The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The Use of Digital Health in the Detection and Management of COVID-19
Open accessAbstract
Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“remote consultations have been playing a substantial role in the health care response to the current COVID-19 pandemic by supporting continued access to services with minimized risk of disease transmission [2,3].”
From Impact of Remote Consultations on Antibiotic Prescribing in Primary Health Care: Systematic Review (2020) · cites this paper as [3]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
A novel coronavirus outbreak of global health concern
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30185-9 · Cited by 7,700
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
Bernheim, A., Mei, X., Huang, M., Yang, Y., Fayad, Z. A., Zhang, N., Diao, K., Lin, B., Zhu, X., Li, K., et al. (2020) · Radiology · doi:10.1148/radiol.2020200463 · Cited by 2,703
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., Bai, J., Lu, Y., Fang, Z., Song, Q., et al. (2020) · Radiology · doi:10.1148/radiol.2020200905 · Cited by 1,927
Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing
Wang, C. J., Ng, C. Y., & Brook, R. H. (2020) · JAMA · doi:10.1001/jama.2020.3151 · Cited by 1,391
Type 2 Diabetes and its Impact on the Immune System
Berbudi, A., Rahmadika, N., Cahyadi, A. I., & Ruslami, R. (2019) · Current Diabetes Reviews · doi:10.2174/1573399815666191024085838 · Cited by 1,367
Pang, J., Wang, M. X., Ang, I. Y. H., Tan, S. H. X., Lewis, R. F., Chen, J. I., Gutiérrez, R. A., Gwee, S. X. W., Chua, P. E. Y., Yang, Q., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9030623 · Cited by 563
Infodemiology and Infoveillance
Eysenbach, G. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.02.006 · Cited by 420
Potential for global spread of a novel coronavirus from China
Bogoch, I. I., Watts, A., Thomas-Bachli, A. L., Huber, C., Kraemer, M. U. G., & Khan, K. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa011 · Cited by 358
Radin, J. M., Wineinger, N. E., Topol, E. J., & Steinhubl, S. R. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30222-5 · Cited by 300
Research works printed but not linked: 1
- COVID-19 Open Research Dataset (CORD-19) (2020, March 30). Semantic Scholar. Available online: https://pages.semanticscholar.org/coronavirus-research.
Cited by
Sorted by citations
Items 101–159 of 159
Role of Coronavirus Outbreak on Adoption of Electronic Education in New Bussa, Niger State, Nigeria
Adigun, J. O., Irunokhai, E. A., Adeniji, O. A., AREO, Y. M., Onihunwa, J. O., SADA, Y. A., & JEJE, C. A. (2021) · International Journal of Education and Management Engineering · doi:10.5815/ijeme.2021.05.02 · Cited by 4
Folorunso, S. O., Ogbuju, E., & Oladipo, F. O. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-69744-0_10 · Cited by 4
Short Paper: Privacy Comparison of Contact Tracing Mobile Applications for COVID-19Preprint
Messai, M., & Seba, H. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.03232 · Cited by 4
Mbiine, R., Nakanwagi, C., Lekuya, H. M., Aine, J., Hakim, K., Nabunya, L., & Tomusange, H. (2021) · JMIR Formative Research · doi:10.2196/27521 · Cited by 3
A digital health ecosystem for Africa during the COVID-19 pandemic
Cilliers, L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821318-6.00013-x · Cited by 3
A New eHealth Investment Appraisal Framework for Africa: Validation
Broomhead, S. C., Mars, M., & Scott, R. E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20146426 · Cited by 3
Precision public health, the key for future outbreak management: A scoping review
Rajendran, E. G., Hairi, F. M., Supramaniam, R. K., & Mohd, T. A. M. T. (2024) · Digital Health · doi:10.1177/20552076241256877 · Cited by 5
Smart moves for an aging population
Josephsen, S. R., & Fritz, R. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17100 · Cited by 3
Correlating global trends in COVID-19 cases with online symptom checker self-assessments
Zobel, M., Knapp, B., Nateqi, J., & Martin, A. G. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281709 · Cited by 3
Chouit, E. M., Rachdi, M., Bellafkih, M., & Raouyane, B. (2024) · Advances in environmental engineering and green technologies book series · doi:10.4018/979-8-3693-3807-0.ch005 · Cited by 3
Soto, R. F., & Godoy, S. E. (2024) · Sensors · doi:10.3390/s24165152 · Cited by 2
Kim, Y., Choi, J., Ji, Y., & Woo, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192214652 · Cited by 2
Securing Smart Health Care Systems and Infrastructure Using Artificial Intelligence
Singh, R., Bhatia, H. S., Yadav, K., Rao, A. K., Kumar, N., & Gehlot, A. (2024) · International Conference on Innovative Practices in Technology and Management (ICIPTM) · doi:10.1109/iciptm59628.2024.10563198 · Cited by 2
Anastasiadou, M. N., Isaia, P., Kolios, P., Eliades, D. G., & Laoudias, C. (2024) · IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) · doi:10.1109/ccgridw63211.2024.00016 · Cited by 2
Rabies in Africa: Vaccination coverage and strategies for elimination by 2030
Aborode, A. T., Otorkpa, O. J., Ayesen, O. O., Ogun, S. O., Amadi, C. S., Roy, S., Olorukooba, A. A., Nwosu, K. O. S., Aladekomo, O. A., Kolawole, B. O., et al. (2025) · Decoding Infection and Transmission · doi:10.1016/j.dcit.2025.100047 · Cited by 2
Mudanças de hábitos de vida em trabalhadores da atenção primária durante a pandemia de COVID-19
Sumiya, A., Pavesi, E., de Macêdo, J. A., Farhat, G., & Trelha, C. S. (2021) · JMPHC | Journal of Management & Primary Health Care · doi:10.14295/jmphc.v12.1106 · Cited by 2
Cuidados de Enfermagem no Telemonitoramento da Covid-19
dos Santos, M. R., Schrapett, V. R., & da Silva, C. R. L. (2021) · Revista Paulista de Enfermagem · doi:10.33159/25959484.repen.2020v32a39 · Cited by 2
Coronavirus disease 2019: a revolution in biological triage in the emergency setting
Manoochehry, S., Saboori, F., Faraji, M., & Behzadnia, M. J. (2020) · Universa Medicina · doi:10.18051/univmed.2020.v39.212-223 · Cited by 2
Betancourt-Cravioto, M., Falcón‐Lezama, J. A., Rojas-Estrella, F., Saucedo-Martínez, R., & TAPIA-CONYER, R. C. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.95260 · Cited by 2
COVID-19 at the community level: What are the countermeasures?
Adebayo, O., Ayowole, D. J., Ogbonna, V. I., Amoo, A., Babarinde, T. O., Nwafor, J. N., Enebeli, U. U., Sokomba, A., & Ilesanmi, O. (2020) · Nigerian Journal of Medicine · doi:10.4103/njm.njm_109_20 · Cited by 2
Assimilation of Digital Health by Family Physicians in CanadaPreprint
Paré, G., Pomey, M., Raymond, L., & Badr, J. (2021) · Research Square · doi:10.21203/rs.3.rs-134428/v1 · Cited by 2
Hospital Preparedness and Response Framework during infection pandemicPreprint
Thapa, B. B. (2021) · medRxiv · doi:10.1101/2021.06.28.21259630 · Cited by 2
Patel, N., Wahal, E., Galindo, A. M., Rodarte, A., Jesudason, T., Aarsand, R., & Tordrup, D. (2021) · doi:10.2196/preprints.36046 · Cited by 2
Use of the Wearable Device in Telehealth during Covid-19
Chauhan, H. P., & Patil, K. P. (2021) · Journal of Pharmaceutical Research International · doi:10.9734/jpri/2021/v33i35b31895 · Cited by 1
INSTITUTIONS OF HIGHER EDUCATION IN COVID-19 RISK COMMUNICATIONS: TEXAS STUDY
BAUER, A., & Denham, M. (2021) · WIT transactions on the built environment · doi:10.2495/dman210041 · Cited by 1
"The Role of Information Management in the Process of Digital Health Confrontation with Covid-19"
Moghaddasi, H. (2021) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2021.38.006123 · Cited by 1
Olowu, A. A. (2023) · Journal of Endocrinological Science · doi:10.29245/2767-5157/2023/2.1129 · Cited by 1
Timely Personalized Exposure Risk Estimation for Air Travelers
Chan, C., & Wen, T. (2025) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3523336 · Cited by 1
Mudzengi, D. L., Ntshiqa, T., Hamada, Y., Ndebele, F., Mpanza, T., Kyobutungi, B., Williams, C., Kennealy, M., Rangaka, M. X., Velen, K., et al. (2025) · JMIR Formative Research · doi:10.2196/71793 · Cited by 3
Sujarwoto, S., Holipah, H., Andarini, S., Aknuranda, I., Pakpahan, E., Oceandy, D., Tampubolon, G., & Maharani, A. (2025) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2025-101511 · Cited by 3
Factors Influencing Telemedicine Adoption in Emerging Economies
Valencia-Arias, A., Gallegos, A., Rodríguez-Correa, P. A., Arica, P. S. J., Huertas, L. D. C. L. R., & Valencia, J. (2025) · Telemedicine Journal and e-Health · doi:10.1177/15305627251407948 · Cited by 1
Research priorities for improved pandemic and epidemic intelligence
Tornimbene, B., Redies, I., AbdelMalik, P., Abernethy, J., Anton, N., Awofisayo-Okuyelu, A., Fitzner, J., Franz, C., Ghozzi, S., Golding, J. P., et al. (2026) · The Lancet Global Health · doi:10.1016/s2214-109x(26)00024-0 · Cited by 1
Telemedicine and Digital Public Health in Pandemic Times
Eappen, P., & Olujinmi, T. D. (2022) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-6684-5499-2.ch007 · Cited by 2
Schooley, B. L., Ahmed, A., Maxwell, J., & Feldman, S. S. (2023) · Journal of Medical Internet Research · doi:10.2196/46026 · Cited by 1
Youngui, B. T., Mambo, A., Machekano, R. N., Kana, R., Epée, E., Tenkeu, S. Z., Tsigaing, P. N., Ndongo, M. L. A., Njoukam, C. M., Bichara, L., et al. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102730 · Cited by 1
El‐Sherif, D. M., Ahmed, A. A., Sharif, A. F., Elzarif, M. T., & Abouzid, M. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-61943-4_21 · Cited by 1
Digital Medical Devices in Infection Prevention and Control
Bánsághi, S., Gulàcsi, L., Péntek, M., & Haidegger, T. P. (2024) · IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) · doi:10.1109/saci60582.2024.10619800 · Cited by 1
Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis
Ramzy, M. (2024) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2024-0657 · Cited by 1
Salari, R., Fatehi, F., & Mehdizadeh, H. (2024) · Healthcare Informatics Research · doi:10.4258/hir.2024.30.4.312 · Cited by 1
Public Health Informatics: An Overview
Mekonnen, Z. A. (2024) · Sustainable development goals series · doi:10.1007/978-3-031-71118-3_2 · Cited by 1
Gunturu, L. N., & Dornadula, G. (2022) · Disruptive technologies and digital transformations for society 5.0 · doi:10.1007/978-981-16-3783-4_2 · Cited by 1
Futuristic Intelligence-Based Treatment Methods to Handle COVID-19 Patients
Raghuwanshi, S., & Bhaumik, S. (2021) · Algorithms for intelligent systems · doi:10.1007/978-981-16-2786-6_15
Digital Health and Pharmacy: Evidence Synthesis and Applications
Hussain, R., Zainal, H., Noor, D. A. M., & Shakeel, S. (2023) · Springer eBooks · doi:10.1007/978-3-030-50247-8_80-1
Yanti, I., Suryani, L., & Dewi, R. R. K. (2023) · JURNAL KREATIVITAS PENGABDIAN KEPADA MASYARAKAT (PKM) · doi:10.33024/jkpm.v6i5.9243
Total quality and innovation management in hospital
Tonjang, S. (2021) · doi:10.58837/chula.the.2021.202
Digital Health and Pharmacy: Evidence Synthesis and Applications
Hussain, R., Zainal, H., Noor, D. A. M., & Shakeel, S. (2023) · Springer eBooks · doi:10.1007/978-3-030-64477-2_80
Octavianus, M., Indriani, W., & Fitriasari, N. (2022) · Jurnal Kedokteran Brawijaya · doi:10.21776/ub.jkb.2022.032.01.11s
Alshammari, B. M. (2024) · Journal of Computer Science · doi:10.3844/jcssp.2024.465.486
EFEKTIFAS PEMINDAI TERMAL UNTUK MENDETEKSI COVID-19
Siti Nurfadilah, H., & Pandayu, A. (2024) · ASSYIFA Jurnal Ilmu Kesehatan · doi:10.62085/ajk.v2i1.41
The application of digital health to fight against COVID-19
Muniandy, Y., & Pillai, S. G. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-22270-2.00019-8 · Cited by 1
Mudzengi, D. L., Ntshiqa, T., Hamada, Y., Ndebele, F., Mpanza, T., Kyobutungi, B., Williams, C., Kennealy, M., Rangaka, M. X., Velen, K., et al. (2025) · doi:10.2196/preprints.71793
SWOT Analysis of Communicable Disease Surveillance in Sudan
Khogali, A., AbuKoura, R., Abdelmagid, N., Ibrahim, M., Ratnayake, R., & Dahab, M. (2025) · Public Health Challenges · doi:10.1002/puh2.70024
Rongon, R. K., Prangon, S. K., Das, K., Sharif, S. T., & Ashraf, A. (2025) · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · doi:10.1109/qpain66474.2025.11172034
Amiri, P., Nadri, H., & Bahaadinbeigy, K. (2024) · Figshare · doi:10.6084/m9.figshare.24455019
Amiri, P., Nadri, H., & Bahaadinbeigy, K. (2023) · Figshare · doi:10.6084/m9.figshare.24454962
Digital Transformation in Healthcare: Current Trends and Challenges
Siang, L. J., & Veerasamy, R. (2026) · Jordan Journal of Pharmaceutical Sciences · doi:10.35516/jjps.v19i1.3093
Effect of Digital Health Literacy and E-health Literacy on Quality of Life: A systematical Review
Köse, A. (2026) · Acta Infologica · doi:10.26650/acin.1702353
Pacheco, M. A. D. L. P., Guzman, H., Sánchez, D. A. G., Dominguez, A., & Lamby, J. G. (2026) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580261463910
Stafford, R., Liu, Y., Khetrapal, P., Carvalho, G., Kocadag, H., Surrao, D., McBain, H., de Winter, P., Ackerman, C., Jackson‐Spence, F., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10251668/v1
Metadata
- Authors
- Alwashmi, M.
- Affiliations
- Memorial University of Newfoundland (CA)
- Corresponding author
- Alwashmi, Meshari
- ORCID
- Alwashmi, Meshari
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-04-23
- Volume
- 17
- Issue
- 8
- Pages
- 2906
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC7215737
- OpenAlex
- W3019586571
- Cited by
- 159
- References
- 24
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 22 · 2023: 19 · 2022: 26 · 2021: 53 · 2020: 25
- FWCI
- 28.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Keywords
- digital health, COVID-19 pandemic, disease surveillance, screening, triage, diagnosis, patient monitoring, healthcare worker safety, infectious disease detection
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Disease Outbreaks, Health Personnel, Humans, Mass Screening, Monitoring, Physiologic, Pneumonia, Viral, Population Surveillance, Software, Triage, Contact Tracing, Telemedicine, Coronavirus Infections, Biomedical Technology, Pandemics, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review