BMC Global and Public Health has launched with a collection on stigma and mental health in infectious diseases, guest-edited by DaftaryAmrita and jerrychikovore. Further details can be found here: Submit your important work here:
Health-related stigma is a global, multi-level social phenomenon that can negatively affect stigmatized groups as well as the communities they live in. The effect of stigma on individuals is varied and can include isolation, public embarrassment, depression, anxiety, loss of access to material and social resources including health care services, abuse, and violence. Health-related stigma is a major barrier to achieving optimal health outcomes for affected populations.
Whilst stigma is observed across a number of health conditions, it has most often been associated with infectious diseases and populations at greatest risk for infection. This is apparent in HIV and tuberculosis, and has become apparent again during the COVID-19 pandemic and monkeypox outbreaks. Intersections between stigma and mental health are also more frequently being documented in the context of infectious diseases, with significant impacts on resilience and quality of life.
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Socioeconomic differences in COVID-19 infection, hospitalisation and mortality in urban areas in a region in the South of Europe - BMC Public HealthBackground To analyse differences in confirmed cases, hospitalisations and deaths due to COVID-19 related to census section socioeconomic variables. Methods Ecological study in the 12 largest municipalities in Andalusia (Spain) during the first three epidemic waves of the COVID-19 (02/26/20—03/31/21), covering 2,246 census sections (unit of analysis) and 3,027,000 inhabitants. Incidence was calculated, standardised by age and sex, for infection, hospitalisation and deaths based on average gross income per household (AGI) for the census tracts in each urban area. Association studied using a Poisson Bayesian regression model with random effects for spatial smoothing. Results There were 140,743 cases of COVID-19, of which 12,585 were hospitalised and 2,255 died. 95.2% of cases were attributed to the second and third waves, which were jointly analysed. We observed a protective effect of income for infection in 3/12 cities. Almeria had the largest protective effect (smoothed relative risk (SRR) = 0.84 (0.75–0.94 CI 95%). This relationship reappeared with greater magnitude in 10/12 cities for hospitalisation, lowest risk in Algeciras SRR = 0.41 (0.29–0.56). The pattern was repeated for deaths in all urban areas and reached statistical significance in 8 cities. Lowest risk in Dos Hermanas SRR = 0.35 (0.15–0.81). Conclusions Income inequalities by geographical area were found in the incidence of COVID-19. The strengths of the association increased when analysing the severe outcomes of hospitalisations and, above all, deaths.
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