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Journal of Pharmaceutical Policy and Practice logoLink to Journal of Pharmaceutical Policy and Practice
. 2022 Aug 17;15:49. doi: 10.1186/s40545-022-00446-8

An analysis of COVID-19 information sources

Belachew Umeta 1,✉,#, Temesgen Mulugeta 1,#, Girma Mamo 1, Sintayehu Alemu 1, Nimona Berhanu 1, Gudina Milkessa 2, Birhanu Mengistu 3, Tsegaye Melaku 1
PMCID: PMC9383678  PMID: 35978417

Abstract

Background

The COVID-19 pandemic has brought new situations that require the effective delivery of health information across the world and it’s important to offer clear, consistent, and credible information on the pandemic to mitigate and control the outbreak.

Aim

To assess COVID-19 information source, need and trust among the rural community of southwest Ethiopia.

Methods

A community-based cross-sectional study design was conducted among 634 rural communities of southwest Ethiopia. The data were collected by interviewing individuals from selected households and analyzed by SPSS version 26. A multivariable logistic regression model was used to assess factors affecting information needs.

Results

Radio 484 (76.3%) was mostly used as a source of information for COVID-19, and government 404 (63.7%) and health professionals 345 (57.7%) were trusted. However, only 10 (1.6%) of the participants acquired information from health professionals. Around 395 (62.3%) of the participants needed additional information on COVID-19. Around 230 (58.2%) and 186 (47.1%) of the participants required additional information on cause and sign and symptoms, respectively. Age of < 45 years old (AOR: 2.11, 95% CI: 1.43, 3.12, P < 0.001), and absence of formal education (AOR: 2.00, 95% CI: 1.35, 2.95, P: 0.001) were factors positively affecting the information needs of the participants on COVID-19. Church goers (AOR: 3.24; 95% CI: 2.03, 5.19; P < 0.001), television (AOR: 2.39; 95% CI: 1.63, 3.49; P < 0.001) and social media users (AOR: 4.52; 95% CI: 2.26, 9.04; P < 0.001) as source of information required additional information on COVID-19, and the participants that trusted social media (AOR: 2.52; 95% CI: 1.64, 3.87; P < 0.001) and friends/relatives (AOR: 2.95: 95% CI: 1.51, 5.76; P < 0.001) were also required additional information on COVID-19.

Conclusions

The popular sources of COVID-19-related information were radio and television. The participants trusted the government and health professionals on COVID-19. However, less than 2% of the participants had information from health professionals. The majority of the participants wanted to learn more about COVID-19. The areas the participants required additional information include cause and signs and symptoms. Age, educational status, trust in social media, trust in friends, using the church, television and social media as a source were factors associated with information needs.

Keywords: COVID-19, COVID-19 information source, COVID-19 information gaps, COVID-19 information trust

Background

The COVID-19 pandemic has brought new situations that require the effective delivery of health information across the world. A previous study has indicated that media hype has induced panic and confusion among the public [1]. This is compounded by the misinformation and disinformation circulating on social media during the pandemic. During the pandemic, people place a greater reliance on the government and health officials to handle the issue [2]. It is critical to offer clear, consistent, and credible information on the pandemic to mitigate and control the outbreak [3]. Timeliness and precision, while challenging to achieve and assess, are critical for both the public and the scientific community in reducing and managing the pandemic. [3]

The internet is the most common source of information about the etiologies and treatment models among the general public [4]. According to recent research of 21 countries, the amount of Google searches for "wash hands" increased as the COVID-19 spread slowed [5]. On the other hand, misinformation about COVID-19 has been circulating on the internet, particularly on social media [6, 7]. In addition to the internet, traditional media are also important sources of information during disease outbreaks [8]. However, repeated media exposure to crisis-related information elevates anxiety and stress responses among people [9]. Medical staff and laypeople, such as friends, family members, and coworkers, may also provide information on COVID-19 to the general public. Health practitioners can better educate the public by studying the elements that influence such information sources. By building transparent and effective information-delivery methods, their audience's self-confidence in dealing with the outbreak can be improved [10].

Measures to limit the pandemic have caused economic and social disturbances, with significant increases in unemployment, poverty, and psychological suffering [11, 12]. As a result, authorities face the difficulty of persuading the public that these steps are justified and required in order to avoid a possibly worse disaster. When establishing messaging, designing and implementing risk communication strategies, the way information is formulated, the channels through which it is disseminated, and the population targeted must be taken into account [13].

In today's information era, there are an ever-increasing number of sources for health-related information, and the public has shifted away from relying solely on major news channels and toward other sources of information, such as social media [14, 15]. In the past, mainstream media outlets such as television and newspapers have been important sources of information during infectious disease outbreaks [16, 19].

Ethiopia has been hit by the pandemic when the country's political and security situations are particularly perilous [20]. The government has taken several measures to counter COVID-19. Borders were close, and so were the schools and the nightclubs. Retired and in-training medical personnel were called, and all people entering Ethiopia from abroad were subjected to mandatory quarantine during the pandemic era. Ethiopian Airlines has halted flights to 80 destinations around the world [21]. The accuracy, completeness, and verification of information sources vary, particularly in a highly polarized political climate when antiscientific rhetoric and political bias may underpin reporting by numerous media channels [15].

According to a survey of Jordanian university students (2020), the internet (77.1%) was the most common source of information about COVID-19, including electronic news websites and social media like Twitter, Facebook, YouTube, Instagram, Snapchat, and WhatsApp, followed by mass media (67.6%) like television, newspapers, magazines, and radio, and scientific websites and articles (24.2%). Only 7.00% of the participants got information from friends and relatives [22]. In Taiwan, a Facebook poll found that the internet was the leading source of COVID-19 information for a substantial percentage of users, followed by traditional media, family members, coworkers, friends, formal lessons, and medical personnel [10]. As a result, the current study aims to assess COVID-19 information source, need, and trust among the rural community of Southwest Ethiopia.

Materials and methods

Study design, setting and period

A community-based cross-sectional study design was employed in the rural community of Jimma Zone, Southwest Ethiopia. Jimma town is the capital city of Jimma zone. The town is located 357 km Southwest of Addis Ababa, the capital city of Ethiopia. Currently, the Zone has 22 Woredas and 2 administrative towns. According to the 2007 census, the Zone had a total population of 2,486,155, of which 1,250,527 were men [43]. The total households counted were 521,506. The study was conducted from March–April 2021.

Study population

The participants were selected from households in the Jimma zone. Adults > 18 years old and willing to participate were included. Individuals who were mentally ill and incapable of communicating were excluded.

Sample size and sampling technique

To calculate the sample size, a single population proportion formula (n = Z2P (1 − P)/d2) was used. Where, P = 50% (prevalence of information void in the community) and Z = 1.96 and margin of error 5%. Based on the above assumption, the total sample size was 384. Due to the multistage sampling technique, a design effect of 1.5 was considered. Since the COVID-19 case is new, the community response rate might be reduced, and we consider a non-response rate of 10%. Finally, the total sample size included in the study was 634.

A lottery method was used to select Woredas. A proportional allocation was used to determine the sample size of respondents from each Woredas. Finally, the participants were selected using a systematic random sampling procedure.

Data collection tools and technique

A pretested semi-structured questionnaire was used for the data collection from the selected households. The pretest was conducted on 5% of non-sampled individuals to check the reliability and clarity of the questionnaires. The questionnaire was prepared in English by reviewing different literature [23, 24]. The questionnaires consists of four subsections (sociodemographic characteristics of participants, community information source and trust on COVID-19, community information need on COVID-19 and opinion of community on government preparedness to control the pandemic).

The questionnaire consists of sociodemographic characteristics: sex, age, religion, marital status, occupation, educational status and family size.

Community information source and trust: common source of information on COVID-19 [radio, relatives, church, television, health professionals, internet based sources, mobile texting, megaphone, newspapers, other (please specify)]; who do you trust most on COVID-19 information [government, health professionals, social medias, religious leaders, friends/relatives, traditional healers, don’t know who to trust, No one, other (please specify)].

Community information needs: We asked the participants a question stating “do you need additional information on COVID-19?” and if their response was “yes”, we followed a question “on which area you need additional information [cause, signs and symptoms of the disease, ways to prevent the disease/prevention methods, medical care and treatment options, other (please specify)]?”.

Opinion of community on government preparedness to control the pandemic: In your opinion, do you agree with government preparedness to control the pandemic? In your opinion, do you agree that the closure of schools and workplaces will help to control the pandemic? In your opinion, do you agree with the state of emergency launched by the government to control the pandemic? In your opinion, is the effort of the government to control the pandemic good?

The data collection was conducted by face-to-face interviews by trained data collectors on survey document. The interview lasts from 15 to 25 min. To ensure the anonymity of the data, no unique identifier was included on the survey document and the data collection sheet was coded. During data collection, the data collectors were maintained at least two meters (2 m) distance from the respondents, and the use of a facemask was mandatory.

Data processing and analysis

The data were checked for completeness and consistency before entering into a computer. The data were entered into Epi-data version 3.1 and exported to SPSS version 26 for analysis. Descriptive analysis like frequency, percentage, and means (SD) was calculated. All variables having a P-value of < 0.25 in the univariable logistic regression analysis were entered into multiple variable logistic regressions to identify the predictors. A P-value of < 0.05 was used to declare statistical association.

Results

Sociodemographic characteristics of participants

More than half of the participants 337 (53.2%) were male, and the majority 475 (74.9%) were Muslims. The participants' average age (SD) was 38.58 (16.99). The majority of the participants 524 (82.6%) were married, and roughly 229 (36%) had no formal education. The average family size (SD) was 4.75 (1.83) (Table 1).

Table 1.

Sociodemographic characteristics of participants

Characteristics Frequency (%)
Sex
 Male 337 (53.2)
 Female 297 (46.8)
Age in years (mean ± SD) 38.11 ± 11.34
Religion
 Muslims 475 (74.9)
 Orthodox 117 (18.5)
 Protestant 42 (6.6)
Marital status
 Single 71 (11.2)
 Married 524 (82.6)
 Divorced 10 (1.6)
 Widowed 29 (4.6)
Educational status
 No formal education 229 (36.1)
 Some primary education 163 (25.7)
 Completed primary education 84 (13.2)
 Completed secondary education 59 (9.3)
 Diploma 52 (8.2)
 Bachelors 47 (7.4)
Occupation
 Government 96 (15.10)
 Self employed 190 (30.00)
 Farmers 248 (39.10)
 Othersa 100 (15.8)
Family size (mean ± SD) 4.75 ± 1.83

SD standard deviations

aMerchant, housewife, student, driver, daily labor, religious leader, no work

Community information sources and trust on COVID-19

The community used Radio 484 (76.3%), television 366 (57.7%), church 159 (25.1%), and mobile texting 144 (22.7%) as sources for COVID-19 information (Table 2).

Table 2.

Community information source and trust about COVID-19

Frequency (%)
Common source of information about COVID-19
 Radio 484 (76.3)
 Relatives 143 (22.6)
 Church 159 (25.1)
 Television 366 (57.7)
 Health professionals 10 (1.6)
 Internet based sources 69 (10.9)
 Mobile texting by government 144 (22.7)
 Megaphone 143 (22.6)
 Newspapers 20 (3.2)
Who do you trust on COVID-19 information flow?
 Government 404 (63.7)
 Health professionals 345 (54.4)
 Social medias 148 (23.3)
 Religious leaders 136 (21.5)
 Friends/relatives 66 (10.4)
 Traditional healers 16 (2.5)
 Don’t know who to trust 4 (0.6)
 No one 50 (7.9)

The majority, 404 (63.7%) and 345 (54.4%) of them, trust information delivered by government and health professionals, respectively. Around 148 (23%) of the community trust information delivered through social Medias (Table 2).

Community information needs on COVID-19 in Jimma Zone

The majority of the participants, 395 (62.3%), required additional information on COVID-19. The cause 230 (58.23%) and signs and symptoms 186 (47.09%) were the common areas in which the community required additional information on COVID-19. In addition, the community also required additional information on whether or not COVID-19 was man-made or not, why the disease is serious in pregnant mother, what was the fate of patient after recovery (Table 3).

Table 3.

Community information gaps about COVID-19

Community information gaps on COVID-19 (n = 643) Frequency (%)
Do you need additional information on COVID-19?
 Yes 395 (62.3)
 No 239 (37.7)
On which area you need additional information about COVID-19? (n = 395)b
 Cause 230 (58.2)
 Sign and symptoms 186 (47.1)
 Ways of prevention 176 (44.6)
 Medical care and treatment options 150 (38.0)
 Othersa 9 (2.3)

aIs COVID-19 man-made or not? Why the disease is serious in pregnant mothers? After recovery, what was the fate of patients in the future? How to give homecare to COVID-19 patients? How did it come to our country? About the vaccine? About the variant of the virus? Why does it affect patients with co-morbid conditions? Why awareness creation campaign is stopped?

bPercentage addition might be greater than hundred as more than one answer is possible

Opinion of participants on government preparedness

More than half, 342 (53.9%) and 370 (58.4%) of the participants believed in government preparedness to control the pandemic and agreed that the closure of schools and workplaces would help in controlling the pandemic, respectively. Around 346 (54.6%) of the participants reported launching a state of emergency in the country would help in controlling the pandemic (Table 4).

Table 4.

Participants opinion on government effort and preparedness to control the pandemic

Opinion of participants on government preparedness Frequency (%)
Do you believe in the government preparedness for the control of the pandemic?
 Yes 342 (53.9)
 No 200 (31.5)
 I don’t know 92 (14.5)
Do you agree the closure of school and work place will help to control the pandemic?
 Yes 370 (58.4)
 No 187 (29.5)
 I don’t know 77 (12.1)
Is that good to launch the state of emergency by the government to control the pandemic?
 Yes 346 (54.6)
 No 208 (32.8)
 I don’t know 80 (12.6)
Are you satisfied with government efforts to control the pandemic?
 Yes 339 (53.5)
 No 231 (36.4)
 I don’t know 64 (10.1)

Determinants of information need on COVID-19 in rural community of Southwest Ethiopia

Different sociodemographic factors were associated with information need of the community on COVID-19. Participants younger than 45 years old were 2.22 × in need of additional information on COVID-19 (95% CI: 1.43, 3.12; P ≤ 0.001). In addition, participants who did not have formal education were 2.00 × in need of additional information (95% CI: 1.35, 2.95; P ≤ 0.001) (Table 5).

Table 5.

Sociodemographic characteristics of the participants and the need for COVID-19 related information

Sociodemographic characteristics Information needs COR P-value AOR 95% CI P-value
Yes No
Gender
 Male 217 120 1.21 0.248 1.3 0.93, 1.83 0.131
 Female 178 119 1 1
Age
 < 45 years old 242 101 1.87  < 0.001 2.11 1.43, 3.12  < 0.001#
 ≥ 45 years old 153 138 1 1
Religion
 Muslims 311 164 1.63 0.005 1.64 1.12, 2.39 0.011#
 Othersa 84 75 1 1
Marital status
 Single 53 18 1.90 0.025 1.79 0.99, 3.23 0.052
 Married 342 221 1 1
Educational status
 No formal education 154 75 0.72 0.054 2.00 1.35, 2.95  < 0.001#
 Primary education and above 241 164 1 1
Family size
 < 5 278 150 1.41 0.048 1.34 0.93, 1.92 0.118
 ≥ 5 117 89 1 1

AOR adjusted odds ratio, CI confidence interval, COR crude odds ration

aOrthodox, protestant

#Statistically significant at P-value of < 0.05

Information sources and community’s need for additional information on COVID-19

The community that used places of religious worship as the source was 3.27 times in need of additional information (95% CI: 2.03, 5.19; P < 0.001) on COVID-19. In addition, the community that used Social Media as a source for COVID-19 was also 4.6 times in need of additional information (95% CI: 2.26, 9.04; P < 0.001) on COVID-19 (Table 6).

Table 6.

Information sources and community’s need for additional information on COVID-19

Information sources Information need COR P-value AOR 95% CI P-value
Yes No
Radio
 Yes 318 166 1.82 0.002 1.28 0.85, 1.93 0.239
 No 77 73 1 1
Relatives
 Yes 98 45 1.42 0.082 1.14 0.73, 1.77 0.577
 No 297 194 1 1
Church
 Yes 131 28 3.74  < 0.001 3.24 2.03, 5.19  < 0.001*
 No 264 211 1 1
Television
 Yes 197 169 1 1
 No 198 70 2.43  < 0.001 2.39 1.63, 3.49  < 0.001*
Health professionals
 Yes 9 1 5.55 0.105 3.13 0.34, 29.17 0.316
 No 386 238 1 1
Social media
 Yes 58 11 3.57  < 0.001 4.52 2.26, 9.04  < 0.001*
 No 337 228 1 1
Mobile texting
 Yes 84 60 1 0.264
 No 311 179 1.24
Megaphone
 Yes 94 49 1.21 0.336
 No 301 190 1
Newspaper
 Yes 16 4 2.48 0.108 2.09 0.62, 7.04 0.233
 No 379 235 1 1

Community’s information trust and needs for additional information on COVID-19

The community that trusted social Media had 2.52 times in need of additional information (95% CI: 1.64, 3.87; P < 0.001) on COVID-19. In addition, the community that trusted their relatives/friends was 2.95 times in need of additional information (95% CI: 1.51, 5.76; P 0.002) on COVID-19 (Table 7).

Table 7.

Information trust of the community and the need for additional information on COVID-19

Information trust Information need COR P-value AOR 95% CI P-value
Yes No
Government
 Yes 265 139 1.47 0.024 1.41 1.00, 1.99 0.050
 No 130 100 1 1
Health professional
 Yes 229 116 1.46 0.021 1.38 0.99, 1.94 0.060
 No 166 123 1 1
Social media
 Yes 113 35 2.34  < 0.001 2.52 1.64, 3.87  < 0.001*
 No 282 204 1 1
Religious leaders
 Yes 98 38 1.75 0.009 1.38 0.89. 2.13 0.152
 No 297 201 1 1
Friends/relatives
 Yes 54 12 3.00 0.001 2.95 1.51, 5.76 0.002*
 No 341 227 1 1
Traditional medicine practitioners
 Yes 10 6 1.01 0.987
 No 385 233 1

AOR adjusted odd ratio, CI confidence interval, COR crude odd ration

*Statistically significant at P-value of < 0.05

Discussion

This community-level study was conducted in Southwest Ethiopia to assess community information sources for COVID-19, trust, and need for COVID-19 information. The study identified the community’s most common sources of COVID-19-related information were radio and television. Approximately two-thirds of the community trusted government information. Although only 2% of the community received information from health professionals, more than half of the community trusted them for COVID-19-related information. Most of those who took part said they wanted additional information on COVID-19. The top priority areas for additional information were causes, signs and symptoms, and prevention techniques. Age, religion, educational status, and usage of the church, television, and social media as a source of information, as well as trust in the contents of social media and friends/relatives, were the variables associated with community needs for additional information on COVID-19.

In this study, radio (76.3%) was the predominant source of information for COVID-19 among rural communities. In contrast, a study from Gondar city, Northwest Ethiopia reported that television (67.1%) was the number one source of information for COVID-19 [25]. Similarly, a finding from the residents of Addis Ababa reported that government-owned Media were the primary source of information for COVID-19 [26]. The difference might be related to the type of included participants. However, an online survey from Indonesia reported that social media (Facebook and Instagram) was the first information source for COVID-19 [27]. In Jordan, the internet (77.1%), including electronic news websites, was reported to be the primary source of information on COVID-19 [22]. We might relate the discrepancy between the studies to the age of the participants, the educational status of the participants, setting of the studies, and mode of data collection.

Our findings revealed that the majority (63.7%) of the community had trust in information delivered by the government on COVID-19, and less than one-quarter trusted social media. Similarly, in the US, government information sources were the most trusted among the public, and less than one-third of the participants trusted social media concerning COVID-19 information [28]. This might be related to risk perceptions towards coronavirus being lower when the community trusted the information delivered by the government. The implementation of lockdown measures might also increase trust in the government. Higher compliance rates and reduced death rates may be linked to trust [29]. However, during the Ebola pandemic in Liberia in 2018, a study found that community trust in non-governmental organizations (NGOs) was stronger than in government [30]. People seek information from various resources to update their knowledge and become more prepared in the face of COVID-19 [31]. Our result showed that 62.3% of the rural communities needed additional information about COVID-19. Similarly, 71.1% of health professionals at the University of Gondar Teaching and Referral Hospital have sought information on the COVID-19 pandemic [32]. In the current study, out of the respondents who needed additional information on COVID-19, the frequent area of topics mentioned for additional information was the cause (58.23%), followed by signs and symptoms (47.09%) and prevention methods (44.56%). Similarly, an online survey conducted in Indonesia during the pandemic showed that more than 78% of the respondents sought additional information on how to prevent the virus, and about 65% sought COVID-19 transmission in Indonesia, cause, treatment and symptoms [27]. The higher need for additional information on COVID-19 might indicate the inefficient delivery of information to the population. Regarding the respondents’ opinions on government preparedness, about 54.0% believe in government preparedness to control the pandemic. And a similar percentage of the respondents believed that launching a state of emergency would be good to control the pandemic. A qualitative study from Pakistan reported that training should be organized for communities to ensure better preparedness. Community members also suggested that the government should ensure strict compliance with standard operating procedures (SOPs) through regulatory reforms [33]. This study may be supported by a study conducted in Addis Ababa Ethiopia, the capital city of the country where 70% of service providers have made hand-washing facilities available [26]. Furthermore, our finding indicated that about half (53.5%) of the communities were satisfied with government efforts to control the pandemic. A multicenter study conducted in 14 countries by Chen et al. showed people pay strong attention to the results of their governments’ battle against COVID-19 (number of confirmed cases and deaths per million populations) rather than to what policies they initiate. Country-based comparable findings were reported from Spain (54.0%) and Japan (55.0%). However, relatively higher than the USA (47.0%) and the UK (46.0%) [34]. Similarly, a study conducted in Indonesia reported lower satisfaction of communities with the local government's performances, which include: anticipation, early detection, containment, control and mitigation, and elimination [35].

As per the current study, respondents younger than 45 years were more likely to require additional information about COVID-19. This finding might be related to the fact that these age groups were daily laborers and might not have adequate time to listen, read and participate in community awareness campaign programs organized by the healthcare professionals. Our result also showed that religious individuals were more likely to require additional information about COVID-19. In support of this finding, a study from Northeastern Ethiopia reported that 47.8% of the respondents believed that COVID-19 emerged because of the sin of human beings [36]. Believers conflict with authorities’ warnings that gatherings must be limited to combat the spread of the virus [37]. Moreover, illiterate respondents were more likely to require additional COVID-19 information. A study done in Germany reported there was a significant association between low educational levels and higher perceived COVID-19 severity [38]. This is because sufficient health literacy is an essential prerequisite for finding, understanding, appraising, and applying health recommendations, particularly in a situation where there is a rapid spread of a huge amount of information [39].

Concerning sources of information for COVID-19, our findings identified respondents who obtained COVID-19 related information from religious worship and social media were more likely to require additional information on COVID-19. Similar to these findings, Hsing-YingHo et al. reported that COVID-19-related information from internet/traditional media and friends was associated with higher levels of public worry. In contrast, participants who received information from academic courses had lower past worry and anticipated worry [40]. This might be related to the quantity of information delivered and the credibility of information contained.

In addition, our findings showed that trust in information sources such as social media and friends and relatives was associated with the need for further COVID-19 information. Similarly, Maykrantz et al. reported that worry about contracting COVID-19 is related to trust in formal information sources (government and media), but not too informal ones (interpersonal) [41]. A study conducted in the USA also reported that public trust in social networks (e.g., Facebook and Twitter) was negatively associated with knowledge and adherence to social distancing [28]. This might be related to the huge COVID-19 information circulating on the social media or the internet had not been officially certified by HONcode [42].

Conclusions:- The popular sources of COVID-19-related information were radio and television. The participants trusted the government and health professionals on COVID-19. However, < 2% of the participants had information from health professionals. The majority of the participants wanted to learn more about COVID-19. The areas the participants required additional information include cause and signs and symptoms. Age, religion, educational status, trust in social media, trust in friends, and using the church, television and social media as a source were associated with information needs.

Acknowledgements

The authors would like to acknowledge Jimma University for funding this research work.

Author contributions

BU, TM and TM involved in the design and conception of the study, GM, NB, SA involved in substantially commented and prepared the manuscript, GM, BM, BU, TM and TM involved in the analysis and interpretation of the data. All authors read and approve the manuscript.

Funding

The current work was funded by the Jimma University fund for the COVID-19 special grant. The funder did not have any role in the design and collection, analysis and interpretation of the data and writing the manuscript.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethical approval and consent to participate

The Ethical Review Committee of Jimma University (JU), Institute of Health reviewed the study protocol and approved with ethical number of IRBPGN/934/2020. Informed consent was maintained from the participants after the purpose and methods of the study had been explained in detail. And all of their responses were kept confidential and anonymous.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Belachew Umeta and Temesgen Mulugeta contributed equally

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


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