Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP): Communities Fighting COVID!: Returning Our Kids Back to School Safely
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PROVIDER: PRJNA825629 | ENA |
REPOSITORIES: ENA
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Project description:Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP): Communities Fighting COVID!: Returning Our Kids Back to School Safely
| PRJNA825630 | ENA
Project description:Gene expression linked to competitive performance in fighting cocks
| PRJEB89392 | ENA
Project description:Around the globe, the coronavirus pandemic has triggered various reactions of governments designed to contain the pandemic. Among other things, the pandemic led to an unforeseen and unprecedented closure of schools and daycare facilities. In turn, these closures might have forced parents to stay at home to care for their children who could not attend schools or kindergartens. From a social policy perspective, this raises the question of the extent to which parents’ employment has been affected, as time spent on childcare might make parents reduce their working hours. To answer this question, we exploit within-country variations in school and childcare policies across the federal states of Germany to analyse their effect on parents’ working time. In specific, we compare the working time of parents who live in different federal states with different restrictions regarding childcare in a difference-in-differences and difference-in-difference-in-differences framework. Our results reveal a non-negligible positive effect of an earlier and more far-reaching reopening of schools and daycare facilities on parents’ employment. Our results indicate that prolonged closure goes along with negative employment effects for parents. Hence, containment and closure policies to prevent the spread of COVID-19 have substantial economic and social side effects.
| S-EPMC10227541 | biostudies-literature
Project description:Galeorhinus galeus (School shark) genome, sGalGal3, sequence data
| PRJEB104277 | ENA
Project description:Galeorhinus galeus (School shark) genome, sGalGal3, haplotype 1
| PRJEB104278 | ENA
Project description:Galeorhinus galeus (School shark) genome, sGalGal3, haplotype 2
| PRJEB104279 | ENA
Project description:Comparison of school outbreaks of MTB
| PRJEB2077 | ENA
Project description:Injury occurring during critical periods of development may have long-term effects on inflammatory responses. Periventricular leukomalacia (PVL) is the most common cause of cerebral palsy (CP) in preterm infant. Activated leukocytes are the main source of inflammatory cytokines that give rise to white matter damage and CP in preterm infant. Here, we tested the hypothesis that inflammation profiles as pathogenic mediators for the occurrence of PVL in the neonatal period may persist in preterm children with CP at school age.
2009-09-30 | GSE17390 | GEO
Project description:BackgroundThe San Francisco Bay Area was the first region in the United States to enact school closures to mitigate SARS-CoV-2 transmission. The effects of closures on contact patterns for schoolchildren and their household members remain poorly understood.MethodsWe conducted serial cross-sectional surveys (May 2020, September 2020, February 2021) of Bay Area households with children to estimate age-structured daily contact rates for children and their adult household members. We examined changes in contact rates over the course of the COVID-19 pandemic, including after vaccination of household members, and compared contact patterns by household demographics using generalized estimating equations clustered by household.ResultsWe captured contact histories for 1,967 households on behalf of 2,674 children, comprising 15,087 non-household contacts over the three waves of data collection. Shortly after the start of shelter-in-place orders in May 2020, daily contact rates were higher among children from Hispanic families (1.52 more contacts per child per day; [95% CI: 1.14-2.04]), households whose parents were unable to work from home (1.82; [1.40-2.40]), and households with income < $150,000 (1.75; [1.33-2.33]), after adjusting for other demographic characteristics and household clustering. Between May and August 2020, non-household contacts of children increased by 145% (ages 5-12) and 172% (ages 13-17), despite few children returning to in-person instruction. Non-household contact rates among children were higher-by 1.75 [1.28-2.40] and 1.42 [0.89-2.24] contacts per child per day in 5-12 and 13-17 age groups, respectively, in households where at least one adult was vaccinated against COVID-19, compared to children's contact rates in unvaccinated households.ConclusionsChild contact rates rebounded despite schools remaining closed, as parents obtained childcare, children engaged in contact in non-school settings, and family members were vaccinated. The waning reductions observed in non-household contact rates of schoolchildren and their family members during a prolonged school closure suggests the strategy may be ineffective for long-term SARS-CoV-2 transmission mitigation. Reductions in age-assortative contacts were not as apparent amongst children from lower income households or households where adults could not work from home. Heterogeneous reductions in contact patterns raise concerning racial, ethnic and income-based inequities associated with long-term school closures as a COVID-19 mitigation strategy.
| S-EPMC8907906 | biostudies-literature
Project description:Background: Schistosomiasis is a major public health challenge and one of the neglected tropical diseases globally. Schistosoma haematobium, the causative agent of urogenital schistosomiasis, is primarily endemic in African countries, with school-aged children (7 to 15 years) considered the most vulnerable population. The current diagnostic method relies on identifying parasite eggs in urine through microscopy, which is labor-intensive, requires specialized skills, and is often limited in sensitivity, especially in mild infections. Disease-related biomarkers offer a promising avenue for advancing disease diagnosis and detection. Method: A total of 135 school-aged children (aged 7—15 years) from Zanzibar were recruited for this study. To identify potential host protein biomarkers, data independent acquisition (DIA) proteomics combined with machine learning was used to screen for differentially expressed proteins in the urine samples from individuals infected with schistosome haematobium. Machine learning was used to pinpoint the most discriminative proteins, which were subsequently validated using enzyme-linked immunosorbent assay (ELISA). Results: Proteomic analysis identified 823 common host proteins in urine samples from the infection group, with 269 proteins showing significant differential expression. Of these, 149 were up-regulated and 120 were down-regulated in the infected group. Machine learning further highlighted SYNPO2, CD276, α2M, LCAT, and hnRNPM as the most discriminating biomarkers for Schistosomiasis haematobium infection. ELISA validation confirmed the differential expression trends of these proteins, underscoring their diagnostic potential. Conclusions: This study identified key urinary protein biomarkers associated with Schistosoma haematobium
2025-06-16 | PXD059942 | Pride