1
1 A survey of patient and public perceptions and awareness of SARS-CoV-2-related risks
2 among participants in India and South Africa
3
4 Short Title: Perceptions and awareness of SARS-CoV-2-related risks
5
6 Oluchi Mbamalu 1*, Surya Surendran2#, Vrinda Nampoothiri3, Candice Bonaconsa1, Fabia Edathadathil3,
7 Nina Zhu 4, Vanessa Carter5, Helen Lambert6, Carolyn Tarrant7, Raheelah Ahmad4,8, Adrian Brink9,
8 Ebrahim Steenkamp 10, Alison Holmes4, Sanjeev Singh3, Esmita Charani1,4, Marc Mendelson1
9
10 1 Division of Infectious Diseases & HIV Medicine, Department of Medicine, Groote Schuur Hospital,
11 University of Cape Town, Cape Town, South Africa.
12 2 Health Systems and Equity, The George Institute for Global Health, New Delhi, India.
13 3 Department of Infection Control and Epidemiology, Amrita Institute of Medical Sciences, Amrita
14 Vishwa Vidyapeetham, Kochi – Kerala, India.
15 4 National Institute for Health Research, Health Protection Research Unit in Healthcare Associated
16 Infections and Antimicrobial Resistance, Department of Medicine, Imperial College London,
17 London, United Kingdom.
18 5 Health Communication and Social Media, Johannesburg, South Africa.
19 6 Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol,
20 United Kingdom.
21 7 Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
22 8 Division of Health Services Research and Management, School of Health Sciences, City, University
23 of London, United Kingdom.
24 9 Division of Medical Microbiology, Faculty of Health Sciences, National Health Laboratory Service,
25 Groote Schuur Hospital, University of Cape Town, South Africa.
26 10 Statistical Consulting Unit, Department of Statistical Sciences, University of Cape Town, South
27 Africa.
28
29 * Corresponding author
30 Oluchi Mbamalu
31 Division of Infectious Diseases & HIV Medicine
32 Department of Medicine
33 University of Cape Town
34 G26/68 Groote Schuur Hospital Observatory,7925
35 Cape Town, South Africa
36 Tel: +27 79 794 9346
37 Email:
[email protected]
38
39 Alternative corresponding author
40 Marc Mendelson
41 Division of Infectious Diseases & HIV Medicine
42 Department of Medicine
43 University of Cape Town
44 G26/68 Groote Schuur Hospital Observatory,7925
45 Cape Town, South Africa
46 Tel: +27 79 794 9346
47 Email:
[email protected]
48
49
50 # This research was conducted when the author was affiliated with the Department of Infection
51 Control and Epidemiology at Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi
52 – Kerala, India.
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2
53 ABSTRACT
54 A cross-sectional survey was performed among the adult population of participating
55 countries, India and South Africa. The purpose of this study was to explore perceptions and
56 awareness of SARS-CoV-2-related risks in the relevant countries. The main outcome measures
57 were the proportion of participants aware of SARS-CoV-2, and their perception of infection
58 risks.
59 Self-administered questionnaires were used to collect data via a web- and paper-based survey
60 over three months. For data capturing, Microsoft Excel was employed, and descriptive
61 statistics used for presenting data. Pearson’s Chi-squared test was used to assess
62 relationships between variables, and a p-value less than 0.05 was considered significant.
63 There were 844 respondents (India: n=660, South Africa: n=184; response rate 87.6%), with a
64 61.1% vs 38.3% female to male ratio. Post-high-school or university education was the lowest
65 qualification reported by most respondents in India (77.3%) and South Africa (79.3%). Sources
66 of information about the pandemic were usually media and journal publications (73.2%),
67 social media (64.6%), family and friends (47.7%) and government websites (46.2%). Most
68 respondents correctly identified infection prevention measures (such as physical distancing,
69 mask use), with 90.0% reporting improved hand hygiene practices since the pandemic.
70 Hesitancy or refusal to accept the SARS-CoV-2 vaccine was reported among 17.9% and 50.9%
71 of respondents in India and South Africa, respectively. Reasons cited included rushed vaccine
72 development and the futility of vaccines for what respondents considered a self-limiting flu-
73 like illness.
74 Respondents identified public health promotion measures for SARS-CoV-2. Reported
75 hesitancy to the up-take of SARS-CoV-2 vaccines was much higher in South Africa. Vaccination
76 campaigns should consider robust public engagement and contextually fit communication
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77 strategies with multimodal, participatory online and offline initiatives to address public
78 concerns, specifically towards vaccines developed for this pandemic and general vaccine
79 hesitancy.
80 Key words: Awareness, Infection prevention, Perception, COVID-19, Vaccination
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101 INTRODUCTION
102 The SARS-CoV-2 pandemic has highlighted the importance of infection prevention at
103 individual and community levels. The World Health Organization (WHO) has indicated that for
104 public health infection prevention measures to be successful, all members of society
105 (communities and professional groups included) should be fully engaged [1]. These measures
106 include but are not limited to physical distancing, masking, hand hygiene, avoiding poorly
107 ventilated indoor spaces, and isolation/quarantine if infected or exposed. For efficient buy-in
108 and contribution to these measures, individuals should understand the risks, mode of viral
109 transmission, and consequences of infection. As such, the success of infection prevention
110 measures depends on individual and community-level awareness and the adoption of
111 infection prevention behaviours, which in turn depends on their perceptions and cognizance
112 of risk.
113 While effective public engagement has been highlighted as key to gaining buy-in [2-4],
114 additional research is needed to explore public awareness, perceptions and behaviours about
115 SARS-CoV-2 and how these may influence adherence to public health measures, especially in
116 low- and middle-income countries (LMIC). India (lower-middle-income) and South Africa
117 (upper-middle-income) [5] are countries with emerging economies where the SARS-CoV-2
118 pandemic has had a significant impact [6]. Redeploying the capacity within an existing
119 research collaboration across participating sites in these two countries [7, 8] , we investigated
120 the public’s perceptions and awareness of SARS-CoV-2-related risks and infection prevention
121 practices through analysis of data contributed by participants across the two countries.
122
123
124
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125 METHODS
126 Study design
127 We conducted a cross-sectional web- and paper-based survey. Data were collected using a
128 self-administered questionnaire. Any adult member (over 18 years old) of the public, who
129 provided informed consent before participation, was eligible to participate.
130
131 Study development
132 The study development followed the STROBE cross-sectional reporting guidelines [9], as
133 shown in Table 1 under Supporting Information.
134
135 Table 1 (Supporting Information): Reporting Checklist for cross-sectional study
136
137 The research team – made up of pharmacists, physicians, nurses, social scientists, patient
138 advocate and public engagement specialist, and quantitative data analysts – designed a 42-
139 question survey to elicit information on the public’s knowledge, perceptions and awareness
140 of SARS-CoV-2 infection risks. The 4-part survey included participant demographics, general
141 knowledge of SARS-CoV-2, perceived risks and barriers, and self-efficacy. In South Africa,
142 survey questions and participant information leaflets were translated into IsiZulu, IsiXhosa
143 and Afrikaans languages, whereas in India, the paper-based survey was translated into
144 Malayalam for local distribution. The survey was piloted with members of the public, and
145 relevant revisions were made before dissemination.
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146 Study settings and participant recruitment
147 The survey was open for participation by any member of the public over a 3-month duration.
148 Voluntary response sampling was utilized. All invited individuals received participant
149 information leaflets, and those willing to participate had to provide informed consent before
150 commencing the survey. Participation was voluntary across both countries.
151 In South Africa, the survey was available online in three languages – IsiXhosa, Afrikaans and
152 English. In India, the survey was available online in the English language, and in the paper
153 format in two languages, English and Malayalam.
154
155 Data collection
156 Data collection took place from 15 September to 15 December 2020 and coincided with the
157 first wave of the SARS-CoV-2 pandemic in India and the beginning of the second wave in South
158 Africa. In South Africa, the survey was available online via Qualtric. In India, in addition to the
159 online platform in English, paper surveys (in English and Malayalam) were also distributed
160 among participants (patients, patient carers and/or visitors) at the study site (hospital) in
161 Kerala.
162
163 Ethics Statement
164 The study was approved by the relevant human research ethics committees at the Amrita
165 Institute of Health Sciences, Kerala, India (Ref: IRB-AIMS-2020-232) and the University of Cape
166 Town, South Africa (Ref: 311/2020). Formal consent was obtained prior to participation in the
167 survey. For the online and paper versions of the survey, consent was indicated by the
168 participant ticking the relevant box for consent on the survey form.
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169 Statistical analysis
170 Data from participants who completed the paper-based format were captured in a Microsoft
171 (MS) Excel file and codes assigned, while data of participants who completed the online form
172 were exported to MS Excel. The data from the paper-based and online versions of the survey
173 were cleaned and combined.
174 Descriptive statistics were used to report participant characteristics and survey responses.
175 The underlying outcomes were awareness of the pandemic, perceived threats and barriers,
176 and self-efficacy. Responses were captured as categorical variables, reported as percentages
177 of received feedback for each item of interest (missing data were excluded) or, where
178 possible, data were scaled from strongly agree to strongly disagree. Pearson’s Chi-squared
179 test was used to assess relationships between variables, and p < 0.05 was considered
180 statistically significant.
181
182 RESULTS
183 Participant demographics
184 There was a total of 844 respondents (660 participants from India and 184 participants from
185 South Africa). There were 318 respondents to the online survey and 342 patients or patient
186 carer respondents to the paper survey in India. The response rate for the online survey was
187 87.6% (502/573), calculated as the ratio of participants who clicked on the survey link versus
188 those who commenced participation. The response rate for the paper version of the survey
189 could not be estimated, as respondents returned a higher number of the completed survey
190 forms than the initial number disseminated, indicating the forms had been copied and shared
191 more widely.
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192 There were more female (515/844, 61.0%) than male (323/844, 38.3%) respondents (Table
193 1). Three entries for age were excluded (one was invalid with two selections and two were
194 missing), resulting in a total response of 657 for age entries. Most of the respondents in India
195 and South Africa were in the 20-29-year (310; [n=657] 47.2%) and 40-49-year (57; 31.0%) age
196 groups, respectively.
197 Table 1 Self-reported respondent demographics
Characteristic India South Africa Total
n (%) n (%) n (%)
Country of residence 660 (78.2) 184 (21.8) 844 (100)
Gender (n=660) (n=184) (n=844)
Male 285 (43.2) 38 (20.7) 323 (38.3)
Female 369 (55.9) 146 (79.3) 515 (61.1)
Prefer not to say 5 (0.8) 0 5 (0.6)
Missing 1 (0.2) 0 0
Age n = 657 (%) n = 184 (%) n = 841 (%)
Younger than 20 years 41 (6.2) 7 (3.8) 48 (5.7)
20 to 29 years 657 (47.2) 14 (7.6) 324 (38.5)
30 to 39 years 133 (20.2) 21 (11.4) 154 (18.3)
40 to 49 years 82 (12.5) 57 (31.0) 139 (16.5)
50 to 59 years 49 (7.5) 49 (26.6) 98 (11.7)
60 to 69 years 30 (4.6) 27 (14.7) 57 (6.8)
70 years and older 12 (1.8) 9 (4.9) 21 (2.5)
Regular water supply n = 650 (%) n = 176 (%) n = 826 (%)
Yes 560 (86.2) 172 (97.7) 732 (88.6)
No 90 (13.8) 4 (2.3) 94 (11.4)
Education n = 653 (%) n = 175 (%) n = 828 (%)
Primary schooling 28 (4.3) 1 (0.5) 29 (3.5)
Secondary schooling 113 (17.3) 25 (13.6) 138 (16.7)
Post-high school 291 (44.6) 96 (52.2) 387 (46.7)
Post-graduate degree 219 (33.5) 50 (27.2) 269 (32.5)
Other 2 (0.3) 3 (1.6) 5 (0.6)
Employment n = 633 (%) n = 166 (%) n = 799 (%)
Student 135 (21.3) 5 (3.0) 140 (17.5)
Employed, part time 35 (5.5) 11 (6.6) 46 (5.8)
Employed, full time 249 (39.3) 62 (37.3) 311 (38.9)
Self-employed 47 (7.4) 50 (30.1) 97 (12.1)
Retired/Pensioner 27 (4.3) 19 (11.4) 46 (5.8)
I was furloughed/laid off during the lockdown 8 (1.3) 5 (3.0) 13 (1.6)
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Unemployed 122 (19.3) 13 (7.8) 135 (16.9)
Other 10 (1.6) 1 (0.6) 11 (1.4)
198
199 The percentage of student respondents was higher in India (21.3%, 135/633) than South
200 Africa (3.0%, 5/166). Unemployment was higher among respondents in India (19.3%,
201 122/163) than in South Africa (7.8%, 13/166), while there were more self-employed (30.1%,
202 50/166) and retired (11.4%, 19/166) respondents in South Africa.
203
204 Knowledge and concerns of SARS-CoV-2 transmission and infection
205 Reported sources of SARS-CoV-2 information, completed by 652 and 172 participants in India
206 and South Africa, respectively, are shown in Figures 1a and 1b. Media and journal publications
207 were the most common sources of information, along with social media, family and friends,
208 and government websites. On social media across both countries, Facebook®, WhatsApp®
209 and YouTube® were the most frequently used sites for information about the pandemic.
210
211 Figure 1a Respondents’ sources of SARS-CoV-2 information (traditional and social
212 media) in India (n=652)
213
214 Figure 1b Respondents’ sources of SARS-CoV-2 information (traditional and social
215 media) in South Africa (n=172)
216
217 In Table 2, the respondents’ knowledge of SARS-CoV-2 transmission routes, infection course
218 and prevention/management options is summarised. The primary route of SARS-CoV-2
219 transmission identified was nasal/oral droplets, airborne particles, and infected body fluids.
220 More than half of the respondents also demonstrated knowledge of SARS-CoV-2 incubation
221 and symptom manifestation, quarantine objectives, and general duration of isolation for
222 infected patients.
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223 Table 2 Respondent’s knowledge and experiences of the pandemic
Response (%)
Knowledge of SARS-CoV-2 India South Africa Total
Major routes of transmission
Infected bodily fluids 426/516 (82.6) 55/119 (46.2) 481/635 (75.7)
Nasal or oral droplets 555/591 (93.9) 158/165 (95.8) 713/756 (94.3)
Airborne 352/458 (76.9) 114/147 (77.6) 466/605 (77.0)
Foodborne 113/328 (34.5) 9/101 (8.9) 122/429 (28.4)
Waterborne 119/322 (37.0) 5/98 (5.1) 124/420 (29.5)
Other (please specify) 11/60 (18.3) 5/ 25 (20.0) 16/85 (18.8)
Time to symptom onset n = 626 (%) n = 171 (%) n = 797 (%)
Immediately – there is no delay 42 (6.7) 1 (0.6) 43 (5.4)
0 to 2 weeks 448 (71.6) 152 (88.9) 600 (75.3)
2 to 4 weeks 80 (12.8) 12 (7.0) 92 (11.5)
Over 4 weeks 10 (1.6) 2 (1.2) 12 (1.5)
I don't know 35 (5.6) 4 (2.3) 39 (4.9)
Multiple entries 11 (1.8) 0 11 (1.4)
Perceived reason for quarantine of SARS-
CoV-2-positive individuals n = 625 (%) n = 171 (%) n = 796 (%)
To help them get better 22 (3.5) 0 22 (2.8)
To prevent them from infecting others 430 (68.8) 124 (72.5) 554 (69.6)
There is no good reason for that 3 (0.5) 12 (7.0) 15 (1.9)
Other, please specify 1 (0.2) 2 (1.2) 3 (0.4)
I don't know 9 (1.4) 0 9 (1.1)
Multiple entries 159 (25.4) 33 (19.3) 192 (24.1)
Duration of isolation (if not admitted to a
healthcare facility) n = 625 (%) n = 171 (%) n = 796 (%)
As soon as coughing stops 5 (0.8) 0 5 (0.6)
10 to 14 days after symptoms first started 314 (50.0) 136 (79.5) 450 (56.5)
As soon as they feel better 36 (5.7) 3 (1.8) 39 (4.9)
21 days after symptoms stop 110 (17.5) 9 (5.3) 119 (14.9)
For asymptomatic cases: as advised by
healthcare guidelines 61 (9.7) 10 (5.8) 71 (8.9)
They do not need to be isolated 3 (0.5) 9 (5.3) 12 (1.5)
I don’t know 28 (4.5) 4 (2.3) 32 (4.0)
Multiple entries 71 (11.3) 0 71 (8.9)
Changes in hand washing practices n = 615 (%) n = 167 (%) n = 782 (%)
I wash/sanitise my hands more often 561 (91.2) 143 (85.6) 704 (90.0)
I wash/sanitise my hands less often 13 (2.1) 0 13 (1.7)
There is no difference in how often I
wash/sanitise my hands 18 (2.9) 23 (13.8) 41 (5.2)
Other, please specify 2 (0.3) 1 (0.6) 3 (0.4)
I don`t know 6 (1.0) 0 6 (0.8)
Multiple entries 15 (2.4) 0 15 (1.9)
Avoided visit to healthcare facility because
of SARS-CoV-2 n = 594 (%) n = 161 (%) n = 755 (%)
Yes 171 (28.8) 60 (37.3) 231 (30.6)
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No 353 (59.4) 70 (43.5) 423 (56.0)
Not applicable/had no need to visit a
healthcare facility 70 (11.8) 31 (19.3) 101 (13.4)
Would you have a SARS-CoV-2 vaccination? n = 587 (%) n = 161 (%) n = 748 (%)
Yes 482 (82.1) 79 (49.1) 561 (75.0)
No 36 (6.1) 55 (34.2) 91 (12.2)
I don't know 69 (11.8) 27 (16.8) 96 (12.8)
224
225
226 More frequent hand washing was reported across both countries (90.0%); however, a higher
227 percentage of respondents in South Africa (13.8%) than in India (2.9%) noted no difference in
228 their hand hygiene practices. Overall, 75.0% of all the respondents indicated their willingness
229 to receive vaccination when it becomes available; however, the percentages were higher in
230 India (82.1%) than in South Africa (49.1%). The most common reasons cited for apathy to
231 vaccination were perceptions of rushed vaccine development and the futility of vaccines for
232 what respondents considered a self-limiting flu-like illness.
233
234 Self-efficacy: perceptions of SARS-CoV-2 infection prevention measures
235 Respondents’ perceptions and concerns about their ability to cope with SARS-CoV-2 infection
236 prevention measures are presented in Figure 2, given their perceived knowledge and
237 awareness of the pandemic and infection risks. More than half of respondents in each country
238 reported that they have sufficient knowledge of SARS-CoV-2, understood available
239 information on the pandemic, would know what to do or questions to ask if they or someone
240 else contracted SARS-CoV-2, and have access to healthcare were they to become ill with SARS-
241 CoV-2 infection, and would be able to cope with extended containment measures such as a
242 lockdown. Compared to South Africa, more respondents in India reported concern over
243 infection, its financial implications and associated stigma. On the intent to wear a face mask,
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244 8.6% and 26.2% of respondents in India and South Africa reported dissatisfaction with this
245 measure while outdoors, respectively.
246
247 Figure 2: Respondents’ perceptions of self-efficacy in relation to coping with the
248 COVID-19 pandemic in South Africa (SA) and India
249
250 There was no statistical significance between hand washing and water supply (Table 3), as
251 even those without access to water supply reported that they washed their hands more
252 frequently since the pandemic (p = 0.2168 and p = 0.7970 in India and South Africa,
253 respectively). Water supply showed a mixed relationship with employment as some full-time
254 workers had no access to water. The test highlights a difference between participants in the
255 two countries; p = 0.008 and 0.4471 for India and South Africa, respectively.
256
257 Table 3 Relationships between selected variables
A. Is hand washing affected by water supply?
India South Africa
Hand wash frequency Yes No Yes No
Wash more 476 79 140 3
Wash less 13 0 0 0
No change 15 2 22 1
Other 2 0 1 0
Don’t know 5 1 0 0
Multiple 10 5 0 0
p-value 0.2168 0.797
B. Is water supply affected by employment?
India South Africa
Employment Status Yes No Yes No
Student 124 9 5 0
Part time 27 8 11 0
Full time 217 29 62 0
Self-employed 40 7 47 3
Unemployed 101 20 12 1
Retired 18 8 19 0
Other 8 2 1 0
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Laid off 4 4 5 0
p-value 0.0008026 0.4471
C. Is avoidance of healthcare facilities because of fear of COVID-19 contraction
influenced by age?
India South Africa
Age Yes No N/A Yes No N/A
=70 2 10 0 1 5 1
p-value 0.001451 0.9008
D. Is avoidance of health care facilities because of fear of COVID-19 contraction
influenced by employment?
India South Africa
Employment
Status Yes No N/A Yes No N/A
Student 37 57 27 2 1 1
Part time 12 20 1 5 3 3
Full time 57 137 27 25 21 11
Self-employed 11 28 2 10 26 10
Unemployed 31 79 5 5 6 1
Retired 9 17 0 8 7 2
Other 5 3 1 0 1 0
Laid off 1 4 3 0 2 2
p-value 0.0002084 0.4076
258
259 Our results show that some respondents avoided healthcare facilities during this pandemic.
260 Some participants in this study, particularly in India, reported avoiding healthcare facilities
261 because of a fear of contracting the COVID-19 virus; this was affected by employment status,
262 more in India (p = 0.0002) than in South Africa (p = 0.4076).
263
264
265
266
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267 DISCUSSION
268 This study provides insight into the public’s awareness and perspectives of the SARS-CoV-2
269 infection and risks in two middle-income countries hard hit by the pandemic [6]. The aim was
270 to gain some understanding of the knowledge and views about the pandemic, particularly
271 when considering the expected roles that the public have in this pandemic regarding social
272 distancing and infection prevention through hand hygiene, mask use and vaccination uptake.
273 At the time of the study, these two countries were at different phases of the pandemic
274 infection curves with no viable vaccines available. Although these data are somewhat dated,
275 these findings add to the body of knowledge on the public’s perceptions of the pandemic.
276 Also, how a better understanding of this information can be leveraged for improved infection
277 prevention and behavioural interventions and promotions for this and the future infectious
278 disease pandemics. Such knowledge will be helpful in infectious disease pandemic control and
279 mitigation, including in the ongoing COVID-19 pandemic. The insight from this study can assist
280 with measures to address continued vaccine hesitancy and inequity when many countries are
281 dealing with a fourth or subsequent infection wave.
282 From the onset of the pandemic, efforts have been communicated to inform the public of
283 infection risks and required containment/mitigation measures. The need for public
284 engagement and hygiene intervention, behaviour change, and consideration of socio-cultural
285 aspects in public awareness initiatives in India and South Africa has been noted in the
286 literature [10-14]. The volume of news media dedicated to the pandemic may also have
287 served to provide education and awareness among the public. Conversely, it may have fuelled
288 confusion and panic, particularly on the diverse online channels where unbridled and
289 unverified evidence and opinions compete for attention with information from local and
290 global health authorities.
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291 Survey respondents demonstrated awareness of the pandemic, with most identifying the
292 primary routes of transmission, incubation period, symptoms of infection, and recommended
293 measures for infection prevention and management of mild conditions, including the reason
294 for and duration of isolation. Information on the pandemic was generally gained from
295 traditional and social media, family and friends, and government websites. Respondents’
296 reliance on general and social media as sources of pandemic-related information highlights
297 the role played by the media in pandemic containment and mitigation.
298 The information landscape has changed extensively in the last three decades, prompting the
299 need to address not only the SARS-CoV-2 pandemic but also its related infodemic [15]. While
300 the main aspects of an infodemic refer to inaccurate and misleading information shared
301 through digital and physical environments during disease outbreaks, disinformation refers to
302 the deliberate spread of false information. In this pandemic, we are increasingly witnessing a
303 growing infodemic driven by misinformation, including a worrying trend in the escalation of
304 disinformation through traditional and social/digital media [16-18]. The role of the media,
305 traditional and digital alike, in framing and rapidly disseminating information is evident in this
306 pandemic, particularly when related to influencing behaviours and empowering individuals
307 with the accurate information to make informed decisions regarding IPC [15, 19-21].
308 Family and friends were noted as sources of SARS-CoV-2 information by respondents in the
309 survey. Word of mouth presented face-to-face or through various communication channels
310 within families and among friends, though not specifically a media source, is an essential
311 source of information. It is also a key route for spreading misinformation, mainly because of
312 the trust between the source and the recipient. Thus, the prominence of influencers (in the
313 community and on digital platforms alike) in disseminating pandemic-related information is
314 highlighted.
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315 The findings of this study underscore the importance of various media as sources of
316 information for informed decision-making among the public. It also draws attention to the
317 relevance of social media, and family and friends, as sources of pandemic-related information
318 for the public. Given the infodemic that has trailed the SARS-CoV-2 pandemic on all media
319 [21, 22], there is a need for evidence-informed and timely communication in continually
320 addressing pandemic-related misinformation and disinformation. Infodemic management is
321 multifaceted, requiring different disciplines to address it. Beyond communication, factors
322 influencing an individual’s behaviours may relate to external pressures, including the
323 economy, politics, education, health literacy and religious or cultural beliefs.
324 Some respondents in this study considered SARS-CoV-2 to be food- or water-borne. Such
325 beliefs may impact infection prevention measures; while there has been research into
326 transmission by these routes [23, 24], they have not been noted as primary transmission
327 routes for the viral infection. Droplet and airborne transmission have been noted as some
328 primary transmission routes, with the use of face masks a significant intervention in reducing
329 the spread of the infection [25, 26].
330 Across both countries, some respondents expressed somewhat reluctance to mask-wearing,
331 despite their concern about contracting the infection, which may be related to the stigma or
332 discomfort of masks. Stigma, known to influence/compromise infection prevention
333 behaviours [27, 28], needs to be addressed, locally and globally, not only for the current
334 pandemic but also for future ones, and improved adherence to optimised infection
335 prevention practices.
336 Among other options to reduce infection risk, hand hygiene has been prioritised in public
337 health messages for pandemic mitigation [29]. Access to clean water is critical for hand
338 hygiene and is among the tools to address and mitigate the impact of the pandemic, as
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339 highlighted in the literature [29, 30]. While water supply did not affect hand hygiene
340 frequency among respondents, it highlighted a difference between study participants in the
341 two countries. Infection prevention measures such as hand hygiene and physical distancing
342 may pose a challenge in some LMIC (India and South Africa are examples), especially in under-
343 resourced sections of rural areas or densely populated urban settings [29, 30].
344 Isolation and quarantine of infected and exposed individuals are underlying measures for
345 infectious disease control, though this may prove challenging. Responses to SARS-CoV-2-
346 related isolation/quarantine duration reflect respondents’ perceptions of SARS-CoV-2
347 incubation. While there was an initial consensus on a 14-day isolation/quarantine period for
348 infected/affected individuals, there have been shifts and debates on the optimum incubation
349 period of the virus, hence, the duration of isolation and quarantine measures [31].
350 Respondents’ responses reflected this, more so in India, where discussions about extended
351 isolation periods have been reported [32].
352 Lockdown measures instituted in various parts of the world following the spread of SARS-CoV-
353 2 served as another infectious disease mitigation strategy. With the rise of infection
354 transmission and the attendant lockdown measures, it was expected that individuals would
355 have avoided visiting healthcare facilities. Some participants in this study, particularly in India,
356 reported avoiding healthcare facilities because of a fear of contracting the COVID-19 virus;
357 this was influenced by employment status, more in India than in South Africa. Employed
358 participants may be more likely motivated to maintain good health or hesitant to confirm
359 illness, for fear of losing money or work, resulting in fewer visits to healthcare facilities, than
360 those unemployed. While lockdown measures can reduce patient presentation to healthcare
361 facilities [33, 34], such a decline in presentation may also be associated with later
362 presentations with more severe consequences. Initiatives are required to address gaps in
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363 patient care necessitated by public health promotion strategies such as lockdowns in this and
364 future pandemics.
365 Across the two countries, attitudes to the vaccination were positive. However, the country
366 analysis showed this was driven by higher vaccine acceptance in India, with respondents in
367 South Africa more cautious regarding COVID-19 vaccination. Reasons cited for hesitancy or a
368 negative attitude to SARS-CoV-2 vaccination were related to mistrust in the vaccine
369 development process and the futility of vaccines for what respondents considered a self-
370 limiting flu-like illness.
371 This survey was, however, conducted before SARS-CoV-2 vaccines were available. Hesitancy
372 towards the SARS-CoV-2 vaccine had been noted earlier in the pandemic, fuelled by infodemic
373 on communication channels and the public’s belief in SARS-CoV-2-related conspiracies [35,
374 36]. The notion that the pandemic has been grossly exaggerated and reported, with
375 unnecessary financial and other stresses on populations, was expressed by some participants
376 who provided additional free text information. As the pandemic evolves, research to better
377 understand infection and vaccine-related concerns among the general population is needed
378 to support targeted and contextually appropriate strategies promoting vaccine uptake and
379 optimised infection prevention behaviours.
380 Among individuals with opposing opinions about vaccination, using social science methods to
381 study underlying reasons and contexts for their views, along with highlighting the individual
382 rather than the collective advantages of vaccination, may provide helpful and relatable insight
383 [36, 37]. This could be particularly important when considered in light of recent research and
384 noted factors that may influence vaccine perception and uptake [38-40]. More recent
385 research has provided insight into dealing with vaccine-hesitancy as well as the challenges
386 associated with anti-vaxxers [41]. Public health campaigns and vaccination promotions should
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387 therefore understand and leverage social listening techniques to comprehend public
388 perceptions concerning communication gaps. A similar method of social listening should be
389 developed for community and traditional settings to understand why various beliefs and
390 behaviours related to COVID-19 emerged.
391
392 STRENGTHS AND LIMITATIONS
393 Our study provides unique insights into the public’s attitudes and practices across two LMIC
394 during the early stages of this pandemic. The findings are subject to some limitations, which
395 should be considered in its interpretation.
396 First, being a cross-sectional study, the relevance of the findings may change over time and
397 with interventions, especially as subsequent waves of COVID-19 have been reported. Second,
398 the online distribution of the survey and the limited paper version may have limited its reach,
399 particularly under-representing individuals from diverse socio-economic levels. Third, data
400 collection across both sites did not rely on the same methods, given the COVID-19 restrictions
401 at the time of data collection, which likely influenced the sample sizes across the sites. Sample
402 size may also have been influenced by survey fatigue, challenges with Internet access in LMIC,
403 and other limitations associated with accessing and participating in the survey at the time of
404 the survey roll-out.
405 Survey respondents are therefore not representative of the public in either of the two
406 countries, limiting the generalizability of findings. In addition, this survey was conducted
407 between September and December 2020, when both countries were at different phases of
408 the SARS-CoV-2 pandemic. The differences in experiences across the countries may have
409 influenced the responses provided.
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410 Nevertheless, this paper fills a gap in the knowledge, awareness and attitudes of the public in
411 India and South Africa towards IPC practices in the context of COVID-19 within the first year
412 of the pandemic. It will be beneficial for charting public understanding and perception of the
413 COVID-19 pandemic and provide informative data that can be employed for public
414 engagement in other infectious disease control and mitigation across both sites and similar
415 contexts. While this research presents the data for each country separately, it is not its
416 intention to make any statistical comparisons between participants in the two countries.
417 Despite that, the individual test on how employment affects water supply and the avoidance
418 of healthcare settings during lockdown provided some insight on differences between
419 participants in the two countries. Thus, the need for pandemic mitigation efforts to consider
420 differences in context and subjects for the delivery of context-specific and appropriate
421 interventions is highlighted.
422
423
424 CONCLUSIONS
425 This study presents socio-economic and demographic data, which may influence public
426 awareness and behaviour and further be explored in pandemic mitigation initiatives among
427 the public in both countries. Survey respondents correctly identified public health promotion
428 measures for SARS-CoV-2. Reported disinclination to mask-wearing and reported hesitancy
429 for the uptake of SARS-CoV-2 vaccination highlight gaps that can be addressed for improved
430 pandemic mitigation efforts. Further research to explore the outlook towards mask use and
431 vaccination across both countries can provide more insight on factors influencing infection
432 prevention and vaccine apathy. Vaccination campaigns should consider robust public
433 engagement and more targeted communication strategies using tactics like social listening,
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434 with multimodal, participatory online and offline initiatives to address the infodemic that
435 drives public concerns. Furthermore, this can contribute to developing a better understanding
436 of the driving force behind vaccine hesitancy among different populations.
437
438 Acknowledgements
439 The authors express appreciation to all survey participants and members of the public who
440 participated in the review of or provided feedback on the survey tool, and to Ms Jean Fourie
441 for review and editing of the manuscript.
442
443 Author contributions
444 OM conceptualised and wrote the initial protocol for the study, with additional input and
445 revision from CB, VC, HL, RA, SSingh and overall oversight by EC and MM. OM, SSurendran
446 and EC coordinated the data collection with input from NZ, SSurendran, VN, and FE
447 contributed to data capturing; OM, FE and ES contributed to the data analysis. OM wrote the
448 first draft of the manuscript, with input from SSurendran and oversight from EC and MM. All
449 authors contributed to subsequent revisions and approval of the final draft.
450
451 Funding sources
452 The work was supported by the Economic and Social Research Council (ESRC) as part of the
453 Antimicrobial Cross Council Initiative supported by the seven UK research councils, the
454 Global Challenges Research Fund (GCRF) as part of the ASPIRES project
455 (https://www.imperial.ac.uk/arc/aspires/), the National Institute for Health Research, UK
456 Department of Health [HPRU-2012-10047] in partnership with Public Health England and
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22
457 the National Research Foundation of South Africa (Grant Number: 129755). The funders did
458 not have any role in the study design and conduct, review or approval of the manuscript, or
459 the decision to submit the manuscript for publication.
460
461 Declarations
462 Ethics approval and consent to participate
463 The study was approved by the relevant human research ethics committees at the Amrita
464 Institute of Health Sciences, Kerala, India (Ref: IRB-AIMS-2020-232) and the University of
465 Cape Town, South Africa (Ref: 311/2020).
466
467 Competing Interests
468 The authors declare they have no competing interests.
469
470
471
472 Patient and public involvement
473 A patient advocate and public engagement specialist/civil society champion was involved in
474 the design of the study material and also contributed as an author. Members of the public
475 participated in the review of the survey tool and provided feedback for its modification. For
476 the online and paper versions of the survey, consent was indicated by the participant ticking
477 the relevant box for consent on the survey form.
478
479
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