Evidence map›Paper›PMID 42406797›Full record

ArticlePLoS neglected tropical diseases2026

Cost analysis of implementing community-based mass drug administration for schistosomiasis control among adult individuals using community drug distributors in Ukerewe district council, North-Western Tanzania.

Jackson M Bwimba, Alphoncina Kagaigai, Elizabeth Gudu, Irene Msirikale, Ruchius Philbert, Crecencia E Chiombola, Charles Guya Mkombe, Saskia Kreibich, Christa Kasang, Antje Fuss and 3 more

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Article in PLoS neglected tropical diseases, 2026. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Jackson M BwimbaDepartment of Pharmacy, Muhimbili National Hospital (MNH), Dar es Salaam, Tanzania.ORCID https://orcid.org/0009-0009-9618-3684
Alphoncina KagaigaiDepartment of Paediatrics and Child Health, Muhimbili National Hospital (MNH), Dar es Salaam, Tanzania.
Elizabeth GuduSchool of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
Irene MsirikaleDepartment of Finance, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Ruchius PhilbertDepartment of Finance, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Crecencia E ChiombolaDepartment of Medical Parasitology and Entomology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Charles Guya MkombeDistrict Medical Department, Ukerewe District Council, Nansio, Ukerewe, Mwanza, Tanzania.
Saskia KreibichDAHW - German Leprosy and Tuberculosis Relief Association, Würzburg, Germany.
Christa KasangDAHW - German Leprosy and Tuberculosis Relief Association, Würzburg, Germany.
Antje Fussmedmissio - Institute for Global Health, Würzburg, Germany.
Andreas Muellermedmissio - Institute for Global Health, Würzburg, Germany.
Humphrey D MazigoDepartment of Medical Parasitology and Entomology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Amani Thomas MoriDepartment of Global Public Health and Primary Care, Section for Ethics and Health Economics, University of Bergen (UiB), Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchistosomiasis is a significant public health challenge in sub-Saharan Africa, with Tanzania having the second-highest disease burden. While mass drug administration (MDA) with praziquantel is effective, high-risk groups including adults living in remote rural areas are often neglected. To achieve schistosomiasis elimination by 2030, it is important to expand mass treatment to groups left out of interventions. The five-year Ukerewe Schistosomiasis Control Program has expanded the MDA campaigns to include the adult population through a community-based MDA implemented by community drug distributors in remote islands. This study aimed to estimate the implementation costs of the first phase of the Ukerewe Schistosomiasis Control Program among the adult population residing on Ukerewe Island, Tanzania.

methodsA descriptive cross-sectional study was conducted from a provider's perspective, using a combination of activity-based costing and ingredients approaches to identify, quantify, and value all resources consumed in implementing the MDA. The analysis includes 30 villages and targeted 200,000 individuals. Secondary data were collected from financial records, inventory and transportation logs, and program budgets. Costs were categorized as capital if incurred on items that last more than a year or else as recurrent. Capital costs were annualized with a discount rate of 3% and annualization factor related to their useful life years (economic cost) or by straight-line depreciation method to estimate their economic and financial costs, respectively). Costs were collected in Tanzanian shillings (TZS) and adjusted to 2025 based on prevailing exchange rates from the Bank of Tanzania. The analysis was performed using an Excel spreadsheet (Microsoft Excel, Microsoft Corporation).

resultsFrom 2021 to 2025, the economic and financial costs of the program were estimated at USD 377,189 and USD 208,999 respectively. This translates into an average economic and financial costs of USD 1.2 and USD 0.7 per person treated. Nearly three-quarters of the economic cost (70%) was attributed to drug distribution and treatment, followed by training, sensitization, and monitoring activities. Recurrent costs, primarily for medicines and personnel, accounted for 97% of total cost. Cost projections through 2030 indicate that the total MDA costs will rise with population growth; however, the unit cost is expected to decline, signaling economies of scale and improved cost-efficiency.

conclusionThe Ukerewe MDA program provides strong evidence that large-scale, cost-efficient schistosomiasis treatment is feasible with robust planning. Future program efficiency can be further enhanced through improved supply chain systems, bulk procurement, and consideration of lower-cost praziquantel biosimilars, offering a scalable model for schistosomiasis control in other high-burden regions.

Indexed as

AnthelminticsMass Drug AdministrationPraziquantelSchistosomiasisAdultCosts and Cost AnalysisCross-Sectional StudiesDrug DispensariesFemaleHumansMaleRural PopulationTanzaniaAnthelminticsPraziquantel

Identifiers

PMID42406797
PMCPMC13354067

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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.