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Measuring COVID-19 vaccination coverage: an enhanced age-adjusted two-step floating catchment area model.
Mohammadi, Alireza; Mollalo, Abolfazl; Bergquist, Robert; Kiani, Behzad.
  • Mohammadi A; Department of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
  • Mollalo A; Department of Public Health and Prevention Science, School of Health Sciences, Baldwin Wallace University, Berea, OH, USA.
  • Bergquist R; Ingerod, Brastad, Sweden (formerly with the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases, World Health Organization), Geneva, Switzerland.
  • Kiani B; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Kiani.Behzad@gmail.com.
Infect Dis Poverty ; 10(1): 118, 2021 Sep 16.
Article in English | MEDLINE | ID: covidwho-1496234
ABSTRACT

BACKGROUND:

There are only limited studies on access to COVID-19 vaccines and identifying the most appropriate health centres for performing vaccination in metropolitan areas. This study aimed to measure potential spatial access to COVID-19 vaccination centres in Mashhad, the second-most populous city in Iran.

METHODS:

The 2021 age structure of the urban census tracts was integrated into the enhanced two-step floating catchment area model to improve accuracy. The model was developed based on three different access scenarios only public hospitals, only public healthcare centres and both (either hospitals or healthcare centres) as potential vaccination facilities. The weighted decision-matrix and analytic hierarchy process, based on four criteria (i.e. service area, accessibility index, capacity of vaccination centres and distance to main roads), were used to choose potential vaccination centres looking for the highest suitability for residents. Global Moran's index (GMI) was used to measure the spatial autocorrelation of the accessibility index in different scenarios and the proposed model.

RESULTS:

There were 26 public hospitals and 271 public healthcare centres in the study area. Although the exclusive use of public healthcare centres for vaccination can provide the highest accessibility in the eastern and north-eastern parts of the study area, our findings indicate that including both public hospitals and public healthcare centres provide high accessibility to vaccination in central urban part. Therefore, a combination of public hospitals and public healthcare centres is recommended for efficient vaccination coverage. The value of GMI for the proposed model (accessibility to selected vaccination centres) was calculated as 0.53 (Z = 162.42, P < 0.01). Both GMI and Z-score values decreased in the proposed model, suggesting an enhancement in accessibility to COVID-19 vaccination services.

CONCLUSIONS:

The periphery and poor areas of the city had the least access to COVID-19 vaccination centres. Measuring spatial access to COVID-19 vaccination centres can provide valuable insights for urban public health decision-makers. Our model, coupled with geographical information systems, provides more efficient vaccination coverage by identifying the most suitable healthcare centres, which is of special importance when only few centres are available.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination Coverage / COVID-19 Vaccines / COVID-19 / Health Services Accessibility Type of study: Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article Affiliation country: S40249-021-00904-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination Coverage / COVID-19 Vaccines / COVID-19 / Health Services Accessibility Type of study: Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article Affiliation country: S40249-021-00904-6