New technologies in predicting, preventing and controlling emerging infectious diseases

Global trends in emerging infectious diseases

Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338

Detecting influenza epidemics using search engine query data

Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295

Multiscale mobility networks and the spatial spreading of infectious diseases

Balcan, D., Vittoria Colizza, A., Gonçalves, B., Hu, H., Ramasco, J. J., & Vespignani, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906910106 · Cited by 1,347

The role of the airline transportation network in the prediction and predictability of global epidemics

Vittoria Colizza, A., Barrat, A., Barthélemy, M., & Vespignani, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510525103 · Cited by 1,154

Prediction and prevention of the next pandemic zoonosis.

Morse, S. S., Mazet, J. A., Woolhouse, M., Parrish, C. R., Carroll, D., Karesh, W. B., Zambrana-Torrelio, C., Lipkin, W. I., & Daszak, P. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61684-5 · Cited by 1,070

Cross-Species Virus Transmission and the Emergence of New Epidemic Diseases

Parrish, C. R., Holmes, E. C., Morens, D. M., Park, E.-C., Burke, D. S., Calisher, C. H., Laughlin, C. A., Saif, L. J., & Daszak, P. (2008) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00004-08 · Cited by 834

Digital disease detection - harnessing the Web for public health surveillance

Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0900702 · Cited by 819

Google Trends: A Web‐Based Tool for Real‐Time Surveillance of Disease Outbreaks

Carneiro, H. A., & Mylonakis, E. E. (2009) · Clinical Infectious Diseases · doi:10.1086/630200 · Cited by 815

Social and environmental risk factors in the emergence of infectious diseases

Weiss, R. A., & McMichael, A. J. (2004) · Nature Medicine · doi:10.1038/nm1150 · Cited by 714

Dynamics and Control of Diseases in Networks with Community Structure

Salathé, M., & Jones, J. H. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000736 · Cited by 586

Improved inference of time-varying reproduction numbers during infectious disease outbreaks

Thompson, R. N., Stockwin, J., van Gaalen, R. D., Polonsky, J. A., Kamvar, Z. N., Demarsh, P. A., Dahlqwist, E., Li, S., Miguel, E., Jombart, T., et al. (2019) · Epidemics · doi:10.1016/j.epidem.2019.100356 · Cited by 498

Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study

Nasajpour, M., Pouriyeh, S., Parizi, R. M., Dorodchi, M., Valero, M., & Arabnia, H. R. (2020) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-020-00080-6 · Cited by 304

Immunoinformatics and Vaccine Development: An Overview

Oli, A. N., Obialor, W. O., Ifeanyichukwu, M., Odimegwu, D. C., Okoyeh, J. N., Emechebe, G. O., Adejumo, S. A., & Ibeanu, G. C. (2020) · ImmunoTargets and Therapy · doi:10.2147/itt.s241064 · Cited by 324

Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review

Agarwal, P., Swami, S., & Malhotra, S. K. (2022) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-08-2021-0122 · Cited by 302

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102886 · Cited by 237

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

Vedaei, S. S., Fotovvat, A., Mohebbian, M. R., Rahman, G. M. E., Wahid, K. A., Babyn, P., Marateb, H. R., Mansourian, M., & Sami, R. (2020) · IEEE Access · doi:10.1109/access.2020.3030194 · Cited by 233

Healthcare 4.0: A review of frontiers in digital health

Jayaraman, P., Forkan, A., Morshed, A., Haghighi, P. D., & Kang, Y.-B. (2019) · WIREs Data Mining Knowl. Discov. · doi:10.1002/widm.1350 · Cited by 147

Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index

Qin, L., Sun, Q., Wang, Y., Wu, K.-F., Chen, M., Shia, B., & Wu, S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072365 · Cited by 188

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Rahman, M. S., Peeri, N. C., Shrestha, N., Zaki, R. A., Haque, U., & Hamid, S. H. A. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.04.005 · Cited by 178

Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19

Hernández‐Orallo, E., Manzoni, P., Calafate, C. T., & Cano, J. (2020) · IEEE Access · doi:10.1109/access.2020.2998042 · Cited by 160

Brucellosis in livestock and wildlife: zoonotic diseases without pandemic potential in need of innovative one health approaches

Godfroid, J. (2017) · Archives of Public Health · doi:10.1186/s13690-017-0207-7 · Cited by 146

Web-based infectious disease surveillance systems and public health perspectives: a systematic review

Choi, J., Cho, Y., Shim, E., & Woo, H. (2016) · BMC Public Health · doi:10.1186/s12889-016-3893-0 · Cited by 140

A Novel Data-Driven Model for Real-Time Influenza Forecasting

Venna, S. R., Tavanaei, A., Gottumukkala, R. N., Raghavan, V. V., Maida, A. S., & Nichols, S. (2018) · IEEE Access · doi:10.1109/access.2018.2888585 · Cited by 127

Information technology in emergency management of COVID-19 outbreak

Asadzadeh, A., Pakkhoo, S., Saeidabad, M. M., Khezri, H., & Ferdousi, R. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100475 · Cited by 96

The Prediction of Infectious Diseases: A Bibliometric Analysis

Yang, W., Zhang, J., & Ma, R. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176218 · Cited by 90

Utility and potential of rapid epidemic intelligence from internet-based sources

Yan, S.-L. J., Chughtai, A. A., & MacIntyre, C. R. (2017) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2017.07.020 · Cited by 76

The Assessment of Twitter’s Potential for Outbreak Detection: Avian Influenza Case Study

Yousefinaghani, S., Dara, R. A., Poljak, Z., Bernardo, T. M., & Sharif, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-54388-4 · Cited by 67

Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications

Hernández‐Orallo, E., Calafate, C. T., Cano, J., & Manzoni, P. (2020) · Applied Sciences · doi:10.3390/app10207113 · Cited by 56

A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic

Rahman, M. M., Khatun, F., Uzzaman, A., Sami, S. I., Bhuiyan, M. A.-A., & Kiong, T. S. (2021) · International Journal of Health Services · doi:10.1177/00207314211017469 · Cited by 59

IoT-enabled technologies for controlling COVID-19 Spread: A scientometric analysis using CiteSpace

Kumar, D., Sood, S. K., & Rawat, K. S. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100863 · Cited by 53

Metagenomic sequencing reveals viral abundance and diversity in mosquitoes from the Shaanxi-Gansu-Ningxia region, China

He, X., Yin, Q., Zhou, L., Meng, L., Hu, W., Li, F., Yang, L., Han, K., Zhang, S., Fu, S., et al. (2021) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0009381 · Cited by 51

Ebola virus – epidemiology, diagnosis, and control: threat to humans, lessons learnt, and preparedness plans – an update on its 40 year's journey

Singh, R. K., Dhama, K., Malik, Y. S., Ramakrishnan, M. A., Karthik, K., Khandia, R., Tiwari, R., Munjal, A. K., Saminathan, M., Sachan, S., et al. (2017) · Veterinary Quarterly · doi:10.1080/01652176.2017.1309474 · Cited by 50

Data exchanges based on blockchain in m-Health applications

Clim, A., Zota, R. D., & Constantinescu, R. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.088 · Cited by 48

Sample Preparation and Diagnostic Methods for a Variety of Settings: A Comprehensive Review

Nichols, Z. E., & Geddes, C. D. (2021) · Molecules · doi:10.3390/molecules26185666 · Cited by 53

Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic Review

Maddah, N., Verma, A., Almashmoum, M., & Ainsworth, J. D. (2023) · Journal of Medical Internet Research · doi:10.2196/44649 · Cited by 54

Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh

Rahman, M. S., Safa, N. T., Sultana, S., Salam, S., Karamehić-Muratović, A., & Overgaard, H. J. (2022) · Parasite Epidemiology and Control · doi:10.1016/j.parepi.2022.e00266 · Cited by 45

Fuzzy-logic-based IoMT framework for COVID19 patient monitoring

Panja, S., Chattopadhyay, A. K., Nag, A., & Singh, J. P. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108941 · Cited by 44

Development of MoSe2 Nano-Urchins as a Sensing Platform for a Selective Bio-Capturing of Escherichia coli Shiga Toxin DNA

Narang, J., Mishra, A., Pilloton, R., Alekhya, V., Wadhwa, S., Pundir, C. S., & Khanuja, M. (2018) · Biosensors · doi:10.3390/bios8030077 · Cited by 40

High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya

Njenga, M. K., Kemunto, N. P., Kahariri, S., Holmstrom, L. K., Oyas, H., Biggers, K., Riddle, A., Gachohi, J. M., Muturi, M., Mwatondo, A. J., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244119 · Cited by 39

Power, participation and their problems: A consideration of power dynamics in the use of participatory epidemiology for one health and zoonoses research

Ebata, A., Hodge, C., Braam, D., Waldman, L., Sharp, J. P., MacGregor, H., & Moore, H. L. (2020) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2020.104940 · Cited by 39

IoT-Based Wearable Body Sensor Network for COVID-19 Pandemic

Awotunde, J. B., Jimoh, R. G., AbdulRaheem, M., Oladipo, I. D., Folorunso, S. O., & Ajamu, G. J. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-77302-1_14 · Cited by 37

Travel-Related Diagnoses Among U.S. Nonmigrant Travelers or Migrants Presenting to U.S. GeoSentinel Sites — GeoSentinel Network, 2012–2021

Brown, A. B., Miller, C. M., Hamer, D. H., Kozarsky, P. E., Libman, M., Huits, R. M. H. G., Rizwan, A., Emetulu, H., Waggoner, J. J., Chen, L. H., et al. (2023) · MMWR Surveillance Summaries · doi:10.15585/mmwr.ss7207a1 · Cited by 35

Automated monitoring of tweets for early detection of the 2014 Ebola epidemic

Joshi, A., Sparks, R. S., Karimi, S., Yan, S.-L. J., Chughtai, A. A., Paris, C. L., & MacIntyre, C. R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0230322 · Cited by 35

Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis

Kishore, K., Jaswal, V., Verma, M., & Koushal, V. (2021) · JMIR Public Health and Surveillance · doi:10.2196/29957 · Cited by 31

A new view of multiscale stochastic impulsive systems for modeling and control of epidemics

Hernandez-Vargas, E. A., Alanís, A. Y., & Tetteh, J. N. A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.06.002 · Cited by 30

Paper-Based Loop Mediated Isothermal Amplification (LAMP) Platforms: Integrating the Versatility of Paper Microfluidics with Accuracy of Nucleic Acid Amplification Tests

Das, D., Masetty, M., & Priye, A. (2023) · Chemosensors · doi:10.3390/chemosensors11030163 · Cited by 29

Various Techniques for Molecular and Rapid Detection of Infectious and Epidemic Diseases

Shahrajabian, M. H., & Sun, W. (2023) · Letters in Organic Chemistry · doi:10.2174/1570178620666230331095720 · Cited by 28

A novel authentication protocol to ensure confidentiality among the Internet of Medical Things in covid-19 and future pandemic scenario

Alam, I., & Kumar, M. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100797 · Cited by 31

Predicting epidemics using search engine data: a comparative study on measles in the largest countries of Europe

Samaras, L., Sicilia, M., & García‐Barriocanal, E. (2021) · BMC Public Health · doi:10.1186/s12889-020-10106-8 · Cited by 25

Traffic Data-Empowered XGBoost-LSTM Framework for Infectious Disease Prediction

Guo, K., Shen, C., Zhou, X., Ren, S., Hu, M., Shen, M., Chen, X., & Guo, H. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3172206 · Cited by 26

DCA-IoMT: Knowledge-Graph-Embedding-Enhanced Deep Collaborative Alert Recommendation Against COVID-19

Khan, N., Ma, Z., Ullah, A., & Polat, K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3159710 · Cited by 25

A global examination of ecological niche modeling to predict emerging infectious diseases: a systematic review

Lawrence, T. J., Takenaka, B. P., Garg, A., Tao, D., Deem, S. L., Fèvre, E. M., Gluecks, I., Sagan, V., & Shacham, E. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1244084 · Cited by 26

Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources

Babanejaddehaki, G., An, A., & Papagelis, M. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3708549 · Cited by 24

Apply IOT technology to practice a pandemic prevention body temperature measurement system: A case study of response measures for COVID-19

Lin, W., Hsieh, C.-H., Chen, T.-S., Chen, J., Lee, J.-L., & Chen, W. (2021) · International Journal of Distributed Sensor Networks · doi:10.1177/15501477211018126 · Cited by 24

Human-Animal Interaction and the Emergence of SARS-CoV-2

Hassani, A., & Khan, G. (2020) · JMIR Public Health and Surveillance · doi:10.2196/22117 · Cited by 23

A review of GIS applications in public health surveillance

Biu, P. W., Nwasike, C. N., Tula, O. A., Ezeigweneme, C. A., & Gidiagba, J. O. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.21.1.2684 · Cited by 23

Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system

Dai, Y., & Wang, J. (2020) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0008758 · Cited by 25

Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications

Alsamhi, S. H., Hawbani, A., Shvetsov, A. V., & Kumar, S. (2023) · Advances in Human-Computer Interaction · doi:10.1155/2023/9992393 · Cited by 25

Next-generation computational tools and resources for coronavirus research: From detection to vaccine discovery

Kangabam, R. D., Sahoo, S., Ghosh, A., Roy, R., Silla, Y., Misra, N., & Suar, M. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.104158 · Cited by 23

Modelling and mapping of the COVID-19 trajectory and pandemic paths at global scale: A geographer’s perspective

Valjarević, A., Milić, M., Valjarević, D., Stanojević-Ristić, Z., Petrović, L., Milanović, M., Filipović, D., Ristanović, B., Basarin, B., & Lukić, T. (2020) · Open Geosciences · doi:10.1515/geo-2020-0156 · Cited by 22

Management of the COVID-19 Pandemic in the Republic of Korea from the Perspective of Governance and Public-Private Partnership

Kim, W., Jung, T. Y., Roth, S., Um, W., & Kim, C. (2021) · Yonsei Medical Journal · doi:10.3349/ymj.2021.62.9.777 · Cited by 22

Infectious Disease Surveillance in the Era of Big Data and AI: Opportunities and Pitfalls

Idahor, C. O., Esomu, E.-J. O., Ogbonna, N., Momoh, Z., Ogbeide, O. A., Ikhu-Omoregbe, O., Adigwe, A., Erhabor, O. M., Osaghae, O., & Orons, N. (2025) · Cureus · doi:10.7759/cureus.93929 · Cited by 29

The lavatory lens: Tracking the global movement of pathogens via aircraft wastewater

Bivins, A. W., Morfino, R. C., Franklin, A., Simpson, S. L., & Ahmed, W. (2023) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2023.2239129 · Cited by 19

MOLECULAR IDENTIFICATION OF AVIAN VIRUSES IN NEOTROPIC CORMORANTS (PHALACROCORAX BRASILIANUS) IN CHILE

Verdugo, C., Pinto, A., Ariyama, N., Moroni, M., & Hernandez, C. (2018) · Journal of Wildlife Diseases · doi:10.7589/2017-10-256 · Cited by 19

How Human Mobility Models Can Help to Deal with COVID-19

Hernández‐Orallo, E., & Armero-Martínez, A. (2020) · Electronics · doi:10.3390/electronics10010033 · Cited by 19

Home quarantine patient monitoring in the era of COVID-19 disease

Sicari, S., Rizzardi, A., & Coen‐Porisini, A. (2021) · Smart Health · doi:10.1016/j.smhl.2021.100222 · Cited by 17

Synthesis of 2D Tungsten disulphide WS2 for biosensing: a unique perspective on emerging applications

Wang, C.-C., Mukundan, A., Karmakar, R., Jalindra, K. S., & Wang, H. (2025) · Discover Nano · doi:10.1186/s11671-025-04269-9 · Cited by 16

Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia

Hardhantyo, M., Djasri, H., Nursetyo, A. A., Yulianti, A., Adipradipta, B. R., Hawley, W., Mika, J., Praptiningsih, C. Y., Mangiri, A., Prasetyowati, E. B., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052728 · Cited by 16

Estimation of Japanese encephalitis virus infection prevalence in mosquitoes and bats through nationwide sentinel surveillance in Indonesia

Diptyanusa, A., Herini, E. S., Indarjulianto, S., & Satoto, T. B. T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275647 · Cited by 16

Enhanced Enzymatically Amplified Metallization on Nanostructured Surfaces for Multiplexed Point‐of‐Care Electrical Detection of COVID‐19 Biomarkers

Rafat, N., Zhang, H., Rudge, J., Kim, Y. N., Peddireddy, S. P., Das, N., & Sarkar, A. (2022) · Small · doi:10.1002/smll.202203309 · Cited by 15

IoT Applications in Future Foreseen Guided by Engineered Nanomaterials and Printed Intelligence Technologies a Technology Review

Moinudeen, G. K., Ahmad, F. J., Kumar, D., Al-Douri, Y., & Ahmad, S. (2017) · The Internet of Things · Cited by 15

Epidemiological monitoring of the last outbreak of yellow fever in Brazil – An outlook from Portugal

Selemane, I. (2018) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2018.12.008 · Cited by 14

A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things

Yang, S., Xiao, N., Li, J.-Z., Yu, F., Ma, J.-Y., Quzhen, G., Yu, Q., Zhang, T., Yi, S.-C., & Zhou, X. (2021) · Infectious Diseases of Poverty · doi:10.1186/s40249-021-00833-4 · Cited by 14

Artificial Intelligence and an Edge-IoMT-Based System for Combating COVID-19 Pandemic

Awotunde, J. B., Jimoh, R. G., Matiluko, O. E., Gbadamosi, B., & Ajamu, G. J. (2021) · Springer eBooks · doi:10.1007/978-981-16-6542-4_11 · Cited by 14

IoT Capabilities in Regaining Travelers’ Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector

Chand, P., Tarei, P. K., Gangadhari, R. K., & Mikalef, P. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3276779 · Cited by 13

Policy Options for Food System Transformation in Africa and the Role of Science, Technology and Innovation

Badiane, O., Hendriks, S. L., Glatzel, K., Abdelradi, F., Admassie, A., Asafu‐Adjaye, J., Ayieko, M. W., Bekele, E., Chaibi, T., Hassan, M. H. A., et al. (2023) · Springer eBooks · doi:10.1007/978-3-031-15703-5_37 · Cited by 15

Suggesting a framework for preparedness against the pandemic outbreak based on medical informatics solutions: a thematic analysis

Gholamzadeh, M., Abtahi, H., & Safdari, R. (2021) · The International Journal of Health Planning and Management · doi:10.1002/hpm.3106 · Cited by 13

Risk Prevention of Spreading Emerging Infectious Diseases Using a HybridCrowdsensing Paradigm, Optical Sensors, and Smartphone

Edoh, T. O. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0937-2 · Cited by 13

AIEgen‐Based Proactive Early Warning System and Precise Treatment Strategy for Monkeypox Prevention and Control

Wang, W., Liu, Z., Li, M., Zheng, J., Zhang, R., Liu, K., Li, X., Wen, S., Yu, J., Pan, M., et al. (2025) · Advanced Science · doi:10.1002/advs.202515865 · Cited by 12

Bio-Virus Spread Simulation in Real 3D Space using Augmented Reality

Infosuccess3d, A., Tsaramirsis, K., Patel, A. B., Sharma, P. R., Reddy, N., Randhawa, P., Tsaramirsis, G., Pavlopoulou, A., Koçer, Z. A., & Piromalis, D. D. (2021) · Engineered Science · doi:10.30919/es8d592 · Cited by 12

Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic

Darbandi, M., Alrasheedi, A. F., Alnowibet, K. A., Javaheri, D., & Mehbodniya, A. (2022) · Information Systems and e-Business Management · doi:10.1007/s10257-022-00580-5 · Cited by 12

Spatiotemporal distribution of climate-sensitive disease incidences in ethiopia: a longitudinal retrospective analysis of Malaria, Meningitis, Cholera, Dysentery, Leishmaniasis and Dengue fever between 2010 and 2022/2023

Simegn, G. L., Degu, M. Z., Gebeyehu, W. B., Senay, A. B., Krishnamoorthy, J., & Tegenaw, G. S. (2024) · BMC Public Health · doi:10.1186/s12889-024-18054-3 · Cited by 13

The privacy calculus in the context of novel health technology for diagnosing and tracking infectious diseases: The role of disease severity and technology's evidence base for effectiveness in adoption and voluntary health data-sharing

Frangopoulou, M. S., van der Laan, L. N., & Ebbers, W. E. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102616 · Cited by 12

EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data

Savini, L., Candeloro, L., Perticara, S., & Conte, A. (2019) · Microorganisms · doi:10.3390/microorganisms7120680 · Cited by 10

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

Hayati, N. Q., Ramli, K., Suryanegara, M., & Salman, M. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120956 · Cited by 11

Epidemic Alert System: A Web-based Grassroots Model

Noma‐Osaghae, E., Okokpujie, K., Ndujiuba, C. U., Okesola, O., & Okokpujie, I. P. (2018) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v8i5.pp3809-3828 · Cited by 11

CONTRIBUTIONS OF SPACE TECHNOLOGY TO GLOBAL HEALTH IN THE CONTEXT OF COVID-19

Suryaatmadja, S., & Maulani, N. (2020) · Jurnal Administrasi Kesehatan Indonesia · doi:10.20473/jaki.v8i2.2020.60-73 · Cited by 11

Application of the Internet of Things (IoT) to Fight the COVID-19 Pandemic

Ogundokun, R. O., Awotunde, J. B., Adeniyi, A. E., & Misra, S. (2022) · Internet of things · doi:10.1007/978-3-030-81473-1_4 · Cited by 11

Controlling infectious disease outbreaks in low-income and middle-income countries

Caeiro, J. P., & Garzón, M. I. (2018) · Current treatment options in infectious diseases/Current treatment options in infectious disease · doi:10.1007/s40506-018-0154-z · Cited by 11

Text Mining Approach to Analyze Coronavirus Impact: Mexico City as Case of StudyPreprint

Saire, J. E. C., & Pineda-Briseño, A. (2020) · medRxiv · doi:10.1101/2020.05.07.20094466 · Cited by 11

Emerging infectious disease surveillance using a hierarchical diagnosis model and the Knox algorithm

Wang, M., Yang, B., Liu, Y., Yang, Y., Ji, H., & Yang, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-47010-1 · Cited by 12

High-Level Design and Rapid Implementation of a Clinical and Non-clinical Blockchain-Based Data Sharing Platform for COVID-19 Containment

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