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For: Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. Nat Med. 2020;26:459-461. [PMID: 32284618 DOI: 10.1038/s41591-020-0824-5] [Cited by in Crossref: 688] [Cited by in F6Publishing: 718] [Article Influence: 229.3] [Reference Citation Analysis]
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1 Nguyen LH, Pham NT, Do VH, Nguyen LT, Nguyen TT, Nguyen H, Nguyen ND, Nguyen TT, Nguyen SD, Bhatti A, Lim CP. Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst Appl 2023;213:119212. [PMID: 36407848 DOI: 10.1016/j.eswa.2022.119212] [Reference Citation Analysis]
2 Singh A, Madaan G, Swapna HR, Kumar A. Impact of Artificial Intelligence on Human Capital in Healthcare Sector Post-COVID-19. The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A 2023. [DOI: 10.1108/978-1-80382-027-920231003] [Reference Citation Analysis]
3 Yang DM, Chang TJ, Hung KF, Wang ML, Cheng YF, Chiang SH, Chen MF, Liao YT, Lai WQ, Liang KH. Smart healthcare: A prospective future medical approach for COVID-19. J Chin Med Assoc 2023;86:138-46. [PMID: 36227021 DOI: 10.1097/JCMA.0000000000000824] [Reference Citation Analysis]
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5 Huang DW, Liu B, Bi J, Wang J, Wang M, Wang H. A coalitional game-based joint monitoring mechanism for combating COVID-19. Comput Commun 2023;199:168-76. [PMID: 36589785 DOI: 10.1016/j.comcom.2022.12.020] [Reference Citation Analysis]
6 Andrulli R, Gerards R. How new ways of working during COVID-19 affect employee well-being via technostress, need for recovery, and work engagement. Comput Human Behav 2023;139:107560. [PMID: 36405876 DOI: 10.1016/j.chb.2022.107560] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Panja S, Chattopadhyay AK, Nag A, Singh JP. Fuzzy-logic-based IoMT framework for COVID19 patient monitoring. Comput Ind Eng 2023;176:108941. [PMID: 36589280 DOI: 10.1016/j.cie.2022.108941] [Reference Citation Analysis]
8 Teo ZL, Ting DSW. Non-fungible tokens for the management of health data. Nat Med 2023. [PMID: 36690812 DOI: 10.1038/s41591-022-02125-2] [Reference Citation Analysis]
9 Latham E. Food in tourism in a time of critical shift: four reflexive case studies in Aotearoa New Zealand. JEC 2023. [DOI: 10.1108/jec-10-2022-0143] [Reference Citation Analysis]
10 Tan JPY, Tan WJM, Towle RM, Lee JSW, Lei X, Liu Y, Goh RSM, Tan CPF, Tan TC, Ting DSW, Lee CE, Low LL. mHealth Application to Facilitate Remote Care for Patients with COVID-19: Rapid Development of the DrCovid. JMIR Form Res 2023. [PMID: 36649223 DOI: 10.2196/38555] [Reference Citation Analysis]
11 Zhang G, Song J, Feng Z, Zhao W, Huang P, Liu L, Zhang Y, Su X, Wu Y, Cao Y, Li Z, Jie Z. Artificial intelligence applicated in gastric cancer: A bibliometric and visual analysis via CiteSpace. Front Oncol 2022;12:1075974. [PMID: 36686778 DOI: 10.3389/fonc.2022.1075974] [Reference Citation Analysis]
12 Teo ZL, Ting DSW. AI telemedicine screening in ophthalmology: health economic considerations. The Lancet Global Health 2023. [DOI: 10.1016/s2214-109x(23)00037-2] [Reference Citation Analysis]
13 Bobby Krishna TM. Big Data Digital Transformation in Food Safety: A Dubai Experience. Food Microbiology and Food Safety 2023. [DOI: 10.1007/978-3-031-07179-9_8] [Reference Citation Analysis]
14 Mora-rivera J, García-mora F, Quevedo NV. Internet Access and Educational Backwardness in the Times of the COVID-19 Pandemic: Evidence from Mexico’s Rural Households. Perspectives and Trends in Education and Technology 2023. [DOI: 10.1007/978-981-19-6585-2_32] [Reference Citation Analysis]
15 Kevany S, Kirk A. Fortress Ireland. Outbreaks, Epidemics, and Health Security 2023. [DOI: 10.1016/b978-0-323-91705-6.00007-1] [Reference Citation Analysis]
16 Beri R, Kumar R. An Exploratory Study on Internet of Things for Covid-19 Pandemic. Emerging Technologies in Data Mining and Information Security 2023. [DOI: 10.1007/978-981-19-4193-1_27] [Reference Citation Analysis]
17 Shukla S, Shyam K. Leveraging Blockchain for sustainability and supply chain resilience in e-commerce channels for additive manufacturing: A cognitive analytics management framework-based assessment. Computers & Industrial Engineering 2023. [DOI: 10.1016/j.cie.2023.108995] [Reference Citation Analysis]
18 Agarwal P, Idrees SM, Obaid AJ, Abdulbaqi AS, Mahmood SD. An Effective Diagnostic Framework for COVID-19 Using an Integrated Approach. Lecture Notes in Networks and Systems 2023. [DOI: 10.1007/978-981-19-1412-6_11] [Reference Citation Analysis]
19 Liu Z, Zhou J, Li J. How do family firms respond strategically to the digital transformation trend: Disclosing symbolic cues or making substantive changes? Journal of Business Research 2023;155:113395. [DOI: 10.1016/j.jbusres.2022.113395] [Reference Citation Analysis]
20 Clement J, Esposito G, Crutzen N. Municipal Pathways in Response to COVID-19: A Strategic Management Perspective on Local Public Administration Resilience. Adm Soc 2023;55:3-29. [PMID: 36606211 DOI: 10.1177/00953997221100382] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Ennouri K, Smaoui S, Ben Braiek O, Triki MA. Using geospatial technologies to manage COVID-19. Agricultural Bioeconomy 2023. [DOI: 10.1016/b978-0-323-90569-5.00014-7] [Reference Citation Analysis]
22 Dhaliwal A. Adopting 5G-Enabled E-Healthcare for Collaborative Pandemic Management. International Journal of e-Collaboration 2023;19:1-18. [DOI: 10.4018/ijec.315781] [Reference Citation Analysis]
23 Peker I, Ar IM, Erol I, Searcy C. Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework. Oper Manag Res 2022. [DOI: 10.1007/s12063-022-00340-1] [Reference Citation Analysis]
24 Barbosa KDA, Sousa MDM, Nacife JM, Novak SS. Innovations in courts: Validation of a scale of technological innovation. R G Secr 2022;13:2314-2336. [DOI: 10.7769/gesec.v13i4.1474] [Reference Citation Analysis]
25 Schubert TJ, Clegg K, Karalis D, Desai NR, Marrs JC, McNeal C, Mintz GL, Romagnoli KM, Jones LK. Impact of telehealth on the current and future practice of lipidology: a scoping review. J Clin Lipidol 2022:S1933-2874(22)00338-5. [PMID: 36577629 DOI: 10.1016/j.jacl.2022.12.003] [Reference Citation Analysis]
26 Shin W, Choi B. Digital Competency, Innovative Medical Research, and Institutional Environment: A Global Context. Sustainability 2022;14:16887. [DOI: 10.3390/su142416887] [Reference Citation Analysis]
27 Bichard E, McKeever S, Wray J, Bench S. Research behind a webcam: an exploration of virtual interviewing with children and young people. Nurse Res 2022;30:39-46. [PMID: 36468178 DOI: 10.7748/nr.2022.e1857] [Reference Citation Analysis]
28 Rowe F, Calafiore A, Arribas‐bel D, Samardzhiev K, Fleischmann M. Urban exodus? Understanding human mobility in Britain during the COVID‐19 pandemic using Meta‐Facebook data. Population Space and Place 2022. [DOI: 10.1002/psp.2637] [Reference Citation Analysis]
29 Razzaq A, Mohsan SAH, Ghayyur SAK, Al-Kahtani N, Alkahtani HK, Mostafa SM. Blockchain in Healthcare: A Decentralized Platform for Digital Health Passport of COVID-19 Based on Vaccination and Immunity Certificates. Healthcare (Basel) 2022;10. [PMID: 36553977 DOI: 10.3390/healthcare10122453] [Reference Citation Analysis]
30 Kim D, Kim N, Oh C, Jang J, Nho H, Park S. Effect of a Taekwondo Academy’s Technology-Based Self-Service on Perceived Value and Intention to Use Continuously in the Interaction between Humans and Technology. Applied Sciences 2022;12:12420. [DOI: 10.3390/app122312420] [Reference Citation Analysis]
31 Lee M, Mun H, Kang S. Prediction of Health Problems Using Deep Learning Images and Bio-Signals. Applied Sciences 2022;12:12457. [DOI: 10.3390/app122312457] [Reference Citation Analysis]
32 Shen J, Ghatti S, Levkov NR, Shen H, Sen T, Rheuban K, Enfield K, Facteau NR, Engel G, Dowdell K. A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine. Front Artif Intell 2022;5. [DOI: 10.3389/frai.2022.1034732] [Reference Citation Analysis]
33 Teo ZL, Ting DSW. Eyeing severe diabetes upfront. Nat Biomed Eng 2022;6:1321-2. [PMID: 35411115 DOI: 10.1038/s41551-022-00879-1] [Reference Citation Analysis]
34 Strilets V, Frolov S, Datsenko V, Tymoshenko O, Yatsko M. State support for the digitalization of SMEs in European countries. Problems and Perspectives in Management 2022;20:290-305. [DOI: 10.21511/ppm.20(4).2022.22] [Reference Citation Analysis]
35 Renati R, Bonfiglio NS, Rollo D. Dealing with Loved Ones' Addiction: Development of an App to Cope with Caregivers' Stress. Int J Environ Res Public Health 2022;19. [PMID: 36498025 DOI: 10.3390/ijerph192315950] [Reference Citation Analysis]
36 Bayramov SV, Kookueva V, Kolobov A, Tsvetkova L. Innovative Business Models in the Context of Organizational Culture Transformation in the COVID-19 Pandemic. Public Organiz Rev 2022. [DOI: 10.1007/s11115-022-00688-9] [Reference Citation Analysis]
37 Ozsahin DU, Isa NA, Uzun B. The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis. Diagnostics (Basel) 2022;12. [PMID: 36552949 DOI: 10.3390/diagnostics12122943] [Reference Citation Analysis]
38 Ben-zvi T, Luftman J. Post-Pandemic IT: Digital Transformation and Sustainability. Sustainability 2022;14:15275. [DOI: 10.3390/su142215275] [Reference Citation Analysis]
39 Assidi M, Buhmeida A, Budowle B. Medicine and health of 21st Century: Not just a high biotech-driven solution. npj Genom Med 2022;7:67. [DOI: 10.1038/s41525-022-00336-7] [Reference Citation Analysis]
40 Wu M, Li C, Shen Z, He S, Tang L, Zheng J, Fang Y, Li K, Cheng Y, Shi Z, Sheng G, Liu Y, Zhu J, Ye X, Chen J, Chen W, Li L, Sun Y, Chen J. Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data. Commun Phys 2022;5:270. [DOI: 10.1038/s42005-022-01045-4] [Reference Citation Analysis]
41 Bricout J, Greer J, Fields N, Xu L, Tamplain P, Doelling K, Sharma B. The "humane in the loop": Inclusive research design and policy approaches to foster capacity building assistive technologies in the COVID-19 era. Assist Technol 2022;34:644-52. [PMID: 34048326 DOI: 10.1080/10400435.2021.1930282] [Reference Citation Analysis]
42 Batani J, Maharaj MS. Towards data-driven models for diverging emerging technologies for maternal, neonatal and child health services in Sub-Saharan Africa: a systematic review. Global Health Journal 2022. [DOI: 10.1016/j.glohj.2022.11.003] [Reference Citation Analysis]
43 Dinmohammadi M, Mohammadi S, taherkhani M, yadegary MA. Factors contributing to coronavirus disease 2019 vaccine hesitancy among healthcare workers in Iran: A descriptive-analytical study. Clinical Epidemiology and Global Health 2022. [DOI: 10.1016/j.cegh.2022.101182] [Reference Citation Analysis]
44 Chantziara S, Brigden L C A, Mccallum CH, Craddock IJ. Using Digital Tools for Contact Tracing to Improve COVID-19 Safety in Schools: Qualitative Study Exploring Views and Experiences Among School Staff. JMIR Form Res 2022;6:e36412. [PMID: 36191172 DOI: 10.2196/36412] [Reference Citation Analysis]
45 Yu B, Zhou L, Zhang X, Hu G, Min H, Qiu Y, Huang T, Wang Y, Zhu M, Yu H. Respiration-Mediated Self-Switched Triboelectric Nanogenerator for Wearable Point-of-Care Prevention and Alarm of Asthma. Nano Energy 2022. [DOI: 10.1016/j.nanoen.2022.108058] [Reference Citation Analysis]
46 Sierotowicz T. The Impact of the COVID-19 Pandemic on the Profitability Performance of Leading ICT Enterprises. Global Business Review 2022. [DOI: 10.1177/09721509221124791] [Reference Citation Analysis]
47 Ali FI, Ali TE, Hamad AH. Telemedicine Framework in COVID-19 Pandemic. 2022 International Conference on Engineering and Emerging Technologies (ICEET) 2022. [DOI: 10.1109/iceet56468.2022.10007389] [Reference Citation Analysis]
48 Kashiripoor MM. Smart urbanism during the COVID-19 pandemic. Vestnik Tomskogo gosudarstvennogo arhitekturno-stroitelnogo universiteta 2022;24:23-37. [DOI: 10.31675/1607-1859-2022-24-5-23-37] [Reference Citation Analysis]
49 Amidu M, Akakpo AA, Mensah JK, Asiedu E. Gender, digital financial services and vulnerability in the era of pandemics: A cross-sectional analysis. F1000Res 2022;11:1218. [DOI: 10.12688/f1000research.111232.1] [Reference Citation Analysis]
50 Gunasekeran DV, Zheng F, Lim GYS, Chong CCY, Zhang S, Ng WY, Keel S, Xiang Y, Park KH, Park SJ, Chandra A, Wu L, Campbel JP, Lee AY, Keane PA, Denniston A, Lam DSC, Fung AT, Chan PRV, Sadda SR, Loewenstein A, Grzybowski A, Fong KCS, Wu WC, Bachmann LM, Zhang X, Yam JC, Cheung CY, Pongsachareonnont P, Ruamviboonsuk P, Raman R, Sakamoto T, Habash R, Girard M, Milea D, Ang M, Tan GSW, Schmetterer L, Cheng CY, Lamoureux E, Lin H, van Wijngaarden P, Wong TY, Ting DSW. Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective. Front Med (Lausanne) 2022;9:875242. [PMID: 36314006 DOI: 10.3389/fmed.2022.875242] [Reference Citation Analysis]
51 Lichy J, Ng W. Digital disruption in a state-controlled ecosystem: A sociomaterial perspective of public use of the internet under China's Social Credit System. Technological Forecasting and Social Change 2022;183:121948. [DOI: 10.1016/j.techfore.2022.121948] [Reference Citation Analysis]
52 Santarsiero F, Schiuma G, Carlucci D, Helander N. Digital transformation in healthcare organisations: The role of innovation labs. Technovation 2022. [DOI: 10.1016/j.technovation.2022.102640] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
53 Platzky Miller J, Sander A, Srinivasan S. Control, Extract, Legitimate: COVID‐19 and Digital Techno‐opportunism across Africa. Development and Change. [DOI: 10.1111/dech.12734] [Reference Citation Analysis]
54 Akpan-obong PI, Trinh MP, Ayo CK, Oni A. E-Governance as good governance? evidence from 15 West African countries. Information Technology for Development. [DOI: 10.1080/02681102.2022.2123770] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
55 Adel K, Elhakeem A, Marzouk M. Blockchain and Artificial Intelligence: Scientometric Analysis and Visualization.. [DOI: 10.21203/rs.3.rs-2058052/v1] [Reference Citation Analysis]
56 Saeidnia HR, Kozak M, Ausloos M, Herteliu C, Mohammadzadeh Z, Ghorbi A, Karajizadeh M, Hassanzadeh M. Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study. JMIR Form Res 2022;6:e39718. [DOI: 10.2196/39718] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
57 Salimian S, Mousavi SM. A Multi-Criteria Decision-Making Model with Interval-Valued Intuitionistic Fuzzy Sets for Evaluating Digital Technology Strategies in COVID-19 Pandemic Under Uncertainty. Arab J Sci Eng. [DOI: 10.1007/s13369-022-07168-8] [Reference Citation Analysis]
58 Shin W. Evenly Is Even Better? Digital Competitiveness and the Quality of Medical Research. Sustainability 2022;14:11048. [DOI: 10.3390/su141711048] [Reference Citation Analysis]
59 Anser MK, Ahmad M, Khan MA, Nassani AA, Askar SE, Zaman K, Abro MMQ, Kabbani A. Prevention of COVID-19 pandemic through technological innovation: ensuring global innovative capability, absorptive capacity, and adaptive healthcare competency. Int J Environ Sci Technol . [DOI: 10.1007/s13762-022-04494-0] [Reference Citation Analysis]
60 Fiorini L, Rovini E, Russo S, Toccafondi L, D'Onofrio G, Cornacchia Loizzo FG, Bonaccorsi M, Giuliani F, Vignani G, Sancarlo D, Greco A, Cavallo F. On the Use of Assistive Technology during the COVID-19 Outbreak: Results and Lessons Learned from Pilot Studies. Sensors (Basel) 2022;22:6631. [PMID: 36081090 DOI: 10.3390/s22176631] [Reference Citation Analysis]
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62 Liu X, Kortoçi P, Motlagh NH, Nurmi P, Tarkoma S. A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention. Multimodal Transportation 2022;1:100030. [DOI: 10.1016/j.multra.2022.100030] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
63 Li W, Long Y. Smart technologies for fighting against pandemics: Observations from China during COVID-19. Transactions in Urban Data, Science, and Technology 2022;1:105-120. [DOI: 10.1177/27541231221127152] [Reference Citation Analysis]
64 Adams SD, Valentine A, Bucknall TK, Kouzani AZ. Technologies for Fever Screening in the Time of COVID-19: A Review. IEEE Sensors J 2022;22:16720-9. [DOI: 10.1109/jsen.2021.3105962] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
65 Yazdi F, Rasoulyan F, Mirnezami SR. Does digital technology adoption affect COVID-19 health outcomes? A quantitative analysis on the global level. IJHRH 2022. [DOI: 10.1108/ijhrh-07-2021-0141] [Reference Citation Analysis]
66 Kiran Kumar K., Gudivada VK, Panneer Selvam M., Thimmaiah BC, Bonthu K, Thakur RN. A Role of Artificial Intelligence in Healthcare Data for Diabetic People Affected by COVID-19. International Journal of Operations Research and Information Systems 2022;13:1-13. [DOI: 10.4018/ijoris.306196] [Reference Citation Analysis]
67 Zhang C, Liao WF, Ma YM, Liang CY. Research on older people's health information search behavior based on risk perception in social networks-A case study in China during COVID-19. Front Public Health 2022;10:946742. [PMID: 36033751 DOI: 10.3389/fpubh.2022.946742] [Reference Citation Analysis]
68 Shanbehzadeh M, Nopour R, Kazemi-Arpanahi H. Internet of Things (IoT) Adoption Model for Early Identification and Monitoring of COVID-19 Cases: A Systematic Review. Int J Prev Med 2022;13:112. [PMID: 36247189 DOI: 10.4103/ijpvm.IJPVM_667_20] [Reference Citation Analysis]
69 Wachnik B, Krupa A, Santarek K. A Comparative Analysis of the Acquisition Transaction of Management Information Systems through Virtual and Face-to-Face Negotiations—The Perspective of Green IT Industry in Poland. Sustainability 2022;14:9531. [DOI: 10.3390/su14159531] [Reference Citation Analysis]
70 Shapiro M, Landau R, Shay S, Kaminski M, Verhovsky G. Early Detection of COVID-19 outbreaks using Textual Analysis of Electronic Medical Records. Journal of Clinical Virology 2022. [DOI: 10.1016/j.jcv.2022.105251] [Reference Citation Analysis]
71 Rosa-bilbao J, Boubeta-puig J, Rutle A. EDALoCo: Enhancing the accessibility of blockchains through a low-code approach to the development of event-driven applications for smart contract management. Computer Standards & Interfaces 2022. [DOI: 10.1016/j.csi.2022.103676] [Reference Citation Analysis]
72 Calderari EB, Vianna FRPM, Meneghetti FK. PROFESSORES O TEMPO TODO: UM ESTUDO SOBRE AS CONDIÇÕES MATERIAIS, FÍSICAS E PSICOLÓGICAS DE DOCENTES NO ENSINO SUPERIOR DURANTE A PANDEMIA DO COVID-19. REAd Rev eletrôn adm (Porto Alegre) 2022;28:487-524. [DOI: 10.1590/1413-2311.356.112251] [Reference Citation Analysis]
73 Benis A, Grosjean J, Billey K, Gustavo Montanha Meireles Martins J, Dornauer V, Crisan-vida M, Hackl WO, Stoicu-tivadar L, Darmoni S. Medical Informatics and Digital Health Multilingual Ontology (MIMO): a tool to improve international collaborations. International Journal of Medical Informatics 2022. [DOI: 10.1016/j.ijmedinf.2022.104860] [Reference Citation Analysis]
74 Abd El-haleem AM, Mohamed NEM, Abdelhakam MM, Elmesalawy MM. A Machine Learning Approach for Movement Monitoring in Clustered Workplaces to Control COVID-19 Based on Geofencing and Fusion of Wi-Fi and Magnetic Field Metrics. Sensors 2022;22:5643. [DOI: 10.3390/s22155643] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
75 Akimkin VG, Popova AY, Ploskireva AA, Ugleva SV, Semenenko TA, Pshenichnaya NY, Ezhlova EB, Letyushev AN, Demina YV, Kuzin SN, Dubodelov DV, Khafizov KF, Zavolozhin VА, Andreeva EA, Mikailova OM, Dyatlov IA, Kutyrev VV, Trotsenko OE, Balakhonov SV, Rudakov NV, Kulichenko AN, Maksyutov RA, Totolyan AA, Noskov AK, Zaitseva NN, Ananyev VY, Kovalev EV, Moldovanov VV, Voronin EM, Kravtsova OA, Glazov MB, Ostroushko AA, Gasanov GA, Svanadze NK, Korabelnikova MI, Klushkina VV, Cherkashina AS, Mironov KO, Esman AS, Sycheva NV, Ovchinnikova VS, Lukyanov AV, Muradova AA. COVID-19: the evolution of the pandemic in Russia. Report I: manifestations of the COVID-19 epidemic process. Zhurnal mikrobiologii, èpidemiologii i immunobiologii 2022;99:269-286. [DOI: 10.36233/0372-9311-276] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
76 Shakor AM. When Wireless Technologies Faces COVID-19: via Apps using to Combat the Pandemic and Save the Economy. Tikrit j eng sci 2022;29:41-50. [DOI: 10.25130/tjes.29.2.6] [Reference Citation Analysis]
77 Gao J, Fan C, Chen B, Fan Z, Li L, Wang L, Ma Q, He X, Zhai Y, Zhao J. Telemedicine Is Becoming an Increasingly Popular Way to Resolve the Unequal Distribution of Healthcare Resources: Evidence From China. Front Public Health 2022;10:916303. [PMID: 35874991 DOI: 10.3389/fpubh.2022.916303] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
78 Gianquintieri L, Brovelli MA, Pagliosa A, Dassi G, Brambilla PM, Bonora R, Sechi GM, Caiani EG. Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning. Int J Environ Res Public Health 2022;19:9012. [PMID: 35897382 DOI: 10.3390/ijerph19159012] [Reference Citation Analysis]
79 Nunes N, Adamo G, Ribeiro M, R Gouveia B, Rubio Gouveia E, Teixeira P, Nisi V. Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology. JMIR Hum Factors 2022;9:e35434. [PMID: 35862671 DOI: 10.2196/35434] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
80 Mishra AK, Mandadi M, Misra AK, Kesharwani A. Emergency responses of Indian smart cities during the COVID-19 pandemic. Journal of Urban Affairs. [DOI: 10.1080/07352166.2022.2057320] [Reference Citation Analysis]
81 Sun H, Lim V, Low J, Kee S. The Development of a Parental Questionnaire (QQ-MediaSEED) on Bilingual Children's Quantity and Quality of Digital Media Use at Home. Acta Psychol (Amst) 2022;229:103668. [PMID: 35843199 DOI: 10.1016/j.actpsy.2022.103668] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
82 Laurino M, Arcarisi L, Brutti F, Giannetti F, Marinai C, Bufano P, Carbonaro N, Menicucci D, Benvenuti C, Tognetti A. An Innovative Sensorized Face Mask for Early Detection of Physiological Changes Associated with Viral Infection. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022. [DOI: 10.1109/embc48229.2022.9871775] [Reference Citation Analysis]
83 . 3a edizione Giornate della ricerca scientifica e delle esperienze professionali dei giovani: Società Italiana di Igiene, Medicina Preventiva e Sanità Pubblica (SItI) 25-26 marzo 2022. J Prev Med Hyg 2022;63:E1-E57. [PMID: 36017074 DOI: 10.15167/2421-4248/jpmh2022.63.1s1] [Reference Citation Analysis]
84 Kuzior A, Sira M. A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability 2022;14:8206. [DOI: 10.3390/su14138206] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
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