Effects of primary health care and socioeconomic aspects on the dispersion of COVID-19 in the Brazilian Northeast: Ecological study of the first pandemic wave. | LitMetric
Background: The COVID-19 pandemic has had a negative impact on socioeconomic and public health conditions of the population.
Aim: To measure the temporal evolution of COVID-19 cases in cities near the countryside outside metropolitan areas of northeastern Brazil and the impact of the primary care organization in its containment.
Methods: This is a time-series study, based on the first three months of COVID-19 incidence in northeastern Brazil. Secondary data were used, the outcome was number of COVID-19 cases. Independent variables were time, coverage and quality score of basic health services, and demographic, socioeconomic and social isolation variables. Generalizable Linear Models with first order autoregression were applied.
Results: COVID-19 spreads heterogeneously in cities near the countryside of Northeastern Brazilian cities, showing associations with the city size, socioeconomic and organizational indicators of services. The Family Health Strategy seems to mitigate the speed of progression and burden of the disease, in addition to measures such as social isolation and closure of commercial activities.
Conclusion: The spread of COVID-19 reveals multiple related factors, which require coordinated intersectoral actions in order to mitigate its problems, especially in biologically and socially vulnerable populations.
Aim: This study had two aims: to analyze surgical patients with mediastinal cysts and masses according to clinical, histopathological, and surgical types; and compare the impact of the coronavirus disease 2019 (COVID-19) pandemic on these cases.
Methods: A retrospective analysis was conducted on 132 patients who had undergone surgical intervention for mediastinal cysts and masses. Demographic, clinical, and histopathologic data were recorded.
Context/background: The COVID-19 pandemic affected the health care services worldwide, with the target of END TB 2025; it was important to make sure that the TB notification and linkage services were not hampered. The current study aims to document the overall impact of COVID-19 on TB notification and treatment services.
Aims/objectives: To document the impact of COVID-19 on notification and comparison of their outcome between pre-COVID-19 and COVID-19 era.
We present MMPred, a software tool that integrates epitope prediction and sequence alignment algorithms to streamline the computational analysis of molecular mimicry events in autoimmune diseases. Starting with two protein or peptide sets (e.g.
Background: The multifaceted non-pharmaceutical interventions after the outbreak of the COVID-19 pandemic not only limited the spread of SARS-CoV2 but also had an impact on the prevalence of other pathogens.
Methods: In this work, we retrospectively analyzed the epidemiological characteristics of (MP) in children before and after the COVID-19 pandemic in Shandong, China. From 2019-2023, there were 29,558 visits of pediatric patients (1 month to 15 years old) with respiratory tract infection (RTI) symptoms at a tertiary hospital in Shandong Province, 10,039 of which were positive for MP according to a passive agglutination assay of the serum IgM antibodies.
Background: The risk of severe coronavirus disease 2019 (COVID-19) in pregnant women is elevated.
Aim: To examine the outcomes of pregnant women with COVID-19 and report perinatal outcomes and complications, while providing a brief review of current literature.
Methods: The study included pregnant women presenting from April 2020 to February 2022 to the emergency department (ED) of a tertiary hospital.
