Evidence map›Paper›PMID 30882314›Full record

ArticleEmerging infectious diseases2019

Spatial Dynamics of Chikungunya Virus, Venezuela, 2014.

Erley Lizarazo, Maria Vincenti-Gonzalez, Maria E Grillet, Sarah Bethencourt, Oscar Diaz, Noheliz Ojeda, Haydee Ochoa, Maria Auxiliadora Rangel, Adriana Tami

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Erley Lizarazo
Maria Vincenti-Gonzalez
Maria E Grillet
Sarah Bethencourt
Oscar Diaz
Noheliz Ojeda
Haydee Ochoa
Maria Auxiliadora Rangel
Adriana Tami

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since chikungunya virus emerged in the Caribbean region in late 2013, ≈45 countries have experienced chikungunya outbreaks. We described and quantified the spatial and temporal events after the introduction and propagation of chikungunya into an immunologically naive population from the urban north-central region of Venezuela during 2014. The epidemic curve (n = 810 cases) unraveled within 5 months with a basic reproductive number of 3.7 and a radial spread traveled distance of 9.4 km at a mean velocity of 82.9 m/day. The highest disease diffusion speed occurred during the first 90 days, and space and space-time modeling suggest the epidemic followed a particular geographic pathway with spatiotemporal aggregation. The directionality and heterogeneity of transmission during the first introduction of chikungunya indicated existence of areas of diffusion and elevated risk for disease and highlight the importance of epidemic preparedness. This information will help in managing future threats of new or reemerging arboviruses.

Indexed as

Chikungunya virusChikungunya FeverDisease OutbreaksEpidemicsGeography, MedicalHistory, 21st CenturyHumansPublic Health SurveillanceSpatio-Temporal AnalysisVenezuelaarbovirusbasic reproductive numberChikungunyamosquitoesoutbreakspatiotemporalvector-borne infectionsVenezuelaviruses

Identifiers

PMID30882314
PMCPMC6433008

What OpenQuestion holds

Textmetadata
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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.