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Dengue virus non-structural protein 1 binding to thrombin as a dengue severity marker: Comprehensive patient analysis in south Taiwan.
J Microbiol Immunol Infect
December 2024
Center of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan; Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan; Department of Pediatrics, National Cheng Kung University Hospital Dou-Liou Branch, College of Medicine, National Cheng Kung University, Yunlin 640, Taiwan. Electronic address:
Background: Previously we identified a complex of non-structural protein (NS) 1 - Thrombin (NST) in dengue infected patients. Here, we investigated how the concentration of NS1 and NST differ in various dengue severity levels as well as their demographic and clinical features. Several comorbid (hypertension, diabetes, and chronic renal failure) often found in dengue patients were also measured and analyzed.
View Article and Find Full Text PDFA randomised survey of the quality of antibiotics and other essential medicines in Indonesia, with volume-adjusted estimates of the prevalence of substandard medicines.
PLOS Glob Public Health
December 2024
Faculty of Pharmacy, Universitas Pancasila, Lenteng Agung, Jakarta Selatan, Indonesia.
The World Health Organization warns that substandard and falsified medicines threaten public health in low- and middle-income countries. However, medicine quality surveys are often small and unrepresentative of the market, and the true scale of the problem remains unknown. We conducted a large field survey of essential medicines in Indonesia, and investigated how weighting survey results by market volume altered estimates of medicine quality.
View Article and Find Full Text PDFForecasting of diarrhea disease using ARIMA model in Kendari City, Southeast Sulawesi Province, Indonesia.
Heliyon
November 2024
Department of Environmental Health, Faculty of Public Health, Halu Oleo University, Indonesia.
Background: In Indonesia, diarrhea is one of the endemic diseases that often leads to death. The high number of diarrhea cases has the potential to become an extraordinary event, thus requiring more serious attention. This research aims to analyze the data on recorded cases of diarrhea in the Health Department of Kendari City from January 2016 to June 2022.
View Article and Find Full Text PDFApplication of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables.
Infect Dis Model
March 2025
Center of Mathematical Modeling and Simulation, Institut Teknologi Bandung, Bandung, 40132, Indonesia.
Despite the implementation of various initiatives, dengue remains a significant public health concern in Malaysia. Given that dengue has no specific treatment, dengue prediction remains a useful early warning mechanism for timely and effective deployment of public health preventative measures. This study aims to develop a comprehensive approach for forecasting dengue cases in Selangor, Malaysia by incorporating climate variables.
View Article and Find Full Text PDFImprovement of the Surveillance Protocols After Experiencing a Pseudo-Epidemic After 2018 Central Sulawesi Earthquake in Indonesia.
Disaster Med Public Health Prep
October 2024
Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Muang, Nonthaburi, 11000, Thailand.
Objective: Following a disaster, a pseudo-epidemic can occur due to redundant and duplicated data caused by infrastructure and information system disruptions. This study aims to investigate whether there have been improvements the post-disaster surveillance system in the comparison of diarrhea incidents between Central Sulawesi, Indonesia, and Cianjur, West Java, Indonesia.
Methods: We conducted an analysis of the epidemic-prone disease diarrhea before and during disasters, comparing the data with secondary data from the Early Warning Alert and Response System (EWARS) and the District Health Information System V.
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