| Literature DB >> 35977962 |
Tesfaye D Bedane1,2, Getahun E Agga3, Fanta D Gutema4,5.
Abstract
Fishborne diseases are among the major causes of morbidity and mortality worldwide. Contamination of the aquatic ecosystem and unhygienic handling practices along the fish supply chain can lead to a contaminated fish. Consumption of raw or under cooked fish and fish products is a major source of fishborne infections in humans. Despite reports of fish contamination with foodborne pathogens in Ethiopia, information regarding the hygienic status of fish handling practices is limited. We assessed fish hygienic handling practices at production sites and along the fish supply chain in three towns in east Shewa zone of Oromia. Data were collected using a semi-structured questionnaire interviews and personal observations. The study consisted of purposively selected respondents comprising of 50 fishermen, 10 retailers, 20 food establishments serving fish, and 120 consumers. Descriptive statistics and Chi-square test were used to present the proportion of various actors along the fish production and supply chain and to compare the proportions of observations among the different categories respectively. We observed that the lakes were accessible to animals and exposed to chemical and microbial contaminations through rainwater run-off. Fish were processed under unhygienic practices like washing of filleted fish with lake water, indiscriminate processing at unhygienic landing sites, use of a single knife for processing all fish with infrequent washing and with no disinfection in between. Majority (70%; n = 10) of the retailers and all the food establishments transported fish in vehicles with no cold chain facilities. Good hygienic practices we observed were the use of refrigerators for storage in all retailers and 70% (n = 20) of the food establishments; 30% of retailers used vehicles with a cold chain facility for the transportation of fish. Over three-fourths (77%; n = 120) of the consumers preferred consuming raw fish; 80% of them lacked the knowledge of fishborne diseases. The study revealed a wide range of unhygienic handling practices along fish production and supply chain; lack of infrastructure for post-harvest fish handling and processing, lack of appropriate transportation facilities and presence of knowledge gaps regarding fish borne diseases.Entities:
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Year: 2022 PMID: 35977962 PMCID: PMC9385613 DOI: 10.1038/s41598-022-17671-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Gender and age distribution of respondents along fish production and supply chain in three towns of east Shewa zone of Oromia, Ethiopia.
| Respondent category | Gender (number) | Mean Age (years) | Number (%) of respondents by town | |||
|---|---|---|---|---|---|---|
| Male | Female | Bishoftu | Koka | Batu | ||
| Fishermen (n = 50) | 50 | – | 34.4 | 30 (60) | 10 (20) | 10 (20) |
| Fish retailers (n = 10) | 7 | 3 | 33.8 | 1 (10) | 1 (10) | 8 (80) |
| Food establishment workers (n = 20) | 1414 | 66 | 3939 | 7 (35) | 6 (30) | 7 (35) |
| Consumers (n = 120) | 109 | 11 | 31.8 | 40 (33.3) | 40(33.3) | 40(33.3) |
Figure 1Conceptual flow diagram showing fish production and supply chain in east Shewa zone of Oromia, Ethiopia.
Fish processing, transportation, and handling practices by the fishermen (n = 50) in east Shewa zone, Oromia.
| Variables | Category | % (number of observations) |
|---|---|---|
| Fish preference of customers | Whole fish | 16 (8) |
| Processed fish | 84 (42) | |
| Catching frequency | Every day | 74 (37) |
| Once per week | 2 (1) | |
| Three times per week | 24 (12) | |
| Where to sale | At the lake shore | 82 (41) |
| At restaurants | 12 (6) | |
| Used for personal consumption | 6 (3) | |
| Where to process | At the lake shore | 88 (44) |
| At home | 12 (6) | |
| Who will process | Fishermen | 88 (44) |
| Other processors | 12 (6) | |
| Fish customers | Consumers | 64 (32) |
| Retailers | 14 (7) | |
| Hotels/restaurants | 16 (8) | |
| Used for personal consumption | 6 (3) | |
| Total | 100 (50) | |
Fish consumption preferences of different categories of the respondents (n = 120).
| Variables | Category | % Consumption preference (Number of observations) | Chi-square, | ||
|---|---|---|---|---|---|
| Raw | Heat treated | No preference | |||
| Study site | Bishoftu (n = 40) | 15 (6) | 40 (16) | 45 (18) | 12.4, 0.015 |
| Koka (n = 40) | 10 (4) | 10 (4) | 80 (32) | ||
| Dambel (n = 40) | 15 (6) | 20 (8) | 65 (26) | ||
| Gender | Male (n = 109) | 14.68 (16) | 18.35 (20) | 66.97 (73) | 16.8, < 0.001 |
| Female (n = 11) | 0.00 (0) | 72.73 (8) | 27.27 (3) | ||
| Education | No formal education (n = 6) | 0.00 (0) | 33.33 (2) | 66.67 (4) | 9.6, 0.291 |
| Adult education (n = 5) | 20 (1) | 40 (2) | 40 (2) | ||
| Primary (n = 63) | 9.52 (6) | 15.87 (10) | 76.60 (47) | ||
| Secondary (n = 41) | 19.51 (8) | 29.27 (12) | 51.22 (21) | ||
| Higher (n = 5) | 20 (1) | 40 (2) | 40 (2) | ||
| Religion | Orthodox (n = 112) | 13.39 (15) | 25 (28) | 61.61 (69) | 2.8, 0.247 |
| Protestant (n = 8) | 12.50 (1) | 0.00 (0) | 87.50 (7) | ||
| Occupation | Bajaj driver (n = 3) | 0.00 (0) | 66.67 (2) | 33.33 (1) | 38.75, 0.347 |
| Cart driver (n = 2) | 0.00 (0) | 50 (1) | 50 (1) | ||
| Daily worker (n = 5) | 0.00 (0) | 20 (1) | 80 (4) | ||
| Farmer (n = 10) | 10 (1) | 20 (2) | 70 (7) | ||
| Fish cooker (n = 8) | 0.00 (0) | 50 (4) | 50 (4) | ||
| Fish retailer (n = 4) | 25 (1) | 25 (1) | 50 (2) | ||
| Fish processor (n = 6) | 33.33 (2) | 16.67 (1) | 50 (3) | ||
| Fish restaurant owner (n = 1) | 0.00 (0) | 100 (1) | 0.00 (0) | ||
| Fish dealer (n = 1) | 0.00 (0) | 0.00 (0) | 100 (1) | ||
| Fishermen (n = 22) | 4.55 (1) | 13.64 (3) | 81.82 (18) | ||
| Hotel owner (n = 3) | 0.00 (0) | 33.33 (1) | 66.67 (2) | ||
| Isuzu driver (n = 1) | 0.00 (0) | 0.00 (0) | 100 (1) | ||
| Public servant (n = 16) | 18.75 (3) | 25 (4) | 56.25 (9) | ||
| Student (n = 4) | 25 (1) | 0.00 (0) | 75 (3) | ||
| Taxi driver (n = 2) | 50 (1) | 50 (1) | 0.00 (0) | ||
| Driver assistant (n = 2) | 0.00 (0) | 50 (1) | 50 (1) | ||
| No fish dealer (n = 13) | 38.46 (5) | 23.08 (3) | 38.46 (5) | ||
| Waiter (n = 10) | 10 (1) | 0.00 (0) | 90 (9) | ||
| Shoe polisher (n = 7) | 0.00 (0) | 28.57 (2) | 71.43 (5) | ||