These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 37561743)

  • 1. A data-driven Markov process for infectious disease transmission.
    Wang C; Mustafa S
    PLoS One; 2023; 18(8):e0289897. PubMed ID: 37561743
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Markov modeling and performance analysis of infectious diseases with asymptomatic patients.
    Li QL; Wang C; Yang F; Zhang C
    Math Biosci Eng; 2023 Sep; 20(10):17822-17848. PubMed ID: 38052538
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Risk estimation and prediction of the transmission of coronavirus disease-2019 (COVID-19) in the mainland of China excluding Hubei province.
    Wan H; Cui JA; Yang GJ
    Infect Dis Poverty; 2020 Aug; 9(1):116. PubMed ID: 32831142
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How do the contaminated environment influence the transmission dynamics of COVID-19 pandemic?
    Sarkar K; Mondal J; Khajanchi S
    Eur Phys J Spec Top; 2022; 231(18-20):3697-3716. PubMed ID: 36033354
    [TBL] [Abstract][Full Text] [Related]  

  • 5. All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing.
    Liu XX; Yang J; Fong S; Dey N; Millham RC; Fiaidhi J
    Int J Environ Res Public Health; 2022 Sep; 19(17):. PubMed ID: 36078679
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Theoretical Model to Investigate the Influence of Temperature, Reactions of the Population and the Government on the COVID-19 Outbreak in Turkey.
    Öz Y
    Disaster Med Public Health Prep; 2022 Feb; 16(1):214-222. PubMed ID: 32900399
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatial-temporal diffusion model of aggregated infectious diseases based on population life characteristics: a case study of COVID-19.
    Cao W; Zhao S; Tong X; Dai H; Sun J; Xu J; Qiu G; Zhu J; Tian Y
    Math Biosci Eng; 2023 Jun; 20(7):13086-13112. PubMed ID: 37501479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Impact of contact data resolution on the evaluation of interventions in mathematical models of infectious diseases.
    Contreras DA; Colosi E; Bassignana G; Colizza V; Barrat A
    J R Soc Interface; 2022 Jun; 19(191):20220164. PubMed ID: 35730172
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Uncertainty quantification in epidemiological models for the COVID-19 pandemic.
    Taghizadeh L; Karimi A; Heitzinger C
    Comput Biol Med; 2020 Oct; 125():104011. PubMed ID: 33091766
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A hybrid stochastic model and its Bayesian identification for infectious disease screening in a university campus with application to massive COVID-19 screening at the University of Liège.
    Arnst M; Louppe G; Van Hulle R; Gillet L; Bureau F; Denoël V
    Math Biosci; 2022 May; 347():108805. PubMed ID: 35306009
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread.
    Tan Y; Iii DC; Ndeffo-Mbah M; Braga-Neto U
    Math Biosci Eng; 2021 Sep; 18(6):7685-7710. PubMed ID: 34814270
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil.
    Savi PV; Savi MA; Borges B
    Comput Math Methods Med; 2020; 2020():9017157. PubMed ID: 33029196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Stochastic modelling of infectious diseases for heterogeneous populations.
    Ming RX; Liu JM; W Cheung WK; Wan X
    Infect Dis Poverty; 2016 Dec; 5(1):107. PubMed ID: 28003016
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mathematical Modeling of COVID-19 Transmission and Intervention in South Korea: A Review of Literature.
    Lee H; Kim S; Jeong M; Choi E; Ahn H; Lee J
    Yonsei Med J; 2023 Jan; 64(1):1-10. PubMed ID: 36579373
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Global analysis and prediction scenario of infectious outbreaks by recurrent dynamic model and machine learning models: A case study on COVID-19.
    Rakhshan SA; Nejad MS; Zaj M; Ghane FH
    Comput Biol Med; 2023 May; 158():106817. PubMed ID: 36989749
    [TBL] [Abstract][Full Text] [Related]  

  • 16. COVID-19 cluster size and transmission rates in schools from crowdsourced case reports.
    Tupper P; Pai S; ; Colijn C
    Elife; 2022 Oct; 11():. PubMed ID: 36269056
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region.
    Pernice S; Castagno P; Marcotulli L; Maule MM; Richiardi L; Moirano G; Sereno M; Cordero F; Beccuti M
    BMC Infect Dis; 2020 Oct; 20(1):798. PubMed ID: 33115434
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures.
    Watanabe A; Matsuda H
    Health Care Manag Sci; 2023 Mar; 26(1):46-61. PubMed ID: 36203115
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Incidence of common infectious diseases in Japan during the COVID-19 pandemic.
    Hibiya K; Iwata H; Kinjo T; Shinzato A; Tateyama M; Ueda S; Fujita J
    PLoS One; 2022; 17(1):e0261332. PubMed ID: 35020724
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Testing the identification effectiveness of an unknown outbreak of the Infectious Diseases Seeker (IDS) using and comparing the novel coronavirus disease (COVID-19) outbreak with the past SARS and MERS epidemics.
    Baldassi F; Cenciarelli O; Malizia A; Gaudio P
    J Infect Public Health; 2021 Jan; 14(1):123-130. PubMed ID: 33412372
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.