| Literature DB >> 35171932 |
Muluwas Amentie Zelka1, Melkamu Senbeta Jimma2, Paulos Jaleta Wondashu2, Atnafu Morka Aldo3, Nigatu Disassa Abshoko4, Dula Ayana Sadi1, Wagari Kelbessa Gibina1.
Abstract
INTRODUCTION: Coronavirus 2019 (COVID- 19) is an acute respiratory viral infectious disease in human being caused by RNA virus that belonged to the family of corona virus. The incidence of this disease was growing exponentially and affects millions of the world population that leads to expose thousands of peoples for death. Thus, this study was targeted to assess the practice of people on COVID-19 infections prevention strategies in the region.Entities:
Mesh:
Year: 2022 PMID: 35171932 PMCID: PMC8849496 DOI: 10.1371/journal.pone.0263572
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio- demographic characteristic of the respondents in Benishangul Gumuz Region, Assosa, Ethiopia 2020.
| Variables | Response category | N |
|---|---|---|
| Place of resident | Urban | 209(50.5%) |
| Rural | 205 (49.5%) | |
| Gender of respondent | Male | 213(51.4%) |
| Female | 201(48.6%) | |
| Age of the respondent | 18–30 years old | 268(64.7%) |
| 31–45 years old | 112(27.1%) | |
| ≥ 46 years old | 34(8.2%) | |
| Religions | Orthodox | 228(55.1%) |
| Muslim | 121(29.2%) | |
| Protestant | 34(8.2%) | |
| Catholic | 8(1.9%) | |
| Traditional belief | 5(1.2%) | |
| Others* | 18(4.3%) | |
| Ethnic group | Berta | 73(17.6%) |
| Amhara | 118(28.5%) | |
| Oromo | 71(17.1%) | |
| Gumuz | 58(14.0%) | |
| Shinasha | 74(17.9%) | |
| Others** | 20(4.8%) | |
| Marital status | Married | 273(65.9%) |
| Single | 115(27.8%) | |
| Divorced | 14(3.4%) | |
| Widowed | 12(2.9%) | |
| Educational status | Unable to read and write | 64(15.5%) |
| Read and write (informal edu.) | 14(3.4%) | |
| Primary school (Grade 1–8) | 135(32.6%) | |
| High school (Grade 1–8) | 95(22.9%) | |
| Diploma (Level I–IV) | 59(14.3%) | |
| First Degree (BSc/BA) | 40(9.7%) | |
| Master degree and above | 7(1.7%) | |
| Occupational status | Farmer | 75(18.1%) |
| Merchant | 114(27.5%) | |
| House wife | 53(12.8%) | |
| Governmental employee | 71(17.1%) | |
| Private employee | 24(5.8%) | |
| Student | 65(15.7%) | |
| Others*** | 12(2.9%) | |
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Source of information and seeking modalities on COVID-19 infection in Benishangul Gumuz Region, Ethiopia, 2020.
| Responses of the respondents | Frequency | Percent | |
|---|---|---|---|
| Have you heard about COVID– 19 disease | Yes | 410 | 99.0 |
| No | 4 | 1.0 | |
| Source of information | Television (TV) | 278 | 67.1 |
| Radio | 195 | 47.1 | |
| Friends/peer/Neighbors | 65 | 15.7 | |
| Health workers | 173 | 41.8 | |
| Community and religious leaders | 82 | 19.8 | |
| Internet and social media | 69 | 16.7 | |
| Others | 3 | 0.7 | |
| Which source do you trust | Television | 266 | 64.3 |
| Radio | 166 | 40.1 | |
| Friend/peers/neighbors | 19 | 4.6 | |
| Health workers | 154 | 37.2 | |
| Community and religious leader | 47 | 11.4 | |
| Internet and social media | 22 | 5.3 | |
| Others | 4 | 1.0 | |
| Do you know call center service number in the region | Yes | 55 | 13.3 |
| No | 359 | 86.7 | |
| The region call center service number to seek information about | 6016 | 36 | 8.7 |
| 8335 | 12 | 2.9 | |
| 8035 | 2 | 0.5 | |
| 444 | 2 | 0.5 | |
| 806 | 1 | 0.2 | |
| 5663 | 1 | 0.2 | |
| 8535 | 1 | 0.2 | |
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Practice of people on COVID– 19 prevention strategies in Benishangul Gumuz Region, Assosa, Ethiopia, 2020.
| Measurement indicators | Responses | Number | Percent |
|---|---|---|---|
| Do you wash hands frequently with soap and water to kills the virus that causes COVID-19? | Yes | 334 | 80.7 |
| No | 80 | 19.3 | |
| Do you wash hands frequently with alcohol-based hand rub kill the virus that causes COVID-19? | Yes | 285 | 68.8 |
| No | 129 | 31.2 | |
| Do you maintain social/physical distance at least 2 meters that can prevent risk of infection with COVID-19? | Yes | 307 | 74.2 |
| No | 107 | 25.8 | |
| Do you avoid touching eyes, nose and mouth prevent infection with COVID-19? | Yes | 318 | 76.8 |
| No | 96 | 23.2 | |
| Do you cover your cough/sneezing using the bend of your elbow or a tissue prevent spread of COVID-19? | Yes | 290 | 70.0 |
| No | 124 | 30.0 | |
| Do you avoid crowed places and close contact with anyone prevent risk of infection with COVID-19? | Yes | 311 | 75.1 |
| No | 103 | 24.9 | |
| Do you stay at home help to prevent infections with COVID-19? | Yes | 260 | 62.8 |
| No | 154 | 37.2 | |
| Do you accept/practice that isolation and treatment of people who are infected with the COVID-19 are effective ways to reduce the spread of the virus | Yes | 308 | 74.4 |
| No | 106 | 25.6 | |
| Do you follow advice given by your healthcare provider can reduce the chance of acquiring COVID-19 | Yes | 342 | 82.6 |
| No | 72 | 17.4 | |
| Do you follow recommended hand washing practices to prevent myself from COVID-19? | Yes | 293 | 70.8 |
| No | 121 | 29.2 | |
| Do you have the resource to wash your hands frequently with water and soup to prevent yourself from COVID-19? | Yes | 326 | 78.7 |
| No | 88 | 21.3 | |
| Do you protect yourself from crowed places and close contact with anyone to protect yourself from COVID-19? | Yes | 274 | 66.2 |
| No | 140 | 33.8 | |
| Do you wear a nose mask when you go out during the COVID-19 pandemic? | Yes | 216 | 52.2 |
| No | 198 | 47.8 | |
| Do you carry sanitizer during the COVID-19 pandemic? | Yes | 164 | 39.6 |
| No | 250 | 60.4 | |
| Do you support if lockdown imposed in Ethiopia to control COVID-19? | Yes | 210 | 50.7 |
| No | 204 | 50.7 | |
| Ethiopians greets each other by handshake followed by shoulder hit for man, cheeks touch for women, do you prefer this way of greetings in this COVID-19 pandemic? | Yes | 156 | 37.7 |
| No | 258 | 62.3 | |
| Do you limit your movement during the COVID– 19 pandemics? | Yes | 285 | 68.8 |
| No | 129 | 31.2 | |
| Do you have close intimation with domestic animals? | Yes | 117 | 28.3 |
| No | 297 | 71.7 | |
| The way of managing domestic animals? | Intensive | 135 | 51.3 |
| Semi- intensive | 43 | 46.3 | |
| Extensive | 85 | 32.3 | |
| Do you practice hand washing before handling/feeding the animals | Yes | 128 | 41.4 |
| No | 181 | 58.6 | |
| Do you practice hand washing after handling/feeding the animals | Yes | 139 | 47.4 |
| No | 154 | 52.6 | |
| Do you use raw animal product for your household consumption? | Yes | 124 | 30.0 |
| No | 290 | 70.0 | |
| If I have symptoms of COVID-19, do you isolate yourself from your family? | Yes | 367 | 88.6 |
| No | 47 | 11.4 | |
| If I have symptoms of COVID-19, do you isolate yourself from your community? | Yes | 368 | 88.9 |
| No | 46 | 11.1 | |
| If I have symptoms of COVID-19, do you report to quarantine site for further investigation and treatment? | Yes | 365 | 88.2 |
| No | 49 | 11.8 | |
| Do you support the traffic blockage and limit the number of travelers in region to control COVID-19? | Yes | 247 | 59.7 |
| No | 167 | 40.3 | |
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* indicates that the overall score of the measurement indicators greater than or equal to mean value.
** indicates that the overall score of the measurement indicators less than mean value.
Parameter coefficients and test of goodness-of-fit of the mixed-effects multilevel models, Benishangul Gumuz Region, Ethiopia 2020.
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| Fixed intercept -cons(95%CI) | Random effect as Level-2 variance var (-cons (95%CI)) | Intra-class Correlation Coefficient: ICC(ρ) | Log likelihood (LR)-deviance | Significance of LR test Vs Logistic regression (P-value) |
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| | 0.6(0.45, 0.72) | 0.05(0.03, 0.12) | 0.217 = 21.7% | - 258.9 | P < 0.01 |
| | 0.64(0.24, 1.04) | 0.05(0.02, 0.11) | 0.238 = 23.8% | - 255.6 | P = 0.02 |
P value less than 0.05 is statistically significant and the data fit for multilevel model.
* Multilevel regression model applied to measure the effect of factors on this outcome.
Multilevel analysis of factors effecting practice of COVID 19 infections prevention strategies, among respondents, Benishangul Gumuz Region, Ethiopia 2020.
| Factors | Practice status | Crude OR (95%CI) | Adjusted OR (95%CI) | |
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| Residents: Urban | 65(31.1) | 144(68.9) | 1 | 1 |
| Rural | 92(44.9) | 113(55.1) |
| 0.29(0.02, 3.69) |
| Origin of place: Regional town | 4(8.0) | 46(92.0) | 1 | 1 |
| District town | 62(38.8) | 98(61.2) |
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| Rural kebele | 91(44.6) | 113(55.4) |
| 0.35(0.02, 5.75) |
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| Religion: Orthodox | 79(34.6) | 149(65.4) | 1 | 1 |
| Muslim | 45(37.2) | 76(62.8) | 0.89(0.57, 1.42) | 0.99(0.58, 1.67) |
| Others | 33(50.8) | 32(49.2) |
| 0.65(0.33, 1.26) |
| Marital status: Married | 99(36.3) | 174(63.7) | 1 | 1 |
| Single | 42(36.5) | 73(63.5) | 0.99(0.63, 1.56) | 0.93(0.53, 1.64) |
| Others | 16(61.5) | 10(38.5) |
| 0.5(0.19, 1.33) |
| Educational status: Illiterate | 37(57.8) | 27(42.2) | 1 | 1 |
| Read and write | 10(71.4) | 4(28.6) | 0.55(0.16, 1.94) |
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| Primary school | 48(35.6) | 87(64.4) |
| 1.26(0.61, 2.59) |
| High school | 32(33.7) | 63(66.3) |
| 1.02(0.43, 2.41) |
| Diploma | 16(27.1) | 43(72.9) |
| 1.79(0.69, 4.67) |
| Degree and above | 14(29.8) | 33(70.2) |
| 1.79(0.23, 5.16) |
| Occupational status: Farmer | 39(52.0) | 36(48.0) | 1 | 1 |
| Merchant | 35(30.7) | 79(69.3) |
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| House wife | 22(41.5) | 31(58.5) | 1.53(0.75, 3.1) | 0.83(0.33, 2.05) |
| Gov’t employee | 23(32.4) | 48(67.6) |
| 0.87(0.36, 2.14) |
| Private employee | 8(33.3) | 16(66.7) | 2.17(0.83, 5.67) | 0.78(0.25, 2.49) |
| Students | 24(36.9) | 41(63.1) | 1.85(0.94, 3.64) | 1.32(0.56, 3.13) |
| Others | 6(50.0) | 6(50.0) | 1.08(0.32, 3.67) | 0.98(0.26, 3.73) |