Evidence map›Paper›PMID 33362296›Full record

ArticleJournal of regional science2021

The geography of COVID-19 and the structure of local economies: The case of Italy.

Andrea Ascani, Alessandra Faggian, Sandro Montresor

Abstract read
In one paragraph

Article in Journal of regional science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. The trade-off between health system resiliency and efficiency: evidence from COVID-19 in European regions.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Assessment of Excess Mortality in Italy in 2020-2021 as a Function of Selected Macro-Factors.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Local inequalities of the COVID-19 crisis.Regional science and urban economics · 2022
    Article
  18. Article
  19. Article
  20. When did coronavirus arrive in Europe?Statistical methods & applications · 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.

Andrea AscaniSocial Sciences Gran Sasso Science Institute L'Aquila Italy.ORCID 0000-0003-4738-3144
Alessandra FaggianSocial Sciences Gran Sasso Science Institute L'Aquila Italy.ORCID https://orcid.org/0000-0002-2479-2933
Sandro MontresorSocial Sciences Gran Sasso Science Institute L'Aquila Italy.ORCID https://orcid.org/0000-0002-1195-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this article is to analyze the subnational spread of COVID-19 in Italy using an economic geography perspective. The striking spatial unevenness of COVID-19 suggests that the infection has hit economic core locations harder, and this raises questions about whether, and how, the subnational geography of the disease is connected to the economic base of localities. We provide some first evidence consistent with the possibility that the local specialization in geographically concentrated economic activities acts as a vehicle of disease transmission. This could generate a core-periphery pattern in the spatiality of COVID-19, which might follow the lines of the local economic landscape and the tradability of its outputs.

Indexed as

COVID‐19geographical concentrationlocal economic structuretradability

Identifiers

PMID33362296
PMCPMC7753650

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.