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Coronavirus

Evaluating the accessibility and capacity of SARS-CoV-2 vaccination and analyzing convenience-related factors during the Omicron variant epidemic in Beijing, China

ORCID Icon, , , , , , , , , , ORCID Icon & ORCID Icon show all
Article: 2289250 | Received 18 Oct 2023, Accepted 27 Nov 2023, Published online: 19 Dec 2023

Figures & data

Figure 1. Number of daily SARS-CoV-2 vaccinations and the division of the five periods. The solid blue line shows the number of daily vaccinations in Beijing from October 12, 2022 to May 12, 2023, green arrows and font show policy changes, and red font shows the epidemic trend. The gray boxes mark the five periods chosen for the study. The Spring festival (from January 21 to 27, 2023) and May Day holidays (from April 29, to May 3, 2023) were excluded. COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Figure 1. Number of daily SARS-CoV-2 vaccinations and the division of the five periods. The solid blue line shows the number of daily vaccinations in Beijing from October 12, 2022 to May 12, 2023, green arrows and font show policy changes, and red font shows the epidemic trend. The gray boxes mark the five periods chosen for the study. The Spring festival (from January 21 to 27, 2023) and May Day holidays (from April 29, to May 3, 2023) were excluded. COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Table 1. Implementation of SARS-CoV-2 vaccination services in different areas of Beijing.

Figure 2. Accessibility and capacity of vaccination services in Beijing. Panel a describes the distribution of vaccination sites and the results of hot spot analysis; panel b describes the results of average nearest neighbor analysis; and panel c describes the results of Ripley’s K function analysis.

Figure 2. Accessibility and capacity of vaccination services in Beijing. Panel a describes the distribution of vaccination sites and the results of hot spot analysis; panel b describes the results of average nearest neighbor analysis; and panel c describes the results of Ripley’s K function analysis.

Figure 3. Real demand for vaccination in different areas in Beijing during the selected three periods. Period B: the period at the beginning of the epidemic when the daily doses of vaccines increased; period C: the period of the vaccination and epidemic peak; period E: the period at the later phase of the epidemic when the daily doses of vaccines decreased.

Figure 3. Real demand for vaccination in different areas in Beijing during the selected three periods. Period B: the period at the beginning of the epidemic when the daily doses of vaccines increased; period C: the period of the vaccination and epidemic peak; period E: the period at the later phase of the epidemic when the daily doses of vaccines decreased.

Table 2. Univariate and multivariate analysis of interventions to promote SARS-CoV-2 vaccination.

Supplemental material

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Data availability statement

The datasets used and/or analyzed during the current study are available from the corresponding author, [Li], upon reasonable request.