Evidence map›Paper›PMID 40354311›Full record

ArticlePLoS computational biology2025

Mathematical modeling of malaria vaccination with seasonality and immune feedback.

Zhuolin Qu, Denis Patterson, Lihong Zhao, Joan Ponce, Christina J Edholm, Olivia F Prosper Feldman, Lauren M Childs

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Zhuolin QuDepartment of Mathematics, University of Texas at San Antonio, San Antonio, Texas, United States of America.ORCID 0000-0002-8653-5975
Denis PattersonDepartment of Mathematical Sciences, Durham University, Durham, United Kingdom.ORCID 0000-0002-4509-7294
Lihong ZhaoDepartment of Applied Mathematics, University of California, Merced, Merced, California, United States of America.ORCID 0000-0001-5985-0614
Joan PonceSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona, United States of America.ORCID 0000-0002-5158-3272
Christina J EdholmMathematics Department, Scripps College, Claremont, California, United States of America.
Olivia F Prosper FeldmanDepartment of Mathematics, University of Tennessee, Knoxville, Tennessee, United States of America.
Lauren M ChildsDepartment of Mathematics, Virginia Tech, Blacksburg, Virginia, United States of America.ORCID 0000-0003-3904-3895

Funding

National Science Foundation DMS-1763272National Science Foundation DMS-1916439
6 · The paper itself

Abstract

Malaria is one of the deadliest infectious diseases globally, claiming hundreds of thousands of lives each year. The disease presents substantial heterogeneity among the population, with approximately two-thirds of fatalities occurring in children under five years old. Immunity to malaria develops through repeated exposure and plays a crucial role in disease dynamics. Seasonal environmental fluctuations, such as changes in temperature and rainfall, lead to temporal heterogeneity and further complicate transmission dynamics and the utility of intervention strategies. We employ an age-structured partial differential equation model to characterize seasonal malaria transmission and assess vaccination strategies that vary by timing and duration. Our model integrates vector-host epidemiological dynamics across different age groups and nonlinear feedback between transmission and immunity. We calibrate the model to year-round and seasonal malaria settings and conduct extensive sensitivity analyses for both scenarios to systematically assess which assumptions lead to the most uncertainty. We use time-varying sensitivity indices to identify critical disease parameters during low and high transmission seasons. We further investigate the impact of vaccination and its implementation in the seasonal malaria settings. When implementing a three-dose primary vaccination series, seasonally targeted campaigns can prevent significantly more cases per vaccination than constant year-long programs in regions with strong seasonal variation in transmission. In such scenarios, the optimal vaccination interval aligns with the peak in infected mosquito abundance and precedes the peak in malaria transmission. In contrast, seasonal booster programs may provide limited advantages over year-long vaccination. Additionally, while increasing annual vaccination counts can reduce overall disease incidence, it yields marginal improvements in cases prevented per vaccination.

Indexed as

MalariaMalaria VaccinesVaccinationAnimalsChildChild, PreschoolComputational BiologyHumansInfantSeasonsMalaria Vaccines

Identifiers

PMID40354311
PMCPMC12068631

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.