Evidence map›Paper›PMID 35667404›Full record

ArticleEnvironmental research2022

Atmospheric particulate matter effects on SARS-CoV-2 infection and spreading dynamics: A spatio-temporal point process model.

Katiuscia Di Biagio, Marco Baldini, Jacopo Dolcini, Pietro Serafini, Donatella Sarti, Irene Dorillo, Andrea Ranzi, Gaetano Settimo, Silvia Bartolacci, Thomas Valerio Simeoni and 1 more

Abstract read
In one paragraph

Article in Environmental research, 2022. 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

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

11 authors.

Katiuscia Di BiagioEnvironmental Epidemiology Unit - Regional Environmental Protection Agency of Marche, Ancona, Italy. Electronic address: katiuscia.dibiagio@ambiente.marche.it.
Marco BaldiniEnvironmental Epidemiology Unit - Regional Environmental Protection Agency of Marche, Ancona, Italy.
Jacopo DolciniDepartment of Biomedical Sciences and Public Health, Section of Hygiene - Polytechnic University, Ancona, Italy.
Pietro SerafiniMedical Direction Department, Local Health Authority of Marche, Ancona, Italy.
Donatella SartiDepartment of Biomedical Sciences and Public Health, Section of Hygiene - Polytechnic University, Ancona, Italy.
Irene DorilloAir Quality Unit, Regional Environmental Protection Agency of Marche, Ancona, Italy.
Andrea RanziCentre for Environmental Health and Prevention, Regional Agency for Prevention, Environment and Energy of Emilia-Romagna, Modena, Italy.
Gaetano SettimoNational Institute of Health, Rome, Italy.
Silvia BartolacciEnvironmental Epidemiology Unit - Regional Environmental Protection Agency of Marche, Ancona, Italy.
Thomas Valerio SimeoniEnvironmental Epidemiology Unit - Regional Environmental Protection Agency of Marche, Ancona, Italy.
Emilia ProsperoDepartment of Biomedical Sciences and Public Health, Section of Hygiene - Polytechnic University, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particulate matter (PM) may play a role in differential distribution and transmission rates of SARS-CoV-2. For public health surveillance, identification of factors affecting the transmission dynamics concerning the endemic (persistent sporadic) and epidemic (rapidly clustered) component of infection can help to implement intervention strategies to reduce the disease burden. The aim of this study is to assess the effect of long-term residential exposure to outdoor PM ≤ 10 μm (PM

Indexed as

Air PollutionCOVID-19Communicable Disease ControlHumansMalePandemicsParticulate MatterSARS-CoV-2Particulate MatterDeprivationEndemic-epidemicPM(10)SARS-CoV-2Spatio-temporal point processTransmission

Identifiers

PMID35667404
PMCPMC9164771

What OpenQuestion holds

Textmetadata
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Registered trials

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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.