Abstract
Background
COVID-19 is a global health threat due to its rapid spread and ability to kill millions of people. The majority of pandemic-fighting approaches rely on prevention activities, which can be influenced by a variety of factors. Farmers are more vulnerable to COVID-19, so evaluating existing prevention practices and associated factors is critical to prevent the COVID-19 pandemic.
Objective
To assess COVID-19 prevention practices and associated factors among farmers in peri-urban areas of Northeastern Ethiopia.
Methods
A community-based cross-sectional study design was conducted among 409 selected farmers. Data were collected using face-to-face interviews and on-the-spot-observational checklist. Data were analyzed using bivariable logistic regression model at 95% CI (confidence interval). During the bivariable analysis (crude odds ratio [COR]), varibales having a p-value of less than 0.250 were included into the multivariable analysis (adjsuted odds ratio [AOR]). Factors associated with COVID-19 preventive practices were determined using a multivariable analysis at a p-value of 0.050.
Results
Of 409 participants, 206 (63.6%), 157 (38.4%), and 117 (28.6%) of them had satisfactory knowledge, positive attitude, and good prevention practices about COVID-19, respectively. Age of the farmers with greater than or equal to 45 years (AOR: 3.2; 95% CI: 1.7–6.1), educational status of secondary school and above (AOR: 3.1; 95% CI: 1.4–6.6), and income level of having greater than or equal to 2,001.00 Ethiopian birr (ETB) (AOR: 1.9; 95% CI: 1.1–3.4) were all found to be significantly associated with the COVID-19 prevention practices.
Conclusion
Even though the majority of farmers had satisfactory knowledge, a considerable proportion of them had a negative attitude and poor COVID-19 prevention practices. Age, educational status, and income level are factors associated with COVID-19 prevention practices. Hence, health education should be given to improve the farmers’ knowledge, attitudes and prevention practices to minimize the risk of COVID-19 among farmers in semi-urban areas of northestern Ethiopia.
Keywords: COVID-19, Dawa Chefa District, Peri-urban Areas, Farmers, Northeast Ethiopia
Introduction
COVID-19 is a virus that originated in Wuhan, China, and is more infectious than the Coronavirus that causes Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS).1 Evidence indicate that the virus is carried by birds and mammals, with humans being particularly vulnerable to infection and transmission.2,3 COVID-19 is transferred largely by droplets from infected people coughing, sneezing, or speaking, as well as by touching a contaminated surface and then contacting the eyes, nose, or mouth without washing hands.4,5
COVID-19 manifests itself as cough, fever, malaise, weakness, and shortness of breath. The new virus has sparked widespread alarm around the world because of its great potential for quick spread and the fact that it can be deadly.6,7 COVID-19 in its later stage resulted in respiratory distress syndrome, septic shock, hemorrhage, and coagulation malfunction.8
Hand washing, wearing a face mask, maintaining a safe physical distance, keeping the space ventilated, avoiding crowded areas, covering the nose and mouth while coughing or sneezing, avoiding direct contact with animals and suspected areas of coronavirus infections, and avoiding the intake and handling of raw meat to prevent cross-contamination are among the COVID-19 prevention practices suggested by the World Health Organization (WHO).9
COVID-19 prevention efforts are said to be influenced by group awareness and mindset, according to researchers.10,11 For example, the SARS outbreak in China demonstrated how a lack of information and mindset can make disease prevention more difficult.12 People’s desire to support government attempts to combat the pandemic is also substantially influenced by their level of awareness, and having more knowledge is highly associated to a good attitude regarding COVID-19 prevention methods.13
Despite taking a number of prevention measures, numerous countries, including Ethiopia, are still unable to contain the pandemic. Many African continents, including Ethiopia, are seeing an increase in infection rates. As of March 23, 2021, the WHO reported that more than 120 million individuals had been infected and more than 2.7 million had perished. In Africa, more than 3 million people have been affected. Since March 23, 2021, when the first incidence of COVID-19 was discovered in Ethiopia on March 13, 2020, more than 190,000 people have been infected and over 2500 people have died.14
Effective infection prevention and control practices must be implemented at the global, national, and individual levels to combat the COVID-19 pandemic, which necessitates sufficient knowledge of the etiology, transmission, and various community responses to the pandemic, as well as a positive mindset, to correctly implement the prevention practices.13,15,16 The best example was during the Ebola pandemic, when research on awareness, attitude, and practice (KAP) helped to establish preventive techniques. The data support the theory that a lack of understanding about the diseases contributes to an increase in the number of cases. This means that community awareness, thinking, and prevention activities helps in containing the outbreak and minimizing its impact on public health, social, economic, and political issues.17
Several studies have focused on COVID-19 prevention practices in the general population, healthcare workers, and those with chronic illnesses. However, as per our knowledge, so far no research has been done to determine the prevention practices and related factors among vulnerable populations in peri-urban areas such as farmers, who are the backbone of society in low- and middle-income countries, including Ethiopia. Agriculture provides food through harvesting crops including wheat, sugar cane, rice, and a variety of other crops. Farmers are important for the establishment of a good crop with a fair yield, which they can only supply, thus none of this would be possible without them. The COVID-19 pandemic has had a profound impact on humanity’s lifestyle and activities, including agriculture. Food demand and hence food security are significantly impacted as a result of mobility restrictions, reduced purchasing power, and a disproportionate impact on the most vulnerable population groups. According to the Food and Agriculture Organization, COVID-19 has a substantial impact on agriculture in two areas: food supply and demand. These two factors are inextricably linked to food security.18
As a result, protecting farmer’s health from the COVID-19 pandemic entails enhancing the public’s health. Therefore, this study aimed to assess COVID-19 prevention practices and associated factors among farmers in peri-urban areas of Dawa Chefa District, Northeastern Ethiopia.
Methods
Study Area Description
The study was conducted in the peri-urban areas of Dawa Chefa District, which consists of four Kebeles (the smallest administrative unit in Ethiopia) of Oromia Special Zone in Amhara region, Northeastern Ethiopia. The district is 326 km far from Addis Ababa, the capital city of Ethiopia, to Northern Ethiopia. According to the Central Statistical Agency (CSA), the population projection of Dawa Chefa district was 150,165 populations composed of 74,687 (49.7%) male and the remaining 75,478 (50.3%) female.19 Dawa Chefa District is located at a latitude and longitude of 10°43′N and 39°52′E, respectively. The altitude of the area ranges from 1500 to 2300 meters above sea level. Based on the climatic classification, the area is classified under semiarid climatic conditions. The rainfall distribution of the study area has highly seasonal and temporal variations. The predominant production system in this area is mixed crop-livestock farming in which cattle are the most important livestock species.20
Study Design and Populations
A community-based cross-sectional study design was conducted from January 1 to February 15, 2021. The source populations were all farmers in the peri-urban areas of Dawa Chefa District whose age 18 years and above, whereas the study population was all farmers living in the selected peri-urban Kebeles of Dawa Chefa District.
Sample Size Determination and Sampling Procedure
The sample size was determined using a single population proportion formula.21
 |
Using the assumptions of:
Zα/2 is the standard normal variable value at (1–α) % confidence level (α is 0.05 with 95% CI [confidence interval], Zα/2 = 1.96), p is an estimate of the expected prevention practices for COVID-19 in Dawa Chefa District taken as a good prevention practice of 50.0%. A proportion of 50.0% was considered since there had been no previous study conducted in the study area or other similar setting, and d margin of error (5.0%). Adjusting for a 10% non-response rate, the final sample size was determined to be 422. Of the total four peri-urban Kebeles, two Kebeles were selected randomly. Households with residents aged 18 years and above were selected from each Kebele and study participants were allocated proportionally. A sampling frame was made within households that had at least one resident aged 18 years and above. Households with study participants aged 18 years or above were selected using a systematic sampling technique. When there is more than one eligible participant with the selected household, a simple random sampling technique was used. From the selected household, if there was no eligible study participant during the first visit, another visit was done on the same day or the next day.
Dependent and Independent Variable Measurement
The dependent variable of this study was the prevention practices of COVID-19, measured as good or poor and the independent variables were socio-demographic characteristics, presence of training about COVID-19, source of information about COVID-19, knowledge about COVID-19 (satisfactory or unsatisfactory), and attitude towards COVID-19 (positive or negative). The outcome variable of good or poor prevention practices was measured using 11 close-ended questions having aresponse of “often, sometimes, and never” with ascore of 2, 1, and 0 points, respectively. The total score ranged from 0 to 22. Then, the respondents were classified as having good COVID-19 prevention practices if they had amean score of 80% and above, whereas poor preventive practice for amean score of below 80%.10,22 The independent variables of socio-demographic factors of the study participants and source of information, knowledge, and attitude about COVID-19 were measured by self-reporting of the study participants.
Knowledge about COVID-19
To examine knowledge about COVID-19: 18 close-ended questions were used which had a “Yes, No, and do not know” response. A score of “1” mark was assigned for a correct response and a value of “0” to an incorrect and do not know the response. The total score ranged from 0 to 18. If the respondents correctly answered 80% and above, they classified as having satisfactory knowledge otherwise they classified as having unsatisfactory knowledge.10,16
Attitude towards COVID-19
The attitude of the respondents was assessed using 17 close-ended questions, which had a response of “agree, undecided, and disagree” with a score of 2, 1, and 0, respectively. The total score ranged from 0 to 34. Then, participants were classified as having a positive attitude if they score 80% and above otherwise classified as having a negative attitude towards COVID-19.10,16,22
Data Collection and Data Quality Assurance
A structured close-ended questionnaire was prepared in English language, translated to the local language Amharic, and re-translated back to English. The questionnaire had four parts. Part I contains socio-demographic information of the respondents; Part II contains questions prepared to assess the knowledge about COVID-19. Part III comprises questions designed to assess the attitude towards COVID-19 and Part IV includes questions prepared to assess the prevention practices applied by households. Before the beginning of the actual data collection, the questionnaire was pre-tested on 5% of the sample size. Based on the finding obtained, the necessary correction such as the ordering of the questions, addition of the missed question, removing less important questions, and language editions were done accordingly. The primary investigator gave one-day training for both data collectors and supervisors about the objective of the study, data collection tool, ethical issues and other consideration that has to be clear before the beginning of the actual data collection. The data were collected by five environmental health professionals using face-to-face interviews and observational checklist. During data collection, three master holder public health professionals carried out daily supervision.
Data Processing and Analysis
The data were entered into EpiData version 4.6 and exported to SPSS version 25.0 software for data cleaning and analysis. Descriptive statistics such as frequency and percentage were calculated to examine the overall distribution of the variables. A binary logistic regression model was used to determine the association between the dependent and the independent variables. All the independent variables, which had a p-value of less than 0.250 from the bi-variable analysis, were entered for multivariable analysis. In the multivariable analysis, a p-value of < 0.05 and AOR (adjusted odds ratio) with 95% CI was used to measure associations, and variables with p-value < 0.05 were assumed statistically significant and associated factors of prevention practices against COVID-19 pandemic. The presence of multicollinearity among independent variables was checked using standard error at the cutoff value of 2 and we found that a maximum standard error of 0.380, which indicate no multicollinearity. Model fitness was checked using the Hosmer and Lemeshow test and we found a p-value of 0.485.
Results
Socio-Demographic Characteristics of the Respondents
The survey was completed by 409 of the 422 respondents, for a response rate of 96.9%. Around half 215 (52.6%) of the respondents were female, and more than one-third 135 (33.0%) of them could not read or write. Less than one-third 108 (26.4%) of the respondents, had a monthly income of more than or equal to 2,000.00 ETB (Average exchange rate of United States Dollars (USD) to Ethiopia birr was 39.6237 during the study period), and nearly half 194 (47.4%) of them had a family size of more than five (Table 1).
Table 1.
Socio-Demographic Characteristics of Farmers in Peri-Urban Areas of Dawa Chefa District, Northeastern Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Responses | Frequency (%) |
|---|---|---|
| Sex | Male | 194(47.4) |
| Female | 215(52.6) | |
| Age (years) | 18 to 24 | 126(30.8) |
| 25 to 34 | 97(23.7) | |
| 35 to 44 | 110(26.9) | |
| ≥ 45 | 76(18.6) | |
| Educational status | Cannot read and write | 135(33.0) |
| Can read and write | 157(38.4) | |
| Primary school (1–8 grade) | 60(14.7) | |
| Secondary school (9–12 grade) | 57(13.9) | |
| Marital status | Single | 120(29.3) |
| Married | 243(59.4) | |
| Divorced | 46(11.3) | |
| Religion | Muslim | 258 (63.1) |
| Orthodox | 121(29.6) | |
| Protestant | 30(7.3) | |
| Monthly income level (ETB) | ≤ 499.00 | 158(38.6) |
| 500.00 to 2,000.00 | 143(35.0) | |
| ≥ 2,001.00 | 108(26.4) | |
| Family size | ≤ 5 | 215(52.6) |
| > 5 | 194(47.4) |
Abbreviation: ETB, Ethiopian Birr.
Presence of Training and Source of Information about COVID-19
Of 409 study participants, about half 228 (55.7%) of them received training about COVID-19. About half 199 (48.7%), 108 (26.4%), and 198 (48.4%) of the respondents received information about COVID-19 from their family or friends, social media, and radio or television outlets, respectively (Table 2).
Table 2.
Presence of Training and Source of Information About COVID-19 Among Farmers in Peri-Urban Areas of Dawa Chefa District, Northeastern Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Responses | Frequency (%) |
|---|---|---|
| Presence of training about COVID-19 | Yes | 228(55.7) |
| No | 181(44.3) | |
| Receiving information through family/friends | Yes | 199(48.7) |
| No | 210(51.3) | |
| Receiving information through social media | Yes | 108(26.4) |
| No | 301(73.6) | |
| Receiving information through radio/TV | Yes | 198(48.4) |
| No | 211(51.6) |
Knowledge of the Respondents about COVID-19
The majority 338 (82.6) of respondents were aware of the cause of the COVID-19 pandemic. The majority 354 (86.6%) of respondents said there is no cure for COVID-19, but that supportive care might help them recover, and most 359 (87.8%) of them were aware of the presence of an effective vaccine. The respondents’ average knowledge score was 82.3±9.6%. According to the mean score value, 63.6% of the respondents had satisfactory knowledge about COVID-19 (Table 3).
Table 3.
Knowledge of farmers about COVID-19 in Peri-Urban Areas of Dawa Chefa District, Northeastern Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Responses | |||
|---|---|---|---|---|
| Correct (n[%]) |
Incorrect (n[%]) | |||
| COVID-19 is a bacterial borne diseases | 338(82.6) | 71(17.4) | ||
| Fever is one of the clinical symptoms of COVID-19 | 331(80.9) | 78(19.1) | ||
| Fatigue is one of the clinical symptoms of COVID-19 | 354(86.6) | 55(13.4) | ||
| Dry cough is a common feature of COVID-19 | 355(86.8) | 54(13.2) | ||
| An individual infected/suspected with COVID-19 can show myalgia | 323(79.0) | 86(21.0) | ||
| The disease is more dangerous in people with cancer, diabetes, and chronic respiratory diseases | 351(85.8) | 58(14.2) | ||
| The disease can be transmitted directly through the consumption of uncooked dairy and meat products | 342(83.6) | 67(16.4) | ||
| There is effective vaccine for COVID-19 | 359(87.8) | 50(12.2) | ||
| There is no cure for COVID-19, but supportive treatment helps to recover | 354(86.6) | 55(13.4) | ||
| Eating or contacting animal would result in COVID-19 infection | 346(84.6) | 63(15.4) | ||
| Persons with COVID-19 cannot infect the virus to others when fever is not present | 301(73.6) | 108(26.4) | ||
| The COVID-19 can spreads via respiratory droplets of infected individuals | 346(84.6) | 63(15.4) | ||
| Young adults and children are not responsible to prevent COVID-19, as they are child | 293(71.6) | 116(28.4) | ||
| Avoid going to crowded places can help to reduce exposure to COVID-19 | 336(82.2) | 73(17.8) | ||
| Washing hands regularly using water and soap can help to prevent COVID-19 | 324(79.2) | 85(20.8) | ||
| Physical distancing can reduce the risk of COVID-19 if it is maintained less than two meter | 308(75.3) | 101(24.7) | ||
| The COVID-19 can spreads through touching coins and bankbooks | 334(81.7) | 75(18.3) | ||
| The ideal length of time to wash hands in preventing the spread of COVID-19 is 20 seconds | 338(82.6) | 71(17.4) | ||
| Overall mean knowledge score = 82.3±9.6% | ||||
| Knowledge about COVID-19 | Satisfactory | 63.6% (95%CI: 58.7-67.7) | ||
| Unsatisfactory | 36.4% (95%CI: 32.3-41.3) | |||
The Attitude of the Respondents towards COVID-19
About two-thirds 255 (62.3%) of the respondents agreed that avoiding touching the eyes, nose, and mouth would reduce the risk of exposure to COVID-19. Almost similar percentage 253 (61.9%) of them agreed that coughing and sneezing into the elbow or within the cloth is a good practice to prevent the spread of COVID-19. About three fourth 294 (71.9%) of them agreed that proper mask usage should include covering nose, mouth, and chin and almost similar proportion 291 (71.4%) of them agreed that staying at home play a significant role in preventing the spread of the pandemic. The overall mean attitude score of the respondents was 77.3±9.3%. Nearly two-fifth 38.4% of the respondents had a positive attitude towards COVID-19 (Table 4).
Table 4.
Attitude of Farmers towards COVID-19 in Peri-Urban Areas of Dawa Chefa District Northeastern Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Responses | |||
|---|---|---|---|---|
| Disagree (n[%]) |
Undecided (n[%]) | Agree (n[%]) |
||
| Avoiding placing fingers into the eyes, nose, and mouth would prevent the spread of COVID-19 | 100(24.4) | 54(13.2) | 255(62.4) | |
| Coughing and sneezing into the elbow or within the clothing is a good practice in preventing the spread of COVID-19 | 105(25.7) | 51(12.5) | 253(61.8) | |
| Daily temperature monitoring is useful to prevent the risk of contracting the virus | 117(28.6) | 30(7.3) | 262(64.1) | |
| It is my opinion that early detection of COVID-19 can improve treatment outcome | 132(32.3) | 44(10.7) | 233(57.0) | |
| Strictly following physical distancing measures and avoiding crowded places would limit the spread of COVID-19 | 145(35.4) | 44(10.8) | 220(53.8) | |
| It is my opinion that health education can help prevent COVID-19 | 102(25.0) | 41(10) | 266(65.0) | |
| It is my opinion that COVID-19 is a curable disease | 307(75.0) | 58(14.2) | 44(10.8) | |
| It is my opinion that authorities should quarantine COVID-19 patients in special hospitals | 51(12.5) | 34(8.3) | 324(79.2) | |
| Proper usage of face mask should include covering nose, mouth, and chin | 82(20.0) | 33(8.1) | 294(71.9) | |
| Staying at home would play a significant role in preventing the spread of COVID-19 | 91(22.2) | 26(6.4) | 292(71.4) | |
| I will report to the immediate health institution or call 8335/994 If I suspect myself for COVID-19 | 34(8.3) | 46(11.3) | 329(80.4) | |
| If there is an available vaccine for the virus, I am willing to get it | 36(8.8) | 71(17.4) | 302(73.8) | |
| I usually follow the updates about the spread of the virus in my country | 33(8.0) | 53(13.0) | 323(79.0) | |
| I usually follow the updates about the spread of the virus worldwide | 25(6.1) | 58(14.2) | 326(79.7) | |
| If a lecture about the virus is organized near me, I will attend it | 22(5.4) | 60(14.7) | 327(79.9) | |
| If flyers or brochures that include information about the disease are distributed, I will read them and follow the instructions mentioned in them | 13(3.2) | 64(15.6) | 332(81.2) | |
| If protective measures and equipment are available at an affordable price, I will buy them | 32(7.8) | 61(14.9) | 316(77.3) | |
| Overall mean attitude score (Mean± SD) = 77.3±9.3 | ||||
| Attitude towards COVID-19 | Positive = 38.4% (95%CI: 33.8-43.0) | |||
| Negative = 61.6% (95%CI: 57.0-66.2) | ||||
COVID-19 Prevention Practices of the Respondents
Nearly half 188 (46.0%) of the respondents often went to a crowded place. About two-thirds 253 (61.9%) of the respondents often wash their hands with soap for at least 20 seconds. Almost similar percentages of the respondents use a face mask and avoid kissing and contacting others. About half of them often go to the health institution if they get a fever, headache, and breathing problems. The overall mean practice score of the respondents was 70.6±13.2%. Less than one-third 117 (28.6%) of the respondents had good COVID-19 prevention practices (Table 5).
Table 5.
COVID-19 Prevention Practices Among Farmers in Peri-Urban Areas of Dawa Chefa District Northeastern Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Responses | |||
|---|---|---|---|---|
| Often (n[%]) |
Sometimes (n[%]) |
Never (n[%]) |
||
| Do you go to a crowded place? | 188(46.0) | 62(15.1) | 159(38.9) | |
| To prevent contracting and spreading COVID-19, I avoid consuming outdoor food. | 233(57.0) | 97(23.7) | 79(19.3) | |
| To prevent contracting and spreading COVID-19, I avoid public transportations (taxi, bus … etc.) | 290(70.9) | 60(14.7) | 59(14.4) | |
| Do you wash your hands with soap for at least 20 seconds? | 253(61.8) | 107(26.2) | 49(12.0) | |
| To prevent contracting and spreading COVID-19, I pay more attention to my hygiene than usual | 267(65.3) | 79(19.3) | 63(15.4) | |
| To prevent contracting and spreading COVID-19, I use facemasks | 276(67.5) | 82(20.0) | 51(12.5) | |
| To prevent contracting and spreading COVID-19, I avoid kissing/contacting others | 278(68.0) | 89(21.8) | 42(10.2) | |
| Do you use alcohol-based hand sanitizer, if water is not available? | 267(65.3) | 92(22.5) | 50(12.2) | |
| Do you participate in COVID-19 voluntary service in your community? | 233(57.0) | 84(20.5) | 92(22.5) | |
| Do you go to a health institution, if you get a fever, headache, and breathing problem? | 217(53.1) | 136(33.2) | 56(13.7) | |
| To prevent contracting and spreading COVID-19, I avoid going out of my home. | 198(48.4) | 121(29.6) | 90(22.0) | |
| Overall mean practice score = 70.6±13.2% | ||||
| COVID-19 prevention practices | Good = 28.6% (95% CI: 24.2-33.0) | |||
| Poor = 71.4% (95% CI: 67.0-75.8) | ||||
Factors Affecting COVID-19 Prevention Practices
From the bi-variable analysis, we found that age, educational status, income level, family size, receiving COVID-19 information from family or friends, receiving COVID-19 information from TV or radio, and receiving COVID-19 information from social media were the candidate variables for the multivariable logistic regression analysis. Multivariable logistic regression analysis revealed that respondents’ age, educational level, and monthly income were all significantly associated (p<0.05) with COVID-19 prevention practices. The analysis indicated that respondents aged greater than or equal to 45 years old were 3.2 times more likely to apply good COVID-19 prevention practices compared to those whose ages ranged from 18 to 24 years. Those who completed secondary school were 3.1 times more likely to have good COVID-19 prevention practices than those who cannot read and write. Respondents who had a monthly income greater than or equal to 2,001.00 ETB were 1.9 times more likely to apply better COVID-19 prevention practices than those who had less than or equal to 499.00 ETB (Table 6).
Table 6.
Factors Affecting COVID-19 Prevention Practices Among Farmers in Peri-Urban Areas of Dawa Chefa District, Northeastern, Ethiopia, January 1 to February 15, 2021 (N = 409)
| Variables | Prevention Practices of COVID-19 | COR (95% CI) | AOR (95% CI) | P-value | |
|---|---|---|---|---|---|
| Good (n[%]) | Poor (n[%]) |
||||
| Age | ≤ 0.001* | ||||
| 18–24 | 33(28.2) | 93(31.8) | 1 | ||
| 25–34 | 13(11.1) | 84(28.8) | 0.4 (0.2–0.9) | 0.5 (0.2–0.9) | 0.037 |
| 35–44 | 32(27.4) | 78(26.7) | 1.2(0.7–2.0) | 1.2(0.7–2.3) | 0.527 |
| ≥ 45 | 39(33.3) | 37(12.7) | 3.0(1.6–5.4) | 3.2(1.7–6.1) | ≤ 0.001 |
| Educational status | 0.001* | ||||
| Cannot read and write | 35(29.9) | 100(34.2) | 1 | ||
| Can read and write | 31(26.5) | 126(43.2) | 0.7(0.4–1.2) | 0.7(0.4–1.2) | 0.166 |
| Primary (1–8 grade) | 18(15.4) | 42(14.4)` | 1.2(0.6–2.4) | 1.0 (0.5–2.2) | 0.914 |
| Secondary (9–12) | 33(28.2) | 24(8.2) | 3.9(2.0–7.5) | 3.1(1.4–6.6) | 0.004 |
| Monthly income level (ETB) | 0.008* | ||||
| ≤ 499.00 | 39(33.3) | 119(40.7) | 1 | ||
| 500–2,000.00 | 33(28.2) | 110(37.7) | 0.9(0.5–1.6) | 0.7(0.4–1.3) | 0.319 |
| ≥ 2,001.00 | 45(38.5) | 63(21.6) | 2.2(1.3–3.7) | 1.9(1.1–3.4) | 0.031 |
| Family size | |||||
| ≤ 5 | 68(58.1) | 147(50.3) | 1 | ||
| > 5 | 49(41.9) | 145(49.7) | 0.7 (0.5–1.1) | 1.6(1.1–2.5) | 0.072 |
| Receiving information through family/friends | 0.195 | ||||
| No | 53(45.3) | 157(53.8) | 1 | ||
| Yes | 64(54.7) | 135(46.2) | 0.1(0.5–1.1) | 0.7 (0.5–1.2) | |
| Receiving information through social media | 0.836 | ||||
| No | 81(69.2) | 220(75.3) | 1 | ||
| Yes | 36(30.8) | 72(24.7) | 0.7(0.5–1.2) | 0.9(0.5–1.7) | |
| Receiving information through TV/radio | 0.150 | ||||
| No | 54(46.2) | 157(53.8) | 1 | ||
| Yes | 63(53.8) | 135(46.2) | 0.7(0.5–1.1) | 0.7 (0.4–1.1) | |
Notes: *Significance difference at p < 0.05.
Abbreviation: ETB, Ethiopian Birr.
Discussion
Despite repeated attempts to prevent and control COVID-19, the problem persists, harming the lives and economic progress of millions of people across worldwide, including Ethiopia. Lack of studies to identify the status of COVID-19 prevention practices and assoicated factors in peri-urban areas in northeastern Ethiopia hinders the efforts of the prevention programs towards COVID-19.3
Having sufficient knowledge of COVID-19 is beneficial in gaining a clear understanding of the disease burden, which allows a person to take appropriate prevention practices.22 The current study found that 63.6% (95% CI; 58.7–67.7) of the respondents had satisfactory knowledge, which is almost similar to a study conducted in Africa, which found that 61.6% of the study participants had a satisfactory knowledge.14 The majority of those who took part in this study were aware of the main COVID-19 transmission routes as well as the fact that there is no effective COVID-19 cure. The current figure, however, is lower than that of an Indian survey, which indicated that around 70% of respondents possessed satisfactory knowledge.23 This can be credited to India’s health ministry’s concerted attempts to inform the people about the pandemic’s scope and severity, as well as its transmission, prevention, and control techniques. In addition, the average mean knowledge score of the respondents was 82.3%, which is consistent with a survey conducted in Saudi Arabia,24, and Vietnam,3 where the mean knowledge score of the respondents was found to be 81.6% and 81.7%, respectively. Measures such as mass education and providing training programs for those who are in need should be taken to improve the level of knowledge among respondents. However, the higher result was reported in Pakistan and India where the mean knowledge score of the respondents was 90% and 88.9%, respectively.6,8 A slightly lower results was reported in China in which the overall mean knowledge score of the respondents was 80%.25
People’s attitude affect their decision to do or not do something, and having a positive attitude means that they are eager, capable, and committed to taking various prevention steps to avoid contracting COVID-19 infection. According to the findings, 38.4% (95% CI: 33.8–43.0) of the respondents had a positive attitude towards COVID-19, which was almost a half lower than the study done in Pakistan where 80–90% of the respondents had a positive attitude towards COVID-198 and consistent with the study done in China.11 In addition, the respondents’ overall mean attitude score was 77.3%, which is consistent with the study conducted in India,6 where the mean attitude score of the respondents was 73.3%. The higher result was reported in China25 and Saudi Arabia,24 where the mean attitude score of the respondents is reported to be 85.4% and 94.1% respectively. Without a positive mindset, learning about the transmission and mitigation methods is useless for any interventions aimed at reducing the pandemic’s health and economic effects. As a result, a strategy should be devised to shift the respondent’s thinking and prepare them to correctly implement the numerous prevention measures in order to protect themselves and their families from the risk of COVID-19 exposure.
Due to a shortage of effective treatment procedures and an enough budget to deliver vaccines for all people, especially in poor countries like Ethiopia; more effort is needed to focus on the holistic preventive strategy. In this survey, less than a third, 28.6% (95% CI: 24.2–33.0) of the respondents had a good COVID-19 prevention practice. This figure was lower than the study conducted in Pakistan, where nearly all participants perform the basic prevention practices.8 In Jordan, 87.5% of respondents had good COVID-19 prevention practices, which included hand washing with soap or alcohol, wearing personal protective equipment, and wearing a mask.1
Lower COVID-19 prevention practices found in this study may be attributed to a lack of sufficient public education, community carelessness in implementing various prevention practices, a negative attitude toward the pandemic, and most importantly, the absence of clear legal issues that suggest what to do and what not to do in terms of pandemic control. Furthermore, the respondents’ overall mean practice score was 70.6%, which is lower than a study done in Saudi Arabia, where the respondents’ mean practice score was 86.8%.24 A higher result was also reported in India,6 where the mean practice score of the respondents was 93.0%, and China in which about 90% of the study subjects had a good COVID-19 prevention practices.25 Appropriate preventive initiatives will help to save millions of people’s lives and reduce the cost of medicine and supportive care.
The current study also found that individuals aged 45 and up were 3.2 times more likely to apply good COVID-19 prevention practice than those aged 18 to 24 years (AOR: 3.2; 95% CI; 1.7–6.1). The current result is in line with the research conducted in Egypt, India, Jordan, Bangladesh, Gondar, and Dire Dawa City administration.5,6,9,10,13,26 Because the elderly have a larger chance of contracting and developing complications from the diseases, they used better preventative strategies.15
The survey also found that people with a secondary education or higher were 3.1 times more likely to apply good prevention practices than those who could not read or write (AOR: 3.1; 95% CI: 1.4–6.6). This finding is supported by the study done in Jordan5 and Bangladeshi,16 where higher education is associated with good COVID-19 prevention practices.
Moreover, the study found that respondents having a monthly income of greater than or equal to 2,001.00 ETB were 1.9 times more likely to employ better COVID-19 prevention practices than those who had a monthly income of less than or equal to 499 ETB (AOR: 1.9; 95% CI; 1.1–3.4). The present finding is consistent with the study done in Egypt10 and Bangladeshi,16 where poor income was associated with poor COVID-19 prevention practices. This suggests that a lack of sufficient income to carry out various prevention practices is an obstacle to lowering the risk of infection.15
Conclusion
Even though the majority of farmers had satisfactory knowledge, the survey found that a considerable proportion of them had a negative attitude and poor COVID-19 prevention practices. Age, educational status, and monthly income of the respondents were significantly associated (p<0.05) with COVID-19 prevention practices. As a result, steps should be taken to improve the attitudes, educational status, and income level of the farmers to minimize the risk of COVID-19 exposure. This can be achieved by informing the vulnerable population, which may be at risk of contracting COVID-19, about the pandemic’s seriousness and political, social, economic, and health consequences on a regular and timely basis. For those who cannot afford it, hand sanitizer and a face mask should be given. Vaccines should also be available for the elderly.
Acknowledgment
First, the authors wish to express their gratitude to Wollo University’s College of Medicine and Health Sciences for providing the funds necessary to duplicate the data collection tool. The authors would like to express their gratitude to the Dawa Chefa District Administration for providing the necessary information required to conduct the study. Finally, the authors would like to express their gratitude to the data collectors, supervisors, and participants in the research.
Ethical Consideration
All of the methods used in this study were done following the Helsinki declaration. As a result, ethical clearance was obtained from the ethical review board of Wollo University College of Medicine and Health Science. A formal letter of cooperation was also written to the town administration. Because not all of the study participants were educated, obtaining written consent from them was difficult. As a result, after receiving ethical review board permission, verbal consent was received from study participants. Before starting the interview, the data collector explained the purpose of the study for all the participants, and verbal consent was obtained from the study participants. During data collection, individuals with COVID-19 symptoms were linked to the surrounding health institution for screening and further treatment. All the information obtained from each study participant was kept confidential.
Author's Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis, and interpretation, or in all these areas; took part in drafting, revising, or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Disclosure
The authors report no conflicts of interest in this work.
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