Evidence map›Paper›PMID 29985488›Full record

ArticlePLoS currents2017

Detecting Local Zika Virus Transmission in the Continental United States: A Comparison of Surveillance Strategies.

Steven Russell, Kyle Ryff, Carolyn Gould, Stacey Martin, Michael Johansson

Abstract read
In one paragraph

Article in PLoS currents, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. A Review of the Recent Epidemiology of Zika Virus Infection.The American journal of tropical medicine and hygiene · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Zika Virus: Relevance to the State of Hawai'i.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2019
    Article
  9. 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

5 authors.

Steven RussellDivision of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Kyle RyffDivision of Vector-Borne Diseases, Centers for Diseases Control and Prevention, San Juan, Puerto Rico, United States.
Carolyn GouldDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States.
Stacey MartinDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, United States.
Michael JohanssonDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States; Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Harvard University, Boston, Massachusetts, United States.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

introductionThe 2015-2017 Zika virus (ZIKV) epidemic in the Americas has driven efforts to strengthen surveillance systems and to develop interventions, testing, and travel recommendations. In the continental U.S. and Hawaii, where limited transmission has been observed, detecting local transmission is a key public health objective. We assessed the effectiveness of three general surveillance strategies for this situation: testing all pregnant women twice during pregnancy, testing blood donations, and testing symptomatic people who seek medical care in an emergency department (ED).

methodsWe developed a simulation model for each surveillance strategy and simulated different transmission scenarios with varying population sizes and infection rates. We then calculated the probability of detecting transmission, the number of tests needed, and the number of false positive test results.

resultsThe probability of detecting ZIKV transmission was highest for testing ED patients with Zika symptoms, followed by pregnant women and blood donors, in that order. The magnitude of the difference in probability of detection between strategies depended on the incidence of infection. Testing ED patients required fewer tests and resulted in fewer false positives than surveillance among pregnant women. The optimal strategy identified was to test ED patients with at least two Zika virus disease symptoms. This case definition resulted in a high probability of detection with relatively few tests and false positives. DISCUSSION: In the continental U.S. and Hawaii, where local ZIKV transmission is rare, optimizing the probability of detecting infections while minimizing resource usage is particularly important. Local surveillance strategies will be influenced by existing public health system infrastructure, but should also consider the effectiveness of different approaches. This analysis demonstrated differences across strategies and indicated that testing symptomatic ED patients is generally a more efficient strategy for detecting transmission than routine testing of pregnant women or blood donors.

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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.