Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.31053/1853.0605.v77.n2.28784 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.
Sci Rep
December 2024
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, 600127, Chennai, India.
In the current scenario, decision-making models are essential for analyzing real-world problems. To address the dynamic nature of these problems, fuzzy decision-making models have been proposed by various researchers. However, an advanced technique is needed to assess uncertainty in real-time complex situations.
View Article and Find Full Text PDFImpact of COVID-19 Vaccination in Thailand: Averted Deaths and Severe Infections Across Age Groups.
Trop Med Infect Dis
November 2024
Biophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.
The COVID-19 pandemic has underscored the pivotal role of vaccines in mitigating the devastating impact of the virus. In Thailand, the vaccination campaign against SARS-CoV-2 began on 28 February 2021, initially prioritizing healthcare professionals before expanding into a nationwide effort on 7 June 2021. This study employs a mathematical model of COVID-19 transmission with vaccination to analyze the impact of Thailand's COVID-19 vaccination program from 1 March 2021 to 31 December 2022.
View Article and Find Full Text PDFImpact of the COVID-19 Pandemic on the Detection of Leprosy in Micro-Regions with a High Risk of Illness in Minas Gerais, Brazil.
Infect Dis Rep
November 2024
Department of Maternal and Child Nursing and Public Health, School of Nursing, Federal University of Minas Gerais, Belo Horizonte 30130-100, Minas Gerais, Brazil.
Background: Leprosy control remains challenging in Brazil and has been aggravated by the COVID-19 pandemic.
Objective: To analyze the impact of the COVID-19 pandemic on the epidemiological scenario of leprosy through the detection rate of new cases, the risk of illness, and the hidden prevalence of leprosy according to high-risk micro-region in Minas Gerais, Brazil.
Methods: An ecological study conducted in the health micro-regions of Minas Gerais, using data on new leprosy cases diagnosed between 2015 and 2023.
Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning.
PLOS Digit Health
December 2024
School of Public Health, University of São Paulo, São Paulo, Brazil.
Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.
View Article and Find Full Text PDFBackground: Prior to COVID-19, little was known about how risks associated with such a pandemic would compete with and influence patient decision making regarding cancer risk reducing medical decision making. We investigated how the pandemic affected preferences for medical risk-reducing strategies among women at elevated risk of breast or ovarian cancer.
Methods: We conducted a discrete choice experiment.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!