Evidence map›Paper›PMID 32434499›Full record

ArticleBMC public health2020

"We never boil our milk, it will cause sore udders and mastitis in our cows"- consumption practices, knowledge and milk safety awareness in Senegal.

Bhagyalakshmi Chengat Prakashbabu, Jacqueline M Cardwell, Laura Craighead, Andrée Prisca Ndjoug Ndour, Damitoti Yempabou, Elhadji Ba, Rianatou Bada-Alambedji, Ayayi Justin Akakpo, Javier Guitian

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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

9 authors.

Bhagyalakshmi Chengat PrakashbabuVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, Herts, Hatfield, UK. bchengat2@rvc.ac.uk.ORCID http://orcid.org/0000-0002-9756-0084
Jacqueline M CardwellVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, Herts, Hatfield, UK.
Laura CraigheadVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, Herts, Hatfield, UK.
Andrée Prisca Ndjoug NdourEcole Inter Etats des Sciences et Médecine Vétérinaires de Dakar (EISMV), Dakar, Senegal.
Damitoti YempabouEcole Inter Etats des Sciences et Médecine Vétérinaires de Dakar (EISMV), Dakar, Senegal.
Elhadji BaInstitut de recherche pour le développement (IRD), Dakar, Senegal.
Rianatou Bada-AlambedjiEcole Inter Etats des Sciences et Médecine Vétérinaires de Dakar (EISMV), Dakar, Senegal.
Ayayi Justin AkakpoEcole Inter Etats des Sciences et Médecine Vétérinaires de Dakar (EISMV), Dakar, Senegal.
Javier GuitianVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, Royal Veterinary College, Hawkshead Lane, Herts, Hatfield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMilk is a nutrient-rich food that makes an important contribution to diets in several Low and Middle Income Countries such as Senegal. Milk can also harbour several pathogenic microorganisms. As in other low and middle income countries, the dairy industry in Senegal is growing, with an expansion of farms to meet rapidly growing demand in the cities. However, most of the production still happens in the informal sector, and little is known about consumption of milk and milk products, or knowledge, awareness and practices of actors in informal dairy supply chains.

methodsWe conducted structured focus group discussions with dairy farmers and milk processors in three selected regions (Dakar, Thies and Fatick) in Senegal to investigate the consumption practices, awareness of milk borne hazards, and practices relevant to the risk of milk contamination to gain a deeper understanding of drivers of milk-borne diseases. Data on the consumption of milk and milk products were also collected using a closed questionnaire.

resultsResults indicate that milk is an important part of the diet in the study regionsand raw milk consumption is very common. The most common milk product consumed was fermented milk. Awareness of milk borne hazards was limited. Several farmers and processors reported risky practices, despite being aware of better practices, due to cultural beliefs. In households, children, pregnant women and older people were prioritised when milk and milk products were distributed. Dairy farmers and milk processors were more concerned with the lack of food for animals, low production and seasonality of production than the safety of the milk and milk products.

conclusionsLack of awareness of milk borne infections and some traditional practices put milk and milk product consumers in the study area at high risk of milk borne diseases.. Prioritising certain sub population at households (Pregnant women and children) makes then vulnerable to milk-borne hazards. It will be challenging to change the risky practices as they are motivated by cultural beliefs hence the best strategy to promote milk safety will be to encourage the boiling of milk by consumers.

Indexed as

CultureDairyingFoodborne DiseasesFood SafetyHealth Knowledge, Attitudes, PracticePasteurizationAdolescentAdultAgedAnimalsAwarenessCattleChildFamily CharacteristicsFarmersFemaleFocus-groupsFood safetyMilk-borne diseasesRaw milkSenegal

Identifiers

PMID32434499
PMCPMC7240928

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.