Literature DB >> 32733839

Community Drivers Affecting Adherence to WHO Guidelines Against COVID-19 Amongst Rural Ugandan Market Vendors.

Ibe Michael Usman1, Fred Ssempijja1, Robinson Ssebuufu2, Ann Monima Lemuel1, Victor Bassey Archibong1, Emmanuel Tiyo Ayikobua3, Joshua Ojodale Aruwa1, Stellamaris Kembabazi1, Eric Simidi Kegoye1, John Tabakwot Ayuba1, Olatayo Segun Okeniran1, Isaac Echoru4, Azeez Adeoye1, Regan Mujinya1, Viola Nankya5, Keneth Iceland Kasozi1,6.   

Abstract

Background: Market vendors occupy a strategic position in the fight against the spread of SARS CoV-2 in rural Uganda. To successfully contain the spread of the virus, special attention needs to be given to this set of people by assessing the type of information, source of information, and practices they inculcate as regards adherence to WHO guidelines in the fight against COVID-19 in Uganda. The study aimed to assess the role of information sources, education level, and phone internet connectivity in influencing COVID-19 knowledge among the rural market vendors; and the relationship existing between knowledge, attitude, and practices among them.
Methods: The study was a descriptive cross-sectional study among rural market vendors (n = 248) in southwestern Uganda. Information was collected using a questionnaire and descriptively presented as frequency and percentages.
Results: The study showed that the majority of the rural market vendors had sufficient information regarding COVID-19 with the majority being female individuals and have attained a secondary level of education, The general percentage score for knowledge, attitude, and practices were (75.57, 82.6, and 76.50% respectively). There was a positive correlation between attitude and practices (r = 0.17, p = 0.007), as well as their knowledge with practices (r = 0.29, p < 0.001). The majority of the people in the population did not have their phones connected to the internet (OR = 1.96, 95%CI: 1.16-3.31, P = 0.01). The majority of people received their information regarding COVID-19 from one source (radio) (OR = 1.55).
Conclusion: Where and how the rural market vendors get their information and education level are vital in breaking COVID 19 infection circle in line with WHO guidelines. Therefore, sources of information and education level played a key role in molding their knowledge and practices. However, the level of knowledge on COVID 19 among our respondents was not linked with phone internet connectivity.
Copyright © 2020 Usman, Ssempijja, Ssebuufu, Lemuel, Archibong, Ayikobua, Aruwa, Kembabazi, Kegoye, Ayuba, Okeniran, Echoru, Adeoye, Mujinya, Nankya and Kasozi.

Entities:  

Keywords:  Africa response to COVID-19; COVID-19; COVID-19 in Uganda; SARS CoV-2; information on COVID-19; market-vendors; rural community

Year:  2020        PMID: 32733839      PMCID: PMC7357280          DOI: 10.3389/fpubh.2020.00340

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


Introduction

The COVID-19 outbreak in Wuhan was traced to seafood markets in Wuhan in December 2019 suggesting that the virus jumped from sea animals to humans (1). The outbreak of COVID-19 triggered a global response by all countries of the world in general and the East African Community (EAC) in particular to fight the common enemy (2). With SARS CoV-2 spreading at an alarming rate than can be controlled globally, Uganda and other EAC are doing their best to contain the pandemic by following guidelines published by the World Health Organization (WHO) (3). Market vendors in all East African countries have been identified as crucial workers whose activities provide lifeline support during the COVID-19 lockdown across the region, through access to essential commodities like food, mobile money, etc. (4). In Uganda, market vendors continue in business while their colleagues in other sectors are home during this COVID-19 lockdown period (4). The services provided by this informal sector eases access to food and money that are very vital for human survival especially during the lockdown (5). The continued activities of the market vendors during the lockdown places them at a greater risk because they continue to interact with many people from the general public (6). The Uganda government established regulations in line with the WHO and Ugandan Ministry of Health guidelines, to protect market vendors and the general public from the virus. However, the architectural design of rural markets in Uganda makes it difficult to implement some of these guidelines, such as regular washing of hands, social distancing, use of hand sanitizer (7). Special attention is needed to regulate and monitor market vendors to ensure they follow guidelines to prevent the spread of outbreaks (8) such as COVID-19. Market vendors across EAC have a similar pattern of activities and are considered to be generally less knowledgeable and careless about public health problems (9). An explosion of COVID-19 cases among the market vendors can set EAC member states on edge yet most of the studies on COVID-19 do not capture them (10). Hence the need to identify factors that could influence the adequate implementation of the Ugandan Ministry of Health and WHO guidelines (11, 12) among rural market vendors in Uganda. To overcome the challenges posed by the inability to comply with the control measures of pandemics in the open markets of Uganda, it was essential to identify socio-economic drivers affecting practice and effective implementation of the WHO guidelines among vendors (12). Women constitute a significant proportion of vendors in most African rural markets because women are more inclined to vending since many are single mothers with mouths to feed (13, 14). Women and girls have been identified as vulnerable people due to their low decision-making authority in rural communities of Africa and this makes them important in community disease response projects due to their added responsibilities caring for children and the elderly in society, and in caring for the sick in at home (15). A possible sex difference in vulnerability to COVID-19 needs to be given keen attention. An ongoing survey in urban slums of Kenya suggested that gender differences need to be looked into with regards to COVID-19 (16). A recent study confirmed the possible gender difference in curbing epidemics in informal settlements (15). Knowledge is crucial in shaping people's behavior and practices especially during any disease outbreak (17). This is because knowledge level is linked with panic emotion among most populations, which in turn influences their attitude and practices toward COVID-19 (18). The possible factors that could influence the knowledge, attitude, and practices include but not limited to sex, sources of information, and education level (17, 19). Knowledge of the market vendors regarding COVID-19 and how they get information is a key measure in the fight against SARS CoV-2, however, a scarcity of epidemiological studies from rural communities in Africa created a rationale for this study. This was timely due to the threat of misinformation and fake news (20). Misinformation among market vendors can be more disastrous and may act as a tool to worsen the epidemiologic characteristics of the pandemic since a rise in COVID 19 cases among them will expose the local community to an increased risk of infection (21, 22). Given the present challenge, the major sources of information regarding the COVID-19 pandemic could either guarantee success or compromise the fight, especially among market vendors who are mostly rural settlers (23). Possible sources of information available to the market vendors across Uganda include; friends, radios, televisions, social media, newspapers (22), and the source (s) of information used is vital in determining effectiveness in receiving and interpreting COVID-19 knowledge among them (17). The internet is often not mentioned as a source of information among market vendors, possibly as a result of the high cost of phones with internet connectivity, but notwithstanding its importance in the dissemination of vital information cannot be dispelled (24). Phone internet connectivity has been deployed in different places around the globe to curb the spread, diagnosis, and management of COVID-19 (25–27) due to improved awareness about COVID-19 coming with regular updates from different internet applications. The National health authorities and the WHO have been taking advantage of the internet in fighting disinformation on COVID-19 through counternarratives online and offline (28). The Ugandan Ministry of health at a specific time has used social media to dispel unnecessary panics, associated with false reports of COVID-19 cases (28). In essence, internet connectivity could serve as a portal for disseminating reliable information on the pandemic as well as enable citizens to report suspected cases. Internet tools such as social media should be incorporated in the prevention of COVID-19 because the majority of the vendors are youth across the eastern African region (26). Education level and professional training are very instrumental in shaping people's knowledge, attitudes, and practices regarding COVID-19 (29). In creating preventive and mitigation measures for COVID-19, attention needs to be given to the educational level of the market vendors (15). A Chinese study showed that education level, professional training, and relevant COVID-19 training were very instrumental in shaping peoples knowledge, attitude and practices regarding COVID19 (29), and this is in line with the global norm where good knowledge, attitude, and practices were associated with qualifications of individuals among the different continents (15). Educational level is an indicator of poverty as a risk factor, which in itself is a risk factor to the spread of every form of infection (15). Therefore, the knowledge levels of market vendors toward COVID-19 need to be assessed to control SARS CoV-2 by looking at the different dynamics of the disease such as the source of information, internet, education levels and how these are related to their knowledge on the mode of spread, prevention, symptoms and signs, and possible management strategies. Their knowledge regarding these aspects directly or indirectly molds their attitude and practices especially during this pandemic (30). The study aimed to assess the role of information sources, education level, and phone internet connectivity in influencing COVID-19 knowledge among the rural market vendors; and the relationship existing between knowledge, attitude, and practices among them.

Methods

Study Site and Design

The study design was a descriptive cross-sectional study among market vendors in the Ishaka-Bushenyi municipality of south-western Uganda. A Simple random sampling technique was employed.

Study Population

Inclusion Criteria

The study population is market vendors in the Ishaka-Bushenyi municipality in south-western Uganda. They include sellers of fruits, vegetables, and food store owners who were allowed to continue their businesses during the lockdown order by the Ugandan government; this was because they were considered as sellers of essential commodities.

Exclusion Criteria

People in the market not who are not vending during the nationwide lockdown and those who refused to give their consent for the studies were excluded from the present studies.

Data Collection and Measures

A closed-ended pretested questionnaire comprising multiple-choice questions was employed. The questionnaire measured sociodemographic data (age, sex, educational level, and religion), knowledge, attitude, and practices. The questionnaire was reviewed and validated by different experts. The questionnaire was uploaded on the google form (via docs.google.com/forms), and the link shared among assessors to minimize paper printing and social distancing, also masks were worn as an extra protective measure. Introductory letters addressed to the market authorities from Local Council were given to the assessors detailing the purpose of the study. Each of the assessors was assigned a Ruyankole interpreter. A total of 248 rural market vendors were recruited for the study.

Study Variables

Independent Variables

Demographic details which include age, gender, educational level, marital status, religion. Internet connectivity, sources of information on COVID-19 and educational status.

Dependent Variables

Knowledge, attitude, and practices toward COVID-19.

Knowledge

Our study assessed knowledge on specific facts regarding COVID-19 developed in line with WHO guidelines (31) and modified to suit market vendors. These questions include the following; there is no effective cure for COVID-19 at the moment, early identification of symptoms and supportive care can help most patients recover from the infection, not all persons with COVID-19 will develop to severe cases, elderly people, people with underlying chronic illnesses and the obese are more likely to develop severe cases of the infection, eating or contacting wild animals would result in the infection by the SARS CoV-2, persons with COVID-2019 can infect others when a fever is not present, SARS CoV-2spreads via respiratory droplets of infected individuals, it is necessary for children and young adults to take measures to prevent the infection by the SARS CoV-2), isolation and treatment of people who are infected with the SARS CoV-2 are effective ways to reduce the spread of the virus, people with previous contact with someone infected with the SARS CoV-2should be immediately isolated in a proper place for 14 days' observation. Each correct response weighed 1 point and 0 for incorrect responses. The higher the points, the more knowledge the market vendors are had on COVID 19.

Attitude

The attitude among rural market vendors was assessed using 5 questions that have been adopted from (32) and modified appropriately for COVID-19 by the authors. The responses were; Yes and No. Some questions were reversed to eliminate biases of giving a single similar response in all the items. Response showing positive attitude were assigned 1 and negative attitude were assigned 0.

Practices

Practices were assessed using seven questions. These questions were developed based on the WHO and Ministry of Health Uganda recommendation for practices on prevention of COVID-19 transmission i.e., hand washing, use of hand sanitizers, avoiding crowded places, maintenance of social distance, cleaning of surfaces with soap and bleach, use of face mask, covering of your mouth with handkerchief, elbow or tissue paper when sneezing (31). The responses were; Yes and No. Response showing good practices were assigned 1 and bad practices were assigned 0.

Data Management and Analysis

Fully completed questionnaires were extracted from Google Forms and exported to a Microsoft Excel 2016 for cleaning and coding. The cleaned data was exported to IBM SPSS Statistics 20 and GraphPad 8.3 for analyses. Categorical data were summarized as frequencies and proportions. Associations between independent variables and dependent variables were assessed using multivariate analysis in Winpepi software. One-Way Analysis of Variance and Tukey post-hoc test; were done using GraphPad Prism 8.3 to compare KAPs against the independent variables. The sum score of each outcome was assessed based on Bloom's cut off point (33). Based on the sum scores, level of knowledge was classified into low-level knowledge (<60%; 0–8 scores), moderate level knowledge (60–80%; 9–11 scores), and high-level knowledge (80–100%; 12–15 scores). The scores for attitude were classified into positive attitude (80–100%; 60–75 scores), neutral attitude (60–80%; 45–59 scores), and negative attitude (<60%; 15–44 scores). The level of practice was classified into poor-level (<60%; 10–29 scores), fair level (60–80%; 30–40 scores), and good level (80–100%; 41–50 scores). Spearman correlation was used to assess the relationship between knowledge, attitude, and practices using IBM SPSS Statistics 20. Values were considered statistically significant at p < 0.05.

Results

Sociodemographic Characteristics of the Study Population

The Majority of our respondents are female 154/248 (62.1%) and falls within 21–30 age categories 131/248 (52.8). The majority of our respondents had attained secondary level 134/248 (54.0%) and most of our respondents were single 123/248 (49.6%). Protestants accounted for 99/248 (39.9%) of our respondents (Table 1).
Table 1

Sociodemographic characteristics of the study population.

Frequency (%)95% CI
Age categories in years<2133 (13.3)9.5–18.0
21–30131 (52.8)46.6–58.2
31–4060 (24.2)19.2–29.8
41–5016 (6.5)3.9–10.1
51–603 (1.2)0.3–3.3
>602 (0.8)0.1–2.6
Undeclared3 (1.2)0.3–3.3
GenderMale94 (37.9)32.0–44.1
Female154 (62.1)56.0–68.0
Educational statusNo formal education5 (2.0)0.7–4.4
Primary level73 (29.4)24.0–35.0
Secondary level134 (54.0)47.8–60.2
Tertiary level36 (14.5)10.5–19.3
Marital statusDivorced2 (0.8)0.1–2.6
Married122 (49.2)43.0–55.4
Single123 (49.6)43.4–55.8
Widow1 (0.4)0.0–2.0
ReligionAdventists13 (5.2)3.0–8.6
Catholics85 (34.3)28.6–40.4
Muslims29 (11.7)8.1–16.2
Protestant99 (39.9)34.0–46.1
Pentecostals17 (6.9)4.2–10.5
Others5 (2.0)0.7–4.4
Sociodemographic characteristics of the study population.

The Percentage Score for General Knowledge, Attitude, and Practices Among Rural Market Vendors

The general percentage score was moderate for knowledge (75.57%) and practices (76.50%), but high for attitude (82.6%). The percentage score for knowledge and practice for males (76.41 and 75.10%, respectively) and females (75.05 and 77.35%, respectively) were moderate, however, a high score was observed for attitude among them; males (83.19%) and females (82.18%). The percentage score among those having their phones connected and those not having connected to the internet on knowledge (77.00 and 74.53%, respectively) and practices (78.49 and 75.08%, respectively) were moderate. However, there was a significant difference (P = 0.0055) in the percentage score for attitude among those connected (86.92%) and those not connected (79.41%) to the internet. The percentage score for practices was significantly different (P = 0.0058) among individuals with no formal education (54.29%) and those with primary (75.24%), secondary (77.03%), and tertiary (80.16%) levels of education. The percentage score for knowledge among those with one, two, three, and more than four sources of information (72.81, 75.88, 78.0, and 70.52%, respectively) was moderate. Nonetheless, a high score was reported for vendors with four sources of information (80.03%), although not significantly different. The percentage score for attitude was significantly different (P = 0.0358) among those with one source (73.04%) and those with four (82.68%) sources of information. The percentage score for practice was significantly different (P < 0.0001) between those with one source (69.19%) and those with two (89.07%), three (87.23%), four (92.12%), and more than four (86.15%) sources of information (Figure 1).
Figure 1

Percentage knowledge, attitude, and practice scores toward COVID-19 in the rural market vendors (n= 248). (A–C) Knowledge, Attitude, and Practice scores, respectively, in males and females; (D–F) Percentage knowledge, attitude, and practice scores, respectively, in relation to phone connectivity to the internet; (G–I) Percentage knowledge, attitude and practice scores in relation to different levels of education; (J–L) Percentage knowledge, attitude, and practice scores in relation to multiple sources of information. a and b show a significant difference at p ≤ 0.05.

Percentage knowledge, attitude, and practice scores toward COVID-19 in the rural market vendors (n= 248). (A–C) Knowledge, Attitude, and Practice scores, respectively, in males and females; (D–F) Percentage knowledge, attitude, and practice scores, respectively, in relation to phone connectivity to the internet; (G–I) Percentage knowledge, attitude and practice scores in relation to different levels of education; (J–L) Percentage knowledge, attitude, and practice scores in relation to multiple sources of information. a and b show a significant difference at p ≤ 0.05.

Correlation Between Knowledge, Attitude, and Practices Among Rural Market Vendors

Correlation between knowledge on COVID-19, attitude, and practices toward COVID-19 among rural market vendors in western Uganda is presented in Table 2. There was a strong positive correlation between attitude and practices (r = 0.17, p = 0.007), as well as knowledge with practices (r = 0.29, p < 0.001).
Table 2

Correlation between knowledge, attitude, and practices toward COVID-19 among rural market vendors in western Uganda (n = 248).

AttitudePracticesKnowledge
Attitude___
Practices0.170*__
Knowledge0.1090.291*_

is significant at the 0.05 level. All r values are Spearman's correlation coefficients.

Correlation between knowledge, attitude, and practices toward COVID-19 among rural market vendors in western Uganda (n = 248). is significant at the 0.05 level. All r values are Spearman's correlation coefficients.

Relationship Between Gender and Level of Education, Sources of Information, Internet Connectivity, and Knowledge on COVID-19

The majority of the people 134/248 (54.0%) had attained a secondary level of education and were almost two times more than those who had no formal education (OR= 1.89). The majority of the people in the population 144/248 (58.1%) did not have their phones connected to the internet and were twice more than those whose phones were connected to the internet with significant differences between them (OR = 1.96, 95%CI: 1.16–3.31, P = 0.01). The majority of people 80/248 (32.3%) received their information regarding COVID-19 from one source and almost two times less than those who got information from four sources of information (OR = 1.55). Majority of the people 194/248 (78.2%) believe that elderly people, people with underlying chronic illnesses and the obese are more likely to develop severe cases of the infection and these are twice more than those who believe otherwise, with a significant difference between them (OR = 1.79, 95%CI: 0.93–3.54, P = 0.01). The majority of people 233/248 (94.0%) agreed, that the SARS CoV-2 spreads via respiratory droplets of infected individuals, and these are four times more than those who disagree but with no significant difference between them (OR = 4.24, 95%CI: 0.62–2.21, P = 0.05). (Table 3).
Table 3

Relationship between gender and level of education, sources of information, internet connectivity and knowledge on COVID-19.

GENDERTotalOR95%CIP-value
MaleFemale
Educational statusNo formal education1 (1.1)4 (2.6)5 (2.0)10.129
Primary level33 (35.1)40 (26.0)73 (29.4)3.300.58
Secondary level43 (45.7)91 (59.1)134 (54.0)1.890.91
Tertiary level17 (18.1)19 (12.3)36 (14.5)3.580.55
Total94 (100.0)154 (100.0)248 (100.0)
Phone internet connectivityYes49 (52.1%)55 (35.7)104 (41.9)1.961.16 to 3.310.01
No45 (47.9)99 (64.3)144 (58.1)
Total94 (100.0%)154 (100.0)248 (100.0)
MultipleSourceone source28 (29.8)52 (33.8)80 (32.3)10.758
two sources26 (27.7)49 (31.8)75 (30.2)0.990.002
three sources20 (21.3)27 (17.5)47 (19.0)1.380.72
four sources15 (16.0)18 (11.7)33 (13.3)1.551.07
five and above5 (5.3)8 (5.2)13 (5.2)1.160.06
Total94 (100.0)154 (100.0)248 (100.0)
Multiple signsOne symptom18 (19.1)31 (20.1)49 (19.8)10.010
Two Symptoms43 (45.7)82 (53.2)125 (50.4)0.900.10
Three Symptoms15 (16.0)33 (21.4)48 (19.4)0.780.97
Four Symptoms12 (12.8)7 (4.5)19 (7.7)2.950.18
No idea6 (6.4)1 (.6)7 (2.8)10.330.05
Total94 (100.0)154 (100.0)248 (100.0)
There is no effective cure for COVID-2019 at the moment.Yes67 (71.3)101 (65.6)168 (67.7)1.300.75 to 2.290.37
No27 (28.7)53 (34.4)80 (32.3)
Total94 (100.0)154 (100.0)248 (100.0)
Early identification of symptoms and supportive care can help most patients recover from the infectionYes85 (90.4)142 (92.2)227 (91.5)0.840.46 to 1.560.59
No9 (9.6)12 (7.8)21 (8.5)
Total94 (100.0)154 (100.0)248 (100.0)
Not all persons with COVID-2019 will develop into severe cases.Yes71 (75.5)121 (78.6)192 (77.4)0.840.46 to 1.560.59
No23 (24.5)33 (21.4)56 (22.6)
Total94 (100.0)154 (100.0)248 (100.0)
Elderly people, people with underlying chronic illnesses and obese are more likely to develop severe casesYes79 (84.0)115 (74.7)194 (78.2)1.790.93 to 3.540.01
No15 (16.0)39 (25.3)54 (21.8)
Total94 (100.0)154 (100.0)248 (100.0)
Eating or contacting wild animals would result in the infection by the COVID-19 virusYes61 (64.9)93 (60.4)154 (62.1)1.210.71 to 2.080.46
No33 (35.1)61 (39.6)94 (37.9)
Total94 (100.0)154 (100.0)248 (100.0)
Persons with COVID-2019 cannot transmit the virus to others when a fever is not presentYes65 (69.1)100 (64.9)165 (66.5)1.210.70 to 2.110.54
No29 (30.9)54 (35.1)83 (33.5)
Total94 (100.0)154 (100.0)248 (100.0)
The COVID-19 virus spreads via respiratory droplets of infected individualsYes92 (97.9)141 (91.6)233 (94.0)4.240.92 to 39.400.05
No2 (2.1)13 (8.4)15 (6.0)
Total94 (100.0)154 (100.0)248 (100.0)
Ordinary residents can wear general medical masks to prevent the infection by the COVID-19 virusYes75 (79.8)119 (77.3)194 (78.2)1.160.62 to 2.210.69
No19 (20.2)35 (22.7)54 (21.8)
Total94 (100.0)154 (100.0)248 (100.0)
It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virusYes58 (61.7)90 (58.4)148 (59.7)1.150.68 to 1.950.64
No36 (38.3)64 (41.6)100 (40.3)
Total94 (100)154 (100)248 (100)
To prevent the infection by covid 19, individuals should avoid going to crowded areasYes89 (94.7)146 (94.8)235 (94.8)0.980.31 to 3.370.89
No5 (5.3)8 (5.2)13 (5.2)
Total94 (100.0)154 (100.0)248 (100.0)
Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virusYes92 (97.9)144 (93.5)236 (95.2)3.190.66 to 30.520.14
No2 (2.1)10 (6.5)12 (4.8)
Total94 (100.0)154 (100.0)248 (100.0)
People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. In general, the observation period is 14 daysYes86 (91.5)147 (95.5)233 (94.0)0.510.17 to 1.510.22
No8 (8.5)7 (4.5)15 (6.0)
Total94 (100.0)154 (100.0)248 (100.0)
Relationship between gender and level of education, sources of information, internet connectivity and knowledge on COVID-19.

Relationship Between Internet Connectivity and Knowledge on COVID-19

The majority 194/248 (78.2%) of our respondents agreed that elderly people, people with underlying chronic illnesses and obese are more likely to develop severe cases, out of which most 114/194 (58.8%) did not have internet connectivity on their phones, although with no difference (OR = 0.88; 95% CI = 0.48–1.63; P = 0.70). The majority 154/248 (62.1%) of our respondents agreed that eating or contacting wild animals would result in the infection by the SARS CoV-2, out of the proportion having their phones connected to the internet equal those who do not 77/154 (50.0%). Respondents with internet connectivity on their phones who agreed that eating or contacting wild animals would result in the infection by the SARS CoV-2 were two times greater than those who do not agree (OR = 2.48; 95% CI = 1.44–4.32; P = 0.001). The majority 165/248 (66.5%) of our respondents agreed that persons with COVID-2019 cannot transmit the virus to others when a fever is not present, out of which most 96/165 (58.2%) did not have internet connectivity on their phones, although with no difference (OR = 0.99, 95% CI = 0.58–1.69; P = 0.95). The majority 233/248 (94.0%) of our respondents agreed that the SARS CoV-2 spreads via respiratory droplets of infected individuals, out of which most 138/233 (59.2%) did not have internet connectivity on their phones, although with no difference (OR = 0.46; 95% CI = 0.15–1.35; P = 0.14). The majority 194/248 (78.2%) of our respondents agreed that ordinary residents can wear general medical masks to prevent the infection by the SARS CoV-2, out of which most 111/194 (57.2%) did not have internet connectivity on their phones, although with no difference (OR = 1.18; 95% CI = 0.63–2.20; P = 0.59). The majority 148/248 (59.7%) of our respondents agreed that children and young adults don't need to take measures to prevent the infection by the SARS CoV-2, out of which most 81/148 (54.7%) did not have internet connectivity on their phones, although with no difference (OR = 1.41; 95% CI = 0.84–2.38; P = 0.22). The majority 235/248 (94.8%) of our respondents agreed that to prevent the infection by COVID-19, individuals should avoid going to crowded places, out of which most 135/235 (57.4%) did not have internet connectivity on their phones. Respondents with internet connectivity on their phones who agreed that to prevent the infection by COVID-19, individuals should avoid going to crowded places were 2 times greater (OR = 1.67; 95% CI = 0.45–7.60; P = 0.57). The majority 236/248 (95.2%) of our respondents agreed that isolation and treatment of people who are infected with the SARS CoV-2are effective ways to reduce the spread of the virus, out of which most 135/236 (57.2%) did not have internet connectivity on their phones. Respondents with internet connectivity on their phones who agreed that isolation and treatment of people who are infected with the SARS CoV-2 are effective ways to reduce the spread of the virus were 2 times greater (OR = 2.24; 95% CI = 0.54–13.17; P = 0.37) (Table 4).
Table 4

Relationship between phone internet connectivity and knowledge on COVID-19.

Phone internet connectivityTotal
YesNoORCIP-value
Elderly people, people with underlying chronic illnesses and obese are more likely to develop severe casesYes80 (41.2)114 (58.8)194 (100.0)0.880.48–1.630.70
No24 (44.4)30 (55.6)54 (100.0)
Eating or contacting wild animals would result in the infection by the COVID−19 virusYes77 (50.0)77 (50.0)154 (100.0)2.481.44–4.320.001
No27 (28.7)67 (71.3)94 (100.0)
Persons with COVID-2019 cannot transmit the virus to others when a fever is not presentYes69 (41.8)96 (58.2)165 (100.0)0.990.58–1.690.95
No35 (42.2)48 (57.8)83 (100.0)
The COVID-19 virus spreads via respiratory droplets of infected individualsYes95 (40.8)138 (59.2)233 (100.0)0.460.15–1.350.14
No9 (60.0)6 (40.0)15 (100.0)
Ordinary residents can wear general medical masks to prevent the infection by the COVID-19 virusYes83 (42.8)111 (57.2)194 (100.0)1.180.63–2.200.59
No21 (38.9)33 (61.1)54 (100.0)
It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virusYes67 (45.3)81 (54.7)148 (100.0)1.410.84–2.380.22
No37 (37.0)63 (63.0)100 (100.0)
To prevent the infection by COVID-19, individuals should avoid going to crowded placesYes100 (42.6)135 (57.4)235 (100.0)1.670.45–7.600.57
No4 (30.8)9 (69.2)13 (100.0)
Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virusYes101 (42.8)135 (57.2)236 (100.0)2.240.54–13.170.37
No3 (25.0)9 (75.0)12 (100.0)
People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. In general, the observation period is 14 daysYes98 (42.1)135 (57.9)233 (100.0)1.090.37–3.390.9
No6 (40.0)9 (60.0)15 (100.0)
Sample248
Relationship between phone internet connectivity and knowledge on COVID-19.

Sources of Information and Knowledge on COVID-19 Among Market Vendors

The majority 125/248 (50.4%) of our respondents knew two symptoms of COVID-19, out of which most 39/125 (48.80%) got their information from one source of information. The majority 192/248 (77.1%) of our respondents agreed that not all persons with COVID-2019 will develop to severe cases, out of which most 60/192 (31.3%) had one source of information. The majority 194/248 (78.2%) of our respondents agreed that Elderly people, people with underlying chronic illnesses and obese are more likely to develop severe cases, out of which most 62/194 (32.0%) had one source of information on COVID-19. The majority 154/248 (62.1%) of our respondents agreed that Eating or contacting wild animals would result in the infection by the SARS CoV-2, out of which most had two sources 58/154 (37.7%) of information on COVID-19. The majority 165/248 (66.5%) of our respondents agreed that persons with COVID-2019 cannot transmit the virus to others when a fever is not present, out of which most had two sources 55/165 (33.3%) of information on COVID-19. The majority 233/248 (94.0%) of our respondents agreed that the SARS CoV-2spreads via respiratory droplets of infected individuals, out of which most had one source 75/233 (32.2%) of information on COVID-19. The majority 194/248 (78.2%) of our respondents agreed that ordinary residents can wear general medical masks to prevent the infection by the SARS CoV-2, out of which most had one source 63/194 (32.5%) of information on COVID-19. The majority 148/248 (59.7%) of our respondents agreed that children and young adults don't need to take measures to prevent the infection by the SARS CoV-2, out of which most had two sources 45/148 (30.4) of information on COVID 19. The majority 235/248 (94.8%) of our respondents agreed that to prevent the infection by COVID-19, individuals should avoid going to crowded places, out of which most had one source 74/235 (31.4%) of information on COVID 19. The majority 236/248 (95.2%) of our respondents agreed that isolation and treatment of people who are infected with the SARS CoV-2are effective ways to reduce the spread of the virus, out of which most had one source of information on COVID 19 74/236 (31.4%). The majority 233/248 (94.0%) of our respondents agreed that people who have contact with someone infected with the SARS CoV-2 should be immediately isolated in a proper place. In general, the observation period is 14 days, out of which most had one 74/233 (31.8%) source of information on COVID 19 (Table 5).
Table 5

Source of information, education level and knowledge on COVID 19 among market vendors.

Multiple sourcesTotalEducational statusTotal
One sourceTwo sourcesThree sourcesFour sourcesFive and aboveNo formal educationPrimary levelSecondary levelTertiary level
Multiple symptomsOne Symptom28 (35.00)17 (22.70)3 (6.40)1 (3.00)0 (0.00)492 (40.0)18 (24.7)23 (17.2)6 (16.7)49
Two Symptoms39 (48.80)32 (42.70)27 (57.40)20 (60.60)7 (53.80)1251 (20.0)37 (50.7)73 (54.5)14 (38.9)125
Three Symptoms10 (12.50)21 (28.00)12 (25.50)5 (15.20)0 (0.00)481 (20.0)15 (20.5)27 (20.1)5 (13.9)48
Four Symptoms1 (1.20)4 (5.30)5 (10.60)6 (18.20)3 (23.10)191 (20.0)0 (0.0)9 (6.7)9 (25.0)19
No idea2 (2.50)1 (1.30)0 (0.00)1 (3.00)3 (23.10)70 (0.0)3 (4.1)2 (1.5)2 (5.6)7
Not all persons with COVID-2019 will develop to severe cases.Yes59 (30.7)60 (31.3)35 (18.2)29 (15.1)9 (4.7)1921 (0.5)58 (30.2)112 (58.3)21 (10.9)192
No21 (37.5)15 (26.8)12 (21.4)4 (7.1)4 (7.1)5647 (7.1)15 (26.8)22 (39.3)15 (26.8)56
Elderly people, people with underlying chronic illnesses and obese are more likely to develop severe casesYes62 (32.0)55 (28.4)39 (20.1)29 (14.9)9 (4.6)1942 (1.0)58 (29.9)107 (55.2)27 (13.9)194
No18 (33.3)20 (37.0)8 (14.8)4 (7.4)4 (7.4)543 (5.6)15 (27.8)27 (50.0)9 (16.7)54
Eating or contacting wild animals would result in the infection by the COVID-19 virusYes33 (21.4)58 (37.7)31 (20.1)24 (15.6)8 (5.2)1544 (2.6)42 (27.3)82 (53.2)26 (16.9)154
No47 (50.0)17 (18.1)16 (17.0)9 (9.6)5 (5.3)941 (1.1)31 (33.0)52 (55.3)10 (10.6)94
Persons with COVID-2019 cannot transmit the virus to others when a fever is not presentYes50 (30.3)55 (33.3)31 (18.8)23 (13.9)6 (3.6)1651 (0.6)51 (30.9)96 (58.2)17 (10.3)165
No30 (36.1)20 (24.1)16 (19.3)10 (12.0)7 (8.4)834 (4.8)22 (26.5)38 (45.8)19 (22.9)83
The COVID-19 virus spreads via respiratory droplets of infected individualsYes75 (32.2)70 (30.0)44 (18.9)32 (13.7)12 (5.2)2334 (1.7)70 (30.0)129 (55.4)30 (12.9)233
No5 (33.3)5 (33.3)3 (20.0)1 (6.7)1 (6.7)151 (6.7)3 (20.0)5 (33.3)6 (40.0)15
Ordinary residents can wear general medical masks to prevent the infection by the COVID-19 virusYes63 (32.5)56 (28.9)38 (19.6)29 (14.9)8 (4.1)1942 (1.0)56 (28.9)108 (55.7)28 (14.4)194
No17 (31.5)19 (35.2)9 (16.7)4 (7.4)5 (9.3)543 (5.6)17 (31.5)26 (48.1)8 (14.8)54
It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virusYes39 (26.4)45 (30.4)30 (20.3)25 (16.9)9 (6.1)1481 (0.7)41 (27.7)89 (60.1)17 (11.5)148
No41 (41.0)30 (30.0)17 (17.0)8 (8.0)4 (4.0)1004 (4.0)32 (32.0)45 (45.0)19 (19.0)100
To prevent the infection by COVID-19, individuals should avoid going to crowded placesYes71 (30.2)72 (30.6)47 (20.0)33 (14.0)12 (5.1)2354 (1.7)66 (28.1)129 (54.9)36 (15.3)235
No9 (69.2)3 (23.1)0 (0.0)0 (0.0)1 (7.7)131 (7.7)7 (53.8)5 (38.5)0 (0.0)13
Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virusYes74 (31.4)71 (30.1)46 (19.5)33 (14.0)12 (5.1)2364 (1.7)71 (30.1)126 (53.4)35 (14.8)236
No6 (50.0)4 (33.3)1 (8.3)0 (0.0)1 (8.3)121 (8.3)2 (16.7)8 (66.7)1 (8.3)12
People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. In general, the observation period is 14 daysYes74 (31.8)71 (30.5)45 (19.3)32 (13.7)11 (4.7)2334 (1.7)69 (29.6)126 (54.1)34 (14.6)233
No6 (40.0)4 (26.7)2 (13.3)1 (6.7)2 (13.3)151 (6.7)4 (26.7)8 (53.3)2 (13.3)15
Source of information, education level and knowledge on COVID 19 among market vendors.

Education Level and Knowledge on COVID-19 Among Market Vendors

The majority 125/248 (50.4%) of our respondents knew two symptoms of COVID 19, out of which most 73/125 (54.5%) had secondary education. The majority 192/248 (77.4%) of our respondents agreed that not all persons with COVID-2019 will develop to severe cases, out of which most 112/192 (58.3%) had secondary education. The majority 194/248 (78.2%) of our respondents agreed that Elderly people, people with underlying chronic illnesses, and obese are more likely to develop severe cases, out of which most 107/194 (55.2%) had secondary education. The majority 154/248 (62.1%) of our respondents agreed that Eating or contacting wild animals would result in the infection by the SARS CoV-2, out of which most 82/154 (53.2%) had secondary education. The majority 165/248 (66.5%) of our respondents agreed that persons with COVID-2019 cannot transmit the virus to others when a fever is not present, out of which most 96/165 (58.2%) had secondary education. The majority 233/248 (94.0%) of our respondents agreed that the SARS CoV-2spreads via respiratory droplets of infected individuals, out of which most 129/233 (55.4%) had secondary education. The majority 194/248 (78.2%) of our respondents agreed that ordinary residents can wear general medical masks to prevent the infection by the SARS CoV-2, out of which most 108/194 (55.7%) had secondary education. The majority 148/248 (59.7%) of our respondents agreed that children and young adults don't need to take measures to prevent the infection by the SARS CoV-2, out of which most 89/148 (60.1%) had secondary education. The majority 235/248 (94.8%) of our respondents agreed that to prevent the infection by COVID19, individuals should avoid going to crowded places, out of which most 129/235 (54.9%) had secondary education. The majority 236/248 (95.2%) of our respondents agreed that isolation and treatment of people who are infected with the SARS CoV-2are effective ways to reduce the spread of the virus, out of which most 126/236 (53.4%) had secondary education. The majority 233/248 (94.0%) of our respondents agreed that people who have contact with someone infected with the SARS CoV-2should be immediately isolated in a proper place. In general, the observation period is 14 days, out of which most 126/233 (54.1%) had secondary education (Table 5).

Discussion

The majority of market vendors in Bushenyi were female youths between the ages of 20–30 years and they had attained some level of formal education (98%) with 14.5% having had a professional certificate. These sociodemographic characteristics are typical of market vendors in Uganda (9, 14) except that the biggest proportion of our market vendors (98%) had formal education compared to those in previous studies 60–80% with only 6.6% of these having had a professional course. A recent study in Africa confirmed the role of gender differences in curbing epidemics in informal settlements which cannot be overlooked (15) during the control COVID-19. Furthermore, women and girls are at increased risk during epidemics due to various reasons like being responsible for caring for children and the elderly and being the majority of the health care workers in Africa (15). This is a good indicator because education level and professional training are very instrumental in shaping people's knowledge, attitudes, and practices regarding COVID-19 (29). It is therefore vital to focus on increasing the education level of the community putting special emphasis on the females when creating preventive and mitigation measures for COVID-19 among rural market vendors and thus reducing their risk of infection (15). Knowledge is crucial in shaping people's behavior and practices especially during any disease outbreak (17). There was a positive correlation between knowledge with practices, and attitude with practices. This was in line with the general notion that adequate knowledge is often associated with good attitudes and practices (18). This is because knowledge level is linked with panic emotion among most populations, which in turn influences their attitude and practices toward COVID-19 (18). Most of the vendors had adequate knowledge on COVID-19 and this was a novel finding in the study since market vendors are often associated with less knowledgeable and careless behavior toward public health emergencies (9). The adequate knowledge about COVID-19 observed among rural market vendors was attributed to the government's engagement of the local communities, trained health workers, different security agencies to enforce those outlined measures (25). The reported moderate level of COVID-19 awareness could also be attributed to them having a formal education, and awareness campaigns carried out by the government in the electronic media. This concurs with recent studies that showed that a person's level of education is very instrumental in shaping people's knowledge, attitudes, and practices regarding COVID-19 (15, 29). Findings in the current study are in agreement with thee observations that the vendors' percentage score for practice regarding COVID-19 was significantly low (poor practices) in those who had no formal education compared to those who had formal education. This is because people with no formal education are more likely to engage in risky behaviors than those with formal education (34). The less severe situation in the COVID 19 outbreak in Uganda could also be a possible reason for some pockets of recorded poor practices among those with no formal education (4). In general, the reported moderate score for practices among the rural market vendors, aside having good knowledge about COVID 19 and some level of formal education, could be linked with the fear of punishment by the law enforcement agents for flaunting the government directives especially in public places such as the washing of hands, as soaps and water are been stationed at strategic points to facilitate compliance. More females than males knew these facts about COVID 19 because more females participated in the study than males but there was no significant difference among them concurring with a recent COVID-19 KAP study in Kampala where there were no gender differences in the study (35). Even though the majority of the vendors had adequate knowledge regarding the eight (8) COVID19, there was a deviation in knowledge among them on the following COVID-19 facts: Symptoms; elderly people, people with underlying chronic illnesses and the obese are more likely to develop severe cases of the infection; SARS CoV-2spreads via respiratory droplets of infected individuals; isolation and treatment of people who are infected with the SARS CoV-2are effective ways to reduce the spread of the virus, and could be attributed to the fact that the illness is a new one (36, 37). This fact is a pointer that the government should not relax its efforts on publicity on COVID 19, and strengthen the public's alertness to COVID-19, inform the public on the importance of protecting themselves with enough precautionary measures (38). Misinformation among market vendors can be more disastrous and may act as a tool to worsen the epidemiologic characteristics of the pandemic since a rise in COVID 19 cases among them will expose the local community to an increased risk of infection (21, 22). Given the present challenge, the major sources of information regarding the COVID-19 pandemic could either guarantee success or compromise the fight, especially among market vendors who are mostly rural settlers (23). The majority of rural market vendors depended on one source of information to obtain knowledge on COVID-19. Although there was no significant difference in the knowledge score between those with one source of information and those with two, three, four, and more sources of information, although all categories had adequate knowledge and good practices toward COVID−19. This could be attributed to higher levels and the proportion of educated people in our study population who are actively using more information-seeking behaviors without necessarily relying on their counterparts (39–41). The use of radio was a universal source among rural market vendors with one and multiple sources of information, this finding contradicts the findings of Ikoja-Odongo (24) who indicated that personal experiences and friends are the major sources of information with social media and radios only coming in at third among Ugandans belonging to the informal sectors. Phone internet connectivity did not affect the level of knowledge on COVID-19 among rural market vendors in the present studies, this is supported by the fact that other studies in Uganda don't mention internet and social media as the major sources of information from which health information is obtained among market people (24). Even though there are no significant differences in the knowledge regarding the pandemics among vendors whose phones were connected and those not connected to the internet, the former were more knowledgeable about most of the following COVID-19 facts: eating or contacting wild animals would result in the infection by the SARS CoV-2, it is not necessary for children and young adults to take measures to prevent the infection by the SARS CoV-2, to prevent the infection by COVID-19, individuals should avoid going to crowded places, isolation, and treatment of people who are infected with the SARS CoV-2 are effective ways to reduce the spread of the virus. This implies that, although phone internet connectivity was not popular among rural market vendors, it plays a vital role in improving people's awareness on COVID-19 and internet tools such as social media should be incorporated in the quest to halt the rapid spread of COVID-19 among rural dwellers (26), because the majority of the rural market vendors in Uganda are youths. It is also important to note that market vendors whose phones were connected to the internet had higher percentage score for attitude (positive attitudes) toward COVID-19, settling the role of internet tools and the need for their incorporation in the prevention, management, and prognosis of COVID-19 not only in Uganda but globally (25–27).

Conclusion

Where and how the rural market vendors get their information and education level are vital in breaking COVID 19 infection circle in line with WHO guidelines. Therefore, sources of information and education level played a key role in molding their knowledge and practices. However, the level of knowledge on COVID 19 among our respondents was not linked with phone internet connectivity. To guarantee successful containment of SARS CoV-2, the government needs to enact a more robust strategy by paying attention to educating rural market vendors, as well as the rest of community members, and adequate utilization of affordable, reliable, and more effective sources of information to reach the rural people.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://figshare.com/s/b024cdd4e37fbdd0d399.

Ethics Statement

Expediated ethical approval from Kampala International Ethical Review Board was acquired and registered as Nr.UG-REC-023/201914. Written, informed consent was obtained from the study participants while in minors, this was first acquired from their legal guardians and then individually from each participant who was a minor for the publication of any potentially identifiable images or data included in this article. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

IU, FS, and KK conceptualized the study. IU, FS, RS, AL, VA, and KK designed the study. IU, FS, AL, JOA, EK, JTA, OO, EA, IE, AA, RM, and VN collected the data. AL, VA, JOA, EK, JTA, OO, EA, IE, AA, RM, and VN conducted data analysis while AL, VA, JOA, EK, JTA, OO, EA, IE, SK, AA, RM, and VN interpreted the data. IU and FS drafted initial version, RS, AL, VA, JOA, EK, JTA, OO, EA, IE, SK, AA, RM, VN, and KK revising it critically for important intellectual content approved final approval of the version to be published. All authors remain in agreement to be accountable for all aspects of the work.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  13 in total

1.  Health seeking behaviour and challenges in utilising health facilities in Wakiso district, Uganda.

Authors:  David Musoke; Petra Boynton; Ceri Butler; Miph Boses Musoke
Journal:  Afr Health Sci       Date:  2014-12       Impact factor: 0.927

2.  The Role of Telehealth in Reducing the Mental Health Burden from COVID-19.

Authors:  Xiaoyun Zhou; Centaine L Snoswell; Louise E Harding; Matthew Bambling; Sisira Edirippulige; Xuejun Bai; Anthony C Smith
Journal:  Telemed J E Health       Date:  2020-03-23       Impact factor: 3.536

3.  Risky Behaviors of Youth Living in the Slums of Kampala: A Closer Examination of Youth Participating in Vocational Training Programs.

Authors:  Monica H Swahn; Portia Buchongo; Rogers Kasirye
Journal:  Vulnerable Child Youth Stud       Date:  2018-07-04

4.  Gender differentials and old age survival in the Nairobi slums, Kenya.

Authors:  Rachel Bennett; Gloria Chepngeno-Langat; Maria Evandrou; Jane Falkingham
Journal:  Soc Sci Med       Date:  2016-07-04       Impact factor: 4.634

5.  Influencing Factors of Knowledge, Attitude, and Practice regarding Medical Nutrition Therapy in Patients with Diabetes: A National Cross-Sectional Study in Urban China.

Authors:  Zijian Li; Haimin Jin; Wei Chen; Zilin Sun; Lulu Jing; Xiaohui Zhao; Sainan Zhu; Xiaohui Guo; China NEEDs Study Group
Journal:  J Diabetes Res       Date:  2017-08-16       Impact factor: 4.011

6.  Coronavirus Disease-2019: Knowledge, Attitude, and Practices of Health Care Workers at Makerere University Teaching Hospitals, Uganda.

Authors:  Ronald Olum; Gaudencia Chekwech; Godfrey Wekha; Dianah Rhoda Nassozi; Felix Bongomin
Journal:  Front Public Health       Date:  2020-04-30

7.  The outbreak of COVID-19: An overview.

Authors:  Yi-Chi Wu; Ching-Sung Chen; Yu-Jiun Chan
Journal:  J Chin Med Assoc       Date:  2020-03       Impact factor: 2.743

Review 8.  The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - an update on the status.

Authors:  Yan-Rong Guo; Qing-Dong Cao; Zhong-Si Hong; Yuan-Yang Tan; Shou-Deng Chen; Hong-Jun Jin; Kai-Sen Tan; De-Yun Wang; Yan Yan
Journal:  Mil Med Res       Date:  2020-03-13

9.  Assessing the Knowledge, Attitudes, and Practices of Students Regarding Ebola Virus Disease Outbreak.

Authors:  Kourosh Holakouie-Naieni; Alireza Ahmadvand; Owais Raza; Abraham Assan; Adel Hussein Elduma; Alieu Jammeh; Aram Salih Mohammed Amin Kamali; Ahang Abdullah Kareem; Fatima Mahmud Muhammad; Hasnain Sabahat; Kabir Ozigi Abdullahi; Raeed Ahmad Saeed; Sami Najmaddin Saeed
Journal:  Iran J Public Health       Date:  2015-12       Impact factor: 1.429

10.  Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning.

Authors:  Shaheen A Abdulkareem; Ellen-Wien Augustijn; Tatiana Filatova; Katarzyna Musial; Yaseen T Mustafa
Journal:  PLoS One       Date:  2020-01-06       Impact factor: 3.240

View more
  12 in total

1.  Knowledge, Attitude, and Precautionary Measures Towards COVID-19 Among Medical Visitors at the University of Gondar Comprehensive Specialized Hospital Northwest Ethiopia.

Authors:  Hailemichael Abate; Chilot Kassa Mekonnen
Journal:  Infect Drug Resist       Date:  2020-12-02       Impact factor: 4.003

2.  Intention to vaccinate against COVID-19 and adherence to non-pharmaceutical interventions against COVID-19 prior to the second wave of the pandemic in Uganda: a cross-sectional study.

Authors:  Solomon Tsebeni Wafula; Innocent B Mugume; Benjamin Sensasi; Solome Okware; Alexander Chimbaru; Miriam Nanyunja; Ambrose Talisuna; Richard Kabanda; Tabley Bakyaita; Rhoda K Wanyenze; Jayne Byakika-Tusiime
Journal:  BMJ Open       Date:  2022-06-02       Impact factor: 3.006

3.  Assessing Knowledge, Attitudes and Practices Towards COVID-19 Public Health Preventive Measures Among Patients at Mulago National Referral Hospital.

Authors:  Nelson Twinamasiko; Ronald Olum; Anna Maria Gwokyalya; Innocent Nakityo; Enock Wasswa; Emmanuel Sserunjogi
Journal:  Risk Manag Healthc Policy       Date:  2021-01-20

4.  Use of face masks to limit the spread of the COVID-19 among western Ugandans: Knowledge, attitude and practices.

Authors:  Franck Katembo Sikakulya; Robinson Ssebuufu; Simon Binezero Mambo; Theophilus Pius; Annet Kabanyoro; Elizabeth Kamahoro; Yusuf Mulumba; Jean Kakule Muhongya; Patrick Kyamanywa
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

5.  Towards Covid-19 Literacy: Investigating the Literacy Levels of University Students in Colombia.

Authors:  Pablo Antonio Archila; Giovanna Danies; Jorge Molina; Anne-Marie Truscott de Mejía; Silvia Restrepo
Journal:  Sci Educ (Dordr)       Date:  2021-04-19       Impact factor: 2.114

6.  Knowledge, attitudes, and practices of the general population about Coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis with policy recommendations.

Authors:  S Saadatjoo; M Miri; S Hassanipour; H Ameri; M Arab-Zozani
Journal:  Public Health       Date:  2021-03-24       Impact factor: 4.984

7.  Antibiotic Resistance Awareness among Undergraduate Students in Quito, Ecuador.

Authors:  David Ortega-Paredes; César Marcelo Larrea-Álvarez; Lilibeth Torres-Elizalde; Sofia de Janon; Christian Vinueza-Burgos; Luis Hidalgo-Arellano; Miroslava Anna Šefcová; Gabriel Molina-Cuasapaz; Esteban Fernandez-Moreira; Marco Larrea-Álvarez
Journal:  Antibiotics (Basel)       Date:  2022-02-03

8.  Misconceptions on COVID-19 Risk Among Ugandan Men: Results From a Rapid Exploratory Survey, April 2020.

Authors:  Keneth Iceland Kasozi; Ewan MacLeod; Fred Ssempijja; Michael W Mahero; Kevin Matama; Grace Henry Musoke; Kevin Bardosh; Robinson Ssebuufu; Florence Wakoko-Studstil; Isaac Echoru; Emmanuel Tiyo Ayikobua; Regan Mujinya; Grace Nambuya; Hope Onohuean; Gerald Zirintunda; Justine Ekou; Susan Christina Welburn
Journal:  Front Public Health       Date:  2020-07-28

9.  A Descriptive-Multivariate Analysis of Community Knowledge, Confidence, and Trust in COVID-19 Clinical Trials among Healthcare Workers in Uganda.

Authors:  Keneth Iceland Kasozi; Anne Laudisoit; Lawrence Obado Osuwat; Gaber El-Saber Batiha; Naif E Al Omairi; Eric Aigbogun; Herbert Izo Ninsiima; Ibe Michael Usman; Lisa M DeTora; Ewan Thomas MacLeod; Halima Nalugo; Francis P Crawley; Barbara E Bierer; Daniel Chans Mwandah; Charles Drago Kato; Kenedy Kiyimba; Emmanuel Tiyo Ayikobua; Linda Lillian; Kevin Matama; Shui Ching Nelly Mak; David Onanyang; Theophilus Pius; David Paul Nalumenya; Robinson Ssebuufu; Nina Olivia Rugambwa; Grace Henry Musoke; Kevin Bardosh; Juma John Ochieng; Fred Ssempijja; Patrick Kyamanywa; Gabriel Tumwine; Khalid J Alzahrani; Susan Christina Welburn
Journal:  Vaccines (Basel)       Date:  2021-03-12

10.  Anxiety, Anger and Depression Amongst Low-Income Earners in Southwestern Uganda During the COVID-19 Total Lockdown.

Authors:  Victor Archibong; Ibe Michael Usman; Keneth Iceland Kasozi; Eric Osamudiamwen Aigbogun; Ifie Josiah; Ann Lemuel Monima; Robinson Ssebuufu; Gaudencia Chekwech; Swase Dominic Terkimbi; Okon Owoisinke; Ngala Elvis Mbiydzenyuy; Azeez Adeoye; Joshua Ojodale Aruwa; Adam Moyosore Afodun; Saidi Odoma; Fred Ssempijja; Emmanuel Tiyo Ayikobua; John Tabakwot Ayuba; Viola Nankya; Comfort Onongha; Sussan Henry; Kevin Matama; Helen Yusuf; Halima Nalugo; Ewan MacLeod; Susan Christina Welburn
Journal:  Front Public Health       Date:  2021-12-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.