A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern.

ABSTRACT:

Introduction

Epidemic forecasting and prediction tools have the potential to provide actionable information in the midst of emerging epidemics. While numerous predictive studies were published during the 2016-2017 Zika Virus (ZIKV) pandemic, it remains unknown how timely, reproducible, and actionable the information produced by these studies was.

Methods

To improve the functional use of mathematical modeling in support of future infectious disease outbreaks, we conducted a systematic review of all ZIKV prediction studies published during the recent ZIKV pandemic using the PRISMA guidelines. Using MEDLINE, EMBASE, and grey literature review, we identified studies that forecasted, predicted, or simulated ecological or epidemiological phenomena related to the Zika pandemic that

SUBMITTER: Kobres PY 

PROVIDER: S-EPMC6805005 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature