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An Analysis of Various Factors Underlying Covid-19 Prevention Practice and Strategy in Jigjiga Town, Northeast Ethiopia

Authors Marine BT , Mengistie DT

Received 12 October 2023

Accepted for publication 18 January 2024

Published 22 January 2024 Volume 2024:17 Pages 187—206

DOI https://doi.org/10.2147/IDR.S441538

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Héctor Mora-Montes



Buzuneh Tasfa Marine,1 Dagne Tesfaye Mengistie2

1Department of Epidemiology, Faculty of Public Health, Jimma University, Jimma, Ethiopia; 2Department of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia

Correspondence: Buzuneh Tasfa Marine; Dagne Tesfaye Mengistie, Tel +251975646793, Email [email protected]; [email protected]

Background: COVID-19, a severe respiratory illness, is caused by the SARS-CoV-2 virus. The pandemic has devastated public health, economies, and social structures worldwide. In Ethiopia, the government and health authorities have implemented various COVID-19 prevention strategies to contain the spread of the virus. This study aims to investigates the factors influencing the implementation and effectiveness of COVID-19 prevention strategies in Jigjiga Town, Ethiopia.
Methods: A community-based cross-sectional study was conducted from April 2022 to December 2022, involving 593 participants in Jigjiga town. Multi-stage sampling techniques were used, and data was collected using a structured questionnaire covering demographic characteristics, socioeconomic status, attitude, knowledge, prevention practices, misconceptions, and COVID-19 prevention strategies. A multivariate model was developed to control for confounding, using variables suitable for multivariate logistic regression analysis with p-values less than 0.25. A variable is considered significant in multivariable logistic regression analysis if its p-value is less than 0.05.
Results: The study found that only 12.2% of participants used COVID-19 prevention strategies. Those with a bachelor’s degree or higher had a strong association with prevention strategies (AOR: 20.08, 95% CI: 2.13– 188.85). Participants informed about COVID-19 prevention were 6.886 times more likely to use strategies (95% CI: 2.975– 15.938). People who received the COVID-19 vaccine were 1.14 times more likely to engage in reasonable preventive measures compared to those who did not get vaccinated.
Conclusion: The study reveals low COVID-19 prevention practices among participants, with only 12.2% utilizing preventive strategies. The covariate, the kinds of information received on COVID-19 prevention mechanisms, participants with a favorable attitude toward COVID-19, educational level, mask-wearing, social distancing, vaccination, hand hygiene, public health communication, and household income were significantly associated with COVID-19 prevention strategies. The COVID-19 vaccination promotes preventive practices, reduces infection risk, protects against severe illness, and decreases community spread.

Keywords: COVID-19, preventive practice, knowledge, attitude, misconceptions, prevention strategy

Introduction

Background of Study

COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged as one of the most severe respiratory illnesses associated with the 1918 global influenza pandemic. This virus belongs to the coronavirus family and is known to cause upper respiratory tract infections.1 The global impact of the COVID-19 pandemic, initiated by the novel coronavirus SARS-CoV-2, has been profound, posing significant challenges to healthcare systems, economies, and social structures worldwide. Initially identified in late 2019, the virus swiftly spread across continents, leading to the World Health Organization (WHO) declaring it a pandemic in March 2020.2 This unprecedented public health crisis has spurred widespread responses such as lockdowns, travel restrictions, and the rapid development and distribution of vaccines, all aimed at curbing the virus’s spread and lessening its impact on global health and well-being.1,2

The rise of COVID-19 has presented significant obstacles and underscored the significance of global collaboration, scientific advancement, and readiness in public health.3 The outbreak has emphasized the interdependence of the modern world, highlighting the necessity for unified actions to manage the transmission of contagious diseases. As the globe continues to confront the enduring impacts of COVID-19, addressing the pandemic has become a multi-faceted effort, covering medical research, public health measures, economic stability, and societal resilience.1,3 The unparalleled scope and intricacy of the COVID-19 pandemic have transformed how societies approach public health crises, emphasizing the importance of proactive measures, scientific cooperation, and fair access to healthcare resources.4

COVID-19 has been substantial, impacting millions of individuals worldwide and leading to extensive disruptions in healthcare, economies, and societal frameworks. As of August 2021, there have been more than 200 million confirmed cases and over 4 million deaths globally, with these figures continuing to increase.3,5 The pandemic has disproportionately affected marginalized groups, such as the elderly, individuals with underlying health conditions, and those in low-income countries with limited healthcare access.6 Additionally, COVID-19 has brought about significant economic repercussions, resulting in numerous business closures and escalating unemployment rates. The crisis has underscored existing healthcare disparities and inequalities, emphasizing the necessity for fair access to healthcare resources and social support systems.7

The effectiveness of COVID-19 preventive strategies is closely connected to a complex interaction of socio-cultural, economic, and healthcare-related elements. Socio-cultural norms and beliefs significantly influence individual and community behaviors, affecting the adoption of preventive measures such as mask-wearing, social distancing, and hygiene practices.6,7 The availability of healthcare facilities, testing, and medical resources also plays a crucial role, as communities with limited access may encounter difficulties in implementing and following preventive strategies. Additionally, public awareness and education, economic stability, government policies, and vaccine access all impact the success of preventive efforts.8 Recognizing and addressing these multifaceted factors is essential for developing and implementing comprehensive and tailored COVID-19 preventive strategies that effectively cater to different populations’ diverse needs and circumstances.9

Furthermore, ensuring the fair distribution and availability of COVID-19 vaccines is crucial for attaining broad immunity and managing the virus’s spread. Vaccine accessibility and distribution, along with addressing vaccine reluctance and inequalities in global vaccine availability, are pivotal elements in determining the effectiveness of vaccination efforts as a primary preventive measure.10 Government policies and regulations that endorse vaccination initiatives and public health communication strategies that tackle vaccine-related apprehensions are essential in influencing public attitudes and behaviors regarding vaccination.5,8

The World Health Organization has recommended various strategies to prevent the spread of COVID-19. COVID-19 vaccines have been developed to provide immunity against the virus, and vaccination campaigns aim to achieve widespread coverage to establish herd immunity, thereby reducing overall virus transmission within the population.11 Wearing face masks, especially in indoor or crowded settings, effectively prevents the transmission of respiratory droplets that may contain the virus. Masks serve as a barrier, lowering the risk of virus spread from person to person. Regular hand washing with soap and water for at least 20 seconds or using hand sanitizer with at least 60% alcohol helps kill the virus and reduce the risk of transmission through contaminated hands. Social distancing, or maintaining a physical distance from others, typically at least 6 feet, decreases the risk of coming into contact with respiratory droplets containing the virus.7

Before the first case of the COVID-19 pandemic in Ethiopia, the government had already implemented several precautionary strategies. Ethiopia’s federal and regional governments have initiated various policy adjustments in response to COVID-19. These measures include the closure of schools, restrictions on public transportation, limitations on large gatherings, and cancelling sports and religious events.9,11 However, COVID-19 has become normalized, and schools have reopened with specific COVID-19 preventive protocols. In Ethiopia, the effective implementation of COVID-19 preventive strategies has been hindered by several factors. Limited access to healthcare resources, including testing facilities, medical supplies, and healthcare infrastructure, has impeded the country’s ability to implement comprehensive preventive strategies.9 Additionally, the lack of widespread access to vaccines has further complicated the achievement of comprehensive preventive strategy, as vaccination campaigns have encountered significant obstacles in reaching vulnerable populations.12

In Jigjiga Town, the successful implementation of COVID-19 preventive strategies faces various obstacles, such as economic instability and poverty, which make it difficult for people to follow public health guidelines due to challenges in obtaining essential items like masks, hand sanitizers and suitable living conditions that allow for social distancing.12,13 Additionally, a lack of public awareness and education about COVID-19 and preventive measures has added to the difficulties in implementing effective strategies. Misformation and a lack of understanding about the virus and how it spreads have affected community adherence to preventive measures.

Addressing the diverse challenges in Jigjiga Town requires customized approaches that take into account the town’s specific economic, healthcare, and socio-cultural circumstances, as well as concerted efforts to enhance access to resources and education about COVID-19 prevention.7 Therefore, this research examines the existing literature on COVID-19 prevention strategies, public health interventions, and the socio-economic and cultural context of Jigjiga Town. By exploring these aspects, the study offers a comprehensive understanding of the obstacles and prospects for preventing the spread of COVID-19 in Jigjiga Town, Northeast Ethiopia. This study aimed to investigate and comprehend the various factors influencing the implementation and effectiveness of COVID-19 prevention strategies in Jigjiga Town, Ethiopia.

Methods and Materials

Study Area and Period

The study was conducted in the Somali regional state, located in the eastern part of Ethiopia, 635 kilometers from Addis Ababa, the nation’s capital. Jigjiga, the capital of the Somali Region, is an urban center with a diverse population, serving over eight million people in the zones and districts of the Somali regional state and portions of Oromia and Somalia. The selection of Jigjiga Town as the study area was based on its significance as a regional hub and its diverse demographic, cultural and socioeconomic characteristics were likely to influence COVID-19 prevention strategies and measures.

Study Period

The study was conducted over a specific period of time, which is outlined in this section. The study period of this research was conducted between April 2022 and December 2022 for data collection and analysis.

Study Design

A community-based cross-sectional study design was conducted. This study could be a valuable approach to assessing the factors underlying COVID-19 prevention strategies in Jigjiga Town, providing a comprehensive understanding of the community’s knowledge, attitudes, and behaviors related to COVID-19 prevention strategies.

Source Population

Our source population for the study was all Jigjiga town residents aged 18 years and older in Jigjiga Town, Northeast Ethiopia, who are directly involved in or affected by COVID-19 prevention strategies.

Study Population

Our study population was considered to be all 18-year-olds and older from selected households in selected kebeles.

Study Unit

Adults in Selected Households was our study unit.

Variables of the Study

Dependent/Outcome Variable

COVID-19 Preventive Practice.

Independent Variables

Socio-demographic variables like, (Age of participant, Sex of Participants, Marital status of participant, Education level of the participant, Family Size of the participants, Religion of participant, Occupation of the participants and Household’s monthly income in ETB), source of information(Community HW, Family members, Health worker, TV, Radio), Information Exposure(Origin of COVID-19 pandemic, COVID-19 be transmitted from, common symptoms of Covid-19, recommended quarantine period for COVID-19 suspect, can asymptomatic persons with COVID-19 transmit the disease to other people, information about higher risk group/developing sever disease from COVID-19, mode of COVID- transmission and conditions make transmission of COVID −19 be higher), Attitude towards COVID-19 prevention, Knowledge about COVID-19 (about how early detection of COVID-19 helps to prevent disease transmission, about how prevention practices can help to protect from COVID-19, how far one should stand or sit from a person to prevent contracting COVID-19 infection, and about specific treatments that can cure COVID-19 as of today) and COVID-19 preventive strategies were independent variables.

Sampling Size and Strategies

Using the single population proportion formula, the sample size (n) was computed taking into account a 95% confidence interval (CI), a 5% margin of error (d) to optimize the size of the sample, a percentage (P) of 50% (32), and 1.5 of the design impact. The total sample consisted of 634 people after adding the 10% non-response rate.

Where

n = initial sample size, Z = 1.96, the corresponding Z-score for the 95% CI, P = proportion = 50%, d = margin of error = 5% = 0.05.

In order to avoid sampling errors throughout the stage, we used the design effect and the sample size. After considering the design effect (384*1.5 = 576), the response rate was 10% = 576*1.1 = 634, and accordingly, the required sample size was 634.

Sampling Techniques

A multi-stage sampling strategy was used in this study. A multi-stage sampling strategy involves a sequential process of selecting samples in multiple stages, often used when the target population is large and geographically dispersed. This approach allows researchers to efficiently obtain a representative sample by dividing the population into smaller, more manageable subgroups at each stage of sampling. The settlement was first divided into two strata: urban and rural kebeles. A simple random selection method was used to choose 5 kebeles from the total of 17 kebeles in Jigjiga town. Our sample and study units were the list of houses and the people in the chosen household. Each study participant was selected using a systematic selection from a list of houses in each matching kebele after the complete sample was proportionately designated to every kebele with respect to the number of homes in every kebele.

Inclusion and Exclusion Criteria

Inclusion Criteria

Individuals aged 18 years and older.

Residents of Jigjiga town for a minimum of six months.

Willingness to participate in the study and provide informed consent.

Exclusion Criteria

Individuals who are unable to provide informed consent.

Non-residents of Jigjiga town.

Individuals below the age of 18.

Data Collection Procedure

The data collection instrument was adopted and modified to our context after reviewing previously published literature.14 The tool (questionnaire) was translated into Somali, and the English translation of the instrument was then reversed to ensure consistency. The translated questionnaire was pretested on 32 individuals outside of the chosen kebele, and adjustments were made as needed in light of the results. A questionnaire was given away regarding previous understanding, attitudes, and compliance with COVID-19 prevention strategies. Six data collectors and two supervisors received training about the study’s primary goals, data collection tools, collection techniques, and ethical considerations to be respected when choosing participants and data gathering. Primary data was gathered by interviewing participants in chosen families at their homes using pre-written questionnaires. Regular communication between the supervisor and data collectors was maintained throughout the data-collecting process, and checks were made to ensure that all assigned research samples had been addressed. The interviewers were physically separated from the data collectors and required to wear a face mask and use hand sanitizer as safeguards.

Data Processing and Analysis

The data was processed, visually reviewed, entered into Epi-data version 4.6, then exported to SPSS version 23 and Stata version 17 for further statistical analysis. A descriptive analysis was conducted for each independent variable. The frequency and percentage of descriptive variables were presented using tables and figures. Logistic regression is a statistical model used to examine the relationship between a binary dependent variable and one or more independent variables. It is commonly used when the outcome of interest has two possible outcomes.15 The binary logistic regression model assumes that the independent factors and the log odds of the dependent variable are linearly related The log-odds, also known as the logit function, represents the natural logarithm of the odds of the event occurring. By applying an inverse transformation to the log-odds, we can derive the predicted probabilities of the binary outcome. The logistic regression model assumes a linear relationship between the log-odds of the outcome and the predictor variables.16

The data was analyzed using bivariate and multivariate logistic regression to investigate the relationship with the outcome variable, which was preventive practices. Maximum likelihood estimation (MLE) was utilized to estimate the parameters of the logistic regression model, aiming to find the coefficients that maximize the likelihood of observing the given data. Multivariable logistic regression was applied to candidate variables with a p-value of less than 0.25 from the bivariable analysis.15 The independent factors of COVID-19 prevention strategies were identified using multivariable logistic regressions. To ascertain the strength, direction, and statistical significance of the relationship between the dependent and independent variables, the adjusted odds ratio with a 95% confidence interval and the p-value were computed. Variables with a p-value lower than 0.05 were considered significant in the multivariable logistic regression model. The model’s goodness of fit was evaluated using Hosmer Lemeshow’s test, and the results indicated a very good fit, with a p-value of 0.76.16

Operational Definitions

COVID-19: The novel coronavirus, which causes coronavirus disease and discovered in Dec. 2019.

COVID-19 Preventive practice: Practice not going to crowded places, practice not shaking hands, practice wearing a face mask, practice keeping a 2-meter distance, practice staying at home, practice proper and frequent hand washing with soap and water/use of sanitizer, avoid traveling abroad or to risky areas, practice covering mouth and nose while sneezing or coughing, practice avoiding touching infected people, and practice self-isolation if necessary) are the results of a combination of 10 “yes/no” Each item received a score of “1” if the research participant attested to adhering to the measure, or “0” otherwise. The research participants who replied can be regarded as using good COVID-19 preventive methods. The score varied from 0 to 10 by adding replies to the preventative practice’s 10 questions. The Bloom’s cut-off point was used to classify practices into two levels: Adequate practices (≥6-10 score), whereas <6 score were classified as inadequate practices.17

Information Exposure: - It was created using eight COVID-19 composite question variables. When the research participants were asked if they learned such facts or not, their answers suggested “Yes” if they had been exposed to knowledge regarding COVID-19 and “No” if they had not. A good degree of information exposure to COVID-19 was deemed to exist in individuals who scored above the median on the information exposure assessment questions, and a poor level of information exposure was deemed to exist in those who scored below the median.18

Knowledge: Knowledge of the participant generated from a combination of variables in the knowledge question (early detection of COVID-19 helps to prevent the disease’s spread, prevention practices can help to protect from COVID-19, how far one should stand or sit from a person to avoid contracting an infection from COVID-19, and specific treatments that can currently treat COVID-19). Participants were classified as having “good knowledge” and “poor knowledge” according to their responses to the four COVID-19 knowledge questions, which had a median score of three or above (>3 scores).18

Attitude: Positive and negative attitudes were used to create a dummy variable called attitude. For each question, the respondents who chose to strongly disagree, disagree, or remain neutral were grouped together and given the label “negative attitude”, whereas the respondents who chose to agree or strongly agree received the label “positive attitude”. Participants who replied with median and above scores (>5 scores) on the attitude questions concerning COVID-19 and its preventative measures were categorized as having a “favorable attitude.” Overall, attitude was obtained using the dummy variables created from the Likert scale items. If not, it is classified as having “unfavorable attitudes”.19

Results

Sociodemographic Characteristics of the Participants

The study included 592 participants, yielding a 93.4% response rate. Of the total participants, more than half (56.8%) of them were in the age group of 18–28 years. Out of the total study participants, 40.5% were male and 59.5% were female. The majority (71.6%) of study participants were married. And nearly three-quarters (74.5%) of households had fewer than five family members. Out of the total study participants, nearly one-third (32.8%) of participants’ education status was at the diploma level. Almost half of the total study participants (49.8%) were Muslims, followed by 39.7% of Orthodox, as presented in Table 1.

Table 1 Socio-Demographic Characteristics of the Participants “COVID-19 Preventive Practice and Its’ Associated Factors in Jigjiga Town, Northeast Ethiopia”

COVID-19 Prevention Practice

The study findings showed that good preventive practice was 12.2% and that COVID-19 preventive practice was very low. Of the prevention measures, 338 (57.1%) respondents confirmed that they are willing to isolate themselves if they become infected with COVID-19. Among the prevention measures, avoiding touching infected people, frequently hand washing with soap, and avoiding hand shaking were practiced by less than one-fourth of the respondents (23.3%), (23.5%), and 126 (21.3%), respectively. Less than one participant in ten adhered to our study’s findings, which included keeping a 2 m distance, using a face mask, and avoiding crowded areas (Figure 1). According to our study findings, keeping a 2 m distance, wearing a face mask, and avoiding going to crowded places were done by less than one out of ten participants, as presented in Figure 1.

Figure 1 Level of COVID-19 preventive practice of Jigjiga town, Northeast Ethiopia.

Among the prevention measures, more than one third 227 (38.3%) of the study participants scored 3 points among the listed COVID-19 prevention measures, the prevention practices as showed Figure 2 below.

Figure 2 Frequency of level COVID-19 preventive practice in Jigjiga town, Northeast Ethiopia.

Information Exposure for COVID-19 Prevention

The majority of study participants, 443 (74.8%), had good exposure levels to information about COVID-19, and among that information, participants had exposure to information about the location of the first case 480 (81.1%), the source of COVID-19 transmission 524 (88.5%), and asymptomatic transmission 508 (85.8%), as well as high-risk groups for COVID-19 (537, 90.7%). Of the study participants, all (100%) had ever heard about the new coronavirus disease (COVID-19). More than half (331, 55.9%) of the study participants get information from television, followed by radio and health workers, 112 (18.9%) and 107 (18.1%), respectively, as presented in Figure 3.

Figure 3 COVID-19 sources of information of the participants, “COVID-19 preventive practice and its’ associated factors in Jigjiga town, Northeast Ethiopia”.

COVID-19 Prevention Strategy

Based on the “Table 2” result, of the total 592 respondents, 240 (40.5%) regularly wore a mask when in public places or interacting with others outside their household, while 352 (59.5%) did not regularly wear a mask when in public places or interacting with others outside your household. Most of the respondents (322, or 54.4%) practice social distancing by maintaining at least 1 meter or 6 feet of distance from others in public settings, and the rest (270, or 45.6%) practice social distancing by maintaining at least 1 meter or 6 feet of distance from others in public settings. Maintaining social distancing in public transport, grocery stores and markets, and workplace situations is difficult. People can be asymptomatic and spread the virus without knowing they are sick, making it especially important to remain 6 feet away from others, whether inside or outside. Plus, the more people you interact with at a gathering and the longer you spend interacting with each, the higher your risk of becoming infected with the virus by someone who has it.

Table 2 COVID-19 Prevention Strategy in Jigjiga Town, Northeast Ethiopia

Among 592 respondents, most (270, or 45.6%) frequently wash their hands with soap and water for at least 20 seconds, while 52 (8.8%) rarely wash their hands with soap and water for at least 20 seconds. Most of the respondents have a good stay at-home, 402 (67.9%), while 352 (59.5%) of the respondents wear masks well, and 342 (57.8%) of the respondents do not take vaccinations. Although some people have some mobility, they still make fewer efforts to protect themselves from the spread of the virus. And most do not use masks because the condition is very hot. Wearing a mask that covers your mouth and nose can prevent those who have COVID-19 from spreading the virus to others. Recent evidence suggests that masks may even benefit the wearer, offering some level of protection against infections.

They used to wash their hands and stay at home. Nevertheless, the level of exposure to COVID-19 is still high. From this study, one of the problems with the spread of the virus is that people find it very difficult to avoid crowds when they have to leave their homes and carry out daily activities such as work. This condition will increase the potential risk of COVID-19 spreading in the community of Jigjiga City. 260 (43.9%) of the respondents sought information about COVID-19 prevention strategies from reliable sources (eg, government websites, WHO, and CDC). However, most of the respondents (332, or 56.1%) have less information about COVID-19 prevention strategies from reliable sources (eg, government websites, WHO, and CDC), as presented in Table 2 below.

Knowledge of Study Participants

Nearly sixty-five percent of participants were classified as having a strong understanding of COVID-19 when they answered knowledge questions with a median and above score (>3 scores); this amounted to 383 individuals (64.5%), as shown in Table 3.

Table 3 Knowledge About COVID-19 of the Study Participants, “COVID-19 Preventive Practice and Its’ Associated Factors in Jigjiga Town, Northeast Ethiopia”

Attitude of Study Participants

320 individuals in our survey, or 54.1%, felt that COVID-19 would ultimately be successfully managed. Nearly half of the study participants, 320 (54.1%), think that Ethiopia can successfully control the COVID-19 pandemic. The majority of study participants (>90%) had a positive attitude toward prevention methods (like hand washing, keeping distance, and avoiding touching the mouth and nose prior to cleaning hands). Overall, our findings indicate that 397 respondents (67.5%) had a good opinion of COVID-19, as presented in Table 4.

Table 4 Attitude Towards COVID-19 Prevention Practice of the Study Participants of COVID-19 Preventive Practice and Its’ Associated Factors in Jigjiga Town, Northeast Ethiopia

Risk Perception of Study Participants

According to the study findings, 245 (41.4%) of the study participants agreed that older people are at higher risk of contracting COVID-19. Of the study participants, 532 (89.9%) perceived the dangerousness of COVID-19 and were worried about it, as presented in Figure 4.

Figure 4 Risk Perception Study participants of COVID-19 preventive practice and its’ associated factors in Jigjiga Town, Northeast Ethiopia.

Misconception About COVID-19

Eighty-four and a half percent (84.2%) of the pupils said Dessie City could contain the disease. 27.6% of the students said drinking lots of water and consuming garlic or mitmita (a spicy pepper) would help prevent coronavirus illness, as shown in Table 5 below.

Table 5 Misconceptions About COVID-19 of the Study Participants, “COVID-19 Preventive Practice and Its’ Associated Factors in Jigjiga Town, Northeast Ethiopia”

Factors Associated with COVID-19 Prevention Practices

Univariate and Bivariate Logistic Regression Analysis

For each factor related to sociodemographic data, information exposures, knowledge, attitude, risk perception, and misperception regarding COVID-19, bivariate logistic regression analysis was used to select candidate variables for multivariable logistic regression. Six variables with bivariate logistic regression p-values less than 0.25 were fitted to the multivariable model to limit the confounding impact and be eligible for multivariable logistic regression analysis. These factors included participant knowledge, COVID-19 preventive attitudes, sex, educational attainment, and household income (Table 6).

Table 6 Bivariate Analysis of Factors Associated with COVID-19 Preventive Practice in Jigjiga Town, East Ethiopia

Multivariable Logistic Regression Analysis

In multivariable logistic regression, the kinds of information received on COVID-19 prevention mechanisms, participants with a favorable attitude toward COVID-19, prevention participants’ educational level, mask-wearing, social distancing, vaccination, hand hygiene, public health communication, and household income were significantly associated with COVID-19 prevention strategies. The results of Table 6 showed that participants who reported wearing masks had significantly better COVID-19 preventive practices than those who did not. The adjusted odds ratio (AOR) of 1.54 indicates that participants who wore masks were 1.54 times more likely to engage in good preventive practices. Similarly, participants who practiced social distancing had significantly better preventive practices than those who did not. The AOR of 3.54 suggests that participants who practiced social distancing were 3.54 times more likely to have good COVID-19 preventive practices.

Furthermore, participants who had received the COVID-19 vaccine also had significantly more preventive practices than those who were not vaccinated. The AOR of 1.14 indicates that vaccinated participants were 1.14 times more likely to engage in good preventive practices. Additionally, participants who practiced good hand hygiene had significantly better preventive practices t than those who did not, with an AOR indicating that they were 2.54 times more likely to have good preventive practices. The participants who received information on COVID-19 prevention mechanisms were [AOR: 6.886; 95% CI (2.975–15.938)], the participants with a favorable attitude were [AOR: 2.535; 95% CI (1.403–4.581)], the participants with a bachelor’s degree or higher education level were [AOR: 20.08; 95% CI (2.13–188.85)], the participants with mask-wearing were [AOR: 1.54; 95% CI (2.40–3.58)], the participant with keeping Social distancing was [AOR: 3.54; 95% CI: 2.60–5.58], and public health communication was [AOR: 3.26; 95% CI: 2.30–5.98]. Stay-at-home [AOR: 4.14; 95% CI: 3.41–7.80] and participants from households with higher income (very high ETB per month) [AOR: 2.98; 95% CI: 1.04–8.52] had been significantly associated with COVID-19 prevention practice (Table 7).

Table 7 Multivariable Analysis of Factors Independently Associated with COVID-19 Preventive Practice in Jigjiga Town, Northeast Ethiopia

Discussion

This study’s goals were to determine the extent to which Jigjiga Town inhabitants practice COVID-19 prevention and to pinpoint the variables that affect it. The worldwide epidemic continues to raise worries about worldwide public health. The only way to prevent the COVID-19 pandemic from spreading is to follow the advised preventive measures, as no successful solution is currently available. Adherence to COVID-19 prevention strategies, such as educating the public about the illness’s characteristics and mode of transmission, avoiding crowded areas, keeping a physical distance, washing hands, and donning face masks, is essential and reveals regional differences.12,20

From the moment they learned about COVID-19, all research participants reacted, according to the study’s findings. More than half (56%) of the interviewees cited television as their information source. 58.4% of the study’s total participants had an excellent level of expertise. This outcome was less favorable than studies conducted in China (90%), Nigeria (99.5%), and Sudan (78.2%) (34, 39, 40). However, it is nearly identical to the results of a study done in two dual-national African nations, Egypt and Nigeria, which revealed that 61.6% of participants had a decent degree of understanding of COVID-19 preventative measures.21

Our study indicates that 67.1% of survey participants expressed favorable attitudes concerning COVID-19 preventative interventions., compared to a different study, it was greater, and to a different study, it was greater and more significant than the one done in Dirashe, Southern Ethiopia, at 54.6%.20 The research’s findings (68.9%) are consistent with those of a binational study done in Egypt and Nigeria.22

Only 12.2% of research participants had outstanding preventive habits, as our study’s COVID-19 prevention evaluation determined. The results were less significant than those of studies conducted in Uganda (495, 29%), Northwest Ethiopia (52.7%), and Ethiopia’s North Shoa zone (44.1%) (27–29). However, the study’s findings were higher than those of the study conducted in Oromia regional state, where the level of adherence to COVID-19 preventive measures was 8.3%.23

Our findings were consistent with a study conducted in Dirashe, Southern Ethiopia, in which 12.2% of participants adhered to the COVID-19 prevention protocol.24 The possible explanation for this discrepancy is the study period. Previous studies were conducted at the start of the pandemic’s emergence, and regardless of their knowledge or attitude, the majority of people were taking preventive measures at the time. Currently, there is a wealth of information pertaining to COVID-19, but the majority of it has not been properly implemented. In addition, the occurrence of morbidity and mortality due to COVID-19 were decreasing post-initiation of COVID-19 vaccines, which can be a reason for the reluctance seen in the community.12,25

In terms of preventive measures mitigation towards COVID-19 prevention protocols for each of the 10 study variables, the practice of the study participants towards not going to crowded places as a prevention measure was the least commonly used method of mitigating the spread of COVID-19 infection in the study area. 7.3% of research participants avoided congested regions, which is smaller than studies on KAP conducted among visitors to Jigjiga University Medical Center in Northeast Ethiopia (33.1%), Egypt (87.1%), and the northwest region of Ethiopia (40.55%). Living conditions in the local communities, local religious practices (such as a culture of fellowship when visiting religious institutions), and a lower level of COVID-19 dissemination than when the study was done are some of the probable factors.24

Avoiding handshaking (21.3%) is also less common than visits to the Jigjiga University health center, among whom an investigation was conducted on understanding, mindsets, and preventative actions (53.8%).5,12 Among the 10 study’s mitigation approaches, participants indicated self-isolation practice (57.1%) was the most frequently used preventative technique. Overall, the COVID-19 preventative technique has been low (7.3–57.1%), which may be related to the COVID-19 distribution level as it is today and fatigue-associated ignorance.24

The study’s findings indicated that the participants’ views regarding COVID-19 prevention, their level of education, their understanding of COVID-19 prevention techniques, and their household’s financial situation all significantly contributed to how frequently they committed to COVID-19 preventive measures. As a result, people with bachelor’s degrees or higher levels of education were 20 times more likely than those with lower educational levels to employ COVID-19 preventative techniques.26

Compared to participants’ families with lesser incomes, households with a monthly salary of more than 4000.00 ET birr every month were more than three times more likely to pay attention to COVID-19 prevention strategies. Vaccination has been a worldwide effort that has proven to be crucial in preventing disease. There has been a global effort to develop vaccines during the pandemic. Several platforms have been used, with the most popular being mRNA, inactivated virus, and subunit.23–25 The efficacy rates of these vaccines have been impressive, particularly in preventing severe disease. However, waning immunity has been a concern, with booster dosages developed to prevent disease further. As new strains arise, existing vaccine efficacy comes into question, as does the need for newer vaccines. The dissemination of infection has been prevented by using vigorous national control measures, such as country border restrictions, proactive case identification using electronic contact tracing, quarantine of suspicious and confirmed cases, enhancing hygiene and sanitation, mandatory masking, social distancing, healthcare resource allocation, and efforts in reassurance and education of citizens.7,22 However, a second-wave outbreak of the COVID-19 pandemic has emerged in North Taiwan since May 14, 2021, and has spread into other regions of the country.

The result of this study was that a sizeable proportion of the rural population does not have access to the media platforms used to publicize COVID-19 prevention measures. Moreover, without aggressive interventions, current levels of access to water and soap are suboptimal to adopt the hand-washing recommendations, particularly in rural areas. The low proportion of households with electricity, refrigeration, or internet connection and the relatively high prevalence of partner violence suggest that implementing the stay-at-home and work-from-home measures will be challenging. Public health measures that slow down the transmission of the virus should be continued, and efforts to prevent transmission to rural areas should be prioritized. Communication platforms and messaging must be adapted to different local realities to make any COVID-19 containment recommendations operational. WASH-related support should be ramped up, and addressing barriers to staying at home, such as the risk of partner violence, should be considered. The efforts needed to end the current pandemic in Ethiopia and similar pandemics in the future illuminate the serious challenges related to WASH and the inequalities between rural and urban areas that need urgent attention.5,22

The individuals who learned about COVID-19 preventive strategies showed an almost seven-times (AOR: 6.89) higher likelihood of adhering to these strategies than the other participants, and they also had greater COVID-19 prevention strategy knowledge.27 Participants’ attitudes toward COVID-19 prevention were strongly related to their commitment to COVID-19 preventative measures, with favorable opinions almost three times (AOR: 2.54) more likely than negative attitudes to have greater adherence. The findings of the current investigation were consistent with those of a study carried out in Northwest Ethiopia (AOR: 2.54; 95% CI (1.79, 3.60)).28

The coronavirus pandemic also had a major effect on the sporting calendar as countries tried to restrict mass rallies. In addition to the shutdown, large-scale testing is also important because this virus, in some conditions, may not show symptoms in people but may make this person a large-scale transmitter of this virus.5,9,22 With this, the countries were also focused on creating and transforming different places like banquet halls, stadiums, school buildings, and even big ships, especially in the US, into large quarantine centers to provide sufficient beds to each citizen. If the quarantine centers and hospitals run parallelly, the situation of increasing rates of patients infected will also increase as the patients who are already in the hospital or in other healthcare centers due to their health issues other than corona are already have weak immune systems, which will make them easy prey for the coronavirus to attack. So, these are needed to be separated in support of the other strategies.26

Conclusions

The majority of study participants received enough information on COVID-19. Nearly 65% of participants demonstrated that they comprehended COVID-19 in full. The study’s conclusions showed that the mass media (television and radio) and medical authorities were the greatest resources for spreading knowledge about the COVID-19 epidemic. The covariate, the kinds of information received on COVID-19 prevention mechanisms, participants with a favorable attitude toward COVID-19, prevention participants’ educational level, mask-wearing, social distancing, vaccination, hand hygiene, public health communication, and household income were significantly associated with COVID-19 prevention strategies. Participants who reported wearing masks had better preventive practices than those who did not. The adjusted odds ratio (AOR) indicates that mask-wearing was significantly associated with good preventive practices, with an AOR of 1.54. Participants who practiced social distancing had better COVID-19 prevention strategies than those who did not. The AOR suggests that social distancing was significantly associated with good preventive practices, with an AOR of 3.54. Participants who had received the COVID-19 vaccine had better COVID-19 prevention strategies than those who were not vaccinated. The AOR indicates that vaccination status was significantly associated with good preventive practices, with an AOR of 1.14. Participants who practiced good hand hygiene had better COVID-19 prevention strategies than those who did not. The AOR suggests that hand hygiene The general results regarding the COVID-19 preventive intervention showed low levels of involvement (7.3–57.1%).

This finding indicates that COVID-19 vaccination, mask-wearing, social distancing, hand hygiene, and public health communication promote and encourage individuals to adopt and adhere to recommended COVID-19 preventive strategies in Jigjiga town. Vaccination can reduce the risk of infection and transmission by boosting the immune response, providing protection against severe illness, and decreasing community spread. When participants learned about COVID-19 prevention strategies and had a positive attitude toward COVID-19 prevention when they had more education and when individuals came from households with high monthly incomes, effective preventive practices tended to be positively correlated.

Recommendations

According to the COVID-19 viral pandemic, all accountable bodies (JEOC, Jigjiga Town Health Offices, and healthcare facilities) must do more to supply communities with the most updated information. All of the previously mentioned organizations and medical facilities place much importance on targeted information distribution. To reduce the period of endemicity, the Ethiopian Minister of Health, Regional Health Bureau of Ethiopia, and Jigjiga Town Health Department would be more effectively served by dedicating their efforts to the availability of COVID-19 immunization and concentrating on improving vaccine coverage. We recommend that Jigjiga town and Jigjiga Zonal Health Department, JEOC, give due attention to the initiation of another study on COVID-19 prevention methods, specifically COVID-19 vaccination, which is very important.

Limitation of the Study

There are possible limitations that should be considered when interpreting the results. Our study’s shortcoming may be that our design prevents us from establishing cause-and-effect linkages.

Abbreviation

COVID, coronavirus disease; OR, odds ratio; ETB, Ethiopian Birr; COR, Crude Odds Ratio; AOR, Adjusted odds Ratio; CI, Confidence Interval; NGO, Non-governmental organization.

Data Sharing Statement

The corresponding author can provide access to the datasets used and analyzed during the current investigation upon reasonable request.

Ethics Approval and Consent to Participants

The study was approved by the Ethical Committee of Jigjiga University’s Institutional Review Board (IRB). Written informed consent was obtained from all the study participants after they had read the objective and importance of the study. The written consent was approved by the institutional review board committees of Jigjiga University. The information gathered from the respondents will be handled with confidence. The Declaration of Helsinki’s guiding principles were followed during the study’s execution.

Author Contributions

The authors granted their final consent for the version that will be published, agreed to submit it to this journal, and agreed to be accountable for any acceptances of the work. Additionally, they all contributed significantly to the idea and design, data gathering, essential writing for key intellectual interaction, and submission of the work. The authors have reviewed and approved the final manuscript.

Funding

This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors.

Disclosure

The authors declared that there is no conflict of interest.

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