The following publications were captured by the DevPubMetric system that include one or more authors from the University of Leicester contributing to research related to Covid-19. These recent publications were recorded by the Scopus system over the previous month.
The following information was updated on 1 October 2021 by the DevPubMetric system using data captured by the Scopus database.
There are 31 publications included in this list.
Abascal J., Biele C., Cnotkowski D., Górska G., Kowalski J., Law E., Muczyński B., Ogunyemi A.A., Wierzbowski M., Zdrodowska A. (2021), Remote Conference in the Times of the Pandemic In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pgs: 575-578 (Book Series:Conference Paper) https://doi.org/10.1007/978-3-030-85607-6_80
Akenroye T.O., Abubakre A., Elbaz J., Vishnu C.R., Beka Be Nguema J.N., Rana G., Ihua U.B., Kalili H., Falode O. (2021), Modeling the barriers to multistakeholder collaboration for COVID-19 pandemic response: Evidence from Sub-Saharan Africa, International Public Management Journal : https://doi.org/10.1080/10967494.2021.1970061
Carr E.J., Wu M., Harvey R., Wall E.C., Kelly G.P., Hussain S., Howell M., Kassiotis G., Swanton C., Gandhi S., et al. (2021), Neutralising antibodies after COVID-19 vaccination in UK haemodialysis patients, The Lancet 398: 1038-1041 https://doi.org/10.1016/S0140-6736(21)01854-7
Chudasama Y., Zaccardi F., Gillies C., Razieh C., Yates T., Kloecker D., Rowlands A., Davies M., Islam N., Seidu S., et al. (2021), Patterns of multimorbidity and risk of severe SARS-CoV-2 infection: an observational study in the U.K., BMC Infectious Diseases 21: https://doi.org/10.1186/s12879-021-06600-y
Daynes E., Gerlis C., Singh S. (2021), The demand for rehabilitation following COVID-19: a call to service providers, Physiotherapy (United Kingdom) : https://doi.org/10.1016/j.physio.2021.05.004
Edirisingha P. (2021), Editorial introduction to the special issue “online and distance learning during lockdown times: Covid-19 stories–series 1”, Education Sciences 11: https://doi.org/10.3390/educsci11090482
Falco A., Girardi D., Dal Corso L., Yildirim M., Converso D. (2021), The perceived risk of being infected at work: An application of the job demands–resources model to workplace safety during the COVID-19 outbreak, PLoS ONE 16: https://doi.org/10.1371/journal.pone.0257197
Halliwell M. (2021), American Health Crisis: One Hundred Years of Panic, Planning, and Politics, pgs: 1-405 (Book)
Hippisley-Cox J., Patone M., Mei X.W., Saatci D., Dixon S., Khunti K., Zaccardi F., Watkinson P.J., Shankar-Hari M., Doidge J., et al. (2021), Risk of thrombocytopenia and thromboembolism after covid-19 vaccination and SARS-CoV-2 positive testing: Self-controlled case series study, The BMJ 374: https://doi.org/10.1136/bmj.n1931
Hippisley-Cox J., Coupland C., Mehta N., Keogh R.H., Diaz-Ordaz K., Khunti K., Lyons R.A., Kee F., Sheikh A., Rahman S., et al. (2021), Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: National prospective cohort study, The BMJ 374: https://doi.org/10.1136/bmj.n2244
Kennedy M. (2021), Feminism and the Politics of Resilience: Spectacular girls and the place of psychoanalytic approaches in feminist media and cultural studies during the Coronavirus crisis, European Journal of Cultural Studies : https://doi.org/10.1177/13675494211044174
Kumar A., Tripathi A.R., Satapathy S.C., Zhang Y. (2022), SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network, Pattern Recognition 122: https://doi.org/10.1016/j.patcog.2021.108255
Li F., Jin T., Edirisingha P., Zhang X. (2021), School-aged students’ sustainable online learning engagement during covid-19: Community of inquiry in a chinese secondary education context, Sustainability (Switzerland) 13: https://doi.org/10.3390/su131810147
Lu S., Zhu Z., Gorriz J.M., Wang S.H., Zhang Y. (2021), NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network, International Journal of Intelligent Systems : https://doi.org/10.1002/int.22686
Misra S., Barron E., Vamos E., Thomas S., Dhatariya K., Kar P., Young B., Khunti K., Valabhji J. (2021), Temporal trends in emergency admissions for diabetic ketoacidosis in people with diabetes in England before and during the COVID-19 pandemic: a population-based study, The Lancet Diabetes and Endocrinology 9: 671-680 https://doi.org/10.1016/S2213-8587(21)00208-4
Ortiz S.A. (2021), Phenomenon-brand? Visual identity for developing events. The case of COVID-19., Grafica 9: 165-174 https://doi.org/10.5565/rev/grafica.194
Panda S., Roy S., Garg R.K., Hui G., Gorard J., Bhutada M., Sun Y., Bhatnagar S., Mohan A., Dar L., et al. (2021), COVID-19 disease in hospitalized young adults in India and China: Evaluation of risk factors predicting progression across two major ethnic groups, Journal of Medical Virology : https://doi.org/10.1002/jmv.27315
Qaid T.S., Mazaar H., Al-Shamri M.Y.H., Alqahtani M., Raweh A.A., Alakwaa W. (2021), Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19, Computational Intelligence and Neuroscience 2021: https://doi.org/10.1155/2021/9996737
Quin T.J., Burton J.K., Carter B., Cooper N., Dwan K., Field R., Freeman S.C., Gue C., Hsieh P.H., McGill K., et al. (2021), Correction to: Following the science? Comparison of methodological and reporting quality of covid-19 and other research from the first wave of the pandemic (BMC Medicine, (2021), 19, 1, (46), 10.1186/s12916-021-01920-x), BMC Medicine 19: https://doi.org/10.1186/s12916-021-02073-7
Rockowitz S., Stevens L.M., Rockey J., Smith L., Ritchie J., Colloff M., Kanja W., Cotton J., Njoroge D., Kamau C., et al. (2021), Patterns of sexual violence against adults and children during the COVID-19 pandemic in Kenya: A prospective cross-sectional study, BMJ Open 11: https://doi.org/10.1136/bmjopen-2021-048636
Sii S., Chean C.S., Kuht H.J., Thomas M., Rufai S. (2021), Home-based screening tools for amblyopia: A systematic review protocol, BMJ Open 11: https://doi.org/10.1136/bmjopen-2021-051830
Tromans S. (2021), Editorial on Psychological distress in the Greek general population during the first COVID-19 lockdown, BJPsych Open 7: https://doi.org/10.1192/bjo.2021.1014
Valabhji J., Barron E., Bradley D., Bakhai C., Khunti K., Jebb S. (2021), Effect of the COVID-19 pandemic on body weight in people at high risk of type 2 diabetes referred to the English NHS Diabetes Prevention Programme, The Lancet Diabetes and Endocrinology 9: 649-651 https://doi.org/10.1016/S2213-8587(21)00218-7
Valabhji J., Barron E., Vamos E., Dhatariya K., Game F., Kar P., Weaver A., Verma S., Young B., Khunti K. (2021), Temporal trends in lower-limb major and minor amputation and revascularization procedures in people with diabetes in england during the covid-19 pandemic, Diabetes Care 44: e133-e135 https://doi.org/10.2337/dc20-2852
Varela A.R., Sallis R., Rowlands A., Sallis J.F. (2021), Physical inactivity and COVID-19: When pandemics collide, Journal of Physical Activity and Health 18: 1159-1160 https://doi.org/10.1123/jpah.2021-0454
Waløen K., Jung-KC K., Vecchia E., Pandey S., Gasparik N., Døskeland A., Patil S., Kleppe R., Hritz J., Norton W., et al. (2021), Cysteine modification by ebselen reduces the stability and cellular levels of 14-3-3 Proteins, Molecular Pharmacology 100: 155-169 https://doi.org/10.1124/MOLPHARM.120.000184
Wang S.H., Satapathy S.C., Anderson D., Chen S.X., Zhang Y. (2021), Deep Fractional Max Pooling Neural Network for COVID-19 Recognition, Frontiers in Public Health 9: https://doi.org/10.3389/fpubh.2021.726144
Wang W. (2021), Covid-19 Detection by Wavelet Entropy and Jaya In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pgs: 499-508 (Book Series:Conference Paper) https://doi.org/10.1007/978-3-030-84532-2_45
Williams T., Lyttle M., Cunningham S., Sinha I., Swann O., Maxwell-Hodkinson A., Roland D. (2021), Study Pre-protocol for 'BronchStart - The Impact of the COVID-19 Pandemic on the Timing, Age and Severity of Respiratory Syncytial Virus (RSV) Emergency Presentations; a Multi-Centre Prospective Observational Cohort Study', Wellcome Open Research 6: https://doi.org/10.12688/wellcomeopenres.16778.1
Wong A.K.C., Wong F.K.Y., Chow K.K.S., Wong S.M., Lee P.H. (2021), Effect of a Telecare Case Management Program for Older Adults Who Are Homebound during the COVID-19 Pandemic: A Pilot Randomized Clinical Trial, JAMA Network Open 4: https://doi.org/10.1001/jamanetworkopen.2021.23453
Woolf K., Melbourne C.A., Bryant L., Guyatt A.L., Chris McManus I., Gupta A., Free R., Nellums L., Carr S., John C., et al. (2021), The United Kingdom Research study into Ethnicity and COVID-19 outcomes in Healthcare workers (UK-REACH): Protocol for a prospective longitudinal cohort study of healthcare and ancillary workers in UK healthcare settings, BMJ Open 11: https://doi.org/10.1136/bmjopen-2021-050647
Data were captured and processed by the DevPubMetric system. The list of publications was extracted using the Scopus using the Scopus system searching for publications linked to institutional affiliations
All records were then processed to collate full bibliographic data downloaded from Scopus.
This list of publications only contains documents from sources that are included in the Scopus database.