ArticleBMC public health2023
COVID-19 vaccination and governance in the case of low, middle and high-income countries.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- The PABS system under the pandemic agreement: Current status, controversies in negotiations, and future trends.Biosafety and health · 2026Article
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- Assessing the policy and institutional framework for multisectoral governance and accountability in emergency preparedness and response in Ethiopia.PLOS global public health · 2026Article
- Evaluating community engagement strategies in COVID-19: insights from a National Quasi-Experimental Intervention.BMC public health · 2025Article
- Roles of mobile teams in tracing lost to follow-up clients: evidence from the optimization of COVID-19 vaccination uptake and routine immunization in Ekiti State.BMC health services research · 2025Article
- A retrospective study on factors associated with COVID-19 vaccine refusal among individuals aged 15 years and above in the general population of Bamenda I sub-division, Cameroon.Frontiers in public health · 2025Article
- Cost-based COVID-19 vaccination and willingness to pay: A post-pandemic review.Human vaccines & immunotherapeutics · 2024Review
- Sociopolitical context and COVID-19 fatality rates in OECD countries: a configurational approach.BMC public health · 2024Article
- Applying a Primary Health Care Approach to Closing the Human Resource for Health Gaps for Immunization.Healthcare (Basel, Switzerland) · 2024Article
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- The evolving landscape of SARS-CoV-2 vaccination in Mexico: real-world evidence in Mexican pensioners.Lancet regional health. Americas · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobal crises, regardless of the place where they started to spread or of the factors that triggered them, require a comprehensive approach, primarily based on good communication, cooperation and mutual support. No individual and no institution should remain indifferent to crises but, on the contrary, be fully aware that any involvement in curbing them matters. Although humanity can be affected by various types of crises, in this paper we refer to the one related to COVID-19 pandemic. There are certain reasons that come to justify our choice: first of all, being a shock with a strong impact on people, its analysis should be performed from several angles; this may bring to light an image with its disparate propagation and measures to counteract it both in developed countries, and especially in those with a shortage of resources. Secondly, in the context of the emergence of vaccines against COVID-19, it is helpful to have an overview of COVID-19 through the lens of the relationship between the vaccination process and the elements that characterize governance, with a differentiated dashboard by country categories worldwide: low, middle and high-income countries. Our study is far from capturing the complexity arising from such social problem, but rather aims to outline the defining role of governance when it comes to providing firm reactions to the COVID-19 crisis.
methodsGiven that our sample consists of a large number of countries, namely 170, first, examined all together, and then, split into three groups (high, middle and low-income), it is challenging to address governance in association with COVID-19 vaccination, in order to see how much they interact and how each of the six aggregate governance indicators of the World Bank (Worldwide Governance Indicators) is reflected in this process. Even if they do not oscillate strongly over relatively short periods of time, reporting on health issues requires a sequential inventory, considering closer time intervals, so as to be able to act promptly. Thus, to better distinguish how the COVID-19 vaccination process evolved in low, middle and high-income countries, but also how it was imprinted by governance, we present the situation quarterly (March, June, September and December), in 2021, the year when the immunization campaigns were the most intense at the global level. Regarding the applied methods, we mention both OLS regressions with robust estimators and a panel model, used to investigate the determinants of COVID-19 vaccination, some of them describing the good governance, as well as other dimensions.
resultsThe findings point out that the influence of governance on COVID-19 vaccination differs depending on whether a country belongs to high, middle or low-income typology: the strongest determinism of governance on vaccination is encountered in high-income countries, and the weakest in low-income ones; in some cases, governance does not matter significantly. However, exploring the three groups of states included in the research, it is observed that the most relevant factors in this relationship are government effectiveness, regulatory quality and control of corruption.
conclusionsBesides the order of importance of governance indicators on COVID-19 vaccination, our study indicates that, overall, governance positively shapes the vaccination rate at the level of the chosen sample. In normative terms, these findings can be translated particularly by the fact that they can serve as information to raise awareness on the relevance of the existence of an institutional framework that allows the formulation of strategies according to the patterns of each country, especially since the actionable tools depend on the available resources. As a general conclusion, public policies should be designed in such a way as to strengthen trust in vaccination regulations and in governments, to reduce the multifaceted negative effects of this health crisis and to hope for its total end.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.