Evidence map›Paper›PMID 37308607›Full record

ReviewEnvironmental monitoring and assessment2023

Ecosystem degradation and the spread of Covid-19.

Chiara Castelli, Marta Castellini, Nicola Comincioli, Maria Laura Parisi, Nicola Pontarollo, Sergio Vergalli

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Environmental monitoring and assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Chiara CastelliThe Vienna Institute for International Economic Studies, Vienna, Austria.
Marta CastelliniDepartment of Economics and Management "Marco Fanno", University of Padua, Padua, Italy.
Nicola ComincioliFondazione Eni Enrico Mattei, Milan, Italy.
Maria Laura ParisiDepartment of Economics and Management, University of Brescia, Brescia, Italy.
Nicola PontarolloDepartment of Economics and Management, University of Brescia, Brescia, Italy. nicola.pontarollo@unibs.it.
Sergio VergalliFondazione Eni Enrico Mattei, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The linkages between the emergence of zoonotic diseases and ecosystem degradation have been widely acknowledged by the scientific community and policy makers. In this paper we investigate the relationship between human overexploitation of natural resources, represented by the Human Appropriation of Net Primary Production Index (HANPP) and the spread of Covid-19 cases during the first pandemic wave in 730 regions of 63 countries worldwide. Using a Bayesian estimation technique, we highlight the significant role of HANPP as a driver of Covid-19 diffusion, besides confirming the well-known impact of population size and the effects of other socio-economic variables. We believe that these findings could be relevant for policy makers in their effort towards a more sustainable intensive agriculture and responsible urbanisation.

Indexed as

COVID-19AgricultureBayes TheoremEcosystemEnvironmental MonitoringHumansBayesian estimationEarly spread of SARS-CoV-2Human appropriation of net primary production (HANPP)Regression analysisSpatial random effectsWorld regions

Identifiers

PMID37308607
PMCPMC10260383

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.