Evidence map›Paper›PMID 37024865›Full record

ArticleBMC public health2023

Estimates of disease burden caused by foodborne pathogens in contaminated dairy products in Rwanda.

Amanda C Sapp, Gabriela F Nane, Mirna P Amaya, Eugène Niyonzima, Jean Paul Hategekimana, John J VanSickle, Ronald M Gordon, Arie H Havelaar

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Healthcare costs of foodborne diseases in the United States: an analysis using electronic health records.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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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

8 authors at 4 institutions in 3 countries.

Amanda C SappEmerging Pathogens Institute, Global Food Systems Institute, Animal Sciences Department, University of Florida, Gainesville, FL, USA.
Gabriela F NaneDepartment of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Mirna P AmayaEmerging Pathogens Institute, Global Food Systems Institute, Animal Sciences Department, University of Florida, Gainesville, FL, USA.
Eugène NiyonzimaCollege of Agriculture, Animal Sciences and Veterinary Medicine, University of Rwanda, Musanze, Rwanda.
Jean Paul HategekimanaCollege of Agriculture, Animal Sciences and Veterinary Medicine, University of Rwanda, Musanze, Rwanda.
John J VanSickleFood and Resource Economics Department, University of Florida, Gainesville, FL, USA.
Ronald M GordonFood and Resource Economics Department, University of Florida, Gainesville, FL, USA.
Arie H HavelaarEmerging Pathogens Institute, Global Food Systems Institute, Animal Sciences Department, University of Florida, Gainesville, FL, USA. ariehavelaar@ufl.edu.
University of Florida · USUniversity of Rwanda · RWArizona Science Center · USDelft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Girinka program in Rwanda has contributed to an increase in milk production, as well as to reduced malnutrition and increased incomes. But dairy products can be hazardous to health, potentially transmitting diseases such as bovine brucellosis, tuberculosis, and cause diarrhea. We analyzed the burden of foodborne disease due to consumption of raw milk and other dairy products in Rwanda to support the development of policy options for the improvement of the quality and safety of milk.

methodsDisease burden data for five pathogens (Campylobacter spp., nontyphoidal Salmonella enterica, Cryptosporidium spp., Brucella spp., and Mycobacterium bovis) were extracted from the 2010 WHO Foodborne Disease Burden Epidemiology Reference Group (FERG) database and merged with data of the proportion of foodborne disease attributable to consuming dairy products from FERG and a separately published Structured Expert Elicitation study to generate estimates of the uncertainty distributions of the disease burden by Monte Carlo simulation.

resultsAccording to WHO, the foodborne disease burden (all foods) of these five pathogens in Rwanda in 2010 was like or lower than in the Africa E subregion as defined by FERG. There were 57,500 illnesses occurring in Rwanda owing to consumption of dairy products, 55 deaths and 3,870 Disability Adjusted Life Years (DALYs) causing a cost-of-illness of $3.2 million. 44% of the burden (in DALYs) was attributed to drinking raw milk and sizeable proportions were also attributed to traditionally (16-23%) or industrially (6-22%) fermented milk. More recent data are not available, but the burden (in DALYs) of tuberculosis and diarrheal disease by all causes in Rwanda has declined between 2010 and 2019 by 33% and 46%, respectively.

conclusionThis is the first study examining the WHO estimates of the burden of foodborne disease on a national level in Rwanda. Transitioning from consuming raw to processed milk (fermented, heat treated or otherwise) may prevent a considerable disease burden and cost-of-illness, but the full benefits will only be achieved if there is a simultaneous improvement of pathogen inactivation during processing, and prevention of recontamination of processed products.

Indexed as

CryptosporidiosisCryptosporidiumFoodborne DiseasesAnimalsCattleCost of IllnessHumansMilkRwandaBrucellaCampylobacterCryptosporidiumDairyDisability-adjusted life yearsDisease burdenIncidenceMortalityMycobacterium bovisRisk assessmentRwandaSalmonella

Identifiers

PMID37024865
PMCPMC10077627
OpenAlexW4362667247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.