Evidence map›Paper›PMID 34115753›Full record

ArticlePLoS neglected tropical diseases2021

Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis.

Juan Manuel Gurevitz, Julián Gustavo Antman, Karina Laneri, Juan Manuel Morales

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Dengue Outbreaks and Antibody Seroprevalence in Buenos Aires.The American journal of tropical medicine and hygiene · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  12. Frontiers in public health · 2022
    Article
  13. Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.International journal of environmental research and public health · 2021
    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

4 authors.

Juan Manuel GurevitzGrupo de Ecología Cuantitativa, INIBIOMA-CONICET, Universidad Nacional del Comahue, S.C. de Bariloche, Río Negro, Argentina.ORCID 0000-0002-5611-8927
Julián Gustavo AntmanGerencia Operativa de Epidemiología, Ministerio de Salud de la Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0002-1686-2890
Karina LaneriGrupo de Física Estadística e Interdisciplinaria, CONICET, Centro Atómico Bariloche-CNEA, S.C. de Bariloche, Río Negro, Argentina.ORCID 0000-0001-8536-4695
Juan Manuel MoralesGrupo de Ecología Cuantitativa, INIBIOMA-CONICET, Universidad Nacional del Comahue, S.C. de Bariloche, Río Negro, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is steadily increasing worldwide and expanding into higher latitudes. Current non-endemic areas are prone to become endemic soon. To improve understanding of dengue transmission in these settings, we assessed the spatiotemporal dynamics of the hitherto largest outbreak in the non-endemic metropolis of Buenos Aires, Argentina, based on detailed information on the 5,104 georeferenced cases registered during summer-autumn of 2016. The highly seasonal dengue transmission in Buenos Aires was modulated by temperature and triggered by imported cases coming from regions with ongoing outbreaks. However, local transmission was made possible and consolidated heterogeneously in the city due to housing and socioeconomic characteristics of the population, with 32.8% of autochthonous cases occurring in slums, which held only 6.4% of the city population. A hierarchical spatiotemporal model accounting for imperfect detection of cases showed that, outside slums, less-affluent neighborhoods of houses (vs. apartments) favored transmission. Global and local spatiotemporal point-pattern analyses demonstrated that most transmission occurred at or close to home. Additionally, based on these results, a point-pattern analysis was assessed for early identification of transmission foci during the outbreak while accounting for population spatial distribution. Altogether, our results reveal how social, physical, and biological processes shape dengue transmission in Buenos Aires and, likely, other non-endemic cities, and suggest multiple opportunities for control interventions.

Indexed as

AnimalsArgentinaCitiesDengueDisease OutbreaksHousingHumansPoverty AreasSeasonsTemperatureTravel

Identifiers

PMID34115753
PMCPMC8221794

What OpenQuestion holds

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LicenceCC BY
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.