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

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

Abstract

This study analyses COVID-19 vaccine uptake at the municipal level in Romania using the global health regimes and vaccine hesitancy perspectives. Our spatial regression (SARAR-het Durbin) shows that the number of primary care physicians is a significant predictor of vaccine uptake, and municipalities with higher access to the labour market have higher vaccination rates. We provide a historical perspective to demonstrate that the current health regime in Romania is a hybrid of internationalist and global health regimes, with socialist investments affecting labour participation, education, poverty, and vaccination rates. Our findings highlight the impact of regional disparities and partial privatization of the health system.

Suggested Citation

  • Petrovici, Norbert & Belbe, Stefana (Ștefana) & Mare, Codruta (Codruța) & Cotoi, Calin (Călin), 2023. "Hybrid health regimes: Access to primary care physicians and COVID-19 vaccine uptake across municipalities in Romania," Social Science & Medicine, Elsevier, vol. 337(C).
    • Handle: RePEc:eee:socmed:v:337:y:2023:i:c:s0277953623006627
    DOI: 10.1016/j.socscimed.2023.116305
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    References listed on IDEAS

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    1. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    2. Marzena Tambor & Jacek Klich & Alicja Domagała, 2021. "Financing Healthcare in Central and Eastern European Countries: How Far Are We from Universal Health Coverage?," IJERPH, MDPI, vol. 18(4), pages 1-26, February.
    3. Ritu Agarwal & Michelle Dugas & Jui Ramaprasad & Junjie Luo & Gujie Li & Guodong (Gordon) Gao, 2021. "Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(33), pages 2107873118-, August.
    4. Pragyan Deb & Davide Furceri & Daniel Jimenez & Siddharth Kothari & Jonathan D. Ostry & Nour Tawk, 2023. "Determinants of COVID-19 Vaccine Rollouts and Their Effects on Health Outcomes," Applied Health Economics and Health Policy, Springer, vol. 21(1), pages 71-89, January.
    5. Sabina Stan & Roland Erne, 2021. "Time for a paradigm change? Incorporating transnational processes into the analysis of the emerging European health-care system," Transfer: European Review of Labour and Research, , vol. 27(3), pages 289-302, August.
    6. Voicu, Bogdan & Fărcășanu, Dana & Mustață, Mirela & Deliu, Alexandra & Vișinescu, Iulia, 2023. "Using laws, common sense, and statistical approaches to design indicators for ‘medical desertification’. An application on the Romanian case," Social Science & Medicine, Elsevier, vol. 327(C).
    7. repec:elg:eechap:14395_1 is not listed on IDEAS
    8. Abolfazl Mollalo & Moosa Tatar, 2021. "Spatial Modeling of COVID-19 Vaccine Hesitancy in the United States," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    9. Brown, T.M. & Cueto, M. & Fee, E., 2006. "The World Health Organization and the transition from international to global public health," American Journal of Public Health, American Public Health Association, vol. 96(1), pages 62-72.
    10. Purcel, Alexandra-Anca & Dragos, Cristian Mihai & Mare, Codruța & Dragos, Simona Laura, 2023. "Voluntary health insurance and out-of-pocket payments in European OECD countries," Economic Modelling, Elsevier, vol. 120(C).
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    1. Belbe, Ștefana & Moldovan, Darie & Andrieș, Alin Marius & Otto, Philipp & Mare, Codruța, 2024. "Evaluation of the space-time effects of Covid-19 on household loans and savings in Romania - A spatial panel data approach at county level," Emerging Markets Review, Elsevier, vol. 63(C).

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