ArticleAnnals of epidemiology2020
Spatio-temporal dynamics of measles outbreaks in Cameroon.
Article in Annals of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Editorial: New discoveries and challenges in pediatric infectious diseases: epidemiological, clinical, and pathogenic advances.Frontiers in pediatrics · 2026Article
- Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations.PLoS computational biology · 2025Article
- Comparing and integrating human mobility data sources for measles transmission modeling in Zambia.PLOS global public health · 2025Article
- Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda.BMC public health · 2023Article
- Burden of vaccine-preventable diseases, trends in vaccine coverage and current challenges in the implementation of the expanded program on immunization: A situation analysis of Cameroon.Human vaccines & immunotherapeutics · 2022Review
- Article
- Measles epidemic in Southern Vietnam: an age-stratified spatio-temporal model for infectious disease counts.Epidemiology and infection · 2022Article
- African Vaccinology Network (AfVANET): an African network by African scientists.The Pan African medical journal · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
purposeIn 2012, Cameroon experienced a large measles outbreak of over 14,000 cases. To determine the spatio-temporal dynamics of measles transmission in Cameroon, we analyzed weekly case data collected by the Ministry of Health.
methodsWe compared several multivariate time-series models of population movement to characterize the spatial spread of measles in Cameroon. Using the best model, we evaluated the contribution of population mobility to disease transmission at increasing geographic resolutions: region, department, and health district.
resultsOur spatio-temporal analysis showed that the power law model, which accounts for long-distance population movement, best represents the spatial spread of measles in Cameroon. Population movement between health districts within departments contributed to 7.6% (range: 0.4%-13.4%) of cases at the district level, whereas movement between departments within regions contributed to 16.0% (range: 1.3%-23.2%) of cases. Long-distance movement between regions contributed to 16.7% (range: 0.1%-59.0%) of cases at the region level, 20.1% (range: 7.1%-30.0%) at the department level, and 29.7% (range: 15.3%-47.6%) at the health district level.
conclusionsPopulation long-distance mobility is an important driver of measles dynamics in Cameroon. These findings demonstrate the need to improve our understanding of the roles of population mobility and local heterogeneity of vaccination coverage in the spread and control of measles in Cameroon.
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