Evidence map›Paper›PMID 32762750›Full record

ArticleBMC medicine2020

Spatial modes for transmission of chikungunya virus during a large chikungunya outbreak in Italy: a modeling analysis.

Giorgio Guzzetta, Francesco Vairo, Alessia Mammone, Simone Lanini, Piero Poletti, Mattia Manica, Roberto Rosa, Beniamino Caputo, Angelo Solimini, Alessandra Della Torre and 4 more

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Autochthonous transmission patterns of dengue virus serotype 2 in Italy: evidence from outbreaks in 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
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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

14 authors.

Giorgio GuzzettaCenter for Information Technology, Fondazione Bruno Kessler, Trento, Italy.
Francesco VairoNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy. francesco.vairo@inmi.it.
Alessia MammoneNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Simone LaniniNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Piero PolettiCenter for Information Technology, Fondazione Bruno Kessler, Trento, Italy.
Mattia ManicaCentro Agricoltura Alimenti e Ambiente, Università di Trento, San Michele all'Adige, TN, Italy.
Roberto RosaCentro Agricoltura Alimenti e Ambiente, Università di Trento, San Michele all'Adige, TN, Italy.
Beniamino CaputoDipartimento di Sanitá Pubblica e Malattie Infettive, Sapienza University of Rome, Rome, Italy.
Angelo SoliminiDipartimento di Sanitá Pubblica e Malattie Infettive, Sapienza University of Rome, Rome, Italy.
Alessandra Della TorreDipartimento di Sanitá Pubblica e Malattie Infettive, Sapienza University of Rome, Rome, Italy.
Paola ScognamiglioNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Alimuddin ZumlaDivision of Infection and Immunity, Center for Clinical Microbiology, University College London, London, UK.
Giuseppe IppolitoNational Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
Stefano MerlerCenter for Information Technology, Fondazione Bruno Kessler, Trento, Italy.

Funding

Ministry of Health Ricerca Corrente Linea 1
6 · The paper itself

Abstract

backgroundThe spatial spread of many mosquito-borne diseases occurs by focal spread at the scale of a few hundred meters and over longer distances due to human mobility. The relative contributions of different spatial scales for transmission of chikungunya virus require definition to improve outbreak vector control recommendations.

methodsWe analyzed data from a large chikungunya outbreak mediated by the mosquito Aedes albopictus in the Lazio region, Italy, consisting of 414 reported human cases between June and November 2017. Using dates of symptom onset, geographic coordinates of residence, and information from epidemiological questionnaires, we reconstructed transmission chains related to that outbreak.

resultsFocal spread (within 1 km) accounted for 54.9% of all cases, 15.8% were transmitted at a local scale (1-15 km) and the remaining 29.3% were exported from the main areas of chikungunya circulation in Lazio to longer distances such as Rome and other geographical areas. Seventy percent of focal infections (corresponding to 38% of the total 414 cases) were transmitted within a distance of 200 m (the buffer distance adopted by the national guidelines for insecticide spraying). Two main epidemic clusters were identified, with a radius expanding at a rate of 300-600 m per month. The majority of exported cases resulted in either sporadic or no further transmission in the region.

conclusionsEvidence suggest that human mobility contributes to seeding a relevant number of secondary cases and new foci of transmission over several kilometers. Reactive vector control based on current guidelines might allow a significant number of secondary clusters in untreated areas, especially if the outbreak is not detected early. Existing policies and guidelines for control during outbreaks should recommend the prioritization of preventive measures in neighboring territories with known mobility flows to the main areas of transmission.

Indexed as

AedesAnimalsChikungunya FeverChikungunya virusHumansItalySpatio-Temporal AnalysisChikungunyaSpatiotemporal spreadTransmission chainTransmission distance

Identifiers

PMID32762750
PMCPMC7412829

What OpenQuestion holds

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LicenceCC BY
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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.