Article

Improving early epidemiological assessment of emerging <i>Aedes</i> -transmitted epidemics using historical data

2018-04-16

Abstract excerpt

Model-based epidemiological assessment is useful to support decision-making at the beginning of an emerging Aedes -transmitted outbreak. However, early forecasts are generally unreliable as little information is available in the first few incidence data points. Here, we show how past Aedes -transmitted epidemics help improve these predictions. The approach was applied to the 2015-2017 Zika virus epidemics in thr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 218509ed-88cd-5b26-a71f-fbcc7b0b1e7e
DOI: 10.1101/300954

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Improving early epidemiological assessment of emerging <i>Aedes</i> -transmitted epidemics using historical dataDOI 10.1101/300954Read

Fusing an agent-based model of mosquito population dynamics with a statistical reconstruction of spatio-temporal abundance patternsSemantic proximity Read

A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concernSemantic proximity Read

Short-term forecasts of <i>Aedes aegypti</i> relative abundance to enhance mosquito control situational awarenessSemantic proximity Read

Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016Semantic proximity Read

SARIMA Forecasts of Dengue Incidence in Brazil, Mexico, Singapore, Sri Lanka, and Thailand: Model Performance and the Significance of Reporting DelaysSemantic proximity Read

Predicting suitability of regions for Zika outbreaks with zero-inflated models trained using climate dataSemantic proximity Read

<b>P</b><b>erspectives </b><b>o</b><b>n</b><b> </b><b>A</b><b>pplying Artificial Intelligence </b><b>t</b><b>o Model </b><b>Outbreak Risk</b><b>: </b><b>Contextualizing</b><b> the Impact </b><b>o</b><b>f Climate Change </b><b>on Vector-borne Disease</b>Semantic proximity Read

A systematic review of dengue outbreak prediction models: current scenario and future directionsSemantic proximity Read

Predicting Aquatic Development and Mortality Rates of <i>Aedes Aegypti</i>Semantic proximity Read

Multivariate resilience indicators to anticipate vector-borne disease outbreaks: a West Nile virus case-studySemantic proximity Read

Increasing dengue outbreaks in temperate Brazil is linked to <i>Aedes aegypti</i> invasion and infestation level driving widespread virus transmissionSemantic proximity Read

The overlapping global distribution of dengue, chikungunya, Zika and yellow feverSemantic proximity Read