Literature DB >> 32474557

An overview of mobile applications (apps) to support the coronavirus disease 2019 response in India.

Abhinav Bassi1, Sumaiya Arfin1, Oommen John1, Vivekanand Jha1.   

Abstract

BACKGROUND &
OBJECTIVES: The potential benefits of mobile health (mHealth) initiatives to manage the coronavirus disease 2019 (COVID-19) pandemic have been explored. The Government of India, State governments, and healthcare organizations have developed various mobile apps for the containment of COVID-19. This study was aimed to systematically review COVID-19 related mobile apps and highlight gaps to inform the development of future mHealth initiatives.
METHODS: Google Play and the Apple app stores were searched using the terms 'COVID-19', 'coronavirus', 'pandemic', and 'epidemic' in the first week of April 2020. A list of COVID-19-specific functions was compiled based on the review of the selected apps, the literature on epidemic surveillance, and national and international media reports. The World Health Organization guideline on Digital Health Interventions was used to classify the app functions under the categories of the general public, health workers, health system managers, and data services.
RESULTS: The search yielded 346 potential COVID-19 apps, of which 50 met the inclusion criteria. Dissemination of untargeted COVID-19-related information on preventative strategies and monitoring the movements of quarantined individuals was the function of 27 (54%) and 19 (32%) apps, respectively. Eight (16%) apps had a contact tracing and hotspot identification function. INTERPRETATION &
CONCLUSIONS: Our study highlights the current emphasis on the development of self-testing, quarantine monitoring, and contact tracing apps. India's response to COVID-19 can be strengthened by developing comprehensive mHealth solutions for frontline healthcare workers, rapid response teams and public health authorities. Among this unprecedented global health emergency, the Governments must ensure the necessary but least intrusive measures for disease surveillance.

Entities:  

Keywords:  Contact tracing - COVID-19 - India - mobile apps - mobile health - privacy - telemedicine

Mesh:

Year:  2020        PMID: 32474557      PMCID: PMC7530460          DOI: 10.4103/ijmr.IJMR_1200_20

Source DB:  PubMed          Journal:  Indian J Med Res        ISSN: 0971-5916            Impact factor:   2.375


The coronavirus disease-2019 (COVID-19) pandemic has spread to >200 countries and territories1. In the absence of a specific medical intervention, the world is reliant on public health and social measures to slow or halt the spread of COVID-19. These measures include the promotion of respiratory and hand hygiene, physical distancing for the general population, quarantines for the suspected cases, isolation and contact tracing of the infected individuals, and widespread travel bans. India reported its first case on January 30, 2020. As of May 5, 2020, there were a total of 46,433 active cases and 1568 deaths2. The Government of India imposed a nationwide lockdown on March 24, 2020, and rapidly expanded its testing, contact tracing, and home quarantine efforts. However, an unprecedented flurry of misinformation and fake news leading to panic-driven migration, hysteric buying of masks, medicines, essential household commodities and peddling of unproven treatments3. Digital technology innovations are known to present the possibility of improving the efficacy of the health system response to an epidemic456. The Ebola and Zika virus epidemics have shown the utility of mobile health (mHealth) applications (apps) for improving access to testing, contact tracing, supporting frontline healthcare workers, and raising public awareness789. Recent evidence underscores the potential of mHealth initiatives for the provision of mental health services to support the patients and healthcare providers in dealing with the psychological impact of the COVID-19 pandemic1011. Contact tracing apps have been a crucial component of COVID-19 response in countries such as China, South Korea, Singapore, the United Kingdom, and Israel121314. However, owing to the collection of users' identifiers and data related to location and Bluetooth interactions, privacy experts have raised concerns over the use of these apps. The Government of India, launched 'Aarogya Setu' mobile app for the containment of COVID-19, through contact tracing and information dissemination15. Further, various State governments and healthcare organizations have developed apps for lockdown enforcement, generating awareness and monitoring of quarantined individuals in India16. The present study was aimed to identify and systematically review COVID-19-related mobile apps in India. Another objective was to describe the functions of the apps, map those against the WHO guidelines on Digital Health Interventions and highlight gaps to inform the development of future mHealth initiatives17.

Material & Methods

The Google Play and the Apple app stores were searched using the terms 'COVID-19', 'coronavirus', 'pandemic', and 'epidemic', individually. In addition, a free-text search was run for COVID-19-related apps using the phrase 'COVID-19 mobile apps in India'. The search was conducted in the first week of April 2020 and updated on May 3, 2020. The preliminary screening of the apps was based on the app titles and full description. The games, apps without English or Hindi language user interface, and apps on infectious disease without a specific focus on COVID-19 were excluded. A list of COVID-19 specific functions was compiled based on the review of the selected apps, the literature on epidemic surveillance61819, and national and international media reports132021. The WHO guideline on Digital Health Interventions was used to classify the app functions under the categories of the clients (general public), health workers, health system managers and data services17. Information related to name, developer, target user group and COVID-19-specific function was abstracted from the selected apps. Frequencies and percentages were used to summarize the information abstracted from the apps.

Results

A total of 346 potential COVID-19 apps were identified, of which 50 met our inclusion criteria. Figure 1 provides an overview of the app selection process. The excluded apps were general infectious disease apps not focused on COVID-19 (n=141), games (n=87), or did not have an English or Hindi user interface (n=42) (Supplemetary Table for details (available from )).
Fig. 1

Screening process flowchart.

Supplemetary Table

Details of app developers and functionality assessment of the apps

App NameStateTarget User GroupCOVID-19 related app functionalities
Aarogya SetuMultiple States, developed by Government of IndiaGeneral publicPreventive measures and demystification, Self-risk assessment, Information provision through chatbots or helpline, Electronic pass for the movement of the health workers, Contact tracing, Accepting donations from contributors, Location data recording or Bluetooth handshakes
COVID-19 Quarantine Monitor Tamil Nadu (official)Tamil NaduQuarantined individualsSymptom tracker, Quarantine monitoring, Location data recording or Bluetooth handshakes
MP COVID RESPONSE APPMadhya PradeshGeneral public; Hospitals; Government authoritiesPreventive measures and demystification, Hotspot identification, Data storage, aggregation, and visualization
COVA PunjabPunjabGeneral publicAvailability of testing services and protective equipment for high-risk population, Preventive measures and demystification, Self-risk assessment, Information provision through chatbots or helpline, Notification of confirmed cases, Notification of deaths, Data storage, aggregation, and visualization, Map location of health facilities
GoK - Direct KeralaKeralaGeneral publicPreventive measures and demystification
Quarantine WatchKarnatakaQuarantined individualsQuarantine monitoring, Information provision through chatbots or helpline, Location data recording or Bluetooth handshakes
Test Yourself GoaGoaGeneral publicAvailability of testing services and protective equipment for high-risk population, Self-risk assessment, Information provision through chatbots or helpline
JaanoMultiple StatesGeneral publicAvailability of testing services and protective equipment for high-risk population, Map location of health facilities
Corona WatchKarnatakaGeneral publicPreventive measures and demystification; Information provision through chatbots or helpline; Contact tracing; Hotspot identification; Data storage; aggregation; and visualization; Map location of health facilities; Location data recording or Bluetooth handshakes
COVID19 FeedbackMultiple States, developed by Government of IndiaTested individualsUser feedback on services
MahakavachMaharashtraQuarantined individualsQuarantine monitoring; Contact tracing; Hotspot identification; Location data recording or Bluetooth handshakes
CoBuddy - Covid19 ToolMultiple StatesGeneral public; Quarantined individualsPreventive measures and demystification; Quarantine monitoring; Location data recording or Bluetooth handshakes
GCC - Corona MonitoringTamil NaduQuarantined individualsQuarantine monitoring; Location data recording or Bluetooth handshakes
KSP Clear Pass CheckerKarnatakaPolice officialsElectronic pass for the movement of the health workers
CG Covid-19 ePassChhattisgarhGeneral publicPreventive measures and demystification; Electronic pass for the movement of the health workers
Test Yourself PuducherryPuducherryGeneral publicAvailability of testing services and protective equipment for high-risk population; Self-risk assessment; Information provision through chatbots or helpline
COVID-19 West Bengal GovernmentWest BengalQuarantined individualsSymptom tracker; Quarantine monitoring; Location data recording or Bluetooth handshakes
West Bengal Emergency FundWest BengalGeneral publicAccepting donations from contributors
KavachChhattisgarhGeneral publicPreventive measures and demystification; Self-risk assessment; Notification of confirmed cases; Contact tracing; Hotspot identification; Notification of deaths; Data storage; aggregation; and visualization; Location data recording or Bluetooth handshakes
SMC COVID-19TrackerGujaratQuarantined individualsQuarantine monitoring; Location data recording or Bluetooth handshakes
NiramayaMadhya PradeshGeneral publicPreventive measures and demystification; Self-risk assessment; Information provision through chatbots or helpline; Teleconsultation and testing appointments; Notification of confirmed cases; Notification of deaths
Uttarakhand CV 19 Tracking SystemUttarakhandGeneral publicSelf-risk assessment; Information provision through chatbots or helpline
nCOVID-19 Nagaland - Visitors AppNagalandQuarantined individualsPreventive measures and demystification; Self-risk assessment; Quarantine monitoring; Information provision through chatbots or helpline; Location data recording or Bluetooth handshakes
Corona Mukt HimachalHimachal PradeshQuarantined individualsQuarantine monitoring; Location data recording or Bluetooth handshakes
UP Self- Quarantine AppUttar PradeshQuarantined individualsQuarantine monitoring; Location data recording or Bluetooth handshakes
Trackmetic-An initiative by Morigaon Police; AssamAssamGeneral publicPreventive measures and demystification; Information provision through chatbots or helpline; Contact tracing; Hotspot identification; Data storage; aggregation; and visualization; Map location of health facilities; Location data recording or Bluetooth
COVID-19 OdishaOdishaGeneral publicPreventive measures and demystification; Self-risk assessment; Notification of confirmed cases; Contact tracing; Hotspot identification; Notification of deaths; Location data recording or Bluetooth handshakes
RajCovidInfoRajasthanGeneral publicPreventive measures and demystification; Notification of confirmed cases; Notification of deaths; Data storage; aggregation; and visualization
T COVID`19TelanganaGeneral publicAvailability of testing services and protective equipment for high-risk population; Preventive measures and demystification; Self-risk assessment; Information provision through chatbots or helpline; Teleconsultation and testing appointments; Notification of confirmed cases; Notification of deaths; Data storage; aggregation; and visualization; Map location of health facilities
COPE OdishaOdishaGeneral public; Quarantined individualsPreventive measures and demystification; Symptom tracker; Self-risk assessment; Quarantine monitoring; Contact tracing; Hotspot identification; Location data recording or Bluetooth handshakes
Covid LocatorGoaGeneral public; Quarantined individualsQuarantine monitoring; Contact tracing; Hotspot identification; Location data recording or Bluetooth handshakes
COVID CAREArunachal PradeshGeneral public; Quarantined individualsSymptom tracker; Quarantine monitoring; Contact tracing; Hotspot identification; Location data recording or Bluetooth handshakes
Corona-CareMultiple StatesQuarantined individualsSymptom tracker; Self-risk assessment; Quarantine monitoring; Information provision through chatbots or helpline; Teleconsultation and testing appointments; Location data recording or Bluetooth handshakes
CoronaFACTSMultiple StatesGeneral publicPreventive measures and demystification; Notification of confirmed cases; Notification of deaths; Data storage; aggregation; and visualization
COVID-19!Multiple statesGeneral publicPreventive measures and demystification; Notification of confirmed cases; Notification of deaths; Data storage; aggregation; and visualization
BMC Combat Covid19MaharashtraQuarantined individualsQuarantine monitoring; Information provision through chatbots or helpline; Data storage; aggregation; and visualization; Location data recording or Bluetooth handshakes
COVID-19 Care Tamil Nadu - (Official)Tamil NaduGeneral public; Quarantined individualsPreventive measures and demystification; Self-risk assessment; Quarantine monitoring; Notification of confirmed cases; Hotspot identification; Notification of deaths; Accepting donations from contributors
T COVID’19TelanganaGeneral publicAvailability of testing services and protective equipment for high-risk population; Preventive measures and demystification; Information provision through chatbots or helpline; Teleconsultation and testing appointments; Notification of confirmed cases; Accepting donations from contributors; Map location of health facilities
Haryana SahayakHaryanaGeneral publicPreventive measures and demystification; Self-risk assessment; Notification of confirmed cases; Notification of deaths; Map location of health facilities
Trackmetic - (Niramoy) by Morigaon Police; AssamAssamGeneral publicPreventive measures and demystification; Information provision through chatbots or helpline
NMC COVID-19MaharashtraGeneral publicPreventive measures and demystification; Information provision through chatbots or helpline; Map location of health facilities
Sahaaya SetuveKarnatakaGeneral publicUser feedback on services; Participation/volunteer recruitment
House Quarantine AP PoliceAndhra PradeshQuarantined individualsPreventive measures and demystification; Quarantine monitoring
Ayush KavachUttar PradeshGeneral publicPreventive measures and demystification; Information provision through chatbots or helpline
Telangana Covid19 TrackerTelanganaQuarantined individualsQuarantine monitoring
RajCop CitizenRajasthanGeneral publicElectronic pass for the movement of the health workers
Fight CovidMaharastraQuarantined individualsQuarantine monitoring
Odisha COVID DashboardOdishaGeneral publicPreventive measures and demystification; Self-risk assessment; Notification of confirmed cases; Notification of deaths; Map location of health facilities
COVID19ConnnectMultiple StatesGeneral public; ResearchersPreventive measures and demystification; Information provision through chatbots or helpline; Provider to provider communication; Notification of confirmed cases; Notification of deaths; Map location of health facilities
WashKaroMultiple StatesGeneral publicPreventive measures and demystification; Symptom tracker; Information provision through chatbots or helpline; Notification of confirmed cases; Notification of deaths
Screening process flowchart. Details of app developers and functionality assessment of the apps All the apps selected were free to download, with no in-app purchase options/requirements. State health/municipal departments were the launching agencies for 41 (82%) of the existing COVID-19 apps in India. Private/non-government developers and the Government of India launched seven (14%) and two (4%) apps, respectively. Figure 2 provides information about the target users of the apps. Two-thirds of the apps (n=34) were developed for the general public, 19 (38%) for quarantined individuals or foreign travellers currently residing in the Indian States, and two (4%) for caregivers. One (2%) app each was designed for tested individuals, police officials, and researchers, respectively.
Fig. 2

Target users of the COVID-19 apps in India (n=50).

Target users of the COVID-19 apps in India (n=50). The Table I lists the functions of the selected COVID-19 apps and maps these against the WHO guideline recommendations on digital health interventions for health systems strengthening. Dissemination of untargeted COVID-related information on preventative strategies was the function of 27 (54%) apps. Nineteen (38%) apps were developed to monitor the movements of quarantined individuals. On-demand information services through chatbots or telephonic helplines were available only in 19 (38%) apps. Fifteen apps (30%) provided users with a self-risk assessment function based on a set of screening questions related to their symptoms, occupations, travel history, and contact history. Information on the availability of COVID-19 testing facilities was available in six (12%) apps. Four (8%) apps had a provision for booking teleconsultation or testing appointments. The availability of an electronic pass for movement during the lockdown was the only health workforce-specific function available in four (8%) apps. In terms of the data for health managers and policy decisions, nine (18%) apps provide aggregation and visualization of the State governments' data related to confirmed cases and deaths. Eight (16%) apps had a contact tracing and hotspot identification function.
Table I

Functionalities of the coronavirus disease-19 apps and their comparison with World Health Organization (WHO) recommendation for digital health interventions (n=50)

WHO recommendations17COVID-19 related functionsn (%)
Clients
Targeted client communicationAvailability of testing services and protective equipment for high-risk population6 (12.0)
Untargeted client communicationPreventive measures and demystification27 (54.0)
Client to client communicationCommunity forums for patients and family members0 (0.0)
Personal health trackingSymptom tracker6 (12.0)
Self-risk assessment15 (30.0)
Quarantine monitoring19 (38.0)
Citizen based reportingUser feedback on services2 (4.0)
On-demand information services to clientsInformation provision through chatbots or helpline19 (38.0)
Client financial transactionsManage out of pocket payment by service users0 (0.0)
Health workers
Client identification and registrationEnrol user for health services/clinical care0 (0.0)
Client health recordsLongitudinal tracking of user’s health status0 (0.0)
Health worker decision supportJob-aid for frontline health workers0 (0.0)
TelemedicineTeleconsultation and testing appointments4 (8.0)
Health worker communicationProvider to provider communication1 (2.0)
Referral coordinationManage referrals between points of service within the health sector0 (0.0)
Health worker activity planning and schedulingElectronic pass for the movement of the health workers during the lockdown4 (8.0)
Health worker trainingTrain new and existing healthcare staff0 (0.0)
Prescription and medication management--
Laboratory and diagnostics imaging managementTesting for COVID-190 (0.0)
Health system managers
Human resource managementHuman resource monitoring for hospital staff0 (0.0)
Participation/volunteer recruitment1 (2.0)
Supply chain managementMonitor stock levels of health commodities0 (0.0)
Public health event notificationNotification of confirmed cases14 (28.0)
Contact tracing8 (16.0)
Hotspot identification8 (16.0)
Civil registration and vital statisticNotification of deaths13 (26.0)
Health financingAccepting donations from contributors4 (8.0)
Equipment and asset managementMonitor status of beds and ventilators0 (0.0)
Facility managementPriority checklists for facility management0 (0.0)
Data services
Data collection, management, and useData storage, aggregation and visualization9 (18.0)
Prediction on future trends of disease0 (0.0)
Data coding--
Location mappingMap location of health facilities9 (18.0)
Location data recording or Bluetooth handshakes19 (38.0)
Data exchange and interoperabilityData exchange across systems-
Functionalities of the coronavirus disease-19 apps and their comparison with World Health Organization (WHO) recommendation for digital health interventions (n=50)

Discussion

It was found that governments, including the Union government and 22 State and Union Territories, invested in the development of mobile apps to deal with this crisis. While there were differences in the State-specific information in the apps developed by different States, the system architecture and many of the functionalities, including self-testing, quarantine monitoring and contact tracing, were common between these State-level apps. The Ministry of Electronics and Information Technology, Government of India, has taken proactive measures to promote the installation and usage of the Aarogya Setu app, which is currently available in 11 Indian languages22. The penetration of the app is critical to the success of the technology-enabled contact tracing. Evidence suggests that 70 per cent of the population should have the app installed for the digital contact tracing efforts to be effective23. The current technological plurality in the absence of robust data exchange mechanisms and Centre-State coordination, can be detrimental for technology-assisted contact tracing in a heterogeneous country like India, especially once the lockdown ends and free movement of people starts. Overcoming this challenge requires the State and the Union Government to ensure the mass installation of a single contact tracing app collaboratively. In contrast, the State-specific apps would still be a vital medium of providing context-specific information and supporting local health systems. The review of the app functionalities revealed that information dissemination regarding the preventative measures was the primary function of the majority of the existing apps in India. The apps reviewed in this study did not have specific strategies to deal with the infodemic. Only two apps, had a fake news control segment. Several apps had a provision related to teleconsultations. The Ministry of Health and Family Welfare, Government of India, has formally recognized remote consultation through recent 'Telemedicine practice guidelines'24. With the growing number of COVID-19 cases, there is an urgent need to create integrated teleconsultation options within these apps to assure quality healthcare services, including those with pre-existing conditions. Another notable finding was that the majority of the apps did not have functionalities to assist the hospitals or healthcare workers. In contrast, frontline hospital workers were using mobile apps to compile clinical notes and track the use of protective equipment and ventilator in the United States20. In terms of privacy, all the contact tracing and quarantine monitoring apps reviewed in this study collected user data such as name, phone number, real-time location, and Bluetooth interactions with other app users. While the collection of the location data is essential for mapping hotspots of disease transmission, privacy experts are concerned about this data being a hazard for an individual's privacy and national security. The collection of location data in South Korea and China has sparked global concerns related to privacy and potential mala fide use of the data25. To counter this, countries like Singapore and Argentina are using tracking apps that only collect Bluetooth interaction data to preserve user privacy26. To ensure transparency, Singapore and Israel have shared their app source code with researchers for an independent audit27. In the absence of a data protection law in India, the Central and State governments need to address these privacy-related concerns to garner public trust that would ensure the deployment of these apps at scale. This study had a limitation that the user feedback on these apps was not assessed. Despite this limitation, this study has important implications for informing the development of future COVID-19 mHealth initiatives in India. These apps are a medium of disseminating disease-related awareness and knowledge at the population level. In a hysteric environment and a severe shortage of testing facilities, the self-risk assessment function available in the apps may help spot the patients at risk for COVID-19.
  8 in total

1.  The Role of Telehealth in Reducing the Mental Health Burden from COVID-19.

Authors:  Xiaoyun Zhou; Centaine L Snoswell; Louise E Harding; Matthew Bambling; Sisira Edirippulige; Xuejun Bai; Anthony C Smith
Journal:  Telemed J E Health       Date:  2020-03-23       Impact factor: 3.536

2.  Covid-19: a remote assessment in primary care.

Authors:  Trisha Greenhalgh; Gerald Choon Huat Koh; Josip Car
Journal:  BMJ       Date:  2020-03-25

Review 3.  Taking connected mobile-health diagnostics of infectious diseases to the field.

Authors:  Christopher S Wood; Michael R Thomas; Jobie Budd; Tivani P Mashamba-Thompson; Kobus Herbst; Deenan Pillay; Rosanna W Peeling; Anne M Johnson; Rachel A McKendry; Molly M Stevens
Journal:  Nature       Date:  2019-02-27       Impact factor: 49.962

4.  Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions.

Authors:  Jessica S Schwind; David J Wolking; John S Brownstein; Jonna A K Mazet; Woutrina A Smith
Journal:  PLoS One       Date:  2014-10-15       Impact factor: 3.240

5.  Use of a mobile application for Ebola contact tracing and monitoring in northern Sierra Leone: a proof-of-concept study.

Authors:  Lisa O Danquah; Nadia Hasham; Matthew MacFarlane; Fatu E Conteh; Fatoma Momoh; Andrew A Tedesco; Amara Jambai; David A Ross; Helen A Weiss
Journal:  BMC Infect Dis       Date:  2019-09-18       Impact factor: 3.090

6.  Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19).

Authors:  Anthony C Smith; Emma Thomas; Centaine L Snoswell; Helen Haydon; Ateev Mehrotra; Jane Clemensen; Liam J Caffery
Journal:  J Telemed Telecare       Date:  2020-03-20       Impact factor: 6.184

7.  How to fight an infodemic.

Authors:  John Zarocostas
Journal:  Lancet       Date:  2020-02-29       Impact factor: 79.321

8.  Rapid response to COVID-19: health informatics support for outbreak management in an academic health system.

Authors:  J Jeffery Reeves; Hannah M Hollandsworth; Francesca J Torriani; Randy Taplitz; Shira Abeles; Ming Tai-Seale; Marlene Millen; Brian J Clay; Christopher A Longhurst
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 7.942

  8 in total
  15 in total

Review 1.  GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management.

Authors:  Yogesh Simmhan; Tarun Rambha; Aakash Khochare; Shriram Ramesh; Animesh Baranawal; John Varghese George; Rahul Atul Bhope; Amrita Namtirtha; Amritha Sundararajan; Sharath Suresh Bhargav; Nihar Thakkar; Raj Kiran
Journal:  J Indian Inst Sci       Date:  2020-11-11

2.  Fighting an Infodemic in the Time of the COVID-19 Pandemic in India: Leveraging Technology and Social Media.

Authors:  Sakshi Jindal; Gaurav Anand
Journal:  J Prev Med Public Health       Date:  2020-09-30

Review 3.  A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak.

Authors:  Turki Alanzi
Journal:  J Multidiscip Healthc       Date:  2021-01-12

Review 4.  Mobile health applications for disease screening and treatment support in low-and middle-income countries: A narrative review.

Authors:  Ernest Osei; Tivani P Mashamba-Thompson
Journal:  Heliyon       Date:  2021-03-31

Review 5.  Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic.

Authors:  Shah Muhammad Azmat Ullah; Md Milon Islam; Saifuddin Mahmud; Sheikh Nooruddin; S M Taslim Uddin Raju; Md Rezwanul Haque
Journal:  SN Comput Sci       Date:  2021-01-06

6.  Perceived Utilities of COVID-19 Related Chatbots in Saudi Arabia: a Cross-sectional Study.

Authors:  Manal Almalki
Journal:  Acta Inform Med       Date:  2020-09

7.  The Pandemic, Infodemic, and People's Resilience in India: Viewpoint.

Authors:  Shabbir Syed Abdul; Meghna Ramaswamy; Luis Fernandez-Luque; Oommen John; Thejkiran Pitti; Babita Parashar
Journal:  JMIR Public Health Surveill       Date:  2021-12-08

8.  Investigation into Information Release of Chinese Government and Departments on COVID-19.

Authors:  Quan Lu; Ting Liu; Chang Li; Jing Chen; Yongchun Zhu; Shengyi You; Siwei Yu
Journal:  Data Inf Manag       Date:  2022-03-31

9.  Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study.

Authors:  Kai Kaspar
Journal:  J Med Internet Res       Date:  2020-08-27       Impact factor: 5.428

10.  Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study.

Authors:  Munshi Muhammad Abdul Kader Jilani; Md Moniruzzaman; Mouri Dey; Edris Alam; Md Aftab Uddin
Journal:  Int J Environ Res Public Health       Date:  2022-02-27       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.