Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study.

ABSTRACT:

Background

Disease surveillance systems capable of producing accurate real-time and short-term forecasts can help public health officials design timely public health interventions to mitigate the effects of disease outbreaks in affected populations. In France, existing clinic-based disease surveillance systems produce gastroenteritis activity information that lags real time by 1 to 3 weeks. This temporal data gap prevents public health officials from having a timely epidemiological characterization of this disease at any point in time and thus leads to the design of interventions that do not take into consideration the most recent changes in dynamics.

Objective

The goal of this study was to evaluate the feasibility of using internet search query trends and electronic health

SUBMITTER: Poirier C 

PROVIDER: S-EPMC9929730 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature