Evidence map›Paper›PMID 40754580›Full record

ArticleTropical diseases, travel medicine and vaccines2025

A cost-benefit analysis of using wastewater monitoring to guide typhoid vaccine campaigns.

Aparna Keshaviah, Agha Ali Akram, Dheeya Rizmie, Ian Raxter, Rezaul Hasan, Ziaur Rahman, Afroza Jannat Suchana, Farjana Jahan, Aninda Rahman, Mahbubur Rahman and 3 more

Abstract read
In one paragraph

Article in Tropical diseases, travel medicine and vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

13 authors.

Aparna KeshaviahMathematica, Inc. Princeton, P.O. Box 2393, Princeton, NJ, 08543-2393, USA. akeshaviah@mathematica-mpr.com.
Agha Ali AkramMathematica, Inc. Princeton, P.O. Box 2393, Princeton, NJ, 08543-2393, USA.
Dheeya RizmieMathematica, Inc. Princeton, P.O. Box 2393, Princeton, NJ, 08543-2393, USA.
Ian RaxterMathematica, Inc. Princeton, P.O. Box 2393, Princeton, NJ, 08543-2393, USA.
Rezaul HasanEnvironmental Health and WASH, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-3844-8113
Ziaur RahmanEnvironmental Health and WASH, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Afroza Jannat SuchanaEnvironmental Health and WASH, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Farjana JahanEnvironmental Health and WASH, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Aninda RahmanCommunicable Disease Control (CDC) Program, Directorate General of Health Services (DGHS), Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Mahbubur RahmanInstitute of Epidemiology, Disease Control and Research (IEDCR), Directorate General of Health Services (DGHS), Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Mahbubur RahmanEnvironmental Health and WASH, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Megan B DiamondThe Rockefeller Foundation, New York, NY, USA.
Anthony Louis D'AgostinoMathematica, Inc. Princeton, P.O. Box 2393, Princeton, NJ, 08543-2393, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEnteric diseases are a leading cause of mortality in developing countries, yet are highly preventable. Typhoid vaccines remain underutilized, and diagnostic capacity constraints impede treatment and prevention. Wastewater monitoring could provide a more accurate picture of disease burden if detection and quantification of Salmonella Typhi in wastewater are advanced. To motivate why countries should invest to improve wastewater testing methods, we conducted a cost-benefit analysis, quantifying the value this approach could yield.

methodsWe estimated benefits that could accrue if wastewater data informed the early launch of a theoretical typhoid vaccine campaign in Cox's Bazar, Bangladesh. After empirically estimating the lead-time advantage of wastewater data over clinical data to flag case upticks, we simulated changes in case counts from a 1- to 14-day early campaign launch, using ordinary differential equation modeling. We quantified benefits resulting from averted cases (from preserved caregiver time, school days, and wages), hospitalizations (from savings to public funds), and deaths (using the value of statistical life). We then calculated how cumulative benefits, costs, and the ratio of the two varied by campaign launch timing scenario over a five-year period.

resultsWastewater concentrations of Salmonella Typhi upticked up to 13 days before case counts. Cumulative benefits varied by year and launch timing. With a 13-day early launch, every $100 spent on wastewater monitoring could yield $295 in societal benefits by year 5. Cumulative benefits roughly equaled cumulative costs with a 5-day early launch and outweighed costs when the campaign was launched even earlier.

conclusionIf wastewater data can be advanced to reliably provide early warnings of new typhoid outbreaks, governments could reap large benefits that more than justify spending on program implementation. Our findings could generalize to other high-aid countries that, like Bangladesh, experience routine enteric disease outbreaks and have strong operational networks.

Indexed as

BangladeshCost-benefit analysisDiarrheal diseaseTyphoid feverVaccinationWastewater surveillance

Identifiers

PMID40754580
PMCPMC12320292

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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 OpenQuestion graph.