Evidence map›Paper›PMID 37151598›Full record

ArticleFrontiers in public health2023

Geographic heterogeneity of the epidemiological impact of the COVID-19 pandemic in Italy using a socioeconomic proxy-based classification of the national territory.

Alessio Petrelli, Martina Ventura, Anteo Di Napoli, Alberto Mateo-Urdiales, Patrizio Pezzotti, Massimo Fabiani

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Alessio PetrelliEpidemiology Unit, National Institute for Health, Migration and Poverty (INMP), Rome, Italy.
Martina VenturaEpidemiology Unit, National Institute for Health, Migration and Poverty (INMP), Rome, Italy.
Anteo Di NapoliEpidemiology Unit, National Institute for Health, Migration and Poverty (INMP), Rome, Italy.
Alberto Mateo-UrdialesUnit of Epidemiology, Biostatistics and Mathematical Modelling, Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Patrizio PezzottiUnit of Epidemiology, Biostatistics and Mathematical Modelling, Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Massimo FabianiUnit of Epidemiology, Biostatistics and Mathematical Modelling, Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to evaluate the differences in incidence, non-intensive care unit (non-ICU) and intensive care unit (ICU) hospital admissions, and COVID-19-related mortality between the "inner areas" of Italy and its metropolitan areas. Study design: Retrospective population-based study conducted from the beginning of the pandemic in Italy (20 February 2020) to 31 March 2022. Methods: The municipalities of Italy were classified into metropolitan areas, peri-urban/intermediate areas and "inner areas" (peripheral/ultra-peripheral). The exposure variable was residence in an "inner area" of Italy. Incidence of diagnosis of SARS-CoV-2 infection, non-ICU and ICU hospital admissions and death within 30 days from diagnosis were the outcomes of the study. COVID-19 vaccination access was also evaluated. Crude and age-standardized rates were calculated for all the study outcomes. The association between the type of area of residence and each outcome under study was evaluated by calculating the ratios between the standardized rates. All the analyses were stratified by period of observation (original Wuhan strain, Alpha variant, Delta variant, Omicron variant). Results: Incidence and non-ICUs admissions rates were lower in "inner areas." ICU admission and mortality rates were much lower in "inner areas" in the early phases of the pandemic, but this protection progressively diminished, with a slight excess risk observed in the "inner areas" during the Omicron period. The greater vaccination coverage in metropolitan areas may explain this trend. Conclusion: Prioritizing healthcare planning through the strengthening of the primary prevention policies in the peripheral areas of Italy is fundamental to guarantee health equity policies.

Indexed as

COVID-19COVID-19 VaccinesHumansPandemicsRetrospective StudiesSARS-CoV-2Socioeconomic FactorsCOVID-19 VaccinesCOVID-19geographic inequalitiesmetropolitanruralsocial vulnerabilities

Identifiers

PMID37151598
PMCPMC10160611

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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.