Next Article in Journal
Clinical Characteristics Associated with Detected Respiratory Microorganism Employing Multiplex Nested PCR in Patients with Presumptive COVID-19 but Negative Molecular Results in Lima, Peru
Previous Article in Journal
Clinical Features Related to Severity and Mortality among COVID-19 Patients in a Pre-Vaccine Period in Luanda, Angola
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Srisuphanunt et al. Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand. Trop. Med. Infect. Dis. 2022, 7, 162

by
Mayuna Srisuphanunt
1,2,3,*,
Palakorn Puttaruk
4,*,
Nateelak Kooltheat
1,3,
Gerd Katzenmeier
5 and
Polrat Wilairatana
6,*
1
Department of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand
2
Excellent Center for Dengue and Community Public Health, School of Public Health, Walailak University, Nakhon Si Thammarat 80160, Thailand
3
Hematology and Transfusion Science Research Center, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand
4
Department of Medical Technology Laboratory, Thammasat University Hospital, Thammasat University, Rangsit Centre, Pathum Thani 12120, Thailand
5
Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand
6
Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
*
Authors to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2022, 7(11), 339; https://doi.org/10.3390/tropicalmed7110339
Submission received: 19 October 2022 / Accepted: 19 October 2022 / Published: 31 October 2022
(This article belongs to the Section Vector-Borne Diseases)
In the original publication [1], the funder, the New Strategic Research Project (P2P), Walailak University, Thailand, CGS-P2P-2565-069 for Mayuna Srisuphanunt was not included. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Funding

This research was funded by the New Strategic Research Project (P2P), Walailak University, Thailand, grant number CGS-P2P-2565-069.

Reference

  1. Srisuphanunt, M.; Puttaruk, P.; Kooltheat, N.; Katzenmeier, G.; Wilairatana, P. Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand. Trop. Med. Infect. Dis. 2022, 7, 162. [Google Scholar] [CrossRef] [PubMed]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Srisuphanunt, M.; Puttaruk, P.; Kooltheat, N.; Katzenmeier, G.; Wilairatana, P. Correction: Srisuphanunt et al. Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand. Trop. Med. Infect. Dis. 2022, 7, 162. Trop. Med. Infect. Dis. 2022, 7, 339. https://doi.org/10.3390/tropicalmed7110339

AMA Style

Srisuphanunt M, Puttaruk P, Kooltheat N, Katzenmeier G, Wilairatana P. Correction: Srisuphanunt et al. Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand. Trop. Med. Infect. Dis. 2022, 7, 162. Tropical Medicine and Infectious Disease. 2022; 7(11):339. https://doi.org/10.3390/tropicalmed7110339

Chicago/Turabian Style

Srisuphanunt, Mayuna, Palakorn Puttaruk, Nateelak Kooltheat, Gerd Katzenmeier, and Polrat Wilairatana. 2022. "Correction: Srisuphanunt et al. Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand. Trop. Med. Infect. Dis. 2022, 7, 162" Tropical Medicine and Infectious Disease 7, no. 11: 339. https://doi.org/10.3390/tropicalmed7110339

Article Metrics

Back to TopTop