Intention to receive new vaccines post-COVID-19 pandemic among adults and health workers in Lusaka, Zambia
Data files
Mar 18, 2025 version files 37.74 KB
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intent_novel_vaccine-13mar2025_share.csv
26.35 KB
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intent_novel_vacine_codebook-02mar2025.txt
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README.md
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Abstract
https://doi.org/10.5061/dryad.z08kprrqk
Description of the data and file structure
Files and variables
File: intent_novel_vaccine-06feb2025_share.csv
Description: Dataset used in the analyses found in the Vaccine article entitled “Intention to receive new vaccines post-COVID-19 pandemic among adults and health workers in Lusaka, Zambia” (here).
Variables
- gender: birth sex
- age_cat6: categorical age (six categories)
- hcw_alt: community member [0] or healthcare work (HCW) [1]
- marital: marital status
- religion: reported religion
- educ_cat: education categorically
- employ_cat: employment status categorically
- income_qtile: income quartile
- cov_rev: reported receipt of COVID-19 vaccine
- hiv: HIV status
- intent_flu_alt: intention to receive novel influenza vaccine
- intent_pneum_alt: intention to receive the novel pneumonia vaccine
- intent_newcov_alt: intention to receive novel COVID vaccine
- intent_dia_alt: intention to receive novel diarrheal illness vaccine
- intent_tb_alt: intention to receive novel tuberculosis vaccine
- intent_mal_alt: intention to receive novel malaria vaccine
- intent_hiv_alt: intention to receive novel HIV vaccine
- trust_gov: trusted source for vaccine information government
- trust_sci: trusted source for vaccine information scientific community
- trust_com: trusted source for vaccine information local community
- trust_other: trusted source for vaccine information other
- info_tmedia: accessed vaccine information through traditional media
- info_smedia: accessed vaccine information through social media
- info_com: accessed vaccine information through local community
- info_health: accessed vaccine information through the healthcare system
- info_other: accessed vaccine information through other source
- loc_area: recruitment location (numerically encoded)
Note: missing values are coded as “null”.
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- Study data was collected through facilitated interviews by trained data associates and stored securely in the Sawtooth Software (Provo, UT, USA) platform.
Study design
We conducted a cross-sectional survey in Lusaka, Zambia, recruiting community members from randomly selected households in four urban communities with relatively low COVID-19 vaccine uptake and healthcare workers (HCWs) at ten healthcare facilities chosen for diversity in size and geographic location. All participants were recruited from November to December 2023, long after the major COVID-19 waves in southern Africa, including the 2021 Omicron wave that was first reported in South Africa and Botswana.
Participants and recruitment strategy
Adults aged 18 years and above who resided in Lusaka Province and could provide consent were eligible to participate in the study. For HCWs, eligibility was restricted to those providing direct clinical services to patients or community-based health services.
We purposively selected 10 healthcare facilities to recruit HCWs and four high-density, low-income areas (compounds) with low COVID-19 vaccination rates to recruit community members. This targeted selection aimed to improve the representation of unvaccinated individuals. By focusing on areas with lower uptake, we sought to identify early signals where pre-emptive engagement strategies may be needed and to understand acceptance in settings that might represent more challenging scenarios for vaccine introduction.
Healthcare facilities included one University tertiary/specialist care teaching hospital, five first-level hospitals providing non-emergency in- and out-patient care, as well as three Urban Health Centres and one Rural Health Centres offering primary healthcare. Some of these health facilities served as COVID-19 referral treatment centres during the pandemic. We collected data from a convenience sample of HCWs drawn from five (5) distinct departments in 10 public health facilities including Antiretroviral Therapy and Treatment (ART), Mother and Child Health (MCH), TB, Adolescent, and Outpatient (OPD) Departments.
Each of the four communities has 10 administrative units (zones), which are divided into 10 neighborhoods of approximately 100 households. Each neighborhood has a Neighborhood Health Committee (NHC) consisting of community members who liaise with the healthcare facility. Per community, we randomly selected one zone and sensitized the participating health facility and 10 NHCs to the study. We employed systematic random sampling to select households from which to draw individuals for data collection.
Two study teams, each consisting of a field supervisor and four trained Research Assistants (RAs) accompanied by an NHC member and led by a study coordinator, collected data. Teams enrolled from 10 households per neighborhood and visited two neighborhoods each day. In each neighborhood, the team used the randomizing technique, "spin the bottle", to determine the initial direction and household and then approached every fifth household to the right. At each selected household, the RA and accompanying NHC member introduced the study to all household members, assessed interested household members for eligibility, and enrolled the first eligible member per household.