Hybrid health regimes: Access to primary care physicians and COVID-19 vaccine uptake across municipalities in Romania

Petrovici, Norbert; Belbe, Stefana (Ștefana); Mare, Codruta (Codruța); Cotoi, Calin (Călin)

doi:10.1016/j.socscimed.2023.116305

Cited by 4 publications

References 33 publications

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Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level

Mare,

Belbe,

Petrovici

2024

AStA Adv Stat Anal

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This study investigates the spatial clustering and spillover effects of COVID-19 vaccine uptake in Romania, focusing on the municipality-level distribution of vaccine acceptance and hesitancy while considering the factors that influence it. The research uses the Spatial Durbin Error Model (SDEM) and identifies spatial clusterization, as well as significant contagion and diffusion processes in the vaccination behaviour conditioned by socioeconomic factors, labour market characteristics, social and religious attitudes, urban, and health indicators. We find evidence in favour of spatial spillover effects of the poverty rate, opposition to same-sex marriage, COVID-19 infection rate, peri-urban towns, and denser cities. Our findings contribute to the literature of the spatial distribution and determinants of vaccine uptake and carry practical implications for policy makers offering evidence-based insights that can inform targeted strategies and interventions to enhance vaccine acceptance and address hesitancy in specific locations.

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Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level

Mare,

Belbe,

Petrovici

2024

AStA Adv Stat Anal

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Evaluation of the space-time effects of Covid-19 on household loans and savings in Romania - A spatial panel data approach at county level

Belbe,

Moldovan,

Andrieș

et al. 2024

Emerging Markets Review

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Spatial Autocorrelation and Predictive Modeling of COVID-19 Vaccine Coverage in Thailand (2021–2022)

Muntaphan,

Sornlorm

2024

Preprint

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The COVID-19 pandemic posed significant challenges globally, with vaccine distribution being a critical factor for recovery. Despite achieving vaccination targets, Thailand faced disparities in vaccine coverage across regions. This study aims to investigate the spatial patterns and predictive determinants of COVID-19 vaccine coverage during 2021–2022 using spatial analysis techniques, including autocorrelation and regression models. Moran’s I and LISA showed significant positive spatial autocorrelation in vaccine coverage in 2021 (0.427) and 2022 (0.467). High-High clusters were found to be predominantly located in the Eastern region. The Spatial Error Model was the most suitable for predictions. In 2021, vaccine coverage was associated with population density, nighttime light, public transport, income, medical personnel, COVID-19 cases, and deaths (R² = 0.699). In 2022, key factors were the elderly population, nighttime light, internet access, and medical personnel (R² = 0.610). We conclude that in 2021, COVID-19 vaccine availability saw limited vaccine quantities distributed unevenly. Areas with substantial economic growth, high COVID-19 incidence rates, and a significant presence of medical personnel tended to have higher COVID-19 vaccine coverage. In 2022, vaccine availability improved with extensive distribution and community-level services targeting vulnerable groups, supported by online decision-making tools and a reservation system.

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Hybrid health regimes: Access to primary care physicians and COVID-19 vaccine uptake across municipalities in Romania

Cited by 4 publications

References 33 publications

Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level

Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level

Evaluation of the space-time effects of Covid-19 on household loans and savings in Romania - A spatial panel data approach at county level

Spatial Autocorrelation and Predictive Modeling of COVID-19 Vaccine Coverage in Thailand (2021–2022)

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