2.1 Aim: The aim of the study was to determine the knowledge, risk perception and prevention and control practices of ZDs among poultry farmers in the Buea Heath District and to assess the relationship between these factors.
2.2 Study design
The study was a descriptive cross-sectional quantitative study carried out among poultry farmers between April 2021 and July 2021.
2.3 Study setting
This study was carried out in the Buea Health District (BHD) which is made up of seven health areas (HAs) namely: Bokwoango, Bova, Buea road, Buea town, Molyko, Muea, and Tole (Figure 1). These areas represent the rural and semi-urban communities of the City of Buea. Buea is a cosmopolitan city made of about 67 villages with a surface area of 870 Sq.km [19]. It consists of a heterogeneous community with a mixture of urban, semi urban, and rural neighborhoods. Buea is bound to the north by the tropical forest on the slope of Mount Cameroon which extends to the Atlantic Ocean. The town also shares boundaries with other major towns like the City of Limbe to the Southwest, Tiko municipality to the Southeast, Muyuka municipality to the east and Idenau district to the West. The dominant economic activity is agriculture which forms the backbone of the local economy. The inhabitants are engaged in both crop cultivation and livestock rearing, including animals such as chicken, pigs, cows, goats and rabbits.
2.4 Target Population
The target population is made up of all poultry farmers including farm owners and workers in the study area who carry out daily farm procedures within the study period. Participants with a minimum flock size of 100 birds who consented were included in the study. Meanwhile, participants whose farms are located in inaccessible areas were excluded.
2.5 Sample Size Calculation
The sample size for the number of farmers to be enrolled in the study was determined using the formula
Where; Z= 1.96; confidence level; which is 95%; p= 0.25; the proportion gotten from a previous study [21]; q= 1-p; e= 5% or 0.05; which is the level of precision.
Therefore, the estimated minimum sample size for this study was 207.
2.7 Sampling Technique
A multi-stage sampling method was used in this study. Six main feed production sites in Muea, Great Soppo, Bonduma, Bwitingi and Mile 16 (Figure 1) were selected conveniently on the bases of their high turnout of poultry farmers. All the poultry farmers who visited the feed shops during the study area were enrolled in the study. The snowball technique was then used to trace the farmers to their various farms where data was collected.
2.8 Data collection procedure
Data was collected using open-ended and closed-ended questionnaires by well-trained personnel. The questionnaires were structured to reflect the following objectives:
2.8.1 Socio-demographic and farm characteristics
This section comprised of 11 questions reflecting the sociodemographic characteristics of the participants and various farm attributes. The farm characteristics evaluated were farm size, duration of being a poultry farm worker, current size of flock, yearly flock capacity of farm, Number of birds put averagely in year, type of birds in farm, mixed farming, and position of participant in the farm.
2.8.2 Knowledge of zoonotic diseases
To evaluate participants’ knowledge on ZDs, seven questions related to type, symptoms and transmission of ZDs were assessed. Each question had a score of “1” for correct response and “0” for a wrong response. A knowledge score was developed as previously reported [22, 23] based on participants’ responses to the 7 questions. The maximum score for knowledge was 7 and the mean score was 4.87 ± 1.56. Scores above the mean (>4.87) were categorised as “good knowledge” while mean scores and below the mean (≤4.87) were classified as “poor knowledge”.
2.8.3 Risk perception on zoonotic diseases among poultry farmers
A group of 8 questions were used to determine participants’ risk perception on ZDs. These questions were based on participant’s ability to identify their likelihood of exposure to ZDs, their concern of them or their colleagues, clients or family members contracting a ZD and their awareness of biosecurity guidelines in poultry farming. A risk perception score was developed based on participants’ responses as previously reported [22, 23]. The responses were categorized as follows: ability to identify their likelihood of exposure to ZDs (very likely = 3, likely = 2, A little likely =1, Not likely = 0) from various procedure, their level of concerned (“very concern” scored 3, “concerned” scored 2, “a little concerned” scored 1 and “not concerned” scored 0) of them or colleague or clients or family members could contract a ZD and their awareness of biosecurity guidelines in poultry farming (“Yes” scored 1 and “No” scored 0). The maximum score was 15 and the mean score was (6.58±4.39). Scores ≤6.58 were considered “low risk perception” while those >6.58 were considered “high risk perception”.
2.8.4 Infection prevention and control practices in poultry farms
To assess participants’ prevention and control practices, 11 questions were asked. These include aspects on hand hygiene, use of personal protective equipment, actions undertaken when birds are either sick or dying in large numbers, regularity of veterinary visits or control in their farms and action taken on dead birds. A prevention and control practice score was developed based on participant’s response to all the questions, as previously reported [22, 23]. The responses were categorised as follows: frequency of hand hygiene practice and use of PPE (glove, face mask, protective boot, overall) (“Always”=2, “sometimes”=1, “Never”=0); and control measures; correct actions taken when the birds are sick or die in their numbers; visit and control by veterinary technician or doctor (“Yes”=1 and “No”=0) and frequency of their visit and control (“Frequently or more frequently”=1 and “less frequently”=0); what do you do with the dead birds? (“burn and burry”=1 and “eat or sell or throw in the bin or backyard”=0). The maximum score was 13 and the mean score was 6.21±2.67. Prevention/control practice scores were categorised in to “good” when scores are >6.21 or “poor” when scores are ≤6.21.
2.9 Data processing and analysis
Questionnaires were checked for proper completion upon collection from the participants. Questionnaires with > 20% unanswered questions were rejected. Data were summarized in to Microsoft Excel 2016 spreadsheet, exported and analyzed using SPSS version 25. Descriptive and analytic statistics were used to analyze variables with frequencies and proportions predominantly used to described the data. Independent variables were created from the socio-demographic and farm characteristics, knowledge, risk perceptions, and prevention and control practices. To create outcome variables, a unique score card was used for the responses. Each study participant was assigned a score that reflected the stringency of his or her response. To measure responses to these independent factors, the scoring system ranged between: 0 and 7 points for knowledge, 0 and 15 for risk perception and 1 and 13 for infection prevention and control. The score range was further categorized into ‘poor or low’ (≤ mean score) and ‘good or high’ (> mean score) to keep them as binary variables. Associations between the outcome and independent variables were first subjected to univariate analyses using Chi-square tests. All factors found to be statistically significant were subsequently analyzed using multivariate logistic regression models to control for confounding and test for effect modification. P values < 0.05 were considered statistically significant.