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1.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-297073

ABSTRACT

Wastewater-based epidemiology is an emerging tool to monitor COVID-19 infection levels by measuring the concentration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. There remains a need to improve wastewater RNA extraction methods' sensitivity, speed, and reduce reliance on often expensive commercial reagents to make wastewater-based epidemiology more accessible. We present a kit-free wastewater RNA extraction method, titled "Sewage, Salt, Silica and SARS-CoV-2" (4S), that employs the abundant and affordable reagents sodium chloride (NaCl), ethanol and silica RNA capture matrices to recover 6-fold more SARS-CoV-2 RNA from wastewater than an existing ultrafiltration-based method. The 4S method concurrently recovered pepper mild mottle virus (PMMoV) and human 18S ribosomal subunit rRNA, both suitable as fecal concentration controls. The SARS-CoV-2 RNA concentrations measured in three sewersheds corresponded to the relative prevalence of COVID-19 infection determined via clinical testing. Lastly, controlled experiments indicate that the 4S method prevented RNA degradation during storage of wastewater samples, was compatible with heat pasteurization, and could be performed in approximately 3 hours. Overall, the 4S method is promising for effective, economical, and accessible wastewater-based epidemiology for SARS-CoV-2, providing another tool to fight the global pandemic. SYNOPSIS: The 4S method for measuring SARS-CoV-2 in wastewater is promising for effective, economical, and accessible wastewater-based epidemiology. Abstract art:

2.
BMC Geriatr ; 21(1): 415, 2021 07 06.
Article in English | MEDLINE | ID: covidwho-1298043

ABSTRACT

BACKGROUND: Older age and comorbid burden are both associated with adverse outcomes in SARS-CoV-2, but it is not known whether the association between comorbid burden and adverse outcomes differs in older and younger adults. OBJECTIVE: To compare the relationship between comorbid burden and adverse outcomes in adults with SARS-CoV-2 of different ages (18-64, 65-79 and ≥ 80 years). DESIGN, SETTING, AND PARTICIPANTS: Observational longitudinal cohort study of 170,528 patients who tested positive for SARS-CoV-2 in the US Department of Veterans Affairs (VA) Health Care System between 2/28/20 and 12/31/2020 who were followed through 01/31/2021. MEASUREMENTS: Charlson Comorbidity Index (CCI); Incidence of hospitalization, intensive care unit (ICU) admission, mechanical ventilation, and death within 30 days of a positive SARS-CoV-2 test. RESULTS: The cumulative 30-day incidence of death was 0.8% in cohort members < 65 years, 7.1% in those aged 65-79 years and 20.6% in those aged ≥80 years. The respective 30-day incidences of hospitalization were 8.2, 21.7 and 29.5%, of ICU admission were 2.7, 8.6, and 11% and of mechanical ventilation were 1, 3.9 and 3.2%. Median CCI (interquartile range) ranged from 0.0 (0.0, 2.0) in the youngest, to 4 (2.0, 7.0) in the oldest age group. The adjusted association of CCI with all outcomes was attenuated at older ages such that the threshold level of CCI above which the risk for each outcome exceeded the reference group (1st quartile) was lower in younger than in older cohort members (p < 0.001 for all age group interactions). LIMITATIONS: The CCI is calculated based on diagnostic codes, which may not provide an accurate assessment of comorbid burden. CONCLUSIONS: Age differences in the distribution and prognostic significance of overall comorbid burden could inform clinical management, vaccination prioritization and population health during the pandemic and argue for more work to understand the role of age and comorbidity in shaping the care of hospitalized patients with SARS-CoV-2.


Subject(s)
COVID-19 , SARS-CoV-2 , Aged , Hospitalization , Humans , Intensive Care Units , Longitudinal Studies , Middle Aged , Pandemics
3.
Vienna Yearbook of Population Research ; 19:1-14, 2021.
Article in English | Scopus | ID: covidwho-1295546

ABSTRACT

Per capita GDP has limited use as a well-being indicator because it does not capture many dimensions that imply a “good life”, such as health and equality of opportunity. However, per capita GDP has the virtues of being easy to interpret and to calculate with manageable data requirements. Against this backdrop, there is a need for a measure of well-being that preserves the advantages of per capita GDP, but also includes health and equality. We propose a new parsimonious indicator to fill this gap, and calculate it for 149 countries. This new indicator could be particularly useful in complementing standard well-being indicators during the COVID-19 pandemic. This is because (i) COVID-19 predominantly affects older adults beyond their prime working ages whose mortality and morbidity do not strongly affect GDP, and (ii) COVID-19 is known to have large effects on inequality in many countries. © 2021

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