Evidence map›Paper›PMID 34733604›Full record

ArticleSpatial statistics2022

Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown.

Alessandro Fassò, Paolo Maranzano, Philipp Otto

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Spatial statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Atmospheric Environment Effects of the COVID-19 Pandemic: A Metrological Study.International journal of environmental research and public health · 2022
    Review
  4. A spatiotemporal analysis of NOEnvironmetrics · 2022
    Article
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

3 authors.

Alessandro FassòUniversity of Bergamo, DSE, Via Caniana 2, Bergamo, 24127, BG, Italy.
Paolo MaranzanoUniversity of Bergamo, DSE, Via Caniana 2, Bergamo, 24127, BG, Italy.
Philipp OttoLeibniz University Hannover, Appelstrasse 9a, Hannover, 30167, Lower Saxony, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the first wave of the COVID-19 pandemics in 2020, lockdown policies reduced human mobility in many countries globally. This significantly reduces car traffic-related emissions. In this paper, we consider the impact of the Italian restrictions (lockdown) on the air quality in the Lombardy Region. In particular, we consider public data on concentrations of particulate matters (PM

Indexed as

COVID-19Model selectionMultivariate spatiotemporal modelsNitrogen dioxideParticulate matters

Identifiers

PMID34733604
PMCPMC8553415

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.