data from the Uppsala Conflict Data Program and gross domestic product (GDP) per capita and population data from the World Bank's World Development Indicators. Hot spot analysis, mean centre and standard deviational ellipse models were used to examine the geographic and temporal shifts in measles outbreaks. A negative binomial mixed-effects model was then constructed to determine the influence of population size, GDP per capita, measles vaccine coverage and armed conflict on measles incidence. Results: Our findings showed a pronounced southward shift in measles outbreaks from Southeast Asia to sub-Saharan Africa between 2018 and 2019, followed by a northward progression towards Europe from 2019 to 2023. The negative binomial model indicated that armed conflict significantly increased measles incidence (estimate=1.131, p<0.05) and that higher second dose of measles vaccine (MCV2) coverage reduced incidence (estimate=-0.052, p<0.05). Additionally, regions with lower GDP per capita experienced elevated measles burdens, reflecting resource constraints and diminished vaccination infrastructure. Conclusions: Ensuring robust two-dose vaccination coverage, particularly for MCV2, remains critical for reducing measles incidence worldwide. These results underscore the importance of tailored interventions, especially in conflict-affected and lower-income regions. Enhanced spatiotemporal surveillance and targeted public health initiatives can help address both the direct impact of armed conflict on health systems and the broader socioeconomic drivers that facilitate measles outbreaks.

Indexed as

Epidemiologic FactorsEpidemiologyPublic HealthSpace-Time Clustering

Identifiers

PMID40557289
PMCPMC12185882

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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.