Risk estimation of lifted mask mandates and emerging variants using mathematical model
暂无分享,去创建一个
Renier G. Mendoza | Y. Ko | Y. Seo | Jacob Lee | Eunok Jung | V. Mendoza
[1] S. Cauchemez,et al. Modelling the end of a Zero-COVID strategy using nirmatrelvir/ritonavir, vaccination and NPIs in Wallis and Futuna , 2022, The Lancet Regional Health - Western Pacific.
[2] A. Gumel,et al. Unraveling the dynamics of the Omicron and Delta variants of the 2019 coronavirus in the presence of vaccination, mask usage, and antiviral treatment , 2022, Applied Mathematical Modelling.
[3] A. Brouwer. Why the Spectral Radius? An intuition-building introduction to the basic reproduction number , 2022, Bulletin of Mathematical Biology.
[4] J. Wardian,et al. Effect of wearing masks in the hospital on patient-provider interaction: “They (providers) need to stay safe for their family and keep us safe.” , 2022, Patient Experience Journal.
[5] E. McBryde,et al. COVID-19 collaborative modelling for policy response in the Philippines, Malaysia and Vietnam , 2022, The Lancet Regional Health - Western Pacific.
[6] C. Ngonghala,et al. The impact of age structure and vaccine prioritization on COVID-19 in West Africa , 2022, Infectious Disease Modelling.
[7] Renier G. Mendoza,et al. Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study , 2022, Journal of Korean medical science.
[8] Fang Wang,et al. Mathematical modeling of mutated COVID-19 transmission with quarantine, isolation and vaccination. , 2022, Mathematical biosciences and engineering : MBE.
[9] Seemalata Jain,et al. Effectiveness of Face Mask or Respirator Use in Indoor Public Settings for Prevention of SARS-CoV-2 Infection — California, February–December 2021 , 2022, MMWR. Morbidity and mortality weekly report.
[10] Hsiang-Yu Yuan,et al. The impact of multiple non-pharmaceutical interventions on controlling COVID-19 outbreak without lockdown in Hong Kong: A modelling study , 2021, The Lancet Regional Health - Western Pacific.
[11] J. Lee,et al. Quantifying the effects of non-pharmaceutical and pharmaceutical interventions against COVID-19 epidemic in the Republic of Korea: Mathematical model-based approach considering age groups and the Delta variant , 2021, medRxiv.
[12] Naomi R. Waterlow,et al. SARS-CoV-2 infection risk during delivery of childhood vaccination campaigns: a modelling study , 2021, BMC Medicine.
[13] Yanni Xiao,et al. Quantifying competitive advantages of mutant strains in a population involving importation and mass vaccination rollout , 2021, Infectious Disease Modelling.
[14] R. Slayton,et al. Evaluation of different types of face masks to limit the spread of SARS-CoV-2: a modeling study , 2021, Scientific Reports.
[15] S. Mimura,et al. Clinical Evaluation of Self-Collected Saliva by Quantitative Reverse Transcription-PCR (RT-qPCR), Direct RT-qPCR, Reverse Transcription–Loop-Mediated Isothermal Amplification, and a Rapid Antigen Test To Diagnose COVID-19 , 2020, Journal of Clinical Microbiology.
[16] A. Gumel,et al. Could masks curtail the post-lockdown resurgence of COVID-19 in the US? , 2020, Mathematical Biosciences.
[17] William T Clarke,et al. FSL‐MRS: An end‐to‐end spectroscopy analysis package , 2020, bioRxiv.
[18] Mark Jit,et al. Projecting social contact matrices in 152 countries using contact surveys and demographic data , 2017, PLoS Comput. Biol..
[19] Sanjay Basu,et al. Complexity in Mathematical Models of Public Health Policies: A Guide for Consumers of Models , 2013, PLoS medicine.
[20] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .