ArticleProceedings of the National Academy of Sciences of the United States of America2019
Decreasing measles burden by optimizing campaign timing.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 32 citations in OpenAlex.
- Routine immunization intensification, vaccination campaigns, and measles transmission in Southern Nigeria.PloS one · 2026Article
- Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations.PLoS computational biology · 2025Article
- Bias in the estimated reporting fraction due to vaccination in the time-series SIR model.PloS one · 2025Article
- A systematic review and modelling insights of factors impacting measles vaccine effectiveness, efficacy and immunogenicity.Discover viruses · 2025Review
- Optimal Timing Regularly Outperforms Higher Coverage in Preventative Measles Supplementary Immunization Campaigns.Vaccines · 2024Article
- Article
- Impact of Supplementary Immunization Activities using Novel Oral Polio Vaccine Type 2 during a Large outbreak of Circulating Vaccine-Derived Poliovirus in Nigeria.The Journal of infectious diseases · 2024Article
- Article
- SPACE-TIME SMOOTHING MODELS FOR SUBNATIONAL MEASLES ROUTINE IMMUNIZATION COVERAGE ESTIMATION WITH COMPLEX SURVEY DATA.The annals of applied statistics · 2021Article
- Article
- Vaccination strategies for measles control and elimination: time to strengthen local initiatives.BMC medicine · 2021Article
- Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets.International journal of environmental research and public health · 2020Article
- Review
- Time Series Forecasting of Measles Incidence in Pakistan, 2014-2024.Asia-Pacific journal of public healthArticle
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measles remains a major contributor to preventable child mortality, and bridging gaps in measles immunity is a fundamental challenge to global health. In high-burden settings, mass vaccination campaigns are conducted to increase access to vaccine and address this issue. Ensuring that campaigns are optimally effective is a crucial step toward measles elimination; however, the relationship between campaign impact and disease dynamics is poorly understood. Here, we study measles in Pakistan, and we demonstrate that campaign timing can be tuned to optimally interact with local transmission seasonality and recent incidence history. We develop a mechanistic modeling approach to optimize timing in general high-burden settings, and we find that in Pakistan, hundreds of thousands of infections can be averted with no change in campaign cost.
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Registered trials
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.