Evidence mapPaperPMID 40273116Full record

ArticlePLOS global public health2025

Cost-effectiveness of wastewater-based environmental surveillance for SARS-CoV-2 in Blantyre, Malawi and Kathmandu, Nepal: A model-based study.

Mercy Mvundura, Lucky G Ngwira, Kabita Bade Shrestha, Reshma Tuladhar, Jillian Gauld, Cliff Kerr, Kayla Barnes, Catherine Anscombe, Bhawana Sharma, Nicholas Feasey

Abstract read
In one paragraph

Article in PLOS global 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mercy MvunduraMedical Devices and Health Technologies, PATH, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-7711-9558
Lucky G NgwiraMalawi-Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-2695-8917
Kabita Bade ShresthaEnvironment and Public Health Organisation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4970-3359
Reshma TuladharCentral Department of Microbiology, Tribhuvan University, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-9583-5374
Jillian GauldInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Cliff KerrInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Kayla BarnesMalawi-Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Catherine AnscombeMalawi-Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Bhawana SharmaEnvironment and Public Health Organisation, Kathmandu, Nepal.
Nicholas FeaseyMalawi-Liverpool Wellcome Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.ORCID https://orcid.org/0000-0003-4041-1405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based environmental surveillance (ES) has been demonstrated to provide an early warning signal to predict variant-driven waves of pathogens such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Our study evaluated the potential cost-effectiveness of ES for SARS-CoV-2 compared with clinical testing alone. We used the Covasim agent-based model of COVID-19 to simulate disease transmission for hypothetical populations in Blantyre, Malawi, and Kathmandu, Nepal. We simulated the introduction of a new immune-escaping variant over 6 months and estimated health outcomes (cases, deaths, and disability-adjusted life years [DALYs]) and economic impact when using ES to trigger a moderate proactive behavioral intervention (e.g., increased use of masks, social distancing) by policymakers versus no ES and hence a delayed reactive intervention. Costs considered included for ES, clinical testing, treatment, and productivity loss for the entire population due to implementation of the behavioral intervention. We calculated the incremental cost-effectiveness ratios and compared these with local willingness-to-pay thresholds: $61 for Malawi and $249 for Nepal. We performed sensitivity analyses to evaluate the impact of key assumptions on the results. Costs are reported in 2022 US dollars. We estimate that if ES were implemented, approximately 600 DALYs would be averted in Blantyre and approximately 300 DALYs averted in Kathmandu, over the six-month period. Considering health system costs, ES was cost-effective in Blantyre and cost-saving in Kathmandu. Cost-effectiveness of ES was highest in settings with low clinical surveillance, high disease severity, and high intervention effectiveness. However, from the societal perspective, ES may not be cost-effective depending on the magnitude of population-wide productivity losses associated with the proactive behavioral intervention and the cost-effectiveness threshold. SARS-CoV-2 ES has the potential to be a cost-saving or cost-effective tool from the health system perspective when linked to an effective public health response. From the societal perspective, however, the length of the behavioral intervention and its consequences for productivity losses of the entire population may make ES not cost-effective. Implementing ES for multiple pathogens may improve its cost-effectiveness.

Identifiers

PMID40273116
PMCPMC12021199

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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 Socratic graph.