Evidence map›Paper›PMID 34143191›Full record

ArticleJAMA network open2021

Trends in Incidence and Transmission Patterns of COVID-19 in Valencia, Spain.

Carolina Romero García, Adina Iftimi, Álvaro Briz-Redón, Massimiliano Zanin, Maria Otero, Mayte Ballester, José de Andrés, Giovanni Landoni, Dolores de Las Marinas, Juan Carlos Catalá Bauset and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04581096 (Evaluation of the Response of COVID-19 Spread With a Spatiotemporal Analysis in a Tertiary Hospital), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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.

NCT04581096 completednot on this map

Evaluation of the Response of COVID-19 Spread With a Spatiotemporal Analysis in a Tertiary Hospital

Typeobservational_patient_registrySponsorHospital General Universitario de ValenciaRan2020 to 2021Enrolled2,646ConditionsCovid19, Spatial Visualization, Neural Network, Respiratory DiseaseArmsno intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  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

15 authors at 6 institutions in 2 countries.

Carolina Romero GarcíaDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Adina IftimiDepartment of Statistics and Operations Research, University of Valencia, Valencia, Spain.
Álvaro Briz-RedónStatistics Office, City Council of Valencia, Valencia, Spain.
Massimiliano ZaninInstituto de Física Interdisciplinar y Sistemas Complejos (CSIC-UIB), Palma de Mallorca, Spain.
Maria OteroDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Mayte BallesterDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
José de AndrésDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Giovanni LandoniDepartment of Anesthesia and Intensive Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), San Raffaele Scientific Institute, Milan, Italy.
Dolores de Las MarinasDivision of Allergy and Immunology, University General Hospital, Valencia, Spain.
Juan Carlos Catalá BausetDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Jesus MandingorraDepartment of Information Technology, University General Hospital, Universidad Católica de Valencia, Valencia, Spain.
José ConcaDepartment of Information Technology, University General Hospital, Universidad Católica de Valencia, Valencia, Spain.
Juan CorrecherDepartment of Statistics and Operations Research, University of Valencia, Valencia, Spain.
Carolina FerrerDepartment of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain.
Manuel LozanoPreventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de Valencia, Valencia, Spain.
Hospital General Universitario De Valencia · ESUniversitat de València · ESValencia Catholic University Saint Vincent Martyr · ESFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESInstitute for Cross-Disciplinary Physics and Complex Systems · ESIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Limited information on the transmission and dynamics of SARS-CoV-2 at the city scale is available. Objective: To describe the local spread of SARS-CoV-2 in Valencia, Spain. Design, Setting, and Participants: This single-center epidemiological cohort study of patients with SARS-CoV-2 was performed at University General Hospital in Valencia (population in the hospital catchment area, 364 000), a tertiary hospital. The study included all consecutive patients with COVID-19 isolated at home from the start of the COVID-19 pandemic on February 19 until August 31, 2020. Exposures: Cases of SARS-CoV-2 infection confirmed by the presence of IgM antibodies or a positive polymerase chain reaction test result on a nasopharyngeal swab were included. Cases in which patients with negative laboratory results met diagnostic and clinical criteria were also included. Main Outcomes and Measures: The primary outcome was the characterization of dissemination patterns and connections among the 20 neighborhoods of Valencia during the outbreak. To recreate the transmission network, the inbound and outbound connections were studied for each region, and the relative risk of infection was estimated. Results: In total, 2646 patients were included in the analysis. The mean (SD) age was 45.3 (22.5) years; 1203 (46%) were male and 1442 (54%) were female (data were missing for 1); and the overall mortality was 3.7%. The incidence of SARS-CoV-2 cases was higher in neighborhoods with higher household income (β2 [for mean income per household] = 0.197; 95% CI, 0.057-0.351) and greater population density (β1 [inhabitants per km2] = 0.228; 95% CI, 0.085-0.387). Correlations with meteorological variables were not statistically significant. Neighborhood 3, where the hospital and testing facility were located, had the most outbound connections (14). A large residential complex close to the city (neighborhood 20) had the fewest connections (0 outbound and 2 inbound). Five geographically unconnected neighborhoods were of strategic importance in disrupting the transmission network. Conclusions and Relevance: This study of local dissemination of SARS-COV-2 revealed nonevident transmission patterns between geographically unconnected areas. The results suggest that tailor-made containment measures could reduce transmission and that hospitals, including testing facilities, play a crucial role in disease transmission. Consequently, the local dynamics of SARS-CoV-2 spread might inform the strategic lockdown of specific neighborhoods to stop the contagion and avoid a citywide lockdown.

Indexed as

AdultAgedAged, 80 and overCatchment Area, HealthCohort StudiesCOVID-19Disease OutbreaksDisease Transmission, InfectiousFemaleGeographyHumansIncidenceMaleMiddle AgedResidence CharacteristicsRisk Factors

Identifiers

PMID34143191
PMCPMC8214162
OpenAlexW3167374515

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.