Guide to Global Digital Tools for COVID-19 Response
CDC, October 23, 2020
The guide compares the District Health Information Software (DHIS2), the Surveillance, Outbreak Response Management and Analysis System (SORMAS), Go.Data, Open Data Kit (ODK), Epi Info, CommCare, KoboToolbox, Excel, and paper. Each has been deployed in various countries for contact tracing, investigations, and/or, in the case of DHIS2 and SORMAS, national surveillance
Identification of required host factors for SARS-CoV-2 infection in human cells
Z Daniloski et al, Cell, October 24, 2020
We performed a genome-scale CRISPR loss-of-function screen to identify host factors required for SARS-CoV-2 viral infection of human alveolar epithelial cells. Top-ranked genes cluster into distinct pathways, including the vacuolar ATPase proton pump, Retromer, and Commander complexes. Given the key role of the ACE2 receptor in the early stages of viral entry, we show that loss of RAB7A reduces viral entry by sequestering the ACE2 receptor inside cells.
Spatial Inequities in COVID-19 Testing, Positivity, Incidence and Mortality in 3 US Cities: a Longitudinal Ecological Study
U Bilal et al, MEDRXIV, October 23, 2020
SARS-CoV-2 induces inflammasome-dependent pyroptosis and downmodulation of HLA-DR in human monocytes
AC Ferreira et al, MEDRXIV, October 23, 2020
Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19
BL Le et al, BIORXIV, October 22, 2020
PharmaNet: Pharmaceutical discovery with deep recurrent neural networks.
PR Puentes et al, BIORXIV, October 22, 2020
Exposome changes in primary school children following the wide population non-pharmacological interventions implemented due to COVID-19 in Cyprus: a national survey
C Constantino et al, MEDRXIV, October 23, 2020
Impact of body composition on COVID-19 susceptibility and severity: a two-sample multivariable Mendelian randomization study
D Freuer et al, MEDRXIV, October 24,2020
Using Mendelian randomization, we investigated the causal impact of body composition on the susceptibility and severity of COVID-19. Genetically predicted BMI was strongly associated with both, susceptibility (OR=1.31 per 1 SD increase) and hospitalization (OR=1.62 per 1 SD increase) even after adjustment for genetically predicted visceral obesity traits. These associations were neither mediated substantially by T2D nor by CVD.