Evidence map›Paper›PMID 37398062›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Geospatially-resolved public-health surveillance via wastewater sequencing.

Braden T Tierney, Jonathan Foox, Krista A Ryon, Daniel Butler, Namita Damle, Benjamin G Young, Christopher Mozsary, Kristina M Babler, Xue Yin, Yamina Carattini and 25 more

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

5 · Who and what money

Authors and funding

35 authors at 4 institutions in 1 country.

Braden T Tierney
Jonathan Foox
Krista A Ryon
Daniel Butler
Namita Damle
Benjamin G Young
Christopher Mozsary
Kristina M Babler
Xue Yin
Yamina Carattini
David Andrews
Natasha Schaefer Solle
Naresh Kumar
Bhavarth Shukla
Dusica Vidovic
Benjamin Currall
Sion L Williams
Stephan C Schürer
Mario Stevenson
Ayaaz Amirali
Cynthia C Beaver
Erin Kobetz
Melinda M Boone
Brian Reding
Jennifer Laine
Samuel Comerford
Walter E Lamar
John J Tallon
Jeremy Wain Hirschberg
Jacqueline Proszynski
Mark E Sharkey
George M Church
George S Grills
Helena M Solo-Gabriele
Christopher E MasonORCID 0000-0002-1850-1642
University of Miami · USCornell University · USHarvard University · USUniversity of Miami Health System · 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
Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
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
NCATS NIH HHS UL1 TR002736NIAID NIH HHS P30 AI073961NIDA NIH HHS U01 DA053941
6 · The paper itself

Abstract

Wastewater, which contains everything from pathogens to pollutants, is a geospatially-and temporally-linked microbial fingerprint of a given population. As a result, it can be leveraged for monitoring multiple dimensions of public health across locales and time. Here, we integrate targeted and bulk RNA sequencing (n=1,419 samples) to track the viral, bacterial, and functional content over geospatially distinct areas within Miami Dade County from 2020-2022. First, we used targeted amplicon sequencing (n=966) to track diverse SARS-CoV-2 variants across space and time, and we found a tight correspondence with clinical caseloads from University students (N = 1,503) and Miami-Dade County hospital patients (N = 3,939 patients), as well as an 8-day earlier detection of the Delta variant in wastewater vs. in patients. Additionally, in 453 metatranscriptomic samples, we demonstrate that different wastewater sampling locations have clinically and public-health-relevant microbiota that vary as a function of the size of the human population they represent. Through assembly, alignment-based, and phylogenetic approaches, we also detect multiple clinically important viruses (e.g.,

Identifiers

PMID37398062
PMCPMC10312847
OpenAlexW4378976522

What OpenQuestion holds

Textmetadata
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.