Evidence map›Paper›PMID 35114957›Full record

ArticleBMC public health2022

Milk and meat consumption patterns and the potential risk of zoonotic disease transmission among urban and peri-urban dairy farmers in Ethiopia.

Tilaye Teklewold Deneke, Adam Bekele, Henrietta L Moore, Tadele Mamo, Gizat Almaw, Getnet Abie Mekonnen, Adane Mihret, Rea Tschopp, Likawent Yeheyis, Catherine Hodge and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Molecular detection and culture ofFrontiers in public health · 2026
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  20. Exploring bovine brucellosis in Bangladesh: Current scenario and future outlook.Journal of advanced veterinary and animal research · 2024
    Review
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.

Tilaye Teklewold DenekeAmhara Regional Agricultural Research Institute, Bahar Dar, Ethiopia. ttddeneke@yahoo.com.
Adam BekeleEthiopian Institute of Agricultural Research, Addis Ababa, Ethiopia.
Henrietta L MooreInstitute for Global Prosperity, University College London, London, UK.
Tadele MamoEthiopian Institute of Agricultural Research, Addis Ababa, Ethiopia.
Gizat AlmawNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Getnet Abie MekonnenNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Adane MihretArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Rea TschoppArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Likawent YeheyisAmhara Regional Agricultural Research Institute, Bahar Dar, Ethiopia.
Catherine HodgeInstitute for Global Prosperity, University College London, London, UK.
James L N WoodCambridge University, Cambridge, UK.
Stefan BergAnimal and Plant Health Agency, Weybridge, UK.
ETHICOBOTS consortium

Funding

Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
Biotechnology and Biological Sciences Research Council BB/L018977/1FIC NIH HHS D43 TW009127
6 · The paper itself

Abstract

backgroundIn the Ethiopian dairy farming system, prevalence of zoonotic diseases such as bovine tuberculosis (bTB) is high in the cattle population. This, combined with some risky milk and meat consumption habits, such as raw milk and uninspected raw meat consumption, poses a considerable risk of zoonotic disease transmission. A survey was conducted to investigate milk and meat consumption patterns, and the level of exposure to urban and peri-urban dairy-keeping households for risks of zoonotic disease transmission.

methodsData on milk and meat consumption behaviours and other socioeconomic and demographic variables were collected from 480 urban and peri-urban dairy farms randomly surveyed in major towns in Ethiopia (Mekele, Hawassa, and Gondar towns, Addis Ababa city, as well as five Oromia towns around Addis Ababa). Determinants of raw milk consumption associated with a number of demographic and socio-economic factors were analysed using a generalised ordered logistic model.

resultsThe results indicated that about 20% the population consumed raw milk and their awareness about pasteurisation and its benefits were low. Location, gender of the household head, previous bTB testing of cattle on the farm, knowledge of zoonotic risks associated with raw milk consumption, household size, and per-capita milk consumption were found to be important determinants of the frequency of raw milk consumption. About 60% of the respondents were exposed to the risk of zoonotic diseases through their habit of frequently consuming raw meat. This was despite that over 90% of the respondents were aware of possible zoonotic risks of raw meat consumption. The determinants of raw meat consumption behaviours were associated with location, gender and age of the household head, household size, meat type preference, per-capita meat consumption, knowledge about disease transmission risks, and training on zoonoses.

conclusionCreating awareness about the risk factors for zoonotic transmission of diseases through training and media campaigns, improving meat hygiene through better abattoir services, and inducing behavioural change around meat sourcing, raw meat and raw milk consumption, are all crucial to the successful prevention and control of the spread of zoonotic diseases, including bTB.

Indexed as

FarmersTuberculosis, BovineAnimalsCattleDairyingEthiopiaHumansMeatMilkZoonosesBovine tuberculosisConsumptionMycobacterium bovisRaw meatRaw milkZoonosis

Identifiers

PMID35114957
PMCPMC8815239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.