Examinando por Materia "Vaccination"

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    Ítem
    Historical Persistence : Examining the Effects of the 1918 Influenza Pandemic on COVID-19 Vaccination Patterns
    (Tilburg University, 2024) Ramírez Cruz, Juan José; Giraldo Osorio, Marcela; Laplana, Antonio
    Historical persistence is an important factor to understand how our institutions, former policies, and historical events shaped our societal constrains nowadays; our present-day attitudes; and how our economic interactions will be shaped in the long run. The identification of persistence in interdisciplinary sectors can have important implications for policy-making in future strategies, making these decisions more effective and targeted at our objectives by researching how former approaches shaped contemporary responses. This article studies the impact of former historical events and policies such as the 1918 Great Influenza, and the interventions to mitigate it, on present-day decisions concerning public health issues, specifically COVID-19 vaccination rates. By interpreting how these historical events shaped current behaviours and institutional frameworks, it enhances the opportunity to design efficient crisis mitigation plans which can address disparities across demographics and geography, and it is an alternative point of view for policy-makers and researchers to understand inherited human behaviour and societal resilience for future research and more accurate governmental interventions.
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    Simulación del nivel de eliminación de sarampión y rubéola según la estratificación e interacción social
    (Universidad Nacional de Colombia, 2010-01-01) Hincapié-Palacio, D.; Ospina-Giraldo, J.; Gómez-Arias, R.D.; Uyi-Afuwape, A.; Chowell-Puente, G.; Hincapié-Palacio, D.; Ospina-Giraldo, J.; Gómez-Arias, R.D.; Uyi-Afuwape, A.; Chowell-Puente, G.; Universidad EAFIT. Departamento de Ciencias; Lógica y Computación
    Objective The study was aimed at comparing measles and rubella disease elimination levels in a homogeneous and heterogeneous population according to socioeconomic status with interactions amongst low- and high-income individuals and diversity in the average number of contacts amongst them. Methods Effective reproductive rate simulations were deduced from a susceptibleinfected-recovered (SIR) mathematical model according to different immunization rates using measles (1980 and 2005) and rubella (1998 and 2005) incidence data from Latin-America and the Caribbean. Low- and high-income individuals' social interaction and their average number of contacts were analysed by bipartite random network analysis. MAPLE 12 (Maplesoft Inc, Ontario Canada) software was used for making the simulations. Results The progress made in eliminating both diseases between both periods of time was reproduced in the socially-homogeneous population. Measles (2005) would be eliminated in high- and low-income groups; however, it would only be achieved in rubella (2005) if there were a high immunity rate amongst the low-income group. If the average number of contacts were varied, then rubella would not be eliminated, even with a 95 % immunity rate. Conclusion Monitoring the elimination level in diseases like measles and rubella requires that socio-economic status be considered as well as the population's interaction pattern. Special attention should be paid to communities having diversity in their average number of contacts occurring in confined spaces such as displaced communities, prisons, educational establishments, or hospitals.