Evidence map›Paper›PMID 33203683›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks.

Paolo Bosetti, Piero Poletti, Massimo Stella, Bruno Lepri, Stefano Merler, Manlio De Domenico

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Mixing individual and collective behaviors to predict out-of-routine mobility.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  5. Article
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  14. Review
  15. Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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.

Paolo BosettiCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy.ORCID 0000-0001-7078-7118
Piero PolettiCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy; poletti@fbk.eu.ORCID 0000-0001-5453-5199
Massimo StellaCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy.ORCID 0000-0003-1810-9699
Bruno LepriCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy.ORCID 0000-0003-1275-2333
Stefano MerlerCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy.ORCID 0000-0002-5117-0611
Manlio De DomenicoCenter for Information and Communications Technology, Fondazione Bruno Kessler, 38123 Povo (Trento), Italy.ORCID 0000-0001-5158-8594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Political and environmental factors-e.g., regional conflicts and global warming-increase large-scale migrations, posing extraordinary societal challenges to policymakers of destination countries. A common concern is that such a massive arrival of people-often from a country with a disrupted healthcare system-can increase the risk of vaccine-preventable disease outbreaks like measles. We analyze human flows of 3.5 million (M) Syrian refugees in Turkey inferred from massive mobile-phone data to verify this concern. We use multilayer modeling of interdependent social and epidemic dynamics to demonstrate that the risk of disease reemergence in Turkey, the main host country, can be dramatically reduced by 75 to 90% when the mixing of Turkish and Syrian populations is high. Our results suggest that maximizing the dispersal of refugees in the recipient population contributes to impede the spread of sustained measles epidemics, rather than favoring it. Targeted vaccination campaigns and policies enhancing social integration of refugees are the most effective strategies to reduce epidemic risks for all citizens.

Indexed as

Disease OutbreaksDiffusionGeographyHumansMeaslesRisk FactorsTurkeyhuman mobilityinfectious diseasesmultiplex networkspopulation dynamics

Identifiers

PMID33203683
PMCPMC7720222

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.