Information-Based Mobile Application to Tackle COVID-19 Circumstances

Main Article Content

Sakhawat Hossain
Md. Nahid Hasan
Md. Nazibul Islam
Mamunur Rashid Mukto
Md. Shahnewaz Abid
Fahima Khanam

Abstract

Internet of Medical Things (IoMT) ensures the ability of healthcare professionals by allowing them to remotely access each patient’s personalized and accurate data. The accuracy, as well as the speed of treatments and diagnosis, is greatly improved as well. IoMT also enables healthcare professionals to monitor the status of their patients’ health in real-time. The behavior of people can be recorded with the intent of getting an online diagnosis, thus managing their one’s health is more effective. Tools like sensors and tracking devices, telemedicine, remote patient monitoring (RPM) and also virtual assistance makes these things happen. Perhaps healthcare professionals are mostly benefited by IoMT in their professions. So, in the case of a pandemic (COVID-19), our proposed application can spread the facilities of IoMT among the general people. The main purpose of this application is to make a system that compresses the number of coronavirus affected people by the extent of awareness. People can track data of confirmed, recovered, and fatal cases globally and locally through this app. People can also get information about the nearest COVID-19 hospitals with google map and get their helpline numbers. All these can be very important for Bangladesh, being a developing country. They can easily make doctor appointments through the system. People can get information about plasma & blood donation and they also can donate their blood and plasma by a requesting process. Users' information about their health can be saved in the cloud system from time to time so that a doctor can easily get all the information. So, our proposed app can help to control the COVID-19 pandemic situation and people will be benefited.

Keywords:
COVID-19, coronavirus, mHealth, IOMT, RPM, FAQ, COVID myth buster.

Article Details

How to Cite
Hossain, S., Hasan, M. N., Islam, M. N., Mukto, M. R., Abid, M. S., & Khanam, F. (2021). Information-Based Mobile Application to Tackle COVID-19 Circumstances. Journal of Scientific Research and Reports, 27(1), 78-92. https://doi.org/10.9734/jsrr/2021/v27i130351
Section
Original Research Article

References

Dashraath P, Jing Lin Jeslyn W, Mei Xian Karen L, Li Min L, Sarah L, Biswas A et al. Coronavirus Disease 2019 (COVID-19) Pandemic and Pregnancy. American Journal of Obstetrics and Gynecology; 2020.
DOI:10.1016/j.ajog.2020.03.021

Khanam Fahima, Nowrin Itisha, Mondal M Rubaiyat. Data Visualization and Analyzation of COVID-19. Journal of Scientific Research and Reports. 2020;26: 42-52.
DOI: 10.9734/jsrr/2020/v26i330234

How COVID-19 spreads.
Available:who.int.https://www.who.int/health-topics/coronavirus#tab=tab_1
Accessed February 10, 2021.

Coronavirus Cases in COVID-19 pandemic.
Available:worldometers.info.https://www.worldometers.info/coronavirus/?utm_campaign=homeAdUOA?Si
Accessed January 8, 2021.

WHO Declares COVID-19 a Pandemic.
Available:europepmc.org.https://europepmc.org/article/pmc/pmc7569573
Accessed November 8, 2020

Ahuja, Abhimanyu & Amp; Reddy, Vineet & Marques, Oge. Artificial Intelligence and COVID-19: A Multidisciplinary Approach. Integrative Medicine Research; 2020.
DOI:100434.10.1016/j.imr.2020.100434

Vaishya Raju, Javaid Mohd, Khan Ibrahim, Haleem Abid. Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 2020;14.
DOI.org/10.1016/j.dsx.2020.04.012

Singh Ravi Pratap, Mohd Javaid, Abid Haleem, Rajiv Suman. Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews; 2020.
DOI.org/10.1016/j.dsx.2020.04.041

Pratap Singh R, Javaid M, Haleem A, Vaishya R, Ali S. Internet of Medical Things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications. Journal of Clinical Orthopaedics and Trauma; 2020.
DOI.org/10.1016/j.jcot.2020.05.011

Swapnarekha Hanumanthu. Role of intelligent computing in COVID-19 prognosis: A state -of-the-art review, Chaos, Solitons and Fractals; 2020.
DOI.org/10.1016/j.chaos.2020.109947

Raphael B. Overview of the development of psychological support in emergencies. Advances in Disaster Mental Health and Psychological Support. 2006:6.

Jiloha RC. COVID-19 and mental health. Epidemiology International. 2020;5(1):7-9.
E-ISSN: 2455-7048.

Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of Biomedical Informatics. 2016;60:243-251.
DOI: 10.1016/j.jbi.2016.02.002

Islam MN, Islam I, Munim KM, Islam AN. A review on the mobile applications developed for COVID-19: An exploratory analysis. IEEE. 2020;8:145601-145610.
DOI: 10.1109/ACCESS.2020.3015102

Fischer-Hübner S. IT-security and privacy: design and use of privacy-enhancing security mechanisms (No. 1958). Springer Science and Business Media; 2001.
DOI: 10.1007/3-540-45150-1

Hirose R, Ikegaya H, Naito Y, Watanabe N, Yoshida T, Bandou R et al. Survival of SARS-CoV-2 and influenza virus on the human skin: Importance of hand hygiene in COVID-19. Clinical Infectious Diseases; 2020.
DOI: 10.1093/cid/ciaa1517

Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S et al. Mental health problems and social media exposure during COVID-19 Outbreak. Plos One. 2020;15(4): e0231924.
DOI: 10.1371/journal.pone.0231924

Wixom BH, Todd PA. A theoretical integration of user satisfaction and technology acceptance. Information systems research. 2005;16(1): 85-102.
DOI: 10.1287/isre.1050.0042

Zakaria N, Stanton JM. Sarkar‐Barney ST. Designing and implementing culturally‐sensitive IT applications. Information Technology and People; 2003.
DOI: 10.1108/09593840310463023

Color contrast - Android Accessibility Help.
Available:https://support.google.com/accessibility/android/answer/7158390?hl=en, note =
Accessed December 13, 2020.

Understanding Success Criterion 1.4.3 | Understanding WCAG 2.0 W3.ORG.
Available:https://www.w3.org/TR/UNDERSTANDING-WCAG20/visual-audio-contrast-contrast.html
Accessed December 13, 2020.

Sparks Theresa Marie. The effects of color choice in web design on the usability for individuals with color-blindness MSU Graduate Theses. 2019;3352.
Available:https://bearworks.missouristate.edu/theses/3352.

Strizver I. Type Rules: The designer's guide to professional typography. John Wiley and Sons; 2013.

Saad KM, Idris MZ. The effectiveness of typography in packaging design for SMEs food industries. In 1st International Conference on Creative Media, Design and Technology; 2014.

Understanding Typography – Material Design.
Available:https://material.io/design/typography/understanding-typography.html#type-properties
Accessed December 13, 2020.

Fundamentals of hierarchy in user interface design (UI).
Available:https://medium.com/swlh/fundamentals-of-hierarchy-in-interface-design-ui-ba8e3017dceb
Accessed December 13, 2020.

Corona Tracer BD.
Available:https://play.google.com/store/apps/details?id=com.shohoz.tracer&hl=en&gl=US
Accessed January 4, 2021.

Corona BD.
Available:https://play.google.com/store/apps/details?id=com.bs.ccc&hl=en&gl=US,
Accessed January 4, 2021.

Corona-Warn-App.
Available:https://play.google.com/store/apps/details?id=de.rki.coronawarnapp&hl=en&gl=US
Accessed January 4, 2021.

CoronaMelder.
Available:https://play.google.com/store/apps/details?id=nl.rijksoverheid.en&hl=en&gl=US
Accessed January 4, 2021.

CMED Agent.
Available:https://play.google.com/store/apps/details?id=bd.com.cmed.agent&hl=en&gl=US
Accessed January 8, 2021.

HealthLynked COVID-19 Tracker
Available:https://apps.apple.com/us/app/healthlynked-COVID-19-tracker/id1500575377
Accessed January 8, 2021.

World Virus Watch.
Available:https://apkpure.com/world-virus-watch/com.ironleft.corona
Accessed January 8, 2021.

COVID Live Tracker – Corona Virus Pocket Guide.
Available:https://apkpure.com/covid-live-tracker-corona-virus-pocket-guide/studio.coronavirus.covid19
Accessed January 8, 2021.

Helponymous: Corona-Virus Chat.
Available:https://download.cnet.com/Helponymous-Corona-Virus-Chat/3000-2129_4-78426969.html
Accessed January 8, 2021.

COVID-19 Sounds .
Available:https://play.google.com/store/apps/details?id=uk.ac.cam.cl.covid19sounds
Accessed January 8, 2021.

Apple COVID-19
Available:https://apps.apple.com/us/app/apple-COVID-19/id1504132184
Accessed January 8, 2021.

COVA Punjab.
Available:https://play.google.com/store/apps/details?id=in.gov.punjab.cova&hl=en&gl=US
Accessed January 8, 2021.

Coronavirus Australia.
Available:https://play.google.com/store/apps/details?id=au.gov.health.covid19&hl=en&gl=US
Accessed January 8, 2021.

Roba Abbas, Katina Michael. COVID-19 contact trace app deployments: learnings from Australia and Singapore. IEEE Consumer Electronics Magazine. 2020;9(5):65-70.
DOI: 10.1109/MCE.2020.3002490

Chimmula VKR, & Zhang L. Time series forecasting of COVID-19 transmission in Canada Using LSTM Networks. Chaos, Solitons & Fractals. 2020;109864.
DOI: 10.1016/j.chaos.2020.109864

Nadeem Ahmed, Regio A*, Michelin Wanli X. A survey of COVID-19 contact tracing apps. IEEE. 2020;8:134577-134601.
DOI: 10.1109/ACCESS.2020.3010226

Abuhammad S, Khabour OF, & Alzoubi KH. COVID-19 Contact-Tracing Technology: Acceptability and Ethical Issues of Use. Patient Preference and Adherence. 2020;14: 1639–1647.
DOI: 10.2147/ppa.s276183

Samuel Altmann, Luke Milsom, Hannah Zillessen, Raffaele Blasone, Frederic Gerdon, Ruben Bach et al. Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study. JMIR; mHealth and uHealth. 2020;8(8): 19857.
DOI: 10.2196/19857

Kumar A, Gupta PK, & Srivastava A. A review of modern technologies for tackling COVID-19 pandemic. Diabetes & amp; Metabolic Syndrome: Clinical Research & amp; Reviews. 2020;14(4): 569–573.
DOI: 10.1016/j.dsx.2020.05.008