Accuracy of Self-Reported COVID-19 Vaccination Status Compared With a Public Health Vaccination Registry in Québec: Observational Diagnostic Study

JMIR Public Health and Surveillance, Journal Year: 2023, Volume and Issue: 9, P. e44465 - e44465

Published: June 16, 2023

Background The accuracy of self-reported vaccination status is important to guide real-world vaccine effectiveness studies and policy making in jurisdictions where access electronic registries restricted. Objective This study aimed determine the reliability number doses, brand, time administration. Methods diagnostic was completed by Canadian COVID-19 Emergency Department Rapid Response Network. We enrolled consecutive patients presenting 4 emergency departments (EDs) Québec between March 24, 2020, December 25, 2021. included adult who were able consent, could speak English or French, had a proven infection. compared with their Vaccination Registry. Our primary outcome (index test) ascertained during telephone follow-up Registry (reference standard). calculated dividing all correctly vaccinated unvaccinated participants sum incorrectly participants. also reported interrater agreement reference standard as measured unweighted Cohen κ for at index ED visit, brand. Results During period, we 1361 At interview, 932 least 1 dose vaccine. 96% (95% CI 95%-97%). phone 0.91 0.89-0.93) 0.85 0.77-0.92) visit. 0.89 0.87-0.91) 0.80 0.75-0.84) brand first dose, 0.76 0.70-0.83) second 0.59 0.34-0.83) third dose. Conclusions high without cognitive disorders can express themselves French. Researchers use data on doses received, name, timing future research are capable self-reporting data. However, official still needed certain susceptible populations remain missing impossible obtain. Trial Registration Clinicaltrials.gov NCT04702945; https://clinicaltrials.gov/ct2/show/NCT04702945

Language: Английский

---

Transmission of COVID-19 in Cities with Weather Conditions of High Air Humidity: Lessons Learned from Turkish Black Sea Region to Face Next Pandemic Crisis

COVID, Journal Year: 2023, Volume and Issue: 3(11), P. 1648 - 1662

Published: Oct. 29, 2023

The goal of this study is to analyze associations between COVID-19 transmission and meteorological indicators in cities the Black Sea region Turkey, located specifically dampest area, with excess rainfall recurring fog. In particular, working hypothesis that widespread new coronavirus SARS-CoV-2 (leading airborne disease COVID-19) can be explained by specific weather conditions, namely high levels air humidity. Statistical evidence here does not seem, general, support accelerated studied humidity because different meteorological, environmental, demographic, socioeconomic factors also plays a critical role dynamics investigated region. main implications our findings are demographic structure population, climate indicators, organization health system, environmental (e.g., pollution, etc.) should considered through systemic approach when designing effective national regional pandemic plans directed implement policies for facing variants and/or diseases, order reduce their negative effects on health, social economic systems.

Language: Английский

---

Five waves of the COVID-19 pandemic and green–blue spaces in urban and rural areas in Poland

Environmental Research, Journal Year: 2022, Volume and Issue: 216, P. 114662 - 114662

Published: Oct. 30, 2022

Language: Английский

---

Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA

Mathematical Biosciences & Engineering, Journal Year: 2023, Volume and Issue: 20(6), P. 10828 - 10865

Published: Jan. 1, 2023

<abstract><p>In this paper we study different vaccination strategies that could have been implemented for the early COVID-19 pandemic. We use a demographic epidemiological mathematical model based on differential equations in order to investigate efficacy of variety under limited vaccine supply. number deaths as metric measure each these strategies. Finding optimal strategy programs is complex problem due large variables affect outcomes. The constructed takes into account risk factors such age, comorbidity status and social contacts population. perform simulations assess performance more than three million which vary depending priority group. This focuses scenario corresponding period USA, but can be extended other countries. results show importance designing an save human lives. extremely amount factors, high dimensionality nonlinearities. found low/moderate transmission rates prioritizes groups, rates, groups with CFRs. provide valuable information design programs. Moreover, help scientific guidelines future pandemics.</p></abstract>

Language: Английский

---

Spatio-temporal heterogeneity in the international trade resilience during COVID-19

Applied Geography, Journal Year: 2023, Volume and Issue: 154, P. 102923 - 102923

Published: March 9, 2023

Language: Английский

---

iPREDICT: AI enabled proactive pandemic prediction using biosensing wearable devices

Informatics in Medicine Unlocked, Journal Year: 2024, Volume and Issue: 46, P. 101478 - 101478

Published: Jan. 1, 2024

The emergence of pandemics poses a persistent threat to both global health and economic stability. While zoonotic spillovers local outbreaks may not be fully preventable, early detection infections in individuals before they spread communities can make major difference containing an infectious disease stopping it from becoming epidemic then pandemic. In this paper, we propose novel Artificial Intelligence (AI)-based pandemic prediction framework called iPREDICT–a concept designed leverage the power AI crowd-sensed data for accurate timely prediction. core idea iPREDICT is deluge that harnessed connected wearable biosensing devices. system works by monitoring anomalies biomarkers at individual level correlating them with similar observed other members community. Using AI-based anomaly conjunction analysis spatiotemporal growth correlated anomalies, thus potentially detect monitor outbreak near real-time predict potential However, every has become We illustrate how tools like graph neural networks leveraged determine optimal thresholds as function large number demographical, social, geographical factors outbreak, quantifying risk or also identify essential technological social challenges require attention transform into globally deployable solution future management. To provide deeper insights design trigger research towards possible solutions present COVID-19 based case study. results signify impact variation hardware, sampling rate, compression rate on performance models underpin various components system.

Language: Английский

---

Modeling and optimal control of COVID-19 with comorbidity and three-dose vaccination in Indonesia

Journal of Biosafety and Biosecurity, Journal Year: 2024, Volume and Issue: 6(3), P. 181 - 195

Published: July 6, 2024

This paper presents and examines a COVID-19 model that takes comorbidities up to three vaccine doses into account. We analyze the stability of equilibria, examine herd immunity, conduct sensitivity analysis validated by data on in Indonesia. The disease-free equilibrium is locally globally asymptotically stable whenever basic reproduction number less than one, while an endemic exists when greater one. Subsequently, incorporates two effective measures, namely public education enhanced medical care, determine most advantageous approach for mitigating transmission disease. optimal control then determined using Pontryagin's maximum principle. integrated strategy best method reliably safeguarding general population against infection. Cost evaluations numerical simulations corroborate this conclusion.

Language: Английский

---

Country Risk to Face Global Emergencies: Negative Effects of High Public Debt on Health Expenditures and Fatality Rate in COVID-19 Pandemic Crisis

IgMin Research, Journal Year: 2024, Volume and Issue: 2(7), P. 537 - 545

Published: July 6, 2024

Risk is a variation of performance in the presence events and it can negatively impact socioeconomic system countries. Statistical evidence here shows that high public debt reduces health expenditures over time increases vulnerability risk European countries to face emergencies, such as COVID-19 pandemic crisis. Overall, then, findings suggest weakens healthcare cope with crises, pandemic, conflicts, natural disasters, etc. JEL Codes: I18; H12; H51; H60; H63

Language: Английский

---

Socioeconomic status correlates with COVID-19 vaccination coverage among primary and secondary students in the most populated city of Chile

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 9, 2025

The burden of COVID-19 was heterogeneous, indicating that the effects this disease are synergistic with both other non-communicable diseases and socioeconomic status (SES), highlighting its syndemic character. While appearance vaccines moderated pandemic effects, their coverage heterogeneous too, when comparing different countries, populations within countries. Of note, once again SES appears to be a correlated factor. We analyzed publicly available data detailing percentage school-aged, vaccinated children in municipalities belonging Metropolitan Area (MA) Santiago, Chile. Vaccination compiled per school type, either public, state-subsidized, or private, at three dates during cover dispersion Delta, Omicron, subvariants BA.4 BA.5. computed median vaccination ratio for each municipality type calculated Spearman's rank correlation coefficient one nine indices. school-age who received vaccinations against correlates SES. This strong is observed public state-subsidized schools, but not private schools. Although inequity decreased over time, it remained higher among students enrolled schools compared those insufficient explore plausible causes behind lower coverage, likely combination factors including lack proper information about importance vaccination, incentives children's low trust government, limited access lower-income people, may all have contributed. These findings raise need design better strategies overcome shortcomings campaigns confront future pandemics.

Language: Английский

---

COVID-19 Mortality Rate Variability Linked to Healthcare Expenditures in European Countries

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

This study explores how healthcare investment influences health system capabilities during the COVID-19 pandemic across European countries. It investigates if higher spending correlates with lower fatality rates using data from World Bank, OECD, and Eurostat. Examining a sample of nations, research identifies that countries initial in 2020 consistently maintained elevated subsequent years. These generally allocated smaller GDP percentage to healthcare, had per capita, invested less development compared others. Statistical analysis reveals significant negative correlation between mortality 2022 expenditure as 2020, suggesting strong association greater reduced rates. The underscores importance robust funding bolstering nation’s capacity manage mitigate impacts crises like COVID-19.

Language: Английский

---