Skip to main content
PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2022 Oct 26;16(10):e0010883. doi: 10.1371/journal.pntd.0010883

Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand

Nicholas G Reich, Stephen A Lauer, Krzysztof Sakrejda, Sopon Iamsirithaworn, Soawapak Hinjoy, Paphanij Suangtho, Suthanun Suthachana, Hannah E Clapham, Henrik Salje, Derek A T Cummings, Justin Lessler
PMCID: PMC9604955  PMID: 36288325

Notice of Republication

This article was republished on November 15, 2021, to correct an unintentional coding error that led to pervasive minor inaccuracies in the manuscript. Specifically, in processing and merging multiple real-time data files from the Thai Ministry of Public Health, duplicate case records of dengue were created when a single record should have been in place. This led to over-counting of cases in many periods of time, an error that impacted forecast models and evaluation of the forecasts themselves. Please download this article again to view the correct version.

Reference

  • 1.Reich NG, Lauer SA, Sakrejda K, Iamsirithaworn S, Hinjoy S, Suangtho P, et al. (2016) Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand. PLoS Negl Trop Dis 10(6): e0004761. 10.1371/journal.pntd.0004761 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from PLOS Neglected Tropical Diseases are provided here courtesy of PLOS

RESOURCES