Table 4 Selected topics in the COVID-19 GPH database, with examples

GPH

Variants of SARS-CoV-2

Genomic Analysis and Lineage Identification of SARS-CoV-2 Strains in Migrants Accessing Europe Through the Libyan Route [16]

This study sequenced SARS-CoV-2 strains to determine the genetic variation and lineage of the virus in migrants [16]

Rapid Emergence and Epidemiologic Characteristics of the SARS-CoV-2 B.1.526 Variant [17]

This MMWR discusses the epidemiology B.1.526 variant, which has a E484K mutation, and compares the severity of disease resulting from B.1.526 to other SARS-CoV-2 strains [17]

Role of human genetic variation in COVID-19 susceptibility and severity

A cluster of differentiation 14(CD14) polymorphism (C-159T rs2569190) is associated with SARS-CoV-2 infection and mortality in the European population [20]

This study examined the association between the infection rate for COVID-19 in countries and the T allele frequency for rs2569190 in the country’s population [20]

The influence of IFITM3 polymorphisms on susceptibility to SARS-CoV-2 infection and severity of COVID-19 [21]

This study compared positive and negative SARS-CoV-2 cases in order to determine whether are genotypic differences between the cases for SNPs within IFITM3 [21]

Efficacy of SARS-CoV-2 vaccines^a

Efficacy of NVX-CoV2373 Covid-19 Vaccine against the B.1.351 Variant [22]

Different strains of SARS-CoV-2 have varying genotypes. As a result, the efficacy of a vaccine may vary for different strains. This study provides evidence for the efficacy of the NVX-CoV2373 vaccine against a specific strain, B.1.351 [22]

Antibody Response to 2-Dose SARS-CoV-2 mRNA Vaccine Series in Solid Organ Transplant Recipients [23]

mRNA vaccines use viral mRNA to generate immunity. This study examines the antibody response in patients who received solid organ transplants after receiving up to 2 doses of a mRNA vaccine for COVID-19 [23]

Impact of COVID-19 on people with genetic diseases

BRCA testing in a genomic diagnostics referral center during the COVID-19 pandemic [18]

Mutations in BRCA1 and BRCA2 are associated with hereditary breast and ovarian cancer syndrome. This article provides evidence for the decrease in BRCA testing during the COVID-19 pandemic [18]

SARS-CoV-2 infection associated with hepatitis in an infant with X-linked severe combined immunodeficiency [19]

A case report of 11 week old infant with X-linked severe combined immunodeficiency, a genetic disease resulting from mutations in IL2RG, who tested positive for COVID-19 [19]

Non-GPH

Epidemic modeling of COVID-19

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England [24]

This study developed a mathematical model to predict the reproduction number, resulting hospitalizations, and resulting deaths for the B.1.1.7 COVID-19 variant [24]

Modeling COVID-19 Pandemic with Hierarchical Quarantine and Time Delay [25]

This study predicts the spread of COVID-19 using a SIDQR model and the effect of hierarchical quarantine on the spread of the virus [25]

Machine learning applied to COVID-19 data

COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images [26]

This study to test the accuracy of a machine learning model to distinguish between COVID-19 cases, pneumonia cases, and normal cases using chest X-ray images [26]

Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis [27]

This review determines the research trends and publication patterns for using artificial intelligence for COVID-19 [27]

Big data analysis

Public Perception of COVID-19 Vaccines through Analysis of Twitter Content and Users [28]

This study analyzed about 2.4 million tweets from about 1 million users in order to determine the general attitude of the public toward COVID-19 vaccination [28]

IgM anti-SARS-CoV-2-specific determination: useful or confusing? Big Data analysis of a real-life scenario [29]

This study analyzed a laboratory database, about 209,408 samples and tests, to determine the clinical utility of IgM detection in slowing the spread of COVID-19 [29]