COVID-19 in Iceland: the rising role of artificial intelligence in public health

References

[1] COVID-19 in Iceland - statistics. Available from: https://www.covid.is/data [Last accessed on 1 Jul 2021]

[2] Australian tourist, 36, dies in Iceland from coronavirus - as his grieving wife who also has the deadly illness is put in isolation. Available from: https://www.dailymail.co.uk/news/article-8132711/Coronavirus-Australian-tourist-36-dies-Iceland-suffering-COVID-19.html [Last accessed on 1 Jul 2021]

[3] Gudbjartsson DF,Jonsson H.Spread of SARS-CoV-2 in the Icelandic population.N Engl J Med2020;382:2302-15 PMCID:PMC7175425

[4] Eythorsson E,Ingvarsson RF.Clinical spectrum of coronavirus disease 2019 in Iceland: population based cohort study.BMJ2020;371:m4529 PMCID:PMC7708618

[5] editorial team. Updated rapid risk assessment from ECDC on the risk related to the spread of new SARS-CoV-2 variants of concern in the EU/EEA - first update.Euro Surveill2021;26

[6] COVID-19 in Iceland. Available from: https://covid.hi.is/english [Last accessed on 1 Jul 2021]

[7] How AI makes intervention recommendations. Available from: https://evolution.ml/demos/npidashboard/ [Last accessed on 1 Jul 2021]

[8] Deo RC.Machine learning in medicine.Circulation2015;132:1920-30 PMCID:PMC5831252

[9] Chen J.Artificial intelligence for COVID-19: rapid review.J Med Internet Res2020;22:e21476 PMCID:PMC7595751

[10] Hurt B,Hsiao A.Deep learning localization of pneumonia: 2019 coronavirus (COVID-19) outbreak.J Thorac Imaging2020;35:W87-9 PMCID:PMC7180130

[11] Li D,Dong J.False-negative results of real-time reverse-transcriptase polymerase chain reaction for severe acute respiratory syndrome coronavirus 2: role of deep-learning-based CT diagnosis and insights from two cases.Korean J Radiol2020;21:505-8 PMCID:PMC7082661

[12] Li L,Xu Z.Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy.Radiology2020;296:E65-71 PMCID:PMC7233473

[13] Yang Z,Wang K.Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions.J Thorac Dis2020;12:165-74 PMCID:PMC7139011

[14] Al-Najjar H.A classifier prediction model to predict the status of Coronavirus COVID-19 patients in South Korea.Eur Rev Med Pharmacol Sci2020;24:3400-3

[15] Jiang X,Bari A.Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity.2020;62:537-51

[16] Beck BR,Choi Y,Kang K.Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model.Comput Struct Biotechnol J2020;18:784-90 PMCID:PMC7118541

[17] Kadioglu O,Greten HJ.Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.Comput Biol Med2021;133:104359 PMCID:PMC8008812

[18] Richardson P,Tucker C.Baricitinib as potential treatment for 2019-nCoV acute respiratory disease.Lancet2020;395:e30-1 PMCID:PMC7137985

[19] Ton AT,Hsing M,Cherkasov A.Rapid identification of potential inhibitors of SARS-CoV-2 main protease by deep docking of 1.3 billion compounds.Mol Inform2020;39:e2000028 PMCID:PMC7228259

[20] Zhang DH,Zhang X,Peng B.In silico screening of Chinese herbal medicines with the potential to directly inhibit 2019 novel coronavirus.J Integr Med2020;18:152-8 PMCID:PMC7102521

[21] Information and statistics on vaccinations against COVID-19. Available from: https://www.covid.is/covid-19-vaccine [Last accessed on 1 Jul 2021]

[22] “Real hope” surrounding COVID vaccines “cannot be overstated” - WHO chief. Available from: https://news.un.org/en/story/2020/11/1078372 [Last accessed on 1 Jul 2021]