The effect of COVID-19 vaccination on symptomatic infection and related symptoms among preterm-born children aged 3–7 years in China DOI Creative Commons
Dan Wang, Jing Ning,

Jingke Cao

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Окт. 25, 2024

Vaccination plays a crucial role in preventing and controlling SARS-CoV-2 infections as well their associated adverse outcomes. But there is notable lack of research on the effectiveness COVID-19 vaccination children, particularly those young preterm-born who are more vulnerable to severe outcomes from infection. We aimed determine effect with inactivated vaccines BBIBP-CorV CoronaVac symptomatic infection related symptoms children aged 3-7 years after relaxation prevention control measures December 2022 China. performed retrospective cohort study involving 242 data were collected March 2023. Logistic regression models modified Poisson combined entropy balancing used explore associations against COVID-19, specific symptoms, persistent one month recovery COVID-19. Of recruited 156 (64.5%) vaccinated CoronaVac. After balancing, covariates balanced between unvaccinated groups, standardized mean difference < 0.001. said lowered risk developing (risk ratio [RR] = 0.783; 95% confidence interval [CI]: (0.711, 0.861). Likewise, was decline pneumonia (odds [OR] 0.318; CI 0.110, 0.913), fever (RR 0.710; 0.635, 0.794), high 0.542; 0.297, 0.988), sore throat (OR 0.304; 0.139, 0.664), 0.425; 0.182, 0.993). Immunization provides protection for years.

Язык: Английский

Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models DOI Creative Commons
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka

и другие.

Infectious Disease Modelling, Год журнала: 2024, Номер 9(4), С. 1057 - 1080

Опубликована: Май 15, 2024

As the world becomes ever more connected, chance of pandemics increases as well. The recent COVID-19 pandemic and concurrent global mass vaccine roll-out provides an ideal setting to learn from refine our understanding infectious disease models for better future preparedness. In this review, we systematically analyze categorize mathematical that have been developed design optimal prioritization strategies initially limited vaccine. older individuals are disproportionately affected by COVID-19, focus is on take age explicitly into account. lower mobility activity level gives rise non-trivial trade-offs. Secondary research questions concern time interval between doses spatial distribution. This review showcases effect various modeling assumptions model outcomes. A solid these relationships yields thus public health decisions during next pandemic.

Язык: Английский

Процитировано

6
Exploring the association between ambient air pollution and COVID-19 risk: A comprehensive meta-analysis with meta-regression modelling DOI Creative Commons

Harry Asena Musonye,

Yisheng He,

Merga Bayou Bekele

и другие.

Heliyon, Год журнала: 2024, Номер 10(12), С. e32385 - e32385

Опубликована: Июнь 1, 2024

IntroductionAir pollution is speculated to increase the risk of Coronavirus disease-2019 (COVID-19). Nevertheless, results remain inconsistent and inconclusive. This study aimed explore association between ambient air (AAP) COVID-19 risks using a meta-analysis with meta-regression modelling.MethodsThe inclusion criteria were: original studies quantifying effect sizes 95% confidence intervals (CIs); time-series, cohort, ecological or case-crossover peer-reviewed in English. Exclusion encompassed non-original studies, animal data common errors. PubMed, Web Science, Embase Google Scholar electronic databases were systemically searched for eligible literature, up 31, March 2023. The bias (ROB) was assessed following Agency Healthcare Research Quality parameters. A random-effects model used calculate pooled ratios (RRs) their CIs.ResultsA total 58 2020 2023, met criteria. global representation skewed, major contributions from USA (24.1%) China (22.4%). distribution included on short-term (43.1%) long-term (56.9%) exposure. Ecological constituted 51.7%, time-series-27.6%, cohorts-17.2%, case crossover-3.4%. ROB assessment showed low (86.2%) moderate (13.8%) risk. incidences increased 10μg/m3 PM2.5 [RR=4.9045; CI (4.1548-5.7895)], PM10 [RR=2.9427: (2.2290-3.8850)], NO2 [RR=3.2750: (3.1420-3.4136)], SO2 [RR=3.3400: (2.7931-3.9940)], CO [RR=2.6244: (2.5208-2.7322)] O3 [RR=2.4008: (2.1859-2.6368)] concentrations. concentrations [RR=3.0418: (2.7344-3.3838)], [RR=2.6202: (2.1602-3.1781)], [RR=3.2226: (2.1411-4.8504)], [RR=1.8021 (0.8045-4.0370)] [RR=2.3270 (1.5906-3.4045)] significantly associated mortality. Stratified analysis that design, exposure period, country influenced exposure-response associations. Meta-regression indicated significant predictors pollution-COVID-19 incidence associations.ConclusionThe study, while robust, lacks causality demonstration focuses only China, limiting its generalizability. Regardless, provides strong evidence base pollution-COVID-19-risks associations, offering valuable insights intervention measures COVID-19.

Язык: Английский

Процитировано

4
Opening Pandora's box: caveats with using toolbox-based approaches in mathematical modeling in biology DOI Creative Commons
Vitaly V. Ganusov

Frontiers in Applied Mathematics and Statistics, Год журнала: 2024, Номер 10

Опубликована: Янв. 29, 2024

Mathematical modeling is a powerful method to understand how biological systems work. By creating mathematical model of given phenomenon one can investigate which assumptions are needed explain the and be omitted. Creating an appropriate (or set models) for system art, classical textbooks on in biology go into great detail discussing models understood via analytical numerical analyses. In last few decades has grown size complexity, along with this growth new tools analysis and/or comparing data have been proposed. Examples include methods sensitivity analyses, alternative (based AIC/BIC/etc.), mixed-effect-based fitting data. I argue that use many these "toolbox" approaches negatively impacted basic philosophical principle - what does why it does. provide several examples limitations toolbox-based they hamper generation insights about question. also while we should learn ways automate modeling-based analyses phenomena, aim beyond mechanical such bring back intuitive functioning, by remembering after all, art not simply engineering. "Getting something nothing impossible; there always price pay." Louis Gross. "There thing as free lunch."

Язык: Английский

Процитировано

1
Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models DOI Creative Commons
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka

и другие.

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

Опубликована: Март 6, 2024

As the world becomes ever more connected, chance of pandemics increases as well. The recent COVID-19 pandemic and concurrent global mass vaccine roll-out provides an ideal setting to learn from refine our understanding infectious disease models for better future preparedness. In this review, we systematically analyze categorize mathematical that have been developed design optimal prioritization strategies initially limited vaccine. older individuals are disproportionately affected by COVID-19, focus is on take age explicitly into account. lower mobility activity level gives rise non-trivial trade-offs. Secondary research questions concern time interval between doses spatial distribution. This review showcases effect various modeling assumptions model outcomes. A solid these relationships yields thus public health decisions during next pandemic.

Язык: Английский

Процитировано

0
Second booster dose improves antibody neutralization against BA.1, BA.5 and BQ.1.1 in individuals previously immunized with CoronaVac plus BNT162B2 booster protocol DOI Creative Commons
Guilherme Rodrigues Fernandes Campos, Nathalie Bonatti Franco Almeida, Priscilla Soares Filgueiras

и другие.

Frontiers in Cellular and Infection Microbiology, Год журнала: 2024, Номер 14

Опубликована: Апрель 4, 2024

Introduction SARS-CoV-2 vaccines production and distribution enabled the return to normalcy worldwide, but it was not fast enough avoid emergence of variants capable evading immune response induced by prior infections vaccination. This study evaluated, against Omicron sublineages BA.1, BA.5 BQ.1.1, antibody a cohort vaccinated with two doses CoronaVac protocol followed heterologous booster doses. Methods To assess vaccination effectiveness, serum samples were collected from 160 individuals, in 3 different time points (9, 12 18 months after protocol). For each point, individuals divided into subgroups, based on number additional received (No booster, 1 2 boosters), viral microneutralization assay performed evaluate neutralization titers seroconvertion rate. Results The findings presented here show that, despite first at 9m improved level omicron ancestor BA.1 (133.1 663.3), this trend significantly lower for BQ.1.1 (132.4 199.1, 63.2 100.2, respectively). However, 18m administration second dose considerably neutralization, observed only (2361.5), also subvariants (726.1) (659.1). Additionally, our data showed rate decayed over (93.3% 12m 68.4% 18m), completely recovered (95% 18m). Discussion Our reinforces concerns about immunity evasion subvariants, where less neutralized vaccine antibodies than BA.1. On other hand, enhanced capacity these subvariants. It is likely as new continue emerge, immunizations will be needed time.

Язык: Английский

Процитировано

0
The effect of COVID-19 vaccination on symptomatic infection and related symptoms among preterm-born children aged 3–7 years in China DOI Creative Commons
Dan Wang, Jing Ning,

Jingke Cao

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Окт. 25, 2024

Vaccination plays a crucial role in preventing and controlling SARS-CoV-2 infections as well their associated adverse outcomes. But there is notable lack of research on the effectiveness COVID-19 vaccination children, particularly those young preterm-born who are more vulnerable to severe outcomes from infection. We aimed determine effect with inactivated vaccines BBIBP-CorV CoronaVac symptomatic infection related symptoms children aged 3-7 years after relaxation prevention control measures December 2022 China. performed retrospective cohort study involving 242 data were collected March 2023. Logistic regression models modified Poisson combined entropy balancing used explore associations against COVID-19, specific symptoms, persistent one month recovery COVID-19. Of recruited 156 (64.5%) vaccinated CoronaVac. After balancing, covariates balanced between unvaccinated groups, standardized mean difference < 0.001. said lowered risk developing (risk ratio [RR] = 0.783; 95% confidence interval [CI]: (0.711, 0.861). Likewise, was decline pneumonia (odds [OR] 0.318; CI 0.110, 0.913), fever (RR 0.710; 0.635, 0.794), high 0.542; 0.297, 0.988), sore throat (OR 0.304; 0.139, 0.664), 0.425; 0.182, 0.993). Immunization provides protection for years.

Язык: Английский

Процитировано

0