Risk period for transmission of SARS-CoV-2 and seasonal influenza: a rapid review

Infection Control and Hospital Epidemiology, Год журнала: 2025, Номер unknown, С. 1 - 9

Опубликована: Фев. 24, 2025

Abstract Background: Restricting infectious healthcare workers (HCWs) from the workplace is an important infection prevention strategy. The duration of viral shedding or symptoms are often used as proxies for period in adults but may not accurately estimate it. Objective: To determine risk transmission among previously healthy infected with SARS-CoV-2 omicron variant (omicron) influenza A (influenza) by examining and symptoms, day symptom onset secondary cases pairs. Design: Rapid review Methods: This rapid adhered to PRISMA-ScR; five databases were searched. cumulative daily proportion participants outcome interest was calculated each study summarized. Results: Forty-three studies included. Shedding resolved ≥ 70% end nine post omicron, seven influenza; 90% participants, 10 influenza. Two suggested continues > 24 hours post-fever resolution both viruses. Symptom occurred 80% post-primary case six Conclusions: Omicron consistent previous recommendations exclude HCWs work days; follows a similar trend. Earlier most pathogens indicates that, despite persistent shedding, occurs earlier; serial interval might better approximate infectiousness.

Язык: Английский

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Parametric analysis of the transmission dynamics during indigenous aggregated outbreaks caused by five SARS-CoV-2 strains in Nanjing, China

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Март 8, 2024

Background SARS-CoV-2 strains have been of great concern due to their high infectivity and antibody evasion. Methods In this study, data were collected on indigenous aggregated outbreaks in Nanjing from January 2020 December 2022, caused by five including the original strain, Delta variant, Omicron variant (BA.2, BA.5.2, BF.7). The basic epidemiological characteristics infected individuals described then parametric analysis transmission dynamics was performed, calculation incubation period, serial interval (SI), reproductive number (R 0 ), household secondary attack rate (HSAR). Finally, we compared trends dynamic parameters different strains. Results period for BA.2, BF.7 6 d (95% CI: 3.5–7.5 d), 5 4.0–6.0 3 3.0–4.0 3.0–3.0 2 2.0–3.0 respectively; Also, SI 5.69 d, 4.79 2.7 2.12 2.43 respectively. Notably, had both a progressive shortening trend ( p < 0.001); Moreover, R 2.39 1.30–4.29), 3.73 2.66–5.15), 5.28 3.52–8.10), 5.54 2.69–11.17), 7.39 2.97–18.76), with an increasing gradually 0.01); HSAR 25.5% 20.1–31.7%), 27.4% 22.0–33.4%), 42.9% 34.3–51.8%), 53.1% 45.0–60.9%), 41.4% CI, 25.5–59.3%), also 0.001). Conclusion Compared decreased while increased, suggesting that population faster scope wider. Overall, it’s crucial keep implementing comprehensive measures like monitoring alert systems, herd immunization plans, outbreak control.

Язык: Английский

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Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study

Archives of Public Health, Год журнала: 2024, Номер 82(1)

Опубликована: Окт. 2, 2024

Язык: Английский

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Variability in the serial interval of COVID-19 in South Korea: a comprehensive analysis of age and regional influences

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Март 7, 2024

Quantifying the transmissibility over time, particularly by region and age, using parameters such as serial interval time-varying reproduction number, helps in formulating targeted interventions. Moreover, considering impact of geographical factors on transmission provides valuable insights into effectiveness control measures. Drawing a comprehensive dataset COVID-19 cases South Korea, we analyzed dynamics with focus age regional variations. The dataset, compiled through efforts dedicated epidemiologists, includes information symptom onset dates, enabling detailed investigations. pandemic was divided distinct phases, aligning changes policies, emergence variants, vaccination efforts. We various interventions social distancing, rates, school closures, population density. Key like interval, heatmaps, numbers were used to quantify region-specific trends. Analysis pairs within groups highlighted significant closure policies spread among individuals aged 0-19. This analysis also shed light familial educational settings. Changes confirmed time revealed decrease 65 older, attributed higher rates. Conversely, densely populated metropolitan areas experienced an increase cases. Examination uncovered heterogeneity patterns, regions implementing strict distancing measures showing both increased delayed spread, indicating these policies. Our findings underscore importance evaluating tailoring epidemic based key parameters. measures, vaccine controlling transmission. By quantifying different regions, contribute ongoing combat effectively.

Язык: Английский

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Uncovering COVID-19 Transmission Tree: Identifying Traced and Untraced Infections in an Infection Network

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 3, 2024

ABSTRACT We present a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period January 3, 2020, to July 11, 2021. This network, illustrating infector-infectee relationships, provides invaluable insights for managing and mitigating spread disease. However, significant missing hinder conventional such networks surveillance. To address this challenge, our research suggests novel approach categorizing individuals into four distinct groups, based on classification their infector or infectee status as either traced untraced cases among all confirmed cases. Furthermore, study analyzes changes across five periods. The types emphasize impact various factors, implementation public health strategies emergence variants, which contribute propagation transmission. One key findings is identification notable patterns specific age particularly those aged 20–29, 40–69, 0–9, type classifications. Moreover, we develop real-time indicator assess potential infectious disease more effectively. By analyzing lengths connected components, facilitates improved predictions enables policymakers proactively respond, thereby helping mitigate effects pandemic global communities.

Язык: Английский

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Uncovering COVID-19 transmission tree: identifying traced and untraced infections in an infection network

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Июнь 3, 2024

Introduction This paper presents a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period January 3, 2020, to July 11, 2021. The illustrates infector-infectee relationships and provides invaluable insights for managing mitigating spread disease. However, significant missing hinder conventional such networks surveillance. Methods To address this challenge, article suggests novel approach categorizing individuals into four distinct groups, based on classification their infector or infectee status as either traced untraced cases among all confirmed cases. study analyzes changes across five periods. Results types emphasize impact various factors, implementation public health strategies emergence variants, which contribute propagation transmission. One key findings is identification notable patterns specific age particularly those aged 20-29, 40-69, 0-9, type classifications. Furthermore, we develop real-time indicator assess potential infectious disease more effectively. By analyzing lengths connected components, facilitates improved predictions enables policymakers proactively respond, thereby helping mitigate effects pandemic global communities. Conclusion offers cases, patterns, introduces better assessment management transmission, supporting effective interventions.

Язык: Английский

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Assessing the Long-Term Persistence of SARS-CoV-2 in Guinea: Insights from Post- Epidemic Sentinel Syndromic Surveillance Data

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

Background: In December 2019, the world experienced one of significant health crises 21^st century with emergence and rapid spread potentially fatal 2019 coronavirus (COVID-19). In this context, sentinel surveillance SARS-CoV-2 variants was conducted in Conakry. Here we report first data on reproduction numbers risk factors during Omicron post-epidemic period Guinea. Methods: A syndromic genomic study suspected patients from October 2022 to July 2024 at healthcare facilities Individual nasopharyngeal swabs were collected sent Centre de Recherche et Formation en Infectiologie Guinée (CERFIG) laboratory for screening sequencing by next-generation (NGS). The basic number (R0) effective (Rt) estimated using EpiEstim assess transmission potential variant its sub-variants. Generalized linear models based binomial distribution employed analyze associated positivity, following identification primary Bayesian model averaging Near-Miss balance algorithm. Results: Data 1174 cases a median age 31 years (IQR: 20-51), analyzed. overall COVID-19 positivity rate 11.8%. global 1.98 [95% CI: 1.02-3.25] 2.08 0.35-5.81]. Data 1,174 analyzed, 20-51). Factors independently positive infection included agueusia (AOR= 2.29; 95% CI [1.19-4.52]), cough 7.10; [2.51-25.5]), contact or confirmed case 5.88; [2.45-15.7]). Conclusion: SARS-Cov-2 is still circulating Guinea, high rates base are unchanged our country. circulation diversity strains suggest need strengthen epidemiological surveillance, support all those involved response COVID-19, ensure continuity alerts decision-making public health.

Язык: Английский

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