Nonlinear time series analysis of state-wise COVID-19 in Malaysia using wavelet and persistent homology DOI Creative Commons
Piau Phang,

Carey Yu-Fan Ling,

Siaw-Hong Liew

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 11, 2024

The nonlinear progression of COVID-19 positive cases, their fluctuations, the correlations in amplitudes and phases across different regions, along with seasonality or periodicity, pose challenges to thoroughly examining data for revealing similarities detecting anomalous trajectories. To address this, we conducted a time series analysis combining wavelet persistent homology detect qualitative properties underlying daily infection numbers at state level from pandemic's onset June 2024 Malaysia. first phase involved investigating evolution confirmed cases by time-frequency domain using wavelets. Subsequently, topological feature-based clustering is performed reconstructing higher-dimensional space through delay embedding method. Our findings reveal prominent 7-day periodicity case mid-2021 end 2022. state-wise are moderately correlated both during Delta Omicron waves. Biweekly averaged significantly enhances detection loops associated these Selangor demonstrates unique trajectories, while Pahang shows highest similarity other states. This methodological framework provides more detailed understanding epidemiological data, offering valuable insights preparing future public health crises.

Language: Английский

Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe DOI Open Access
Gerry A. Quinn, Michael Connolly, Norman Fenton

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(2), P. 334 - 334

Published: Jan. 6, 2024

Most government efforts to control the COVID-19 pandemic revolved around non-pharmaceutical interventions (NPIs) and vaccination. However, many respiratory diseases show distinctive seasonal trends. In this manuscript, we examined contribution of these three factors progression pandemic.

Language: Английский

Citations

7
Optimal Timing of Vaccination: A Narrative Review of Integrating Strategies for COVID-19, Influenza, and Respiratory Syncytial Virus DOI Creative Commons
Paolo Bonanni, Jung Yeon Heo, Hitoshi Honda

et al.

Infectious Diseases and Therapy, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Lower respiratory tract infections caused by SARS-CoV-2, influenza, and syncytial virus (RSV) cause a significant disease burden globally, despite the availability of effective vaccines. Certain populations, such as older adults (≥ 60 years) individuals all ages with particular comorbidities, are at increased risk for severe outcomes, including hospitalization death. National administration schedules available vaccines against viruses not unified, current guidelines clear directive, concerning optimal timing vaccination. Herein, we formulate an evidence-based position regarding COVID-19, RSV vaccination chronic based on synthesis literature guidelines. Vaccination impact were found to be influenced vaccinee factors, age waning vaccine effectiveness seasonal pathogen burden. Because display unique patterns within between regions, local epidemiological surveillance each is crucial determining To maximize benefits these vaccines, peak period greatest outcomes should aligned. Thus, other recommended given ahead start season (or regionally appropriate time) co-administered single, routine visit represent approach protecting at-risk populations. More data will required establish clinical benefit additional doses whether may integrated schedule. Coordinated policy decisions that align strain selection new annually reformulated would enable timely raising public health awareness, ultimately leading enhanced uptake. Implementation strategies require engagement healthcare providers strong, recommendations schedules.

Language: Английский

Citations

0
Proportions and Seasonal Patterns of Respiratory Viruses via Rapid Tests in Adults at a Greek Hospital (Oct. 2023–Mar. 2024) DOI Open Access
Eleni Rousogianni, Garyfallia Perlepe, Stylianos Boutlas

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(8), P. 824 - 824

Published: Aug. 3, 2024

Background: Respiratory infections pose a major public health threat. The predominant viruses causing viral respiratory are influenza A and B (Flu-A, Flu-B), coronaviruses, syncytial virus (RSV), adenovirus. This study aims to investigate the proportion of these cases via rapid antigen tests assess seasonal patterns. Methods: Clinical samples were collected from symptomatic adults presenting Emergency Medicine Departments University Hospital Larissa (UHL), Greece 16 October 2023 31 March 2024. Nasal specimens antigen-tested for Flu-A/B, SARS-CoV-2, RSV, Results: total sample was 1434, which 739 (51.5%) female 695 male (48.5%). mean age participants 57 ± 5.5 years. Among positive results, we recorded 40.18% 11.40% B, respectively, followed by 35.79% 10.70% 1.93% Conclusions: In Greece, surveillance systems in infection control underutilized. Rapid multiple antigens can quickly identify infections, making them valuable tool with financial benefits systems. Early detection helps allocate resources efficiently, ensures adequate staff facilities available, improves patient care through refined clinical management.

Language: Английский

Citations

2
COVID-19 Vaccination Strategies in the Endemic Period: Lessons from Influenza DOI Creative Commons
Eliel Nham, Ji Yun Noh,

Ok Hyun Park

et al.

Vaccines, Journal Year: 2024, Volume and Issue: 12(5), P. 514 - 514

Published: May 9, 2024

Coronavirus disease 2019 (COVID-19) is a highly contagious zoonotic respiratory with many similarities to influenza. Effective vaccines are available for both; however, rapid viral evolution and waning immunity make them virtually impossible eradicate vaccines. Thus, the practical goal of vaccination reduce incidence serious illnesses death. Three years after introduction COVID-19 vaccines, optimal strategy in endemic period remains elusive, health authorities worldwide have begun adopt various approaches. Herein, we propose based on data until early 2024 discuss aspects that require further clarification better decision making. Drawing from comparisons between influenza strategies, our proposed prioritizes high-risk groups, emphasizes seasonal administration aligned campaigns, advocates co-administration increase coverage.

Language: Английский

Citations

1
As air relative humidity increases, infectivity of SARS-CoV-2 decreases within water droplets DOI Creative Commons
Yu Liu,

Lei Cao,

Yu Xia

et al.

QRB Discovery, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Water droplets containing the SARS-CoV-2 virus, responsible for coronavirus 2019 transmission, were introduced into a controlled-temperature and -humidity chamber. The virus with green fluorescent protein tag in was used to infect Caco-2 cells, viability assessed through flow cytometry microscopic counting. Whereas temperature fluctuations within typical indoor ranges (20°C-30°C) had minimal impact, we observed notable decrease infection rate as surrounding air's relative humidity increased. By investigating levels between 20% 70%, identified threshold of ≥40% most effective diminishing infectivity. We also found that damage viral proteins under high may be their activity. This outcome supports previous research demonstrating rise concentration reactive oxygen species water elevated humidity.

Language: Английский

Citations

0
Nonlinear time series analysis of state-wise COVID-19 in Malaysia using wavelet and persistent homology DOI Creative Commons
Piau Phang,

Carey Yu-Fan Ling,

Siaw-Hong Liew

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 11, 2024

The nonlinear progression of COVID-19 positive cases, their fluctuations, the correlations in amplitudes and phases across different regions, along with seasonality or periodicity, pose challenges to thoroughly examining data for revealing similarities detecting anomalous trajectories. To address this, we conducted a time series analysis combining wavelet persistent homology detect qualitative properties underlying daily infection numbers at state level from pandemic's onset June 2024 Malaysia. first phase involved investigating evolution confirmed cases by time-frequency domain using wavelets. Subsequently, topological feature-based clustering is performed reconstructing higher-dimensional space through delay embedding method. Our findings reveal prominent 7-day periodicity case mid-2021 end 2022. state-wise are moderately correlated both during Delta Omicron waves. Biweekly averaged significantly enhances detection loops associated these Selangor demonstrates unique trajectories, while Pahang shows highest similarity other states. This methodological framework provides more detailed understanding epidemiological data, offering valuable insights preparing future public health crises.

Language: Английский

Citations

0