Evidence map›Paper›PMID 37502918›Full record

ArticlemedRxiv : the preprint server for health sciences2023

COVID-19 Case and Mortality Surveillance using Daily SARS-CoV-2 in Wastewater Samples adjusting for Meteorological Conditions and Sample pH.

Samantha Abelson, Johnathon Penso, Bader Alsuliman, Kristina Babler, Mark Sharkey, Mario Stevenson, George Grills, Christopher E Mason, Helena Solo-Gabriele, Naresh Kumar

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Samantha AbelsonDepartment of Public Health, University of Miami Miller School of Medicine, Miami, Florida.
Johnathon PensoDepartment of Public Health, University of Miami Miller School of Medicine, Miami, Florida.
Bader AlsulimanDepartment of Public Health, University of Miami Miller School of Medicine, Miami, Florida.
Kristina BablerDepartment of Chemical, Environmental, and Materials Engineering, College of Engineering, University of Miami, Coral Gables, Florida.
Mark SharkeyDepartment of Medicine, Miller School of Medicine, University of Miami, Miami, FL, US.
Mario StevensonDepartment of Medicine, Miller School of Medicine, University of Miami, Miami, FL, US.
George GrillsDepartment of Medicine, Miller School of Medicine, University of Miami, Miami, FL, US.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, Cornell University.
Helena Solo-GabrieleDepartment of Chemical, Environmental, and Materials Engineering, College of Engineering, University of Miami, Coral Gables, Florida.
Naresh KumarDepartment of Public Health, University of Miami Miller School of Medicine, Miami, Florida.
University of Miami · USCornell University · US

Funding

University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Savita Pahwa · 2007 to 2026
$33.8M
Supplement for MINI point-of-use deviceU01DA053941 · NIDA · UNIVERSITY OF MIAMI CORAL GABLES · PI MASON, CHRISTOPHER EDWARD, SCHURER, STEPHAN C · 2021 to 2022
$5.2M
NIAID NIH HHS P30 AI073961NIDA NIH HHS U01 DA053941
6 · The paper itself

Abstract

Background: Wastewater monitoring is increasingly used for community surveillance of infectious diseases, especially after the COVID-19 pandemic as the genomic footprints of pathogens shed by infected individuals can be traced in the environment. However, detection and concentration of pathogens in the environmental samples and their efficacy in predicting infectious diseases can be influenced by meteorological conditions and quality of samples. Objectives: This research examines whether meteorological conditions and sample pH affect SARS-CoV-2 concentrations in wastewater samples, and whether the association of SARS-CoV-2 with COVID-19 cases and mortality improves when adjusted for meteorological conditions and sample pH value in Miami-Dade County, FL. Methods: Daily wastewater samples were collected from Miami-Dade Wastewater Treatment Plant in Key Biscayne, Florida from August 2021 to August 2022. The samples were analyzed for pH and spiked with OC43. RNA was extracted from the concentrated wastewater sample and SARS-CoV-2 was quantified using qPCR. COVID-19 and mortality data were acquired from the Centers for Disease Control and Prevention (CDC) and meteorological data from the National Climatic Data Center. COVID-19 case and mortality rates were modelled with respect to time-lagged wastewater SARS-CoV-2 adjusting for meteorological conditions, and sample pH value and OC43 recovery. Results: Temperature, dew point, pH values and OC43 recovery showed significant associations with wastewater SARS-CoV-2. Time-lagged wastewater SARS-CoV-2 showed significant associations with COVID-19 case and mortality incidence rates. This association improved when wastewater SARS-CoV-2 levels were adjusted for (or instrumented on) meteorological conditions, OC43 recovery, and sample pH. A 0.47% change in COVID-19 case incidence rate was associated with 1% change in wastewater SARS-CoV-2 (β ~ 0.47; 95% CI = 0.29 - 0.64; p < 0.001). A 0.12 % change in COVID-19 mortality rate was associated with 1 % change in SARS-CoV-2 in wastewater 44 days prior. A 0.07% decline in COVID-19 mortality rate was associated with a unit increase in ambient temperature 28 days prior. Discussion: Time lagged wastewater SARS-CoV-2 (and its adjustment for sample pH and RNA recovery) and meteorological conditions can be used for the surveillance of COVID-19 case and mortality. These findings can be extrapolated to improve the surveillance of other infectious diseases by proactive measurements of infectious agent(s) in the wastewater samples, adjusting for meteorological conditions and sample pH value.

Identifiers

PMID37502918
PMCPMC10370245
OpenAlexW4384023680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.