| Title |
Assessment of raw milk quality and stakeholders’ awareness on milk-borne health risks in Arusha City and Meru District, Tanzania
|
|---|---|
| Published in |
Tropical Animal Health and Production, April 2015
|
| DOI | 10.1007/s11250-015-0810-y |
| Pubmed ID | |
| Authors |
J uma Bukuku Ngasala, Hezron Emmanuel Nonga, Mkumbukwa Madundo Angelo Mtambo |
| Abstract |
A cross-sectional study was conducted to assess the quality of raw milk and stakeholders' awareness on milk-borne health risks and factors for poor milk hygiene in Arusha City and Meru District, Tanzania between October and December 2012. A total of 105 smallholder dairy farmers, milk vendors and milk retailers were interviewed, and milk samples were collected for physical, microbial and antibiotic residue analysis using standard procedures. Questionnaire results indicated high level of awareness (94 %) that drinking raw milk can predispose consumers to milk-borne diseases; nevertheless, 65 % of respondents consumed raw milk. Physicochemical analyses showed some of the milk had sediments (20 %), bad smell (21 %) and had clotted on alcohol test (27 %). About 36 % of milk samples had pH below 6.6, and 25 % had specific gravity below 1.028 g/ml. The mean total viable count (TVC) of milk from vendors is significantly (P < 0.05) higher than that from retailers and smallholder dairy farmers. Generally, 65 % of milk samples assessed had a higher TVC than the level recommended (2.0 × 10(5) cfu/ml) by the East African Community (EAC) standards. Up to 91 % of the milk samples had bacterial growth that included Eschericia coli (66 %), Staphylococcus aureus (33 %), Corynebacterium (11 %) and Pseudomonas (10 %). All smallholder dairy farmers were aware of drug residues, but majority (57 %) were unaware of human health effects caused by veterinary drug residues in milk. Up to 97 % of respondents reported to comply with drug withdrawal periods. This possibly led to all milk samples analysed to be negative from detectable levels of antibiotic residues. It is concluded that the level of awareness on milk quality is high, although practices associated with milking and post-harvest handling predispose milk to bacterial contamination which is a public health risk to milk consumers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | <1% |
| Unknown | 126 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 17% |
| Researcher | 16 | 13% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Doctoral Student | 9 | 7% |
| Student > Postgraduate | 9 | 7% |
| Other | 16 | 13% |
| Unknown | 43 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 21% |
| Veterinary Science and Veterinary Medicine | 15 | 12% |
| Medicine and Dentistry | 7 | 6% |
| Social Sciences | 7 | 6% |
| Immunology and Microbiology | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 47 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2015.
All research outputs
#21,415,544
of 23,911,072 outputs
Outputs from Tropical Animal Health and Production
#922
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Outputs of similar age
#229,736
of 267,676 outputs
Outputs of similar age from Tropical Animal Health and Production
#18
of 36 outputs
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