Table 1
Demographics
| Zimbabwe N=1154 | Sierra Leone N=1158 | Total Indicator | |
|---|---|---|---|
| Female | 57.0 | 48.9 | 52.9 |
| Age (years) | |||
| 18-19 | 9.8 | 9.6 | 9.7 |
| 20-24 | 13.2 | 23.2 | 18.2 |
| 25-49 | 48.1 | 52.4 | 50.3 |
| 50+ | 28.9 | 14.8 | 21.8 |
| Education | |||
| Primary | 25.2 | 20.5 | 22.9 |
| Secondary | 67.0 | 51.9 | 59.5 |
| Tertiary | 7.8 | 27.6 | 17.7 |
| Group | |||
| Community member | 68.9 | 67.5 | 68.2 |
| Faith leader | 4.2 | 6.6 | 5.4 |
| Healthcare worker | 1.5 | 6.6 | 4.0 |
| Community leader | 5.6 | 11.4 | 8.5 |
| Other | 19.9 | 7.9 | 13.9 |
| Has a health condition | 26.2 | 29.0 | 27.6 |
Table 2
Key COVID Vaccine Indicators
| Indicator | Zimbabwe | Sierra Leone | Total |
|---|---|---|---|
| Received vaccine | 55.6 | 32.0 | 43.8 |
| Believes vaccine is extremely risky | 10.5 | 31.0 | 20.7 |
| Very likely would take vaccine if free | 59.9 | 37.0 | 48.5 |
| Very likely to recommend vaccine to others | 66.8 | 38.2 | 52.5 |
| Believes it would be very easy to receive vaccine | 62.0 | 39.0 | 50.4 |
| Believes the vaccine is very safe | 50.9 | 36.2 | 43.6 |
| Knows where to get accurate, timely COVID-19 vaccination information | 75.4 | 46.1 | 60.8 |
| Refused to be vaccinated | 37.2 | 66.2 | 50.3 |
| Personally know someone who became seriously ill or died from COVID | 40.4 | 13.1 | 26.8 |
| Very concerned about getting infected at work | 52.1 | 39.8 | 45.9 |
| Very concerned about getting infected in public | 54.6 | 40.6 | 47.6 |
| Very concerned will infect family or friends | 59.4 | 48.6 | 54.0 |
Table 3
Predictors of Vaccination (Logistic regression)
| Coef. | St. Err. | t-value | p-value | 95% CI | Sig | |
|---|---|---|---|---|---|---|
| Gender (Ref: male) | ||||||
| Female | .947 | .087 | -0.59 | .554 | (.792, 1.133) | |
| Age | 1.466 | .082 | 6.82 | 0 | (1.313, 1.636) | *** |
| Country (Ref: Zimbabwe) | ||||||
| Sierra Leone | .324 | .032 | -11.40 | 0 | (.267, .393) | *** |
| Education (Ref: primary) | ||||||
| secondary | .942 | .108 | -0.52 | .603 | (.752, 1.18) | |
| tertiary | 1.09 | .165 | 0.57 | .571 | (.809, 1.467) | |
| Role (Ref: community member) | ||||||
| faith leader | 1.458 | .297 | 1.85 | .065 | (.977, 2.174) | * |
| healthcare worker | 5.027 | 1.233 | 6.59 | 0 | (3.109, 8.129) | *** |
| community leader | 2.654 | .45 | 5.75 | 0 | (1.903 3.701) | *** |
| other | 1.254 | .165 | 1.72 | .086 | (.968, 1.624) | * |
| Mean dependent var. | 0.44 | SD dependent var. | 0.50 | |||
| Pseudo r-squared | 0.09 | Number of obs. | 2277 | |||
| Chi-square | 285.76 | Prob > chi2 | 0.00 | |||
| Akaike crit. (AIC) | 2854.05 | Bayesian crit. (BIC) | 2911.36 | |||
Table 4
Predictors of Those Concerned They Will Become Infected at Work (Linear regression)
| Coef. | St. Err. | t-value | p-value | 95% CI | Sig | |
|---|---|---|---|---|---|---|
| Gender (Ref: male) | ||||||
| Female | .038 | .048 | 0.79 | .428 | (-.056, .132) | |
| Age | .154 | .029 | 5.34 | 0 | (.097, .21) | *** |
| Country (Ref: Zimbabwe) | ||||||
| Sierra Leone | -.39 | .051 | -7.66 | 0 | (-.489, -.29) | *** |
| Education (Ref: primary) | ||||||
| secondary | .186 | .06 | 3.09 | .002 | (.068, .304) | *** |
| tertiary | .407 | .079 | 5.13 | 0 | (.251, .562) | *** |
| Role (Ref: community member) | ||||||
| faith leader | -.081 | .107 | -0.76 | .448 | (-.291, .129) | |
| healthcare worker | .011 | .125 | 0.09 | .929 | (-.233, .256) | |
| community leader | .217 | .089 | 2.45 | .014 | (.043, .391) | ** |
| other | -.084 | .071 | -1.19 | .234 | (-.222, .054) | |
| Mean dependent var. | 2.93 | SD dependent var. | 1.15 | |||
| R-squared | 0.05 | Number of obs. | 2260 | |||
| F-test | 14.41 | Prob > F | 0.00 | |||
| Akaike crit. (AIC) | 6947.62 | Bayesian crit. (BIC) | 7004.86 | |||
Table 5
Predictors of Those Concerned They Will Become Infected in Public (Linear regression)
| Coef. | St. Err. | t-value | p-value | 95% CI | Sig | |
|---|---|---|---|---|---|---|
| Gender (Ref: male) | ||||||
| Female | .075 | .046 | 1.64 | .102 | (-.015, .166) | |
| Age | .156 | .028 | 5.64 | 0 | (.102, .211) | *** |
| Country (Ref: Zimbabwe) | ||||||
| Sierra Leone | -.503 | .049 | -10.29 | 0 | (-.598, -.407) | *** |
| Education (Ref: primary) | ||||||
| secondary | .191 | .058 | 3.29 | .001 | (.077, .304) | *** |
| tertiary | .432 | .076 | 5.67 | 0 | (.282, .581) | *** |
| Role (Ref: community member) | ||||||
| faith leader | -.225 | .104 | -2.16 | .031 | (-.429, -.021) | ** |
| healthcare worker | .088 | .12 | 0.73 | .463 | (-.147, .323) | |
| community leader | .231 | .085 | 2.71 | .007 | (.064, .398) | *** |
| other | -.296 | .068 | -4.36 | 0 | (-.429, -.163) | *** |
| Mean dependent var. | 2.98 | SD dependent var. | 1.13 | |||
| R-squared | 0.08 | Number of obs. | 2273 | |||
| F-test | 22.86 | Prob > F | 0.00 | |||
| Akaike crit. (AIC) | 6814.15 | Bayesian crit. (BIC) | 6871.43 | |||
Table 6
Predictors of Those Concerned They Will Infect Family and Friends (Linear regression)
| Coef. | St. Err. | t-value | p-value | 95% CI | Sig | ||
|---|---|---|---|---|---|---|---|
| Gender (Ref: male) | |||||||
| Female | .092 | .045 | 2.05 | .041 | .004 | .179 | ** |
| Age | .14 | .027 | 5.21 | 0 | .088 | .193 | *** |
| Country (Ref: Zimbabwe) | |||||||
| Sierra Leone | -.363 | .047 | -7.64 | 0 | -.456 | -.269 | *** |
| Education (Ref: primary) | |||||||
| secondary | .151 | .056 | 2.68 | .007 | .04 | .261 | *** |
| tertiary | .394 | .074 | 5.32 | 0 | .248 | .539 | *** |
| Role (Ref: community member) | |||||||
| faith leader | -.056 | .1 | -0.55 | .579 | -.252 | .141 | |
| healthcare worker | .052 | .117 | 0.44 | .658 | -.178 | .281 | |
| community leader | .22 | .083 | 2.66 | .008 | .058 | .383 | *** |
| other | -.218 | .066 | -3.30 | .001 | -.347 | -.088 | *** |
| Mean dependent var. | 3.13 | SD dependent var. | 1.08 | ||||
| R-squared | 0.06 | Number of obs. | 2272 | ||||
| F-test | 15.76 | Prob > F | 0.00 | ||||
| Akaike crit. (AIC) | 6681.81 | Bayesian crit. (BIC) | 6739.09 | ||||
| Country: | District: Ward: |
| Respondent ID: | Age range of respondent (years): 10 – 19 Years 20 – 24 Years 25 – 49 years 50 Years and above |
| Gender: | Profession: |
| Respondent category: Faith leader Health care worker Community leader Journalist Community member Other | |
| Educational level: |
| Cancer | Obesity |
| Immunocompromised state due to therapy or disease | Diabetes (type 1 or 2) |
| Cardiovascular disease | Pulmonary disease |
| Other underlying condition |
| I never refused a vaccine recommended by a healthcare worker | |
| Did not think it was needed | |
| Did not have enough information on the vaccine | |
| Did not think the vaccine was effective | |
| Did not think the vaccine was safe | |
| I was concerned about side effects | |
| I had a bad experience with a previous vaccination | |
| Did not know where to get vaccination | |
| Other logistic problems |
| Not at all | A little | Somewhat | Very | |
|---|---|---|---|---|
| Contracting COVID-19 at work? (For example: office and other work settings that are not your home) | ||||
| Contracting COVID-19 outside of work? (For example: at the grocery store, when you are using transportation, or in other aspects of your daily life) | ||||
| Infecting your family or friends with COVID-19? |
| Very likely | |
| Somewhat likely | |
| I am not sure | |
| Somewhat unlikely | |
| Very unlikely | |
| I would not take it within the near future, but I might reconsider it in the future with time |
| I can’t go on my own | |
| I have a physical limitation. | |
| It’s too far away. | |
| I don’t know where to go to get vaccinated. | |
| I’m not eligible to get a COVID-19 vaccine. | |
| I have a medical reason that makes me ineligible to get vaccinated (e.g., I have had a severe allergy to vaccines in the past). | |
| I don’t have transportation. | |
| The hours of operation are inconvenient. | |
| The waiting time is too long. | |
| It is difficult to find or make an appointment. | |
| I am too busy to get vaccinated. | |
| It was difficult to arrange for childcare. | |
| I don’t have time off work | |
| Not sure |
| The fast production of the vaccine did not compromise its safety | |
| Agencies approving the vaccines are following strict rules | |
| My risk of getting sick with COVID-19 is bigger than the risk of side effects from the vaccine | |
| The vaccine cannot cause any immediate or long-term injury | |
| It is impossible to get COVID-19 or any other disease from the vaccine itself or its components | |
| The vaccine works in protecting me from COVID-19 | |
| The vaccine works in stopping the transmission of COVID-19 from one person to another | |
| Health agencies and WHO recommend the vaccine and agree it is safe | |
| I do not need any other information | |
| Other -please specify_______________ |
| Once vaccinated I will be able to live my life with no restrictions | |
| Those with concerns about the vaccine have opportunities to share their opinions with the public | |
| Pharmaceutical companies will not make large profits from the vaccine | |
| Everybody will have equal access to the vaccine regardless of income or race | |
| I will be free to choose if I get the vaccine or not with no consequences | |
| There are no other reasons why so many people are sick (i.e. 5G technology or other unknown reasons) |
| Protect my health | |
| Protect health of family/friends | |
| Protect health of co-workers | |
| Protect health of community | |
| To get back to work/school | |
| To resume social activities | |
| To resume travel | |
| Because others encouraged me to get vaccinated | |
| Other/Not sure |
| Ministry of Health | |
| Employer | |
| Family and friends | |
| Hospital system websites | |
| Local health officials | |
| News sources (e.g., television, internet, and radio) | |
| Health care workers | |
| Professional organization(s) | |
| Religious leader(s) | |
| Online publishers of medical information (such as WebMD or Mayo Clinic) | |
| Social media (such as Facebook, Twitter, Instagram, WhatsApp, LinkedIn, or Tik-Tok) | |
| Union leader(s) | |
| Other |