ArticleBMC public health2025
Exploring affordable and effective pandemic containment measures in lower-income countries with a spatial SEIR model: a case study in South Africa.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe COVID-19 pandemic has exposed the vulnerabilities of lower-income countries due to limited healthcare infrastructure and socioeconomic constraints, highlighting the need for effective containment measures that minimize socioeconomic costs and prepare for future pandemics alike, which are expected to become more frequent. Although prior studies have examined various strategies in these regions, a significant gap remains in quantitative research on affordable measures to combat the highly transmissible SARS-CoV-2 Omicron variant, which greatly challenges effective measures for previous strains. Studies on targeted containment measures for Omicron have dramatically declined even in higher-income regions, and their findings could be much less applicable in lower-income regions due to substantial socioeconomic disparities.
methodsThis study addresses this gap by focusing on South Africa. A spatial Susceptible-Exposed-Infected-Recovered (SEIR) model was developed to simulate the virus spread during the country's first Omicron wave from November 2021 to April 2022, integrating multisource statistics to overcome the typical scarcity of inter-city mobility data in lower-income countries. Three affordable containment measures were examined: (1) restricting inter-city mobility in epicenter provinces, while allowing nationwide intra-city movement for livelihood activities; (2) home isolation for positive cases, alongside quarantine for co-residents, accounting for high rates of asymptomatic cases, underreporting, and delays of self-isolation; and (3) prioritizing booster vaccinations for high-risk healthcare workers.
resultsThe findings indicate that restricting inter-city mobility in the epicenter Gauteng, which only accounted for 3.6% of national mobility, could reduce national infections by 15.0%. Quarantining households with positive cases could reduce infections by 10.9%, despite the high rates of asymptomatic cases and presymptomatic transmission. Prioritizing booster vaccinations was also effective when healthcare workers had a much higher infection risk than others. Meanwhile, these measures incurred minimal socioeconomic costs compared to earlier pandemic strategies. Additionally, the spatial variation of containment measure effectiveness suggests that timely implementation of these measures before the infection rate escalates is critical for ensuring their effectiveness.
conclusionsThis research provides essential insights for lower-income countries to manage current and future pandemics within their economic and healthcare constraints, especially regarding targeted mobility restriction, quarantine, prioritized vaccination, and timing of containment measures.
Indexed as
Identifiers
What OpenQuestion holds
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.