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. 2021 Mar 15;16(3):e0248189. doi: 10.1371/journal.pone.0248189

SARS-CoV-2 (COVID-19 pandemic) in Nigeria: Multi-institutional survey of knowledge, practices and perception amongst undergraduate veterinary medical students

Oluwawemimo Oluseun Adebowale 1,*, Olubukola Tolulope Adenubi 2, Hezekiah Kehinde Adesokan 3, Abimbola Adetokunbo Oloye 4, Noah Olumide Bankole 5, Oladotun Ebenezer Fadipe 6, Patience Oluwatoyin Ayo-Ajayi 7, Adebayo Koyuum Akinloye 8
Editor: Adewale L Oyeyemi9
PMCID: PMC7959340  PMID: 33720966

Abstract

The novel Coronavirus SARS-CoV-2 (COVID-19) is a global pandemic with an increasing public health concern. Due to the non-availability of a vaccine against the disease, non-pharmaceutical interventions constitute major preventive and control measures. However, inadequate knowledge about the disease and poor perception might limit compliance. This study examined COVID-19-related knowledge, practices, perceptions and associated factors amongst undergraduate veterinary medical students in Nigeria. A cross-sectional web survey was employed to collect data from 437 consenting respondents using pre-tested self-administered questionnaire (August 2020). Demographic factors associated with the knowledge and adoption of recommended preventive practices towards COVID-19 were explored using multivariate logistic regression at P ≤ 0.05. The respondents’ mean knowledge and practice scores were 22.7 (SD ± 3.0) and 24.1 (SD ± 2.9), respectively with overall 63.4% and 88.8% displaying good knowledge and satisfactory practice levels. However, relatively lower proportions showed adherence to avoid touching face or nose (19.5%), face mask-wearing (58.1%), and social distancing (57.4%). Being in the 6th year of study (OR = 3.18, 95%CI: 1.62–6.26, P = 0.001) and female (OR = 2.22, 95% CI = 1.11–4.41, P = 0.024) were significant positive predictors of good knowledge and satisfactory practices, respectively. While only 30% of the respondents perceived the pandemic as a scam or a disease of the elites (24.0%), the respondents were worried about their academics being affected negatively (55.6%). Veterinary Medical Students in Nigeria had good knowledge and satisfactory preventive practices towards COVID-19; albeit with essential gaps in the key non-pharmaceutical preventive measures recommended by the WHO. Therefore, there is a need to step up enlightenment and targeted campaigns about COVID-19 pandemic.

Introduction

The COVID-19 pandemic is an ongoing infection that has spread to over 188 countries globally with over 245, 984 new cases, 25,602,665 confirmed, and 852,758 deaths as at September 2nd 2020 [1]. The disease was first reported to have originated from Wuhan, China and the causative agent identified as a novel coronavirus, Severe Acute Respiratory Syndrome (Coronavirus‐2 SARS‐CoV‐2) [2]. This disease is similar to the previously emerged SARS-CoV and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV). COVID-19 was announced as a pandemic by the World Health Organization and disease of a public health emergency globally on March 12, 2020 [2]. Subsequently, countries globally have had to implement global standard control strategies, which had hitherto not been employed since the Spanish Flu epidemic. These measures, which included travel restrictions, lockdowns or curfews, workplace hazard controls, closure of public facilities including pubs, restaurants, gyms, schools and higher institutions, strict hand hygiene practices, social distancing and the wearing of facemasks have impacted lives on a global scale. Despite these mitigation measures, the number of cases is still on the increase globally with the Americas, Europe and South-East Asia badly affected [1].

Nigeria reported its index case of COVID-19 on February 27, 2020; incidentally, the first in Nigeria and West Africa according to the Nigerian Centre for Disease Control [3]. Subsequently, a lockdown or curfew in various states was implemented to contain the fast spread of the virus. All citizens except those on essential duties were expected to stay at home and maintain good handwashing hygiene practices, local and international travels were restricted, businesses, offices, public gatherings (including religious places), schools and universities were closed, and public and private sports cancelled. According to the NCDC, more than 286,000 tests, 43,537 confirmed positive cases, 22,567 active cases, 20,087 discharges and 883 human deaths were reported as at the commencement of this study, August 1st, 2020 [3] across 36 states in the country, including the Federal Capital Territory (FCT), Abuja. However, the numbers of cases and deaths are on the rise with 56,177 confirmed cases, 1,078 fatalities as at the time of article submission (September 12th, 2020).

The pandemic has brought about huge negative consequences on business, education, health, and tourism globally [4]. Presently, primary, secondary and tertiary institutions in Nigeria are still closed and this has seriously affected millions of students in tertiary institutions who have their semesters cancelled or suspended due to the pandemic. While many other countries have switched to virtual learning, many tertiary institutions within Nigeria lack the various online educational platforms or facilities for such method of teaching [5], which could worsen the situation for students in the country. Several studies have reported students’ mental health becomes greatly affected when faced with a public health emergency and academic delays, which has been positively correlated with anxiety levels [4, 69]. Studies by previous authors had shown that COVID-19 has a profound impact on the public, medical students, dental medical students, and radiology trainees, as well as the knowledge, practices and attitudes [1013] but none, is known yet about veterinary medical students in Nigeria. Adequate knowledge among individuals measures the first line of defence against this disease [14]. It is therefore important to understand the knowledge, views, adherence to the Nigerian government control policies among the veterinary student population.

To the best of our knowledge, this is the first study that would investigate the knowledge, preventive practices and perceived impacts (KPP) of COVID-19 pandemic among veterinary medical students in Nigeria.

Materials and methods

Study design and setting

This cross-sectional, multi-institutional web survey was conducted from August 1st to 18th, 2020 among undergraduate veterinary students in Nigeria, a West African country that is comprised of 36 states categorized into six geopolitical zones–South West, South East, South South, North East, North West, North Central and the Federal Capital Territory (FCT). The country runs the Doctor of Veterinary Medicine (DVM) programme, a six-year course in twelve universities and regulated by the Veterinary Council of Nigeria (VCN). The programme is divided into three phases namely, the preclinical (year two and three i.e. DVM 1 and 2), paraclinical (year four i.e. DVM 3) and clinical (year five and six i.e. DVM 4 and 5).

Study population structure, sample size and sampling

The study population included veterinary medical students in 11 veterinary schools in the country. These universities and their respective geopolitical zones are University of Nigeria, Nsukka, Enugu State, Michael Okpara University of Agriculture, Umudike, Abia State (South East); Federal University of Agriculture, Makurdi, Benue State, University of Jos, Plateau State, University of Ilorin, Kwara State (North Central); Ahmadu Bello University, Zaria, Kaduna State, Usmanu Danfodiyo University, Sokoto, Sokoto State (North West); Federal University of Agriculture, Abeokuta, Ogun State, University of Ibadan, Ibadan, Oyo State ((South West); University of Maiduguri, Borno, Borno State (North East); and the University of Abuja (FCT) Fig 1.

Fig 1. The spatial distribution of veterinary schools of respondents.

Fig 1

The inclusion criteria for the participants were 1) students must be fully registered in any one of the veterinary schools previously listed, 2) and must be in DVM 1 (year 2) to DVM 5 (year 6). One university was excluded from the study as it was yet to reach the clinical phase of the veterinary programme. Similarly, Year 1 students were excluded largely because of non-exposure to core veterinary courses. A total number of all the veterinary medical students who were eligible to participate in the online survey was 3,724. Fig 2 provides the flowchart process for student recruitment for the online survey.

Fig 2. The flowchart recruitment process of veterinary medical students for the online survey recruitment for the online survey.

Fig 2

The sample size for this survey was calculated based on the assumptions that poor levels of knowledge and practices among respondents were 50%, an absolute precision of 95% confidence interval, and an acceptable error of 5%. Using Working in Epidemiology (WinEpi v.2.0), a total of 385 participants was estimated while a 10% non-contingency was added to make up for non-response, giving a minimum target sample size of 423 participants [15]. The total sample size was divided equally among the veterinary schools (43 students per university). We then conveniently recruited a minimum of nine at each level (DVM 1-DVM 5) across the participating universities while participation was made voluntary. We employed an online survey due to the COVID pandemic and lockdown policy in the country as at the time of study. Briefly, prior commencement of the study, the national president of the Association of Veterinary Medical Students (AVMS) and his counterparts at the various university chapters were contacted. A detailed information on the project focus, aims, and plans for student recruitment were discussed over several online meetings. Following their consent, invitations were sent to students nationwide to participate in the study using the WhatsApp platforms of the Association of Veterinary Medical Students (AVMS) of the various university chapters. The link to the online survey questionnaire was included in the sent invitations and a brief description of the purpose of the study was provided. Also, class coordinators at various levels (DVM 1 to 5) were further assigned to share the questionnaire on their respective class WhatsApp platforms, while three of the authors were delegated to follow up on this process to enhance participation. Also, call credit top up cards were offered as incentives for participation and completion of the survey.

Questionnaire design and pretest

The questionnaire using google forms (Alphabet Inc., California, USA) comprised a total of 41 questions (both open and closed-ended) written in English and adapted from WHO resources and other pertinent studies [2, 4, 1620]. The questionnaire was divided into four sections and comprised questions on students’ demographics, knowledge, practices, and perceptions towards COVD-19.

The first section consisted of questions assessing the socio-demographic profiles of the respondents (further considered as our independent variables). These included age as at last birthday (in years), sex, religion, the name of Institution, programme year, state of residence during the lockdown, number of household members, and type of lockdown instituted by the state government where resident.

To measure students’ general knowledge about COVID-19, an 11-item questionnaire that assessed the source of information about COVID-19 and general awareness questions were provided in section B. Question one addressed the various sources of updates and information on the pandemic were requested. The other ten questions focused on clinical presentation, transmission, prevention, and control strategies of COVID-19. Question asked included the cause of COVID-19 infection, incubation period, risk conditions, country of the first outbreak, modes of transmission, identification of common symptoms of the infection, if it was possible to have asymptomatic individuals, and methods of prevention, control and treatment. Each correct answer weights 1 point and 0 for incorrect or I don’t know answers. Score for each responses was summed up to give 31 points.

Section C of the questionnaire assessed respondents’ practices during the pandemic and comprised 3 Likert-item questions (10) were adopted from recommended guidelines of the WHO and Ministry of Health, Nigeria for the prevention of COVID-19 transmission. These included handwashing/sanitizing, avoiding crowded places, keeping physical/social distance, avoiding touching of face or nose, avoiding handshakes, use of facemasks, and medications. The responses were never, sometimes, all the time each weighing 1, 2, and 3 points respectively. The Score for each response was summed up to give 30 points.

The questions in section D were structured to evaluate respondents’ perceptions. The 5-point Likert item questions (12) were designed to assess students’ perceptions of the infection based on the country’s peculiarity. Some of the questions asked included whether the disease was a scam, affected only the elites, impact on academics and virtual learning in higher institutions, stigmatization, whether participants were optimistic the pandemic would be brought under control, and if they felt depressed. The agreement scale ranged from ‘1’ for “strongly agree” to ‘5’ for “strongly disagree”.

The questionnaire was reviewed by a panel of experts and revised based on their comments. Subsequently, it was pilot-tested (n = 13 students from all the eleven veterinary schools, who were excluded in the main study), to check for its applicability and clarity before commencement of the study. All the necessary modifications were done based on outcome of the pilot study. The completion of the online survey took about 8 minutes and designed to ensure duplicate entries was avoided by preventing users with the same IP address access to the survey twice in the google form settings. Detailed information on the questionnaire is presented in S1 File.

The online survey was conducted based on the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), and guidelines for good practice in the conduct and reporting of online research [21].

Ethical approval

The study protocol was approved by the College of Veterinary Medicine, Federal University of Agriculture Research Ethics Committee (reference number: FUNAAB/COLVET/CREC/2020/07/01). After providing detailed description of the study and before invitations, informed consent was obtained from the presidents of the different AVMS chapters. Participants’ consent was obtained verbally and witnessed by the class coordinators of the various levels (HOCs–DVM 1 to 5). Participation in the study was voluntary without any attached penalty for refusal; personal identifiers were not collected and information from respondents was treated confidentially. Every participant was notified of his/her right to discontinue at any stage of the study according to the World Medical Association Declaration of Helsinki, 2001 [22].

Data analysis

Data generated were captured and filtered in Microsoft Excel®, 2013 (Microsoft Corporation, Redmond, WA). Data analyses were conducted by GraphPad Prism 8.0.0 (descriptive statistics and figure presentations) and Stata 12.0 (inferential statistics). Descriptive statistics were conducted for all variables and presented in forms of frequencies and proportions/percentages using Microsoft Excel® (2013). As for the descriptive statistical methods, the following were used: measures of central tendency (arithmetic mean and median), measures of variability (standard deviation), and as absolute numbers (n) and percentage representation. To evaluate the knowledge level of respondents, a numeric pattern of scoring was used by giving a score of “1” for the “correct answer” and “0” for an “incorrect” or “I don’t know” response. Similarly, the practice level was assessed by giving scores of “1” for the “never” and “2” for “sometimes” and 3 for “all the time” responses. The levels of measured outcomes were expressed as mean and standard deviation (Mean ± SD). The measured outcomes were tested for normality using the using Kolmogorov-Smirnov (> 0.05), which informed our use of (Mean ± SD). The scores were thereafter converted to percentages, and based on the students’ mean scores in knowledge and practices categories, cut-off points for good / satisfactory were set at ≥70%, while those below (<70%) were considered to have poor/ unsatisfactory levels. These cut-off points were so set since it is expected that such students on medical profession should have basic knowledge and demonstrate practices towards issues related to health. Besides, such cut-off points had earlier been employed in a similar study [23]. Mean scores were compared across demographic categories using ANOVA and independent t-tests where appropriate. For post hoc comparision Dunnett’s test was performed.

Associations between the socio-demographics of respondents (independent variables) and binary outcomes of knowledge and practices (dependent variables) using chi-square tests were determined. To determine potential predictors influencing knowledge and practice levels towards COVID-19 prevention among undergraduate veterinary students in Nigerian universities, outcomes significant at p ≤ 0.25 at the univariate analysis were processed further by a stepwise forward likelihood multivariate analysis (logistic regression model) using Stata 12.0 was performed. This was chosen in order to avoid variation in results from individual univariate tests of different measures due to random chance. The decision for a liberal p-value (p ≤ 0.25) at this step was to ensure important potential predictor/risk variables were included in the model. A p<0.05 was considered statistically significant and odds ratios were computed to determine the strength of associations between variables at 95% confidence intervals (CIs). All illustrations were performed with GraphPad Prism 8.0 and Microsoft Excel®.

Results

Demographic information of respondents

A total of 437 respondents participated in this study across Nigeria, which provided a participation rate of more than 100.0%. The mean age of respondents was 22.14 ± 2.99 years, and the median number of members in a household was 6 (min = 1, max = 90). The highest percentage of the respondents (17.2%, 95% CI; 13.9–21.0) were in the Federal University of Agriculture, Abeokuta and DVM 4 (year 5, 23.8%, 95% CI; 20.0–28.0). Majority of respondents resided in the South West (38.9%, 95% CI; 34.6–43.7) and North Central (38.2%, 95% CI; 33.7–42.8) regions of the country. The demographics of the study sample are presented in Table 1.

Table 1. Socio-demographic profile of veterinary medical students in Nigeria that participated in the online survey.

Variable Category Proportions
1. Age (in years) 16–20 138 (31.7)
21–25 249 (57.1)
25–30 43 (9.9)
31–35 5 (1.1)
>35 1 (0.2)
2. Sex Male 260 (59.5)
Female 177 (40.5)
3. Religion Christianity 316 (72.3)
Islam 119 (27.2)
Others 2 (0.5)
4. Name of University FUNAAB 75 (17.2)
UI 73 (16.7)
UNILORIN 26 (5.9)
UNIABUJA 71 (16.2)
UNIJOS 27 (6.2)
UNIMAID 18 (4.1)
UDUS 47 (10.8)
ABU 14 (3.2)
MOUAU 8 (1.8)
UAM 60 (13.7)
UNN 18 (4.1)
5. Level/Year of study DMV 1 (year 2) 92 (21.1)
DVM 2 (Year 3) 83 (19.0)
DVM 3 (Year 4) 82 (18.8)
DVM 4 (Year 5) 104 (23.8)
DVM 5 (Year 6) 76 (17.8)
6. No. of household members Less than 5 96 (22.3)
5–10 295 (68.4)
>10 40 (9.3)
7. Geopolitical region North Central 166 (38.2)
North East 25 (5.7)
North West 40 (9.2)
South East 21 (4.8)
South South 13 (3.0)
South West 170 (39.1)
8. Type of lockdown Partial 299 (68.4)
Total 103 (23.6)
Not Sure 35 (8.0)

FUNAAB—Federal University of Agriculture, Abeokuta; UI—University of Ibadan, Ibadan; UNILORIN—University of Ilorin, Ilorin; UNIABUJA—University of Abuja, Abuja; UNIJOS—University of Jos, Jos; UNIMAID—University of Maiduguri, Maiduguri; UDUS—Usmanu Danfodiyo University, Sokoto; ABU—Ahmadu Bello University, Zaria; MOUAU—Michael Okpara University of Agriculture, Umudike; UAM—University of Agriculture, Makurdi; UNN—University of Nigeria, Nsukka.

Respondents knowledge level towards COVID– 19

The most preferred source was through social media/internet platforms (n = 403), including Facebook, Instagram, and Twitter. The less employed sources of information were newspapers (n = 126) and classrooms (n = 98).

The respondents showed an overall mean knowledge score of 22.7 (SD ± 3.0; score 0 → 31), suggesting a mean level of 73.4% (SD ± 9.7%, range 38.7–93.5%) on COVID– 19. A total of 277 (63.4%) students had knowledge scores ≥ 70% cut off, however, none responded correctly to all the knowledge items (71–93.5%). Knowledge varied significantly among the age groups (p = 0.0042) with those within groups 21–25 years and 26–30 years having higher scores (p = 0.011). Similarly, knowledge scores significantly varied among DVM levels (p = 0.0001) and Veterinary schools (p = 0.027) with students in DVM 5 (Year 6) outperforming those in the preclinical levels DVM 1 (p<0.0001), DVM 2 (p = 0.024) and DVM 3 (p = 0.042).

High proportions of students correctly identified COVID– 19 as a viral infection (98.9%, n = 432) and that it originated from Wuhan China (99.3%, n = 434), while 27.9% correctly (n = 122) reported it as similar to both SARS-CoV and MERS-CoV. Clinical signs associated with COVID-19 as identified by respondents were as follows: fever (97.5%, n = 426), fatigue (70.9%, n = 310), dry cough (86.5%, n = 378), runny nose (38.0%, n = 166), shortness of breath (91.5%, n = 400), myalgia (35.0%, n = 153), loss of taste (40.0%, n = 175), loss of smell (46.0%, n = 201), and diarrhoea/vomiting (21.3%, n = 93). Only 5 (1.1%) of the respondents correctly identified all the possible clinical presentations. A high proportion (84.2%, n = 368) knew that the COVID-19 virus spreads via respiratory droplets of infected people, and asymptomatic state of infection and transmission is possible (88.3%, n = 386). Also, majority of the respondents knew the application of alcohol-based sanitizers (95.9%), soap and detergent (75.0%), high temperature inactivates or kills the virus (61.1%). Meanwhile, 308 (70.5%) were aware there was no cure for the disease. Table 2 presents details of knowledge components and students’ performance on various questions on COVID-19.

Table 2. Knowledge of COVID-19 among veterinary medical students in Nigeria, August 2020 (n = 437).

Knowledge items and correct answers Frequency (%)
Correct Incorrect
1. COVID-19 is caused by a virus 432 (98.9) 5 (1.10
2. Incubation period of the disease is 2–14 days 410 (93.8) 27 (6.2)
3. COVID- 19 is similar to MERS-CoV 134 (30.7) 303 (69.3)
 SARS-CoV 288 (65.9) 149 (34.1)
4. COVID- 19 was first reported in China 434 (99.3) 3 (0.7)
5. Possible common symptoms of COVID- 19: Fever 426 (97.5) 11 (2.5)
 Dry cough 378 (86.5) 59 (13.5)
 Runny nose 166 (38.0) 271 (62.0)
 Shortness of breath 400 (91.5) 37 (8.5)
 Joint/Muscle ache 153 (35.0) 284 (65.0)
 Loss of taste 175 (40.0) 262 (60.0)
 Loss of smell 201 (46.0) 236 (54.0)
 Diarrhoea/vomiting 93 (21.3) 344 (78.7)
 Fatigue 310 (70.9) 127 (29.1)
6. COVID 19 can be transmitted through Direct contact with an infected person 401 (91.8) 36 (8.2)
 Air droplet 368 (84.2) 69 (15.8)
 Indirect contact such as contaminated surfaces 285 (65.2) 152 (34.8)
 Handshake 357 (81.7) 80 (18.3)
 Kissing 303 (69.3) 134 (30.7)
7. It is possible to have COVID 19 and not show symptoms 386 (88.3) 51 (11.7)
8. What can kill the virus: Alcohol-based sanitizers 419 (95.9) 18 (4.1)
 Soap/detergents 328 (75.1) 109 (24.9)
 High-temperature application 267 (61.1) 170 (38.9)
9. Pets have been scientifically proven to transmit COVID- 19 184 (42.1) 253 (57.9)
10. There is a cure for COVID 19 308 (70.5) 129 (29.5)

COVID-19 and self-reported preventive practices of respondents

Majority of the students reported maintaining good personal hygiene (n = 386, 84.2%), while a lower proportion would not touch their face or nose all the time (n = 85, 19.5%). Averagely, respondents observed the stay at home policy (n = 219, 50.1%), face mask-wearing in public (n = 254, 58.1%), and social distancing from people (n = 251, 57.4%). Up to 66.4% (n = 299) reported never self-medicating to prevent COVID- 19 infection. A significant association between the knowledge that there was no cure for COVID-19 and not self- medicating was observed (p = 0.01). Fig 3 further describes in details respondents’ practices towards preventing being infected and community spread.

Fig 3. Self–reported practices by veterinary medical students in Nigeria towards preventing infection and community spread during the COVID– 19 pandemic.

Fig 3

The overall preventive practice mean score of students towards COVID- 19 was 24.1 (SD ± 2.9; score 0 → 30), suggesting a mean level of 80.3% (SD ± 9.6%, range 40.0–100.0%). The practice level was generally satisfactory with 88.8% (n = 388) of the respondents having the ≥ 70% cut off, while one student reported observing all the preventive measures. A positive correlation between preventive practice measures and knowledge about COVID– 19 was observed, although weak (r = 0.16, n = 437, p = 0.0009, 95% CI; 6.2–25.0). The practice scores were similar across DVM levels (p = 0.09), geopolitical regions of residence (p = 0.36), and lockdown type (p = 0.10).

Bivariate analysis for the association between sociodemographic profiles of respondents and their knowledge and practice levels on COVID-19 pandemic

The bivariate analysis showed that only age (p = 0.017) and year of study (p = 0.009) were significantly associated with knowledge levels at p ≤ 0.25 (Table 3).

Table 3. Bivariate analysis of veterinary medical students’ socio-demographics with the knowledge levels about COVID-19 pandemic in Nigeria.

Variable Category Knowledge level X2 P value
Good Poor
Age (in years) 16–20 79 (57.2) 59 (42.8)
21–25 158 (63.4) 91 (36.6) 8.12 0.017*
≥25 40 (80.0) 10 (20.0)
Sex Male 164 (63.1) 96 (36.9)
Female 113 (63.8) 64 (36.2) 0.03 0.871
Religion Christianity 202 (63.7) 115 (36.3)
Islam 75 (62.5) 45 (37.5) 0.06 0.813
Level/Year of study DMV 1 (year 2) 48 (52.2) 44 (47.8)
DVM 2 (Year 3) 48 (57.8) 35 (42.2)
DVM 3 (Year 4) 52 (63.4) 30 (36.6) 13.42 0.009*
DVM 4 (Year 5) 70 (67.3) 34 (32.7)
DVM 5 (Year 6) 59 (77.6) 17 (22.4)
No. of household members Less than 5 120 (62.2) 73 (37.8)
5–10 129 (63.9) 73 (36.1)
>10 28 (66.7) 14 (33.3) 0.34 0.845
Geopolitical region North Central 109 (65.7) 57 (34.3)
South West 108 (63.5) 62 (36.5)
**Others 60 (59.4) 41 (40.6) 1.06 0.588
Type of lockdown Partial 196 (65.6) 103 (34.4)
Total 60 (58.2) 43 (41.8) 1.95 0.378
Not Sure 21 (60.0) 14 (40.0)
Total 277 (63.4) 160 (36.6)

* P ≤ 0.25;

**Others: North east, North west, South east, South south

Similarly, sex (p = 0.012), religion (p = 0.076), and geopolitical region (p = 0.022) were associated factors with practice level of respondents towards COVID-19 pandemic (Table 4).

Table 4. Bivariate analysis of veterinary medical students’ sociodemographic with the practice levels about COVID-19 pandemic in Nigeria.

Variable Category Practice level X2 P value
Satisfactory Unsatisfactory
Age (in years) 16–20 119 (86.2) 19 (13.8)
21–25 224 (90.0) 25 (10.00) 0.61 0.737
≥25 44 (88.0) 6 (12.0)
Sex Male 222 (85.4) 38 (14.6)
Female 165 (93.2) 12 (6.8) 6.38 0.012*
Religion Christianity 286 (90.2) 31 (9.8)
Islam 101 (84.2) 19 (15.8) 3.15 0.076*
Level/Year of study DMV 1 (Year 2) 79 (85.9) 13 (14.1)
DVM 2 (Year 3) 73 (88.0) 10 (12.0)
DVM 3 (Year 4) 74 (90.2) 8 (9.8) 1.06 0.901
DVM 4 (Year 5) 93 (89.5) 11 (10.5)
DVM 5 (Year 6) 68 (89.5) 8 (10.5)
No. of household members Less than 5 174 (90.2) 19 (9.8)
5–10 177 (87.6) 25 (12.4) 1.00 0.608
>10 36 (85.7) 6 (14.3)
Geopolitical region North Central 154 (92.8) 12 (7.2) 7.67 0.022*
South West 150 (88.2) 20 (11.8)
**Others 82 (81.2) 19 (18.8)
Type of lockdown Partial 264 (88.3) 35 (11.7)
Total 93 (90.3) 10 (9.7) 0.61 0.739
Not Sure 30 (85.7) 5 (14.3)
Total 387 (88.8) 50 (11.2)

* Significant at P ≤ 0.25;

**Others: North east, North west, South east, South south

Multivariate analysis for the association between sociodemographic profiles of respondents and their knowledge and practice levels on COVID-19 pandemic

The multivariate logistic regression analysis reveals only the level/year of study (p = 0.014) and sex (p = 0.024) of respondents respectively were significant positive predictors of good knowledge and practice levels towards COVID-19. Respondents in Year 6 (clinical) were about 3.2 times more likely to have good knowledge of COVID-19 pandemic (OR = 3.18, 95%CI: 1.62–6.26, p = 0.001) than those in Year 2 (non-clinical). On the other hand, the female had higher odds of demonstrating satisfactory practices regarding COVID-19 pandemic (OR = 2.22, 95%CI = 1.11–4.41, p = 0.024) than the males (Table 5). Besides, respondents in the regions marked others (OR = 0.37, 95%CI: 0.17–0.78, p = 0.009) had significantly lowest odds of demonstrating satisfactory practices regarding COVID-19 (Table 5).

Table 5. Multivariate logistic regression analysis of factors associated with knowledge and practice levels on COVID-19 pandemic among veterinary medical students in Nigeria.
Variable Category Knowledge level Practice
AOR 95%CI P value AOR 95%CI P value
Age (in years) 16–20 1
21–25 1.30 0.85–1.98 0.230
≥25 2.99 1.38–6.46 0.005
Sex Male 1
Female 2.22 1.11–4.41 0.024*
Religion Christianity 1
Islam 0.63 0.34–1.20 0.159
Level/Year of study DMV 1 (year 2) 1.00
DVM 2 (Year 3) 1.26 0.69–2.29 0.453
DVM 3 (Year 4) 1.59 0.87–2.92 0.135
DVM 4 (Year 5) 1.89 1.06–3.37 0.032
DVM 5 (Year 6) 3.18 1.62–6.26 0.001
Geopolitical region North Central 1
South West 0.72 0.34–1.52 0.384
**Others 0.37 0.17–0.78 0.009*

* Significant at P ≤ 0.05, AOR = Adjusted Odds Ratio, 1 = Reference

Perceptions about COVID– 19

Most of the respondents reported they have seen persons infected with COVID-19 and do not think the pandemic was a scam (68.6%, n = 300), or a disease of the elites (76.0%, n = 332). Also, 73.9% (n = 323) respondents disagreed they had internet facilities to educate themselves with online programmes related to the profession. Averagely, 55.6% (n = 243) students were worried their academic performance would be affected negatively and 50.1% (n = 199) spend more time on social media than studying. A good proportion (71.6%, n = 313) of the students were optimistic about the pandemic being over soon while 44.1% agreed being depressed as a result of the pandemic (Fig 4).

Fig 4. The perceptions of veterinary medical students in Nigeria towards COVID-19 pandemic and the impact on their learning and emotional well being.

Fig 4

Discussion

This study, which aptly reflected the KPP of Veterinary medical student towards the COVID-19 pandemic, is the first in Nigeria and Africa to the best of the authors’ knowledge. The majority of the students had good knowledge and satisfactory practices regarding COVID-19 pandemic; however, there were important gaps in the key non-pharmaceutical preventive measures recommended by the WHO with implications for public health and disease control.

The study revealed a higher number of male respondents than females. This is similar to previous studies which showed a reflection of male dominance in the veterinary profession in Nigeria [1517, 24]. Female veterinary students who participated in this study (40.5%), when compared with a similar and recent study conducted among veterinary professionals with 27.2% female respondents seems higher [17]. Presently, gender shift with more females than males in the veterinary profession especially in the Western world [2528] and in South Africa [29] is reported.

The respondents’ mean knowledge score was 22.7 (SD ± 3.0; 73.4%) with an overall 63.4% displaying good knowledge which seems satisfactory and similar to reports for medical students in Jordan with overall 69.5% showing good knowledge [30] and veterinary professionals in Nigeria (64.0%, [17]). The knowledge level displayed was higher than reports from two university communities in Pakistan (50.2%, [31] and Nigeria (59.5%, [16]) as well as among the public visiting a medical centre in Ethiopia (41.3%, [19]). However, other studies have recorded higher knowledge level towards the COVID- 19 pandemic among undergraduate students in China (82.3%, [32]), residents in North central Nigeria (99.5%, [33]), the United States (80%, [34]), and China (90.0%, [35]).

Majority of the veterinary medical students relied on the internet and social media to get information or updates about the pandemic, which might have contributed to the high level of knowledge acquired about COVID-19. This follows similar studies were the internet/social media was reported as the most common source of information for medical and non-medical students [10, 18, 30]. Several guidelines and information on COVID-19 have been uploaded online by WHO and NCDC immediately after pronouncing the guidelines. Also, the public receives constant notifications or reminders about these guidelines by network service providers in the country. It is, however important that government agencies should work towards dispelling misinformation, misconceptions, rumours or hoax news from illicit social media platforms, which have increased 50 times more during the pandemic [4].

Further, being students in their final year (which corresponds to the clinical year) than in non-clinical was a positive predictor for good knowledge about COVID- 19. This is not surprising because all veterinary schools engage students in clinical courses in veterinary public health, epidemiology of infectious/zoonotic diseases, mechanisms of disease spread and control. It is expected that the greater the exposure to clinical teaching in the final year of veterinary school, the more the students at this level will likely be keen or inquisitive to acquire more information or knowledge than others. Besides, respondents in the North West region had the lowest odds of having good knowledge of COVID-19 pandemic when compared with other geopolitical regions. This finding is very vital to planning an informed disease mitigation programme as such data are required in enhancing targeted educational programmes among university student populations in the country. Multi-stakeholder collaborative efforts and strategies should be promoted within institutions to contain pandemic among university students.

The level of preventive practices among the students (88.8%) was also commendable; however, there were some important gaps in public health concerns. Averagely, respondents (50.1%) observed the stay at home policy, face mask-wearing in public (58.1%), and social distancing from people (57.4%). While these three constitute key non-pharmaceutical preventive measures recommended by the WHO, it appears worrisome that only a little above average of the respondents adhered to these measures. Meanwhile, the issue of face masking is becoming debatable within some groups of people globally. Some see the policy as a bridge of human rights, while some other people feel uncomfortably hot and experience difficulty in breathing when wearing face masks. Our data on face masking is similar to other studies which showed that although people know it is one of the protective guidelines, many do not frequently comply with its use in public places [18, 31, 33, 34, 36]. Now that Colleges and Universities will soon be re-opened in Nigeria, targeted education and measures should be in place to ensure students comply with the key protective guidelines especially the wearing of face masks on resumption.

Majority of the respondents practiced good hygiene and did not use any self-medication as prophylaxis. It was observed that knowing that there was no cure for the virus significantly influenced the respondents’ choice not to self-medicate as a prophylactic measure. Female students displayed a satisfactory practice level twice more than male in this study. This is not surprising as the females are viewed to be more cautious than their male counterparts who often dare and take risks. Findings from Pakistan showed literate society, particularly women had good knowledge, optimistic attitudes, and practices towards COVID-19 [37]. Similar studies conducted in China and Pakistan showed preventative practices were better in the female population than males [31, 35]. Other studies, however, reported good practices were associated with age, gender and education [37, 38].

Again, the majority of the respondents had right perceptions about COVID-19 pandemic, as 76.0% perceived the disease as not a scam nor a disease of the elites (70.0%). Besides, the majority of the students held an optimistic attitude with 71.6% believing that COVID-19 would finally be successfully controlled. Such perceptions could promote global drive at containing the pandemic since this might eventually rub on their level of adherence to preventive measures. Importantly, the consequent perceived impacts of COVID-19 pandemic on academics in Nigeria by the respondents is a matter of concern. The respondents were worried their academic performance would be affected negatively (55.6%) and that they spent more time on social media than studying (50.1%). Many (74.0%) shared their dissatisfaction about the government tertiary institutions because of the inadequate online facilities or tools to perform virtual education in Nigeria during such a time like this. While many colleges and universities worldwide switch to online teaching to reduce people contact, public universities in Nigeria have not been able to achieve this.

Lastly, over 44.0% of student participants indicated having depression due to the pandemic. Several studies have shown the psychological impact of the epidemic on the general public, patients, medical staff, children, and older adults [6, 39, 40]. Students’ mental health is greatly affected and may worsen existing mental health problems when faced with a public health emergency, social isolation, and economic recession. In times like this, students need attention, assistance, and support from the community, family, and tertiary institutions [4]. The emotional status of the respondents, as reflected by their response to their perception about marital issues appears to favour disinterest in love relationship and marriage contraction. This might be attributed to more engaging thoughts about overcoming the prevailing pandemic.

Some limitations of the approach utilized in the study were identified. The introduction of enrolment and reporting biases may have resulted from the online survey making it non-representative. For the study, randomization was impossible due to the national lockdown, which could have possibly eliminated some of the biases. The non- probabilistic sampling approach, which is convenience and voluntary may have contributed to in the uneven distribution (coverage and participation) of student respondents from the different universities investigated. Furthermore, the poor internet accessibility or connectivity in the country (which may have varied from one institution location to another) and lack of funds to purchase data as complained by some students may have contributed to the lack of access to online questionnaire and participation. We are therefore cautious in generalizing the sample findings to the whole veterinary student populations in the country due to these limitations.

Conclusion

Although the knowledge and preventive practices of the veterinary students in this study were satisfactory, there were important gaps in some key preventive practices recommended by the WHO. Some of the identified KPP gaps in this study require urgent attention and must be targeted towards promoting strategic educational planning and behavioral changes. Also, e-learning facilities should be provided within the Nigerian universities, which must be constantly upgraded and usage maximized by staff and students where necessary to promote physical distancing as much as possible.

Supporting information

S1 File. Questionnaire on the knowledge, practices and perception of undergraduate veterinary students towards COVID-19 in Nigeria.

(DOCX)

Acknowledgments

We are grateful to the national and chapter presidents of the AVMS for their commitment towards the success of this project. The authors are grateful to all the veterinary students across Nigeria who responded to the survey.

Data Availability

The datasets have been deposited in Mendeley data. Adebowale, Oluwawemimo; Adenubi, Olubukola; Adesokan, Hezekiah; Oloye, Abimbola; Bankole, Noah; Fadipe, Oladotun; Ayo-Ajayi, Oluwatoyin; Akinloye, Adebayo (2020), “SARS-CoV-2 (COVID-19 Pandemic) in Nigeria: Multi-institutional Survey of Knowledge, Practices and Perception Amongst Undergraduate Veterinary Medical Students”, Mendeley Data, V1, doi: 10.17632/jy7hh77f8c.1.

Funding Statement

The author(s) received no specific funding for this work

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Decision Letter 0

Adewale L Oyeyemi

27 Oct 2020

PONE-D-20-28765

SARS-CoV-2 (COVID-19 pandemic) in Nigeria: Multi-institutional survey of knowledge, practices and perception amongst undergraduate veterinary medical students”

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Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This study is well conducted, ethically sound and relevant as it provides insight on the knowledge & Practices of this important Pandemic in the study population. I have a few comments and suggestions.

1) Line 78 “However, the numbers of cases and deaths are still on the rise…….” is this statement correct as at the time of writing????

2) Line 127-128 “At least, it was ensured one veterinary school was representative of each of the geopolitical zones in Nigeria” …… this statement is redundant as the only university that was not represented was the one that was excluded.

3) Lines 129-131 “A total of 385 participants were needed considering ………. with an acceptable error of 5%” ……….. were needed to achieve what??? Power????

4) Lines 131-132 “ 10% of the sample size was added to give a total of 423 participants …. 10% attrition = 478

5) Although it was stated in line 132 that ……” For student recruitment, a purposive and chain referral sampling techniques was performed” give details of how the sampling was done. What is the end point? How was the sample size distributed for the variuod schools etc

6) Line 150 “responses were scored” How???

7) Lines 190-192 “The levels of measured outcomes were expressed as mean and standard deviation (Mean ± SD)”……. Even if they are not normally distributed????

8) Line 197 “Variables significant at p ≤ 0.25 were processed further by the logistic regression” what inform the use of this cut off

9) I don’t know if the 95% CI in table 1 is necessary

10) The OR in table 5is it crude or adjusted????

11) The first sentence in the conclusion is not derived from your data

Reviewer #2: Line 130: In the methods, the required sample size was about 400. This is a standard for a KAP Questionnaire study. However, the sample size does not require response rate estimates. It requires the expected differences to be detected. Please reconsider this note in the writing up.

Line 133: “For student recruitment, a purposive and chain referral sampling 133 techniques was performed”. A brief description may be necessary as this is not a standard sampling method used for questionnaires.

Line 145:these questions are not clearly presented. Were they measured on a likert-scale? Yes/no? each Question had the same responses as for all the questions in the survey? Where did the 31 total sum come from? Summing all responses? Were they in the same direction?

Line 170: this was an online survey. Anyone could have answered if respondents received the link. How can you be sure it was only filled by Vet Med students?

Line 192: why was this cutoff point selected? Why not, for example, 75%? Or 80%?

Why were the responses converted from a likert scale into 0 and 1? This is a descriptive study and readers may want to see the actual scores? Such conversion will limit the data and affect the comparison between groups of subjects.

Results

Some variables in table 1 could be collapsed to make more sense of the presented data.

Figures are not clear and not of any added value.

Line 219: some of the percentages presented in this section are scary. Especially for Vet Med students who should be more informed about the disease. Knowledge questions should be properly presented in the methods.

Some of the knowledge points in table 2 are still controversial. How this was decided to be true or false is still under scientific discussion.

Table 3: a p value above 0.05 is not statistically significant but could be used to decide on variables for regression models. Please modify the table notes accordingly.

Also, university name and region may be collinear with each others. Having them in the same model will introduce noise and redundancy.

Also, sample size calculations are conducted for a KAP study where a prevalence is presented. Conducting a logistic regression may not be a good idea especially with the number within each cell of the table. Collapsing the categories within each variable is needed to be able to conduct a logistic regression analysis.

Accordingly, the results may not be sound and scientific and the conclusions are limited by such.

Reviewer #3: The authors have gathered enough data and subjected the data appropriate statistical analysis and the conclusions drawn are appropriate. The manuscript was well written and i recommend that it be published as submitted.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Ado Danazumi Geidam

Reviewer #2: Yes: khalid A Kheirallah

Reviewer #3: Yes: Prof. J. D. Amin

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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Attachment

Submitted filename: Plos one review.docx

Decision Letter 1

Adewale L Oyeyemi

4 Jan 2021

PONE-D-20-28765R1

SARS-CoV-2 (COVID-19 Pandemic) in Nigeria: Multi-institutional Survey of Knowledge, Practices and Perception Amongst Undergraduate Veterinary Medical Students

PLOS ONE

Dear Dr. Adebowale,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

There are still concerns on methodological clarity of the manuscript and the external validity of the results. At present the methods is not sufficiently described to support independent replication of the study. Please clarify and include a statement in the manuscript to confirm that the online survey was based on the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), and guidelines for good practice in the conduct and reporting of online research.

Eysenbach G. Improving the quality of Web surveys:the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) [published correction appears in doi:10.2196/jmir.2042] J Med Internet Res. 2004;6(3):e34. 10.2196/jmir.6.3 e34

It will be good if the authors, based on their local knowledge, provide an estimate of the total number of all the veterinary medical students (DV1 to DV5) in the study population (the 10 enlisted universities) that were eligible to participate in the study. This way the readers can make their independent judgment on the external validity of the results beyond the calculated sample size and the response rate. The last sentence of the limitation section seems tenuous. It is ambiguous to claim that self-selection and respondent biases or issue of generalizability  can be eliminated by having a response rate above the minimum estimated sample size. Using only limited number of participants in each school constitute a threat to the external validity of the results that is worth further discussion in the limitation section of the manuscript.

If possible, the authors should also consider to include the flow chart of the participants recruitment process to clearly indicate how many participants from each school click on the survey link (how many did not attempt any question), how many started the survey (how many started but did not complete) and how many finally completed the survey. Please take careful attention to address these and the other concerns of the reviewers.   

Please submit your revised manuscript by Feb 18 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Adewale L. Oyeyemi, Ph.D

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: 131-133----"The total sample size was divided equally among the veterinary schools (43 students per university). We purposively recruited a minimum of nine at each level (DVM 1-DVM 5) across the participating universities" – this is more like a Quota sampling; So the statement in 135 -136 “Purposive and convenience chain referral sampling technique was performed for student recruitment” needs to be rephrase

Reviewer #2: Statistical methods used to calculate the sample size related to KAP study and descriptive statistics using percentages and means for KAP. It does not allow comparisons and regression analyses. This was suggested initially and was not fully addressed. Using only a limited number of participants from each school does not mean you can compare by year and school, for example. An online survey is suited to recruit a large number of participants as this is a method to overcome other validity issues. As well, you will never be sure that those who filled the survey are actually those intended to.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Ado Danazumi Geidam

Reviewer #2: Yes: Khalid A. Kheirallah

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2021 Mar 15;16(3):e0248189. doi: 10.1371/journal.pone.0248189.r004

Author response to Decision Letter 1


3 Feb 2021

RESPONSES TO EDITOR’S AND REVIEWERS’ COMMENTS (REVISION 2)

The authors are grateful for the comments and suggestions provided by the reviewers, which we found helpful and improved the quality of manuscript. Thank you Sirs

Below are our responses to the comments, accordingly.

S/N Location/lines revised Reviewer’s comment Remarks(Authors’ responses)

Plos One_ Editor’s queries/comments

1. There are still concerns on methodological clarity of the manuscript and the external validity of the results. At present the methods is not sufficiently described to support independent replication of the study. Please clarify and include a statement in the manuscript to confirm that the online survey was based on the Checklist for Reporting Results of Internet E-Surveys (CHERRIES), and guidelines for good practice in the conduct and reporting of online research.

Response:

Thank you and we have clarified and confirmed in the manuscript that the online survey was based on the checklist for reporting results of internet E – surveys (CHERRIES), and guidelines for good practice in the conduct and reporting of online research (201 -203). We also ensured it was stated in the manuscript the participation rate of more than 100.0% (lines 254 -255), that a minimum of 9 students were then conveniently sampled from each level (141-143), the completion of the online survey took about 8 minutes and designed to ensure duplicate entries was avoided by preventing users with the same IP address access to the survey twice access to the survey twice (197 -199), ethical approval and informed consent described, development and pre-testing of the questionnaire was mentioned, survey administration was also provided in detail including the type of e-survey, survey context, that it was voluntary for participant, incentives offered has been included (lines 157 – 158).

2. It will be good if the authors, based on their local knowledge, provide an estimate of the total number of all the veterinary medical students (DV1 to DV5) in the study population (the 10 enlisted universities) that were eligible to participate in the study. This way the readers can make their independent judgment on the external validity of the results beyond the calculated sample size and the response rate.

Response:

The enlisted number of universities in the study were 11. The total number of all the veterinary medical students eligible to participate in the study was 3724 (lines 131 -132).

3. The last sentence of the limitation section seems tenuous. It is ambiguous to claim that self-selection and respondent biases or issue of generalizability can be eliminated by having a response rate above the minimum estimated sample size. Using only limited number of participants in each school constitute a threat to the external validity of the results that is worth further discussion in the limitation section of the manuscript.

Response:

Thank you Sir. The authors quite agree that the last statement seems ambiguous and that generalizability cannot be eliminated by having a response rate above the minimum estimated sample size, coupled with other several limitations associated with the online survey e.g. the non-probabilistic sampling technique used.

1. We have further expatiated the limitation of getting low participation from some schools, which was attributed to inaccessibility to the internet or inability to afford money to purchase data and insufficient power supplies (common complaints by the students) 2. We recognise for the online survey, random sampling was also impossible so we resulted to convenience sampling and voluntary participation, which also may have introduced selection bias. Due to challenges peculiar to the country as well as this study, we are therefore cautious with generalizing the result or outcomes of study to both veterinary student populations and across contexts.

“Some limitations of the approach utilized in the study were identified. The introduction of enrolment and reporting biases may have resulted from the online survey making it non-representative. For the study, randomization was impossible due to the national lockdown, which could have possibly eliminated some of the biases. The non- probabilistic sampling approach, which is convenience and voluntary may have contributed to in the uneven distribution (coverage and non-participation) of student respondents from the different universities investigated. Furthermore, the poor internet accessibility or connectivity in the country (which may have varied from one institution location to another) and lack of funds to purchase data as complained by some students may have contributed to the lack of access to online questionnaire and participation. We are therefore cautious in generalizing the sample findings to the whole veterinary student populations in the country due to these limitations”.

4. If possible, the authors should also consider to include the flow chart of the participants’ recruitment process to clearly indicate how many participants from each school click on the survey link (how many did not attempt any question), how many started the survey (how many started but did not complete) and how many finally completed the survey.

Response: The data we have i.e. The total number of students that filled and completed the questionnaire, which is = 437. I have tried to include a flow chart as requested. The authors however, think since all participants accessed the link and completed filling questionnaire a flow chart may not be necessary.

FUNAAB = 204 75 (17.2)

UI = 454 73 (16.7)

UNILORIN = 250 26 (5.9)

UNIABUJA = 392 71 (16.2)

UNIJOS = 190 27 (6.2)

UNIMAID = 500 18 (4.1)

UDUS = 500 47 (10.8)

ABU= 400 14 (3.2)

MOUAU = 250 8 (1.8)

UAM = 194 60 (13.7)

UNN = 390 18 (4.1)

Response to Reviewer 1

Materials and Methods

Lines 131-133 “The total sample size was divided equally among the veterinary schools (43 students per university). We purposively recruited a minimum of nine at each level (DVM 1-DVM 5) across the participating universities" – this is more like a Quota sampling; So the statement in 135 -136 “Purposive and convenience chain referral sampling technique was performed for student recruitment” needs to be rephrase Thank you so much Sir. The authors quite agree with this suggestion. We have therefore rephrased to read “

Reviewer 2

Materials and Methods

Reviewer #2: Statistical methods used to calculate the sample size related to KAP study and descriptive statistics using percentages and means for KAP. It does not allow comparisons and regression analyses. This was suggested initially and was not fully addressed. Using only a limited number of participants from each school does not mean you can compare by year and school, for example. An online survey is suited to recruit a large number of participants as this is a method to overcome other validity issues. As well, you will never be sure that those who filled the survey are actually those intended to. Yes, we agree that the formula we used is for survey and not a comparative study as we did not set out to compare in the first place, as observed in case control, cohort and random clinical trials.

However, by virtue of the outcome variables that were categorized, we decided to look at possible independent variables that could explain the observed categorization (into good or poor).

Attachment

Submitted filename: RESPONSES TO EDITOR_ revision 2.docx

Decision Letter 2

Adewale L Oyeyemi

22 Feb 2021

SARS-CoV-2 (COVID-19 Pandemic) in Nigeria: Multi-institutional Survey of Knowledge, Practices and Perception Amongst Undergraduate Veterinary Medical Students

PONE-D-20-28765R2

Dear Dr. Adebowale,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Adewale L. Oyeyemi, Ph.D

Academic Editor

PLOS ONE

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Ado Danazumi Geidam

Acceptance letter

Adewale L Oyeyemi

1 Mar 2021

PONE-D-20-28765R2

SARS-CoV-2 (COVID-19 Pandemic) in Nigeria: Multi-institutional Survey of Knowledge, Practices and Perception Amongst Undergraduate Veterinary Medical Students

Dear Dr. Adebowale:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Adewale L. Oyeyemi

Academic Editor

PLOS ONE

Associated Data

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

    Supplementary Materials

    S1 File. Questionnaire on the knowledge, practices and perception of undergraduate veterinary students towards COVID-19 in Nigeria.

    (DOCX)

    Attachment

    Submitted filename: Plos one review.docx

    Attachment

    Submitted filename: Responses to reviewers comments (PLoS ONE).docx

    Attachment

    Submitted filename: RESPONSES TO EDITOR_ revision 2.docx

    Data Availability Statement

    The datasets have been deposited in Mendeley data. Adebowale, Oluwawemimo; Adenubi, Olubukola; Adesokan, Hezekiah; Oloye, Abimbola; Bankole, Noah; Fadipe, Oladotun; Ayo-Ajayi, Oluwatoyin; Akinloye, Adebayo (2020), “SARS-CoV-2 (COVID-19 Pandemic) in Nigeria: Multi-institutional Survey of Knowledge, Practices and Perception Amongst Undergraduate Veterinary Medical Students”, Mendeley Data, V1, doi: 10.17632/jy7hh77f8c.1.


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