Evidence map›Paper›PMID 35772295›Full record

ArticleEpidemics2022

Investigating the relationship between interventions, contact patterns, and SARS-CoV-2 transmissibility.

Filippo Trentini, Adriana Manna, Nicoletta Balbo, Valentina Marziano, Giorgio Guzzetta, Samantha O'Dell, Allisandra G Kummer, Maria Litvinova, Stefano Merler, Marco Ajelli and 2 more

Abstract read
In one paragraph

Article in Epidemics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  3. Article
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  7. Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
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  11. Contact behaviour before, during and after the COVID-19 pandemic in the Netherlands: evidence from contact surveys, 2016 to 2017 and 2020 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  12. Article
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  15. COVID-19 Pandemic Risk Assessment: Systematic Review.Risk management and healthcare policy · 2024
    Review
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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

12 authors.

Filippo TrentiniDondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Covid Crisis Lab, Bocconi University, Italy; Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy. Electronic address: filippo.trentini@unibocconi.it.
Adriana MannaDondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Department of Network and Data Science, Central European University, Wien, Austria.
Nicoletta BalboDondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Department of Social and Political Sciences, Bocconi University, Milan, Italy.
Valentina MarzianoCenter for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.
Giorgio GuzzettaCenter for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.
Samantha O'DellLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Allisandra G KummerLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Maria LitvinovaLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Stefano MerlerCenter for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.
Marco AjelliLaboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Piero PolettiCenter for Health Emergencies, Bruno Kessler Foundation, Trento, Italy.
Alessia MelegaroDondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy; Covid Crisis Lab, Bocconi University, Italy; Department of Social and Political Sciences, Bocconi University, Milan, Italy. Electronic address: alessia.melegaro@unibocconi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter a rapid upsurge of COVID-19 cases in Italy during the fall of 2020, the government introduced a three-tiered restriction system aimed at increasing physical distancing. The Ministry of Health, after periodic epidemiological risk assessments, assigned a tier to each of the 21 Italian regions and autonomous provinces. It is still unclear to what extent these different sets of measures altered the number of daily interactions and the social mixing patterns. METHODS AND

findingsWe conducted a survey between July 2020 and March 2021 to monitor changes in social contact patterns among individuals in the metropolitan city of Milan, Italy, which was hardly hit by the second wave of the COVID-19 pandemic. The number of daily contacts during periods characterized by different levels of restrictions was analyzed through negative binomial regression models and age-specific contact matrices were estimated under the different tiers of restrictions. By relying on the empirically estimated mixing patterns, we quantified relative changes in SARS-CoV-2 transmission potential associated with the different tiers. As tighter restrictions were implemented during the fall of 2020, a progressive reduction in the mean number of daily contacts recorded by study participants was observed: from 15.9 % under mild restrictions (yellow tier), to 41.8 % under strong restrictions (red tier). Higher restrictions levels were also found to increase the relative contribution of contacts occurring within the household. The SARS-CoV-2 reproduction number was estimated to decrease by 17.1 % (95 %CI: 1.5-30.1), 25.1 % (95 %CI: 13.0-36.0) and 44.7 % (95 %CI: 33.9-53.0) under the yellow, orange, and red tiers, respectively.

conclusionsOur results give an important quantification of the expected contribution of different restriction levels in shaping social contacts and decreasing the transmission potential of SARS-CoV-2. These estimates can find an operational use in anticipating the effect that the implementation of these tiered restriction can have on SARS-CoV-2 reproduction number under an evolving epidemiological situation.

Indexed as

COVID-19SARS-CoV-2Family CharacteristicsHumansPandemicsSurveys and QuestionnairesCOVID-19Human behaviorMixing patternsNon-pharmaceutical interventionsReproduction numberSARS-CoV-2Social contactsTiersTransmissibility

Identifiers

PMID35772295
PMCPMC9212945

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.