Evidence map›Paper›PMID 32228787›Full record

ArticleThe American journal of tropical medicine and hygiene2020

Integrated Arbovirus Surveillance Improves the Detection Onset of Zika Virus in Panama.

Gilberto A Eskildsen, Laura D Kramer, Steven D Zink, Alan P Dupuis, Susan J Wong, Andrea Furuya, Jose R Loaiza

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. COVID-19 pandemic in Panama: lessons of the unique risks and research opportunities for Latin America.Revista panamericana de salud publica = Pan American journal of public health · 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

7 authors.

Gilberto A EskildsenDepartment of Biotechnology, Acharya Nagarjuna University, Guntur, India.
Laura D KramerNew York State Department of Health, The Wadsworth Center, Albany, New York.
Steven D ZinkNew York State Department of Health, The Wadsworth Center, Albany, New York.
Alan P DupuisNew York State Department of Health, The Wadsworth Center, Albany, New York.
Susan J WongNew York State Department of Health, The Wadsworth Center, Albany, New York.
Andrea FuruyaNew York State Department of Health, The Wadsworth Center, Albany, New York.
Jose R LoaizaInstituto de Investigaciones Científicas y Servicios de Alta Tecnología, Panamá, República de Panamá.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We tested 700 serum samples collected throughout Panama from 2015 to 2016 for detecting antibodies and RNA of arboviruses. In convalescent specimens, microsphere immunoassay detected an antibody prevalence of 59.3% for dengue virus (DENV) and 30.3% for Zika virus (ZIKV), which included samples that were collected before the Panamanian surveillance system reported the first case of Zika in the country. For acute sera, the most common arbovirus was DENV with 18 positive samples (6%), followed by four (1.3%) of ZIKV and one (0.6%) of chikungunya virus (CHIKV). Our results indicate a change in the chronology of when ZIKV was first detected in Panama and stress the importance of integrating various approaches to enable improved surveillance of both endemic and emerging arboviruses.

Indexed as

ArbovirusesZika VirusAntibodies, ViralChikungunya virusDengue VirusFluorescent Antibody TechniqueHumansPanamaPopulation SurveillancePrevalenceReal-Time Polymerase Chain ReactionZika Virus InfectionAntibodies, Viral

Identifiers

PMID32228787
PMCPMC7204590

What OpenQuestion holds

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Registered trials

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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.