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

Using Internet Searches for Influenza Surveillance

Polgreen, P. M., Chen, Y., Pennock, D. M., & Nelson, F. D. (2008) · Clinical Infectious Diseases · doi:10.1086/593098 · Cited by 567

Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational model

Balcan, D., Gonçalves, B., Hu, H., Ramasco, J., Colizza, V., & Vespignani, A. (2010) · Journal of Computer Science · doi:10.1016/j.jocs.2010.07.002 · Cited by 515

Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic

Bajardi, P., Poletto, C., Ramasco, J. J., Tizzoni, M., Colizza, V., & Vespignani, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016591 · Cited by 495

Spread of a Novel Influenza A (H1N1) Virus via Global Airline Transportation

Khan, K., Arino, J., Hu, W., Raposo, P., Sears, J., Calderon, F., Heidebrecht, C., Macdonald, M., Liauw, J., Chan, A., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmc0904559 · Cited by 451

Satellite imagery in the study and forecast of malaria

Rogers, D. J., Randolph, S., Snow, R. W., & Hay, S. I. (2002) · Nature · doi:10.1038/415710a · Cited by 445

Social and News Media Enable Estimation of Epidemiological Patterns Early in the 2010 Haitian Cholera Outbreak

Chunara, R., Andrews, J. R., & Brownstein, J. S. (2012) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.2012.11-0597 · Cited by 437

Forecasting seasonal outbreaks of influenza

Shaman, J. L., & Karspeck, A. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208772109 · Cited by 419

Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project

Brownstein, J. S., Freifeld, C. C., Reis, B. Y., & Mandl, K. D. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050151 · Cited by 413

On the Use of Human Mobility Proxies for Modeling Epidemics

Tizzoni, M., Bajardi, P., Decuyper, A., King, G. K. K., Schneider, C., Blondel, V. D., Smoreda, Z., González, M. C., & Vittoria Colizza, A. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003716 · Cited by 404

Hajj: infectious disease surveillance and control

Memish, Z. A., Zumla, A. I., Alhakeem, R. F., Assiri, A. M., Turkestani, A., Alharby, K. D., Alyemni, M., Dhafar, K. O., Gautret, P., Barbeschi, M., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60381-0 · Cited by 339

Internet-based surveillance systems for monitoring emerging infectious diseases

Milinovich, G. J., Williams, G. M., Clements, A., & Hu, W. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70244-5 · Cited by 309

Comparing large-scale computational approaches to epidemic modeling: Agent-based versus structured metapopulation models

Ajelli, M., Gonçalves, B., Balcan, D., Vittoria Colizza, A., Hu, H., Ramasco, J. J., Merler, S., & Vespignani, A. (2010) · BMC Infectious Diseases · doi:10.1186/1471-2334-10-190 · Cited by 301

Cholera Epidemic in Haiti, 2010: Using a Transmission Model to Explain Spatial Spread of Disease and Identify Optimal Control Interventions

Tuite, A. R., Tien, J. H., Eisenberg, M. C., Earn, D. J. D., Ma, J., & Fisman, D. N. (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-154-9-201105030-00334 · Cited by 281

Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance

Chan, E. H., Sahai, V., Conrad, C., & Brownstein, J. S. (2011) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0001206 · Cited by 280

ProMED-mail: An Early Warning System for Emerging Diseases

Yu, V. L., & Madoff, L. C. (2004) · Clinical Infectious Diseases · doi:10.1086/422003 · Cited by 269

Prediction of Dengue Incidence Using Search Query Surveillance

Althouse, B. M., Ng, Y. Y., & Cummings, D. A. T. (2011) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0001258 · Cited by 268

The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale

den Broeck, W. V., Gioannini, C., Gonçalves, B., Quaggiotto, M., Vittoria Colizza, A., & Vespignani, A. (2011) · BMC Infectious Diseases · doi:10.1186/1471-2334-11-37 · Cited by 266

Climatic and Environmental Patterns Associated with Hantavirus Pulmonary Syndrome, Four Corners Region, United States

Engelthaler, D. M., Mosley, D. G., Cheek, J. E., Levy, C. E., Komatsu, K. K., Ettestad, P., Davis, T., Tanda, D. T., Miller, L., Frampton, J. W., et al. (1999) · Emerging infectious diseases · doi:10.3201/eid0501.990110 · Cited by 259

Social Media and Internet‐Based Data in Global Systems for Public Health Surveillance: A Systematic Review

Velasco, E., AGHENEZA, T., Denecke, K., Kirchner, G., & Eckmanns, T. (2014) · Milbank Quarterly · doi:10.1111/1468-0009.12038 · Cited by 254

Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment

Vazquez‐Prokopec, G. M., Bisanzio, D., Stoddard, S. T., Paz‐Soldán, V. A., Morrison, A. C., Elder, J. P., Ramirez-Paredes, J., Halsey, E. S., Kochel, T. J., Scott, T. W., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058802 · Cited by 252

FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations

Grefenstette, J. J., Brown, S. T., Rosenfeld, R., DePasse, J. V., Stone, N. T., Cooley, P. C., Wheaton, W. D., Fyshe, A., Galloway, D. D., Sriram, A., et al. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-940 · Cited by 241

BioCaster: detecting public health rumors with a Web-based text mining system

Collier, N., Doan, S., Kawazoe, A., Goodwin, R. M., Conway, M., Tateno, Y., Ngo, H. Q., Dien, D., Kawtrakul, A., Takeuchi, K., et al. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn534 · Cited by 240

Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases

Heymann, D. L., & Rodier, G. R. (2001) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(01)00148-7 · Cited by 237

Assessment of the potential for international dissemination of Ebola virus via commercial air travel during the 2014 west African outbreak

Bogoch, I. I., Creatore, M. I., Cetron, M. S., Brownstein, J. S., Pesik, N., Miniota, J., Tam, T. W. S., Hu, W., Nicolucci, A., Ahmed, S. S., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61828-6 · Cited by 234

Monitoring Influenza Epidemics in China with Search Query from Baidu

Yuan, Q., Nsoesie, E. O., Lv, B., Peng, G., Chunara, R., & Brownstein, J. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064323 · Cited by 233

Web Queries as a Source for Syndromic Surveillance

Hulth, A., Rydevik, G., & Linde, A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004378 · Cited by 223

The Global Public Health Intelligence Network and Early Warning Outbreak Detection

Mykhalovskiy, E., & Weir, L. M. (2006) · Canadian Journal of Public Health · doi:10.1007/bf03405213 · Cited by 217

Use of Unstructured Event-Based Reports for Global Infectious Disease Surveillance

Mikaela Keller, A., Blench, M., Tolentino, H., Freifeld, C. C., Mandl, K. D., Mawudeku, A., Eysenbach, G., & Brownstein, J. S. (2009) · Emerging infectious diseases · doi:10.3201/eid1505.081114 · Cited by 213

Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study

Colizza, V., Barrat, A., Barthélemy, M., & Vespignani, A. (2007) · BMC Medicine · doi:10.1186/1741-7015-5-34 · Cited by 207

Using Remotely Sensed Data To Identify Areas at Risk for Hantavirus Pulmonary Syndrome

Glass, G. E., Cheek, J. E., Patz, J. A., Shields, T. M., Doyle, T. J., Thoroughman, D. A., Hunt, D. K., Enscore, R. E., Gage, K. L., Irland, C., et al. (2000) · Emerging infectious diseases · doi:10.3201/eid0603.000303 · Cited by 195

Microbial Genomics and Infectious Diseases

Relman, D. A. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1003071 · Cited by 173

The changing face of pathogen discovery and surveillance

Lipkin, W. I. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2949 · Cited by 173

Bringing together emerging and endemic zoonoses surveillance: shared challenges and a common solution

Halliday, J. E. B., Daborn, C. J., Auty, H. K., Mtema, Z. J., Lembo, T., Bronsvoort, M., Handel, I. G., Knobel, D. L., Hampson, K., & Cleaveland, S. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0362 · Cited by 145

Surveillance for emerging respiratory viruses

Al‐Tawfiq, J. A., Zumla, A. I., Gautret, P., Gray, G. C., Hui, D. S. C., Al-Rabeeah, A. A., & Memish, Z. A. (2014) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(14)70840-0 · Cited by 143

Mobile phones and malaria: Modeling human and parasite travel

Buckee, C. O., Wesolowski, A., Eagle, N. N., Hansen, E., & Snow, R. W. (2013) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2012.12.003 · Cited by 139

An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices

Machens, A., Gesualdo, F., Rizzo, C., Tozzi, A. E., Barrat, A., & Cattuto, C. (2013) · BMC Infectious Diseases · doi:10.1186/1471-2334-13-185 · Cited by 125

Mass gathering medicine: 2014 Hajj and Umra preparation as a leading example

Al‐Tawfiq, J. A., & Memish, Z. A. (2014) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2014.07.001 · Cited by 110

Syndromic Surveillance: Adapting Innovations to Developing Settings

Chrétien, J.-P., Burkom, H. S., Sedyaningsih, E. R., Larasati, R. P., Lescano, A. G., Mundaca, C. C., Blazes, D. L., Munayco, C. V., Coberly, J. S., Ashar, R., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050072 · Cited by 109

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Yang, C., Yang, J., Luo, X., & Gong, P. (2009) · Bulletin of the World Health Organization · doi:10.2471/blt.08.060905 · Cited by 107

Human mobility patterns predict divergent epidemic dynamics among cities

Dalziel, B. D., Pourbohloul, B., & Ellner, S. P. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.0763 · Cited by 106

The National Capitol Region’s Emergency Department Syndromic Surveillance System: Do Chief Complaint and Discharge Diagnosis Yield Different Results?

Begier, E. M., Sockwell, D., Branch, L. M., Davies-Cole, J. O. A., Jones, L. H., Edwards, L., Casani, J. A. P., & Blythe, D. (2003) · Emerging infectious diseases · doi:10.3201/eid0903.020363 · Cited by 92

Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events

Barboza, P., Vaillant, L., Mawudeku, A., Nelson, N. P., Hartley, D., Madoff, L. C., Linge, J. P., Collier, N., Brownstein, J. S., Yangarber, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057252 · Cited by 91

Syndromic Surveillance: a Local Perspective

Mostashari, F. (2003) · Journal of Heredity · doi:10.1093/jurban/jtg042 · Cited by 83

Predictive Power of Air Travel and Socio-Economic Data for Early Pandemic Spread

Hosseini, P. R., Sokolow, S. H., Vandegrift, K. J., Kilpatrick, A. M., & Daszak, P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012763 · Cited by 81

Use of ambulance dispatch data as an early warning system for communitywide influenzalike illness, New York City

Mostashari, F., Fine, A. D., Das, D., Adams, J., & Layton, M. (2003) · Journal of Urban Health · doi:10.1007/pl00022314 · Cited by 77

Untangling the Interplay between Epidemic Spread and Transmission Network Dynamics

Kamp, C. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000984 · Cited by 74

Using Satellite Images of Environmental Changes to Predict Infectious Disease Outbreaks

Ford, T. (2009) · Emerging infectious diseases · doi:10.3201/eid1509.081334 · Cited by 74

Health department use of social media to identify foodborne illness - Chicago, Illinois, 2013-2014.

Harris, J. K., Mansour, R., Choucair, B., Olson, J., Nissen, C., & Bhatt, J. (2014) · PubMed Central · Cited by 70

Using Satellite Images of Environmental Changes to Predict Infectious Disease Outbreaks

Ford, T., Colwell, R. R., Rose, J. B., et al. (2009) · Emerging infectious diseases · doi:10.3201/eid/1509.081334 · Cited by 68

Factors Influencing Performance of Internet-Based Biosurveillance Systems Used in Epidemic Intelligence for Early Detection of Infectious Diseases Outbreaks

Barboza, P., Vaillant, L., Strat, Y. L., Hartley, D., Nelson, N. P., Mawudeku, A., Madoff, L. C., Linge, J. P., Collier, N., Brownstein, J. S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090536 · Cited by 67

Comparison of Web-Based Biosecurity Intelligence Systems: BioCaster, EpiSPIDER and HealthMap

Lyon, A., Nunn, M., Grossel, G., & Burgman, M. A. (2011) · Transboundary and Emerging Diseases · doi:10.1111/j.1865-1682.2011.01258.x · Cited by 66

A New Approach for Monitoring Ebolavirus in Wild Great Apes

Reed, P. E., Mulangu, S., Cameron, K. N., Ondzie, A. U., Joly, D. O., Bermejo, M., Rouquet, P., Fabozzi, G., Bailey, M., Shen, Z., et al. (2014) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0003143 · Cited by 46

Use of Wild Bird Surveillance, Human Case Data and GIS Spatial Analysis for Predicting Spatial Distributions of West Nile Virus in Greece

Valiakos, G., Papaspyropoulos, K., Giannakopoulos, A., Birtsas, P., Tsiodras, S., Hutchings, M., Spyrou, V., Pervanidou, D., Athanasiou, L., Papadopoulos, N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096935 · Cited by 46

European Monitoring Systems and Data for Assessing Environmental and Climate Impacts on Human Infectious Diseases

Nichols, G. L., Andersson, Y., Lindgren, E., Devaux, I., & Semenza, J. C. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110403894 · Cited by 44

Using the Gravity Model to Estimate the Spatial Spread of Vector-Borne Diseases

Barrios, J., Verstraeten, W. W., Maes, P., Aerts, J., Farifteh, J., & Coppin, P. R. (2012) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph9124346 · Cited by 42

A profile of the online dissemination of national influenza surveillance data

Cheng, C. K. Y., Lau, E. H. Y., Ip, D., Yeung, A. S., Ho, L., & Cowling, B. J. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-339 · Cited by 42

Implementation of an Alert and Response System in Haiti during the Early Stage of the Response to the Cholera Epidemic

Santa-Olalla, P., Gayer, M., Magloire, R., Barrais, R., Valenciano, M., Aramburu, C., Poncelet, J. L., Alonso, J. C. G., Alphen, D. V., Heuschen, F., et al. (2013) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.13-0267 · Cited by 28

Implementing a public web based GIS service for feedback of surveillance data on communicable diseases in Sweden

Rolfhamre, P., Grabowska, K., & Ekdahl, K. (2004) · BMC Infectious Diseases · doi:10.1186/1471-2334-4-17 · Cited by 25

Surveillance strategy for early detection of unusual infectious disease events

Koopmans, M. (2013) · Current Opinion in Virology · doi:10.1016/j.coviro.2013.02.003 · Cited by 25

Monitoring Epidemic Alert Levels by Analyzing Internet Search Volume

Zhou, X., Li, Q., Zhu, Z., Zhao, H., Tang, H., & Feng, Y. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2228264 · Cited by 25

Using Social Media and Internet Data for Public Health Surveillance: The Importance of Talking

Hartley, D. (2014) · Milbank Quarterly · doi:10.1111/1468-0009.12039 · Cited by 22

Detection of Severe Respiratory Disease Epidemic Outbreaks by CUSUM-Based Overcrowd-Severe-Respiratory-Disease-Index Model

Polanco, C., Castañón-González, J. A., Macías, A. E., Samaniego, J. L., Buhse, T., & Villanueva-Martínez, S. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/213206 · Cited by 18

Forecasting High-Priority Infectious Disease Surveillance Regions: A Socioeconomic Model

Chan, E. H., Scales, D. A., Brewer, T. F., Madoff, L. C., Pollack, M. P., Hoen, A. G., Choden, T., & Brownstein, J. S. (2012) · Clinical Infectious Diseases · doi:10.1093/cid/cis932 · Cited by 17

'One health' in action series: nos 1-8.

Kahn, L. H., Kaplan, B. E., & Monath, T. P. C. (2012) · PubMed · Cited by 8

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

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Fuzzy-logic-based IoMT framework for COVID19 patient monitoring

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Epidemic Alert System: A Web-based Grassroots Model

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

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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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FSS superstrate antenna for satellite cynosure on IoT to combat COVID-19 pandemic

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First Prototype of the Infectious Diseases Seeker (IDS) Software for Prompt Identification of Infectious Diseases

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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning

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COVID-19 Response – Lessons from Secret Intelligence Failures

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