Purpose: To estimate the central tendency and dispersion for incubation period of COVID-19 and, in turn, assess the effect of a certain length of quarantine for close contacts in active monitoring.
Methods: Literature related to SARS-CoV-2 and COVID-19 was searched through April 26, 2020. Quality was assessed according to Agency for Healthcare Research and Quality guidelines. Log-normal distribution for the incubation period was assumed to estimate the parameters for each study. Incubation period median and dispersion were estimated, and distribution was simulated.
Results: Fifty-six studies encompassing 4095 cases were included in this meta-analysis. The estimated median incubation period for general transmissions was 5.8 days [95% confidence interval (95% CI): 5.3, 6.2]. Incubation period was significantly longer for asymptomatic transmissions (median: 7.7 days; 95% CI 6.3, 9.4) than for general transmissions (P = 0.0408). Median and dispersion were higher for SARS-CoV-2 incubation compared to other viral respiratory infections. Furthermore, about 12 in 10,000 contacts in active monitoring would develop symptoms after 14 days, or below 1 in 10,000 for asymptomatic transmissions. Meta-regression suggested that each 10-year increase in age resulted in an average 16% increment in length of median incubation (incubation period ratio, 1.16, 95% CI 1.01, 1.32; P = 0.0250).
Conclusion: This study estimated the median and dispersion of the SARS-CoV-2 incubation period more precisely. A 14-day quarantine period is sufficient to trace and identify symptomatic infections.
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http://dx.doi.org/10.1007/s15010-021-01682-x | DOI Listing |
ACS Appl Bio Mater
January 2025
Department of Chemistry and Biotechnology; School of Science, Computing & Engineering Technologies, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia.
Despite their widespread utilization in biomedical applications, these synthetic materials can be susceptible to microbial contamination, potentially compromising their functionality and increasing the risk of infection in patients. In this study, molybdenum (Mo), an essential metal in biological systems, was investigated as a Mo-based cold-sprayed coating on poly(dimethylsiloxane) (PDMS) for its potential use as biocompatible and antimicrobial surfaces for biomedical applications. Various cold-spray parameters were employed in the fabrication of Mo-embedded PDMS surfaces to alter the surface structure of the substrate, Mo loading density, and embedding layer thickness.
View Article and Find Full Text PDFMicrob Pathog
January 2025
Uttarakhand State Council for Science and Technology (UCOST), Vigyan Dham, Jhajra, Dehradun, India 248007.
Nowadays, antimicrobial resistance and foodborne burden are a prevalent global concern for human health and sustainable development. In this context, this study aimed to investigate the effect of Bacopa monnieri (L.) Pennell extract against pathogenic foodborne bacteria (Escherichia coli, Staphylococcus aureus, and Listeria monocytogenes).
View Article and Find Full Text PDFBMC Microbiol
January 2025
Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, Guangdong, China.
Background: Salmonella enterica serovar Typhimurium is one of the most common serovars of Salmonella associated with clinical cases. It not only leads to diarrhea and mortality raised in livestock and poultry farming, but also poses a risk to food safety.
Results: In this study, a lytic bacteriophage named ZK22 was isolated and identified from sewage.
Maternal nutritional status plays a crucial role in embryonic development and has persistent effects on postnatal chicks. Vitamin C (VC) plays an important role in embryonic and postnatal development involved in nutri-epigenetics. The present study was conducted to investigate the effects of feeding (IOF) of VC on embryonic development, egg hatching time, and chick rectal temperature.
View Article and Find Full Text PDFAlzheimers Res Ther
January 2025
Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark.
Background: For clinical implementation of Alzheimer's disease (AD) blood-based biomarkers (BBMs), knowledge of short-term variability, is crucial to ensure safe and correct biomarker interpretation, i.e., to capture changes or treatment effects that lie beyond that of expected short-term variability and considered clinically relevant.
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