Table 1
Demographics
| Indicator | Sierra Leone | Zimbabwe | Total |
|---|---|---|---|
| N=1158 | N=1154 | N=2312 | |
| % (n) | % (n) | % (n) | |
| Female | 48.9 (566) | 57.0 (658) | 52.9 (1223) |
| Age (years) | |||
| 10-19 | 9.6 (111) | 9.8 (113) | 9.7 (224) |
| 20-24 | 23.2 (269) | 13.2 (152) | 18.2 (421) |
| 25-49 | 52.4 (607) | 48.1 (555) | 50.3 (1163) |
| 50+ | 14.8 (171) | 28.9 (334) | 21.8 (504) |
| Education | |||
| Primary | 20.5 (237) | 25.2 (291) | 22.9 (529) |
| Secondary | 51.9 (601) | 67.0 (773) | 59.5 (1376) |
| Tertiary | 27.6 (320) | 7.8 (90) | 17.7 (409) |
| Group | |||
| Community member | 67.5 (782) | 68.9 (795) | 68.2 (1577) |
| Faith leader | 6.6 (76) | 4.2 (48) | 5.4 (125) |
| Healthcare worker | 6.6 (76) | 1.5 (17) | 4.0 (92) |
| Community leader | 11.4 (132) | 5.6 (65) | 8.5 (197) |
| Other | 7.9 (91) | 19.9 (230) | 13.9 (321) |
| Has a health condition | 29.0 (336) | 26.2 (302) | 27.6 (638) |
Table 2
Prevalence of NCDs
Table 3
Regression estimates for health conditions and perceived susceptibility
| perceived susceptibility | Odds Ratio | St. Err. | t-value | p-value | [95% Conf | Interval] | Sig |
|---|---|---|---|---|---|---|---|
| Cancer | .105 | .078 | -3.01 | .003 | .024 | .455 | *** |
| Immunocompromised | .825 | .194 | -0.82 | .414 | .521 | 1.308 | |
| Cardiovascular | 1.544 | .249 | 2.70 | .007 | 1.126 | 2.117 | *** |
| Obesity | .503 | .169 | -2.05 | .041 | .261 | .971 | ** |
| Diabetes | .94 | .206 | -0.28 | .776 | .612 | 1.443 | |
| Pulmonary disease | .808 | .202 | -0.85 | .393 | .495 | 1.319 | |
| Other conditions | .703 | .125 | -1.98 | .048 | .495 | .997 | ** |
Table 4
Regression estimates for health conditions and perceived safety of COVID-19 vaccines
| Perceived Safety | Odds Ratio | St. Err. | t-value | p-value | [95% Conf | Interval] | Sig |
|---|---|---|---|---|---|---|---|
| Cancer | .233 | .13 | -2.61 | .009 | .078 | .696 | *** |
| Immunocompromised | .975 | .213 | -0.12 | .907 | .635 | 1.496 | |
| Cardiovascular | 1.472 | .229 | 2.49 | .013 | 1.085 | 1.995 | ** |
| Obesity | .513 | .169 | -2.03 | .043 | .269 | .978 | ** |
| Diabetes | .956 | .201 | -0.21 | .831 | .633 | 1.444 | |
| Pulmonary disease | .701 | .169 | -1.47 | .141 | .437 | 1.124 | |
| Other conditions | 1.013 | .168 | 0.08 | .939 | .731 | 1.403 |
Table 5
Regression estimates for health conditions and vaccination status
| Vaccinated | Odds Ratio | St. Err. | t-value | p-value | [95% Conf | Interval] | Sig |
|---|---|---|---|---|---|---|---|
| Cancer | .229 | .12 | -2.80 | .005 | .082 | .642 | *** |
| Immunocompromised | 1.016 | .226 | 0.07 | .943 | .657 | 1.572 | |
| Cardiovascular | 1.52 | .245 | 2.60 | .009 | 1.108 | 2.083 | *** |
| Obesity | .534 | .182 | -1.84 | .066 | .273 | 1.041 | * |
| Diabetes | 1.087 | .234 | 0.39 | .697 | .714 | 1.657 | |
| Pulmonary disease | .794 | .195 | -0.94 | .348 | .491 | 1.285 | |
| Other conditions | .713 | .124 | -1.95 | .052 | .508 | 1.002 | * |
| Country: | District: Ward: |
|---|---|
| Respondent ID: | Age range of respondent (years):
|
| Gender: | Profession: |
Respondent category:
| |
| Educational level: | |
| Cancer | |
| Immunocompromised state due to therapy or disease | |
| Cardiovascular disease | |
| Other underlying condition | |
| Obesity | |
| Diabetes (type 1 or 2) | |
| Pulmonary disease |
| 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 |
| a. I can’t go on my own | |
| b. I have a physical limitation. | |
| c. It’s too far away. | |
| d. I don’t know where to go to get vaccinated. | |
| e. I’m not eligible to get a COVID-19 vaccine. | |
| f. 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). | |
| g. I don’t have transportation. | |
| h. The hours of operation are inconvenient. | |
| i. The waiting time is too long. | |
| j. It is difficult to find or make an appointment. | |
| k. I am too busy to get vaccinated. | |
| l. It was difficult to arrange for childcare. | |
| m. I don’t have time off work | |
| n. Not sure |
| a. The fast production of the vaccine did not compromise its safety | |
| b. Agencies approving the vaccines are following strict rules | |
| c. My risk of getting sick with COVID-19 is bigger than the risk of side effects from | |
| the vaccine | |
| d. The vaccine cannot cause any immediate or long-term injury | |
| e. It is impossible to get COVID-19 or any other disease from the vaccine itself or | |
| its components | |
| f. The vaccine works in protecting me from COVID-19 | |
| g. The vaccine works in stopping the transmission of COVID-19 from one person to another | |
| h. Health agencies and WHO recommend the vaccine and agree it is safe | |
| i. I do not need any other information | |
| j. 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) |
| a. Protect my health | |
| b. Protect health of family/friends | |
| c. Protect health of co-workers | |
| d. Protect health of community | |
| e. To get back to work/school | |
| f. To resume social activities | |
| g. To resume travel | |
| h. Because others encouraged me to get vaccinated | |
| i. Other/Not sure |
| a. Ministry of Health | |
| b. Employer | |
| c. Family and friends | |
| d. Hospital system websites | |
| e. Local health officials | |
| f. News sources (e.g., television, internet, and radio) | |
| g. Health care workers | |
| h. Professional organization(s) | |
| i. Religious leader(s) | |
| j. Online publishers of medical information (such as WebMD or Mayo Clinic) | |
| k. Social media (such as Facebook, Twitter, Instagram, WhatsApp, LinkedIn, or Tik- Tok) | |
| l. Union leader(s) | |
| m. Other |