Highlights BAI score of respondents here is higher than those in previous studies with Chinese. Quarantined people presented the highest BAI score and incidence of anxiety. People in high epidemic area showed higher BAI score and incidence of anxiety. All factors impacted respondents’ anxiety level significantly, except gender.

Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

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ObjectivesEssential public health service use among the migrants is the key obstacle of the equalisation of public health service in China. This study aims to investigate the status of the establishment of health records, and explore the effect of social integration on the establishment of health records among elderly migrants in China.Design and settingThis is a cross-sectional study of data from the 2015 National Internal Migrants Dynamic Monitoring Survey in China.Participants and methodsRespondents who not clear about whether they had established health records and who lived in the inflow area for less than 6 months were excluded. A total of 3158 migrants aged over 60 years were included in this study. Univariate logistic regression and multivariate logistic regression were employed to explore the association between social integration and establishment of health records.ResultsApproximately 41.6% of elderly migrants established health records in their inflow communities. Those elderly migrants from higher-income households were less likely to establish health records (p<0.001; OR=0.64; 0.51–0.80). Elderly migrants with local medical insurance (p<0.001; OR=2.03; 1.60–2.57), long-term settlement intention (p<0.001; OR=1.37; 1.15–1.63), and had more than three local friends (p<0.001; OR=1.54; 1.27–1.86) were more likely to establish health records.ConclusionsThis study demonstrates a relationship between social integration and establishment of the health records among elderly migrants in China. Improving the social integration of elderly migrants might be helpful to enhance the equalisation of essential public health services.