ReviewThe Journal of infectious diseases2017
Quantifying Zika: Advancing the Epidemiology of Zika With Quantitative Models.
Review in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Identification and evaluation of epidemic prediction and forecasting reporting guidelines: A systematic review and a call for action.Epidemics · 2020Pooled it
- A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern.PLoS neglected tropical diseases · 2019Pooled it
- Article
- Guillain-Barré Syndrome Following Zika Virus Infection Is Associated With a Diverse Spectrum of Peripheral Nerve Reactive Antibodies.Neurology(R) neuroimmunology & neuroinflammation · 2023Article
- Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA.Emerging infectious diseases · 2021Review
- Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities.Bulletin of mathematical biology · 2021Article
- Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016.PLoS computational biology · 2021Article
- Mapping the cryptic spread of the 2015-2016 global Zika virus epidemic.BMC medicine · 2020Article
- Brazil's Missing Infants: Zika Risk Changes Reproductive Behavior.Demography · 2020Article
- Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015-2016 ZIKV epidemic.BMC medicine · 2018Article
- Zika Virus and Future Research Directions.The Journal of infectious diseases · 2017Review
- Pandemic Zika: A Formidable Challenge to Medicine and Public Health.The Journal of infectious diseases · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
When Zika virus (ZIKV) emerged in the Americas, little was known about its biology, pathogenesis, and transmission potential, and the scope of the epidemic was largely hidden, owing to generally mild infections and no established surveillance systems. Surges in congenital defects and Guillain-Barré syndrome alerted the world to the danger of ZIKV. In the context of limited data, quantitative models were critical in reducing uncertainties and guiding the global ZIKV response. Here, we review some of the models used to assess the risk of ZIKV-associated severe outcomes, the potential speed and size of ZIKV epidemics, and the geographic distribution of ZIKV risk. These models provide important insights and highlight significant unresolved questions related to ZIKV and other emerging pathogens.
Indexed as
Identifiers
What OpenQuestion holds
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.