Evidence map›Paper›PMID 33140065›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Longitudinal monitoring of SARS-CoV-2 RNA on high-touch surfaces in a community setting.

Abigail P Harvey, Erica R Fuhrmeister, Molly Cantrell, Ana K Pitol, Jenna M Swarthout, Julie E Powers, Maya L Nadimpalli, Timothy R Julian, Amy J Pickering

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Abigail P HarveyCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Erica R FuhrmeisterCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Molly CantrellCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Ana K PitolDepartment of Civil and Environmental Engineering, Imperial College London, United Kingdom.
Jenna M SwarthoutCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Julie E PowersCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Maya L NadimpalliCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.
Timothy R JulianEawag, Swiss Federal Institute of Aquatic Science and Technology, Dubendorf CH-8600, Switzerland.
Amy J PickeringCivil and Environmental Engineering, Tufts University, Medford, MA, 02155.

Funding

CTSA Institutional Mentored Career Development Program (KL2)KL2TR002545 · NCATS · TUFTS UNIVERSITY BOSTON · PI FREUND, KAREN · 2018 to 2022
$5.0M
NCATS NIH HHS KL2 TR002545
6 · The paper itself

Abstract

Environmental surveillance of surface contamination is an unexplored tool for understanding transmission of SARS-CoV-2 in community settings. We conducted longitudinal swab sampling of high-touch non-porous surfaces in a Massachusetts town during a COVID-19 outbreak from April to June 2020. Twenty-nine of 348 (8.3 %) surface samples were positive for SARS-CoV-2, including crosswalk buttons, trash can handles, and door handles of essential business entrances (grocery store, liquor store, bank, and gas station). The estimated risk of infection from touching a contaminated surface was low (less than 5 in 10,000), suggesting fomites play a minimal role in SARS-CoV-2 community transmission. The weekly percentage of positive samples (out of n=33 unique surfaces per week) best predicted variation in city-level COVID-19 cases using a 7-day lead time. Environmental surveillance of SARS-CoV-2 RNA on high-touch surfaces could be a useful tool to provide early warning of COVID-19 case trends.

Identifiers

PMID33140065
PMCPMC7605577

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.