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1.
Emerg Infect Dis ; 28(13): S85-S92, 2022 12.
Article in English | MEDLINE | ID: covidwho-2162912

ABSTRACT

Viral genomic surveillance has been a critical source of information during the COVID-19 pandemic, but publicly available data can be sparse, concentrated in wealthy countries, and often made public weeks or months after collection. We used publicly available viral genomic surveillance data submitted to GISAID and GenBank to examine sequencing coverage and lag time to submission during 2020-2021. We compared publicly submitted sequences by country with reported infection rates and population and also examined data based on country-level World Bank income status and World Health Organization region. We found that as global capacity for viral genomic surveillance increased, international disparities in sequencing capacity and timeliness persisted along economic lines. Our analysis suggests that increasing viral genomic surveillance coverage worldwide and decreasing turnaround times could improve timely availability of sequencing data to inform public health action.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , SARS-CoV-2/genetics , Pandemics , COVID-19/epidemiology , Genome, Viral , Genomics
2.
Emerg Infect Dis ; 28(6): 1279-1280, 2022 06.
Article in English | MEDLINE | ID: covidwho-1809304

ABSTRACT

The SARS-CoV-2 Delta variant emerged shortly after COVID-19 vaccines became available in 2021. We describe SARS-CoV-2 breakthrough infections in a highly vaccinated, well-monitored US Embassy community in Kampala, Uganda. Defining breakthrough infection rates in highly vaccinated populations can help determine public health messaging, guidance, and policy globally.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Humans , SARS-CoV-2/genetics , Uganda/epidemiology
3.
Front Public Health ; 10: 809356, 2022.
Article in English | MEDLINE | ID: covidwho-1792881

ABSTRACT

We aimed to describe frequency of COVID-19 exposure risk factors among patients presenting for medical care at an urban, public hospital serving mostly uninsured/Medicare/Medicaid clients and risk factors associated with SARS-CoV-2 infection. Consenting, adult patients seeking care at a public hospital from August to November 2020 were enrolled in this cross-sectional investigation. Saliva, anterior nasal and nasopharyngeal swabs were collected and tested for SARS-CoV-2 using RT-PCR. Participant demographics, close contact, and activities ≤14 days prior to enrollment were collected through interview. Logistic regression was used to identify risk factors associated with testing positive for SARS-CoV-2. Among 1,078 participants, 51.8% were male, 57.0% were aged ≥50 years, 81.3% were non-Hispanic Black, and 7.6% had positive SARS-CoV-2 tests. Only 2.7% reported COVID-19 close contact ≤14 days before enrollment; this group had 6.79 adjusted odds of testing positive (95%CI = 2.78-16.62) than those without a reported exposure. Among participants who did not report COVID-19 close contact, working in proximity to ≥10 people (adjusted OR = 2.17; 95%CI = 1.03-4.55), choir practice (adjusted OR = 11.85; 95%CI = 1.44-97.91), traveling on a plane (adjusted OR = 5.78; 95%CI = 1.70-19.68), and not participating in an essential indoor activity (i.e., grocery shopping, public transit use, or visiting a healthcare facility; adjusted OR = 2.15; 95%CI = 1.07-4.30) were associated with increased odds of testing positive. Among this population of mostly Black, non-Hispanic participants seeking care at a public hospital, we found several activities associated with testing positive for SARS-CoV-2 infection in addition to close contact with a case. Understanding high-risk activities for SARS-CoV-2 infection among different communities is important for issuing awareness and prevention strategies.


Subject(s)
COVID-19 , Adult , Aged , COVID-19/diagnosis , COVID-19/epidemiology , Cross-Sectional Studies , Female , Georgia/epidemiology , Hospitals, Public , Humans , Male , Medicare , Risk Factors , SARS-CoV-2 , United States
4.
Emerg Infect Dis ; 27(8): 2081-2089, 2021.
Article in English | MEDLINE | ID: covidwho-1319585

ABSTRACT

We evaluated the performance of self-collected anterior nasal swab (ANS) and saliva samples compared with healthcare worker-collected nasopharyngeal swab specimens used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We used the same PCR diagnostic panel to test all self-collected and healthcare worker-collected samples from participants at a public hospital in Atlanta, Georgia, USA. Among 1,076 participants, 51.9% were men, 57.1% were >50 years of age, 81.2% were Black (non-Hispanic), and 74.9% reported >1 chronic medical condition. In total, 8.0% tested positive for SARS-CoV-2. Compared with nasopharyngeal swab samples, ANS samples had a sensitivity of 59% and saliva samples a sensitivity of 68%. Among participants tested 3-7 days after symptom onset, ANS samples had a sensitivity of 80% and saliva samples a sensitivity of 85%. Sensitivity varied by specimen type and patient characteristics. These findings can help physicians interpret PCR results for SARS-CoV-2.


Subject(s)
COVID-19 , SARS-CoV-2 , Aged, 80 and over , COVID-19 Testing , Georgia , Humans , Male , Nasopharynx , Saliva , Specimen Handling
5.
Emerg Infect Dis ; 27(4): 1164-1168, 2021.
Article in English | MEDLINE | ID: covidwho-1146202

ABSTRACT

We compared the characteristics of hospitalized and nonhospitalized patients who had coronavirus disease in Atlanta, Georgia, USA. We found that risk for hospitalization increased with a patient's age and number of concurrent conditions. We also found a potential association between hospitalization and high hemoglobin A1c levels in persons with diabetes.


Subject(s)
COVID-19 , Diabetes Mellitus , Glycated Hemoglobin/analysis , Hospitalization/statistics & numerical data , Hypertension , Obesity , Patient Care Management , Age Factors , COVID-19/epidemiology , COVID-19/psychology , COVID-19/therapy , Diabetes Mellitus/blood , Diabetes Mellitus/epidemiology , Disease Progression , Female , Georgia/epidemiology , Humans , Hypertension/drug therapy , Hypertension/epidemiology , Male , Middle Aged , Multimorbidity , Obesity/diagnosis , Obesity/epidemiology , Patient Acceptance of Health Care , Patient Care Management/methods , Patient Care Management/standards , Patient Care Management/statistics & numerical data , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , SARS-CoV-2
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