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The potential impact of public health care denial on the transmission dynamics of COVID-19 in South Africa.
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When the demand for public health care increases, governments often prioritize citizens over foreign nationals. In South Africa, limited resources and socio-economic inequalities pose unique challenges to epidemic control. The overcrowding and increasing demand for public healthcare have led to protests by some community groups, which have led to the denial of healthcare to migrants. Denying treatment to some infected individuals has the propensity to lead to an increase in the size of an epidemic. We introduce a novel epidemiological model that incorporates health care denial as a dynamic factor influencing the transmission of COVID-19. It incorporates healthcare denial as a key parameter influencing the progression and recovery rates of infections. The study presents a novel framework for understanding the intersection of healthcare access denial and the transmission dynamics of COVID-19. While much of the existing literature has focused on the direct effects of healthcare interventions on pandemic control, this research uniquely emphasizes the role that restricted access to healthcare services, whether due to policy decisions, resource shortages, or system inefficiencies, can exacerbate the spread of infectious diseases. The treatment class of the model is partitioned to account for individuals denied treatment at public healthcare facilities. Analytical results establish conditions for the existence and stability of both disease-free and endemic equilibria, with the basic reproduction number
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