(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-8 Issue-77 April-2021
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Paper Title : A review of mobile applications developed by academics for COVID-19
Author Name : Zainab Hameed Alfayez
Abstract :

Mobile applications have the characteristics of being available, acceptable, and easy to use. They offer a unique opportunity for remote communication in which to promote a social distancing strategy that has been taken to mitigate the rapid spread of COVID-19. Therefore, health organizations, governments, and academics have built mobile applications to potentially combat the pandemic. However, academics have made special efforts in the fight against the novel disease. The aim of this review is to explore the mobile applications being developed by academics to help manage the COVID-19 pandemic. To achieve this aim, firstly, the related applications were selected through conducting a search in the top indexed journals. Secondly, the goal of each app was identified. Thirdly, the technology used to achieve the app's goal was extracted. The review results revealed four goals for applications related to COVID-19, and eight technologies were utilised to achieve these goals. The significant finding of this review is that academics mostly depend on manual rather than automated data collection methods due to the users’ concerns about protecting their privacy. However, they still face the challenge of unskilled users of smart phones especially older adults.

Keywords : COVID-19, Coronavirus, Mobile applications, Mobile apps, Mhealth, Academics.
Cite this article : Alfayez ZH. A review of mobile applications developed by academics for COVID-19. International Journal of Advanced Technology and Engineering Exploration. 2021; 8(77):529-536. DOI:10.19101/IJATEE.2021.874058.
References :
[1]https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid. Accessed 10 October 2020.
[2]Singhal T. A review of coronavirus disease-2019 (COVID-19). The Indian Journal of Pediatrics. 2020; 87(4):281-6.
[Crossref] [Google Scholar]
[3]https://www.gov.uk/government/%0Apublications/coronavirus-action-plan. Accessed 10 October 2020.
[4]Islam MN, Islam I, Munim KM, Islam AN. A review on the mobile applications developed for COVID-19: an exploratory analysis. IEEE Access. 2020; 8:145601-10.
[Crossref] [Google Scholar]
[5]Nayak S, Blumenfeld NR, Laksanasopin T, Sia SK. Point-of-care diagnostics: recent developments in a connected age. Analytical chemistry. 2017; 89(1):102-23.
[Crossref] [Google Scholar]
[6]Hui M. Singapore wants all its citizens to download contact tracing apps to fight the coronavirus. Link: https://qz. com/1842200/singapore-wants-everyone-to-download-covid-19-contact-tracing-apps/. Last accessed on. 2020.
[Google Scholar]
[7]https://www.straitstimes.com/singapore. Accessed 10 October 2020.
[8]Ming LC, Untong N, Aliudin NA, Osili N, Kifli N, Tan CS, et al. Mobile health apps on COVID-19 launched in the early days of the pandemic: content analysis and review. JMIR mHealth and uHealth. 2020; 8(9):e19796.
[Crossref] [Google Scholar]
[9]Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of Clinical Epidemiology. 2009; 62(10):e1-34.
[Crossref] [Google Scholar]
[10]Yamamoto K, Takahashi T, Urasaki M, Nagayasu Y, Shimamoto T, Tateyama Y, et al. Health observation app for COVID-19 symptom tracking integrated with personal health records: proof of concept and practical use study. JMIR mHealth and uHealth. 2020; 8(7).
[Google Scholar]
[11]Timmers T, Janssen L, Stohr J, Murk JL, Berrevoets MA. Using eHealth to support COVID-19 education, self-assessment, and symptom monitoring in the Netherlands: observational study. JMIR mHealth and uHealth. 2020; 8(6):e19822.
[Google Scholar]
[12]Bae YS, Kim KH, Choi SW, Ko T, Jeong CW, Cho B, et al. Information technology–based management of clinically healthy COVID-19 patients: lessons from a living and treatment support center operated by Seoul National University Hospital. Journal of Medical Internet Research. 2020; 22(6):e19938.
[Google Scholar]
[13]Liu Y, Wang Z, Tian Y, Zhou M, Zhou T, Ye K, Zhao Y, Qiu Y, Li J, Ren J. A COVID-19 risk assessment decision support system for general practitioners: design and development study. Journal of Medical Internet Research. 2020; 22(6):e19786.
[Crossref] [Google Scholar]
[14]McRae MP, Dapkins IP, Sharif I, Anderman J, Fenyo D, Sinokrot O, et al. Managing COVID-19 with a clinical decision support tool in a community health network: algorithm development and validation. Journal of Medical Internet Research. 2020; 22(8):e22033.
[Google Scholar]
[15]Reeves JJ, Hollandsworth HM, Torriani FJ, Taplitz R, Abeles S, Tai-Seale M, et al. Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. Journal of the American Medical Informatics Association. 2020; 27(6):853-9.
[Crossref] [Google Scholar]
[16]Liu L, Gu J, Shao F, Liang X, Yue L, Cheng Q, Zhang L. Application and preliminary outcomes of remote diagnosis and treatment during the COVID-19 outbreak: retrospective cohort study. JMIR mHealth and uHealth. 2020; 8(7):e19417.
[Google Scholar]
[17]Hur J, Chang MC. Usefulness of an online preliminary questionnaire under the COVID-19 pandemic. Journal of Medical Systems. 2020; 44:1-2.
[Crossref] [Google Scholar]
[18]Teo J. Early detection of silent hypoxia in Covid-19 pneumonia using smartphone pulse oximetry. Journal of Medical Systems. 2020; 44(8):1-12.
[Crossref] [Google Scholar]
[19]Zens M, Brammertz A, Herpich J, Südkamp N, Hinterseer M. App-based tracking of self-reported COVID-19 symptoms: analysis of questionnaire data. Journal of Medical Internet Research. 2020; 22(9):e21956.
[Google Scholar]
[20]Heo J, Sung M, Yoon S, Jang J, Lee W, Han D, et al. A patient self-checkup app for COVID-19: development and usage pattern analysis. Journal of medical Internet research. 2020; 22(11):e19665.
[Crossref] [Google Scholar]
[21]Wang S, Ding S, Xiong L. A new system for surveillance and digital contact tracing for COVID-19: spatiotemporal reporting over network and GPS. JMIR mHealth and uHealth. 2020; 8(6):e19457.
[Crossref] [Google Scholar]
[22]Cheng W, Hao C. Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications. JMIR mHealth and uHealth. 2020; 8(6):e20369.
[Google Scholar]
[23]Abeler J, Bäcker M, Buermeyer U, Zillessen H. COVID-19 contact tracing and data protection can go together. JMIR mHealth and uHealth. 2020; 8(4):e19359.
[Google Scholar]
[24]Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-peer contact tracing: development of a privacy-preserving smartphone app. JMIR mHealth and uHealth. 2020; 8(4):e18936.
[Crossref] [Google Scholar]
[25]Chen CM, Jyan HW, Chien SC, Jen HH, Hsu CY, Lee PC, et al. Containing COVID-19 among 627,386 persons in contact with the Diamond Princess cruise ship passengers who disembarked in Taiwan: big data analytics. Journal of medical Internet research. 2020; 22(5):e19540.
[Crossref] [Google Scholar]
[26]Prayaga RB, Prayaga RS. Mobile fotonovelas within a text message outreach: an innovative tool to build health literacy and influence behaviors in response to the COVID-19 Pandemic. JMIR mHealth and uHealth. 2020; 8(8):e19529.
[Crossref] [Google Scholar]
[27]Davalbhakta S, Advani S, Kumar S, Agarwal V, Bhoyar S, Fedirko E, et al. A systematic review of the smartphone applications available for coronavirus disease 2019 (COVID19) and their assessment using the mobile app rating scale (MARS). medRxiv. 2020.
[Crossref] [Google Scholar]
[28]Singh HJ, Couch D, Yap K. Mobile health apps that help with COVID-19 management: scoping review. JMIR Nursing. 2020; 3(1):e20596.
[Google Scholar]
[29]https://www.who.int/publications/i/item/WHO-2019-nCoV-Contact_Tracing-Tools_Annex-2020.1. Accessed 8 October 2020.
[30]Xu H, Gupta S. The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets. 2009; 19(2-3):137-49.
[Crossref] [Google Scholar]