Article
Environmental Sciences
Xiong He, Chunshan Zhou, Yuqu Wang, Xiaodie Yuan
Summary: The study assessed and predicted the epidemic risk in Guangzhou using logistic regression analysis, finding a trend of declining and then increasing in 2020, with high-risk areas mainly concentrated in regions with resident and floating populations. The prediction accuracy for the February 2021 Spring Festival travel rush exceeded 99%. The study highlighted the importance of controlling population agglomeration and interaction for effective prevention and control of COVID-19.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Public, Environmental & Occupational Health
Jingyi Zhao, Cun Fu, Xin Kang
Summary: This study analyzed 1,296 COVID-19 rumors collected from an online platform in China and found measurable differences in content characteristics between true and false rumors. The length of a rumor's headline and statement were related to its truthfulness, with rumors containing concrete places and specific dates or times more likely to be true. Rumors that did not evoke emotions and did not include a call for action were also more likely to be true.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Medicine, General & Internal
William J. Hulme, Elizabeth Williamson, Elsie M. F. Horne, Amelia Green, Helen I. I. McDonald, Alex J. J. Walker, Helen J. J. Curtis, Caroline E. Morton, Brian MacKenna, Richard Croker, Amir Mehrkar, Seb Bacon, David Evans, Peter Inglesby, Simon Davy, Krishnan Bhaskaran, Anna Schultze, Christopher T. Rentsch, Laurie Tomlinson, Ian J. Douglas, Stephen J. W. Evans, Liam Smeeth, Tom Palmer, Ben Goldacre, Miguel A. Hernan, Jonathan A. C. Sterne
Summary: The COVID-19 vaccines were developed and evaluated through randomized trials, but important questions remain unanswered. Observational studies and target trial emulation can provide valuable insights, although potential biases need to be managed. This article presents two approaches to emulate target trials using observational data.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Public, Environmental & Occupational Health
Rashid M. Ansari, Peter Baker
Summary: This study identified predictors of Covid-19 infection outcomes and developed prediction models, including factors such as total T cells and the number of infected cells in the blood. Results showed that factors like BMI, comorbidity, and specific cell types were significantly associated with infection severity, and the multivariate logistic regression model showed promise in predicting infection severity.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2021)
Article
Construction & Building Technology
Rongbo Zhu, Qianao Ding, Mai Yu, Jun Wang, Maode Ma
Summary: This study proposes an early warning scheme for Internet public opinion related to the COVID-19 outbreak, utilizing a hybrid RVM-L model to enhance prediction accuracy and introducing a critical interval metric to improve early warning performance. Experimental results show that the proposed scheme can achieve up to 96% prediction accuracy and reduce public opinions by 60% within the critical interval.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Immunology
Xuefeng Gu, Ling Sha, Shaofeng Zhang, Duo Shen, Wei Zhao, Yongxiang Yi
Summary: The study aimed to develop a diagnostic model for asymptomatic and moderate COVID-19 patients based on demographic, clinical, and laboratory variables. Comparing the two groups, it was found that neutrophil count and lymphocyte count were independent predictors for the presence of clinical symptoms after COVID-19 infection, serving as diagnostic predictors of asymptomatic COVID-19.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2021)
Article
Medicine, General & Internal
Binila Chacko, Lovely Thomas, Roshni Sharma, Bijesh Yadav, Lakshmanan Jeyaseelan, Ashwin O. Arul, Punitha Victor, Vignesh K. Chandiraseharan, Audrin Lenin, Ronald A. B. Carey, Jonathan A. J. Jayakaran, Rajiv K. Krishnaswami, John Victor Peter
Summary: The study investigated the role of noninvasive ventilation in SARS-CoV2 related acute respiratory failure, finding that NIV success rate was 63.6% and factors associated with failure included lower admission PaO2 to FiO2 ratio and higher respiratory rate.
MAYO CLINIC PROCEEDINGS
(2022)
Article
Multidisciplinary Sciences
Sam Nguyen, Ryan Chan, Jose Cadena, Braden Soper, Paul Kiszka, Lucas Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray
Summary: The study developed a ML-based tool using EHR data to predict adverse outcomes in COVID-19 patients, optimizing clinical utility under a given cost structure. Results showed that it is possible to achieve a significant reduction in cost with only a small reduction in predictive performance under various budget constraints.
SCIENTIFIC REPORTS
(2021)
Article
Virology
HoiMan Ng, Teng Zhang, Guoliang Wang, SiMeng Kan, Guoyi Ma, Zhe Li, Chang Chen, Dandan Wang, MengIn Wong, ChioHang Wong, Jinliang Ni, Xiaohua Douglas Zhang
Summary: Influenza is a major respiratory disease, and the study in Macau reveals differences in influenza epidemics compared to other places, with significant variations in infection risks among different years and age groups, especially between tourists and locals.
Article
Multidisciplinary Sciences
Todd J. Levy, Kevin Coppa, Jinxuan Cang, Douglas P. Barnaby, Marc D. Paradis, Stuart L. Cohen, Alex Makhnevich, David van Klaveren, David M. Kent, Karina W. Davidson, Jamie S. Hirsch, Theodoros P. Zanos
Summary: This study develops a framework for continuously monitoring and updating prognostic models for COVID-19 patients, and applies it to predict patient survival. The results show that dynamically updating the models significantly improves their overall calibration performance.
NATURE COMMUNICATIONS
(2022)
Article
Mathematical & Computational Biology
Claudio Zanettini, Mohamed Omar, Wikum Dinalankara, Eddie Luidy Imada, Elizabeth Colantuoni, Giovanni Parmigiani, Luigi Marchionni
Summary: Since the beginning of the COVID-19 pandemic in 2020, a significant amount of data has been gathered, providing researchers with the opportunity to model the impact of various variables on COVID-19 morbidity and mortality for a better epidemiological understanding. However, in order to draw reliable estimates, models must also consider other available variables and metrics.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2021)
Article
Genetics & Heredity
Guichuan Lai, Hui Liu, Jielian Deng, Kangjie Li, Biao Xie
Summary: A novel gene signature comprising three genes (CLEC4D, DUSP13, and UNC5A) was developed to accurately distinguish COVID-19 patients. These genes may serve as potential biomarkers for COVID-19 patients.
Article
Multidisciplinary Sciences
Debendra Nath Roy, Md. Shah Azam, Ekramul Islam
Summary: This study investigates the acceptance and hesitancy of COVID-19 vaccine booster dose among university teachers and students in Bangladesh. The acceptance rates were higher among teachers compared to students. The study identified multiple factors influencing acceptance, including safety concerns, risk-benefit ratio, variant control, and post-vaccination side effects.
Article
Public, Environmental & Occupational Health
Lourdes Marie Sequerra Tejero, Rosemary Ruiz Seva, Bettina Joyce Petelo Ilagan, Kattleea Lorezca Almajose
Summary: Vaccination decisions among Filipinos are influenced by factors such as age, educational attainment, health insurance, employer requirement, awareness of the disease, and vaccine confidence.
Article
Virology
Lei Shu, Xiaoyan Wang, Mingquan Li, Xiaolin Chen, Ningfei Ji, Lei Shi, Mingjing Wu, Kaili Deng, Jing Wei, Xueli Wang, Yang Cao, Jiaxin Yan, Ganzhu Feng
Summary: The clinical characteristics and potential risk factors of COVID-19 patients in Wuhan Stadium Cabin Hospital were reported, with factors such as smoking history and diabetes associated with disease aggravation.
JOURNAL OF MEDICAL VIROLOGY
(2021)
Review
Nanoscience & Nanotechnology
Yan Zhang, Shu Wang, Ping Yang
JOURNAL OF NANOMATERIALS
(2020)
Article
Endocrinology & Metabolism
Ping Yang, Weiwei Xu, Ling Liu, Gangyi Yang
Summary: The study revealed a significant relationship between LDH and diabetic retinopathy in individuals with diabetes mellitus, with patients having LDH levels >134 U/L being more prone to DR, especially those with coronary heart disease.
JOURNAL OF DIABETES
(2023)
