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Super-spreaders in infectious diseases
Open accessAbstract
Early studies that explored host-pathogen interactions assumed that infected individuals within a population have equal chances of transmitting the infection to others. Subsequently, in what became known as the 20/80 rule, a small percentage of individuals within any population was observed to control most transmission events. This empirical rule was shown to govern inter-individual transmission dynamics for many pathogens in several species, and individuals who infect disproportionately more secondary contacts, as compared to most others, became known as super-spreaders. Studies conducted in the wake of the severe acute respiratory syndrome (SARS) pandemic revealed that, in the absence of super-spreading events, most individuals infect few, if any, secondary contacts. The analysis of SARS transmission, and reports from other outbreaks, unveil a complex scenario in which super-spreading events are shaped by multiple factors, including co-infection with another pathogen, immune suppression, changes in airflow dynamics, delayed hospital admission, misdiagnosis, and inter-hospital transfers. Predicting and identifying super-spreaders open significant medical and public health challenges, and represent important facets of infectious disease management and pandemic preparedness plans.
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Citations
Cites
A Major Outbreak of Severe Acute Respiratory Syndrome in Hong Kong
Lee, N. L. S., Hui, D. S. C., Wu, A. K. L., Chan, P. K. S., Cameron, P. A., Joynt, G. M., Ahuja, A. T., Yung, M. Y., Leung, C. B., To, K. F., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030685 · Cited by 2,638
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
Transmission Dynamics and Control of Severe Acute Respiratory Syndrome
Lipsitch, M., Cohen, T., Cooper, B. S., Robins, J. M., Ma, S., James, L., Gopalakrishna, G., Chew, S. K., Tan, C. C., Samore, M. H., et al. (2003) · Science · doi:10.1126/science.1086616 · Cited by 1,485
Evidence of Airborne Transmission of the Severe Acute Respiratory Syndrome Virus
Yu, I. T. S., Li, Y., Wong, T. W., Tam, W., Chan, A., Lee, J. H. W., Leung, D. Y. C., & Ho, T. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032867 · Cited by 1,255
Perspectives on the basic reproductive ratio
Heffernan, J. M., Smith, R. J., & Wahl, L. M. (2005) · Journal of The Royal Society Interface · doi:10.1098/rsif.2005.0042 · Cited by 1,232
Woolhouse, M. E. J., Dye, C., Etard, J.-F., Smith, T., Charlwood, J. D., Garnett, G. P., Hagan, P., Hii, J. L. K., Ndhlovu, P. D., Quinnell, R. J., et al. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.1.338 · Cited by 1,194
Riley, S., Fraser, C., Donnelly, C. A., Ghani, A. C., Abu-Raddad, L. J., Hedley, A. J., Leung, G. M., Ho, L., Lam, T.-H., Thach, T., et al. (2003) · Science · doi:10.1126/science.1086478 · Cited by 1,152
Cohen, M. S., Hoffman, I., Royce, R. A., Kazembe, P. N., Dyer, J. R., Daly, C. C., Zimba, D., Vernazza, P., Maida, M., Fiscus, S. A., et al. (1997) · The Lancet · doi:10.1016/s0140-6736(97)02190-9 · Cited by 873
Host heterogeneity dominates West Nile virus transmission
Marm Kilpatrick, A., Daszak, P., Jones, M. J., Marra, P. P., & Kramer, L. D. (2006) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2006.3575 · Cited by 533
The Reemergence of Ebola Hemorrhagic Fever, Democratic Republic of the Congo, 1995
Khan, A. S., Tshioko, F. K., Heymann, D. L., Guenno, B. L., Nabeth, P., Kerstiëns, B., Fleerackers, Y., Kilmarx, P. H., Rodier, G. R., Nkuku, O. B., et al. (1999) · The Journal of Infectious Diseases · doi:10.1086/514306 · Cited by 460
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Gralinski, L. E., & Menachery, V. D. (2020) · Viruses · doi:10.3390/v12020135 · Cited by 1,348
Aerosol Emission and Superemission during Human Speech Increase with Voice Loudness
Asadi, S., Wexler, A. S., Cappa, C. D., Barreda, S., Bouvier, N. M., & Ristenpart, W. D. (2019) · Scientific Reports · doi:10.1038/s41598-019-38808-z · Cited by 919
Transmission routes of respiratory viruses among humans
Kutter, J. S., Spronken, M. I., Fraaij, P. L., Fouchier, R. A., & Herfst, S. (2018) · Current Opinion in Virology · doi:10.1016/j.coviro.2018.01.001 · Cited by 611
Jones, D. L., Quintela‐Baluja, M., Graham, D. W., Corbishley, A., McDonald, J. E., Malham, S. K., Hillary, L. S., Connor, T. R., Gaze, W. H., Moura, I. B., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141364 · Cited by 404
Fung, S., Yuen, K., Ye, Z., Chan, C., & Jin, D. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1736644 · Cited by 389
COVID-19: Facts, Cultural Considerations, and Risk of Stigmatization
Bruns, D. P., Kraguljac, N. V., & Bruns, T. R. (2020) · Journal of Transcultural Nursing · doi:10.1177/1043659620917724 · Cited by 299
MERS transmission and risk factors: a systematic review
Park, J., Jung, S., Kim, A., & Park, J. (2018) · BMC Public Health · doi:10.1186/s12889-018-5484-8 · Cited by 284
Heterogeneity in pathogen transmission: mechanisms and methodology
VanderWaal, K. L., & Ezenwa, V. O. (2016) · Functional Ecology · doi:10.1111/1365-2435.12645 · Cited by 295
Middle East Respiratory Syndrome Coronavirus Outbreak in the Republic of Korea, 2015
Prevention, K. C. F. D. C. A. (2015) · Osong Public Health and Research Perspectives · doi:10.1016/j.phrp.2015.08.006 · Cited by 262
"Super-Spreaders" and Person-to-Person Transmission of Andes Virus in Argentina
Martínez, V. P., Di Paola, N., Alonso, D. O., Pérez-Sautu, U., Bellomo, C. M., Iglesias, A. A., Coelho, R. M., López, B., Periolo, N., Larson, P. A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2009040 · Cited by 247
Cluster of Coronavirus Disease 2019 (COVID-19) in the French Alps, February 2020
Danis, K., Épaulard, O., Bénet, T., Gaymard, A., Campoy, S., Botelho-Nevers, É., Bouscambert‐Duchamp, M., Spaccaferri, G., Ader, F., Mailles, A., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa424 · Cited by 233
Animal models for influenza virus pathogenesis, transmission, and immunology
Thangavel, R. R., & Bouvier, N. M. (2014) · Journal of Immunological Methods · doi:10.1016/j.jim.2014.03.023 · Cited by 194
Shedding light on Salmonella carriers
Gopinath, S., Carden, S., & Monack, D. M. (2012) · Trends in Microbiology · doi:10.1016/j.tim.2012.04.004 · Cited by 180
Ghinai, I., Woods, S., Ritger, K. A., McPherson, T. D., Black, S. R., Sparrow, L., Fricchione, M. J., Kerins, J. L., Pacilli, M., Ruestow, P., et al. (2020) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e1 · Cited by 144
Richard, M., & Fouchier, R. A. M. (2015) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuv039 · Cited by 138
Courtenay, O., Carson, C., Calvo-Bado, L. A., Garcez, L. M., & Quinnell, R. J. (2014) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0002583 · Cited by 128
Sneppen, K., Nielsen, B. F., Taylor, R. J., & Simonsen, L. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2016623118 · Cited by 119
Iacono, G. L., Cunningham, A. A., Fichet-Calvet, É., Garry, R. F., Grant, D. S., Khan, S. H., Leach, M., Moses, L., Schieffelin, J. S., Shaffer, J. G., et al. (2015) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0003398 · Cited by 120
Swine as a Model for Influenza A Virus Infection and Immunity
Rajão, D. S., & Vincent, A. L. (2015) · ILAR Journal · doi:10.1093/ilar/ilv002 · Cited by 118
Correa-Martínez, C. L., Kampmeier, S., Kümpers, P., Schwierzeck, V., Hennies, M. T., Hafezi, W., Kühn, J., Pavenstädt, H. J., Ludwig, S., & Mellmann, A. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.00588-20 · Cited by 113
COVID-19: A Risk Assessment Perspective
Schröder, I. (2020) · ACS Chemical Health & Safety · doi:10.1021/acs.chas.0c00035 · Cited by 112
Role of fomites in SARS transmission during the largest hospital outbreak in Hong Kong
Xiao, S., Li, Y., Wong, T.-W., & Hui, D. S. C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181558 · Cited by 108
Mapping genome variation of SARS-CoV-2 worldwide highlights the impact of COVID-19 super-spreadersPreprint
Gómez‐Carballa, A., Bello, X., Pardo‐Seco, J., Martinón‐Torres, F., & Salas, A. (2020) · Genome Research · doi:10.1101/gr.266221.120 · Cited by 107
Nosocomial infection of COVID‑19: A new challenge for healthcare professionals (Review)
Du, Q., Zhang, D., Hu, W., Li, X., Xia, Q., Wen, T., & Jia, H. (2021) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2021.4864 · Cited by 111
Pathways for Novel Epidemiology: Plant–Pollinator–Pathogen Networks and Global Change
Proesmans, W., Albrecht, M., Gajda, A. M., Neumann, P., Paxton, R. J., Pioz, M., Polzin, C., Schweiger, O., Settele, J., Szentgyörgyi, H., et al. (2021) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2021.03.006 · Cited by 102
Exposure Patterns Driving Ebola Transmission in West Africa: A Retrospective Observational Study
International Ebola Response Team, Agua-Agum, J., Ariyarajah, A., Aylward, B., Bawo, L., Bilivogui, P., Blake, I. M., Brennan, R. J., Cawthorne, A., Cleary, E., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002170 · Cited by 104
Evaluating Transmission Heterogeneity and Super-Spreading Event of COVID-19 in a Metropolis of China
Zhang, Y., Li, Y., Wang, L., Li, M., & Zhou, X. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103705 · Cited by 102
Lerner, A. O., Adler, A., Abu-Hanna, J., Percia, S. C., Kazma, M., & Carmeli, Y. (2014) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2014.12.015 · Cited by 99
Infectious Diseases as Socio‐Spatial Processes: The COVID‐19 Outbreak In Germany
Kuebart, A., & Stabler, M. (2020) · Tijdschrift voor Economische en Sociale Geografie · doi:10.1111/tesg.12429 · Cited by 100
A novel methodology for epidemic risk assessment of COVID-19 outbreak
Pluchino, A., Biondo, A. E., Giuffrida, N., Inturri, G., Latora, V., Moli, R. L., Rapisarda, A., Russo, G., & Zappalà, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-82310-4 · Cited by 96
Lee, J., Chowell, G., & Jung, E. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.08.009 · Cited by 95
Kang, C. K., Song, K., Choe, P. G., Park, W. B., Bang, J. H., Kim, E. S., Park, S., Kim, H. B., Kim, N. J., Cho, S., et al. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.5.744 · Cited by 93
Avery, C. N., Bossert, W. H., Clark, A. T., Ellison, G., & Ellison, S. F. (2020) · National Bureau of Economic Research · doi:10.3386/w27007 · Cited by 93
Tacaribe Virus Causes Fatal Infection of An Ostensible Reservoir Host, the Jamaican Fruit Bat
Hawkinson, A., Bowen, R. A., James, S. F., Gardiner, D. W., Calisher, C. H., Adams, R. A., & Schountz, T. (2012) · Journal of Virology · doi:10.1128/jvi.00201-12 · Cited by 88
Fontes, D. H., Reyes, J., Ahmed, K. A., & Kinzel, M. (2020) · Physics of Fluids · doi:10.1063/5.0032006 · Cited by 87
Cancer: a missing link in ecosystem functioning?
Vittecoq, M., Roche, B., Daoust, S. P., Ducasse, H., Missé, D., Abadie, J., Labrut, S., Renaud, F., Gauthier‐Clerc, M., & Frédéric Thomas, A. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.07.005 · Cited by 93
Heterogeneous hosts: how variation in host size, behaviour and immunity affects parasite aggregation
Johnson, P. T. J., & Hoverman, J. T. (2014) · Journal of Animal Ecology · doi:10.1111/1365-2656.12215 · Cited by 86
Lee, J. Y., Kim, Y.-J., Chung, E. H., Kim, D.-W., Jeong, I., Kim, Y., Yun, M.-R., Kim, S. S., Kim, G., & Joh, J.-S. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-017-2576-5 · Cited by 83
Mathematical and computational approaches to epidemic modeling: a comprehensive review
Duan, W., Fan, Z., Zhang, P., Guo, G., & Qiu, X. (2015) · Frontiers of Computer Science · doi:10.1007/s11704-014-3369-2 · Cited by 88
Enriquez, G. F., Búa, J., Orozco, M., Wirth, S. A., Schijman, A. G., Gürtler, R. E., & Cardinal, M. V. (2014) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2014.04.002 · Cited by 80
Human Extinction and the Pandemic Imaginary
Lynteris, C. (2019) · Routledge eBooks · doi:10.4324/9780429322051 · Cited by 86
Rajakaruna, S. J., Liu, W., Ding, Y., & Cao, G. (2017) · Military Medical Research · doi:10.1186/s40779-017-0142-5 · Cited by 76
COVID-19 Super-spreaders: Definitional Quandaries and Implications
Cave, E. (2020) · Asian Bioethics Review · doi:10.1007/s41649-020-00118-2 · Cited by 77
Health Care Workers and Patients as Trojan Horses: a COVID19 ward outbreak
Asad, H., Johnston, C., Blyth, I., Holborow, A., Bone, A., Porter, L., Tidswell, P., & Healy, B. G. (2020) · Infection Prevention in Practice · doi:10.1016/j.infpip.2020.100073 · Cited by 71
Work, T. M., Dagenais, J., Balazs, G. H., Schetle, N., & Ackermann, M. (2014) · Veterinary Pathology · doi:10.1177/0300985814560236 · Cited by 71
Mucins Inhibit Coronavirus Infection in a Glycan-Dependent Manner
Wardzala, C. L., Wood, A. M., Belnap, D. M., & Kramer, J. R. (2022) · ACS Central Science · doi:10.1021/acscentsci.1c01369 · Cited by 68
The Impact of Ventilation and Early Diagnosis on Tuberculosis Transmission in Brazilian Prisons
Urrego, J., Ko, A. I., Carbone, A. D. S. S., Paião, D. S. G., Sgarbi, R. V. E., Yeckel, C. W., Andrews, J. R., & Croda, J. (2015) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.15-0166 · Cited by 67
Characterizing super-spreading in microblog: An epidemic-based information propagation model
Liu, Y., Wang, B., Wu, B., Shang, S., Zhang, Y., & Shi, C. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.07.022 · Cited by 67
Lau, L. L., Ip, D., Nishiura, H., Fang, V. J., Chan, K., Peiris, M. J. S., Leung, G. M., & Cowling, B. J. (2013) · The Journal of Infectious Diseases · doi:10.1093/infdis/jit034 · Cited by 64
Beldoménico, P. M. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.05.025 · Cited by 64
Understanding host utilization by mosquitoes: determinants, challenges and future directions
Yan, J., Gangoso, L., Ruíz, S., Soriguer, R. C., Figuerola, J., & la Puente, J. M. (2021) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12706 · Cited by 62
Final Size of an Epidemic for a Two-Group SIR Model
Magal, P., Seydi, O., & Webb, G. F. (2016) · SIAM Journal on Applied Mathematics · doi:10.1137/16m1065392 · Cited by 60
Chen, Z., Zhang, W., Lu, Y., Guo, C., Guo, Z., Liao, C., Zhang, X., Zhang, Y., Han, X., Li, Q., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.24.919241 · Cited by 60
RetractedResource limitation alters the consequences of co-infection for both hosts and parasites
Budischak, S. A., Sakamoto, K., Megow, L. C., Cummings, K. R., Urban, J. F., & Ezenwa, V. O. (2015) · International Journal for Parasitology · doi:10.1016/j.ijpara.2015.02.005 · Cited by 59
Kim, S. W., Park, J. W., Jung, H., Yang, J., Park, Y.-S., Lee, C., Kim, K. M., Lee, K., Kwon, D., Hur, Y. J., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw768 · Cited by 58
O’Connell, K., Berluti, K., Rhoads, S. A., & Marsh, A. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244974 · Cited by 60
Aiello, C. M., Nussear, K. E., Esque, T. C., Emblidge, P., Sah, P., Bansal, S., & Hudson, P. J. (2016) · Journal of Animal Ecology · doi:10.1111/1365-2656.12511 · Cited by 56
Kim, Y., Ryu, H., & Lee, S. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15112369 · Cited by 54
Chapter 2: Transmission and pathogenesis of tuberculosis
Long, R., Divangahi, M., & Schwartzman, K. (2022) · Canadian Journal of Respiratory Critical Care and Sleep Medicine · doi:10.1080/24745332.2022.2035540 · Cited by 57
Bak, A., Mugglestone, M. A., Ratnaraja, N., Wilson, J. A., Rivett, L., Stoneham, S. M., Bostock, J., Moses, S. E., Price, J. R., Weinbren, M. J., et al. (2021) · Journal of Hospital Infection · doi:10.1016/j.jhin.2021.04.027 · Cited by 53
Lorch, L., Kremer, H., Trouleau, W., Tsirtsis, S., Szanto, A., Schölkopf, B., & Gomez-Rodriguez, M. (2022) · ACM Transactions on Spatial Algorithms and Systems · doi:10.1145/3530774 · Cited by 58
Differential attraction in mosquito–human interactions and implications for disease control
Martinez, J., Showering, A., Oke, C. E., Jones, R. G., & Logan, J. G. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0811 · Cited by 55
Pruvot, M., Khammavong, K., Milavong, P., Philavong, C., Reinharz, D., Mayxay, M., Rattanavong, S., Horwood, P. F., Dussart, P., Douangngeun, B., et al. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.04.266 · Cited by 49
Previously undetected super-spreading of Mycobacterium tuberculosis revealed by deep sequencing
Lee, R. S., Proulx, J., McIntosh, F. A., Behr, M. A., & Hanage, W. P. (2020) · eLife · doi:10.7554/elife.53245 · Cited by 49
Charbonnel, N., Pagès, M., Sironen, T. A., Henttonen, H. A., Vapalahti, O., Mustonen, J. T., & Vaheri, A. I. (2014) · Viruses · doi:10.3390/v6052214 · Cited by 51
Zemenick, A. T., Vannette, R. L., & Rosenheim, J. A. (2021) · Oikos · doi:10.1111/oik.06818 · Cited by 48
Grant, C., Iacono, G. L., Dzingirai, V., Bett, B., Winnebah, T. R. A., & Atkinson, P. M. (2016) · Infectious Diseases of Poverty · doi:10.1186/s40249-016-0110-4 · Cited by 51
Adriaensen, W. J., Dorlo, T. P. C., Vanham, G., Kestens, L., Kaye, P. M., & van Griensven, J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01943 · Cited by 48
Ćwiek, K., Korzekwa, K., Tabiś, A., Bania, J., Bugla‐Płoskońska, G., & Wieliczko, A. (2020) · Pathogens · doi:10.3390/pathogens9080643 · Cited by 46
Kinetics of Immune Responses in Deer Mice Experimentally Infected with Sin Nombre Virus
Schountz, T., Acuña-Retamar, M., Feinstein, S., Prescott, J. B., Torres‐Pérez, F., Podell, B. K., Peters, S., Ye, C., Black, W. C., & Hjelle, B. L. (2012) · Journal of Virology · doi:10.1128/jvi.06875-11 · Cited by 44
Impact of mobility restriction in COVID-19 superspreading events using agent-based model
Lima, L. L., & Atman, A. P. F. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248708 · Cited by 45
Melsew, Y. A., Gambhir, M., Cheng, A. C., McBryde, E. S., Denholm, J. T., Tay, E. L., & Trauer, J. M. (2019) · BMC Infectious Diseases · doi:10.1186/s12879-019-3870-1 · Cited by 46
GSI: An Influential Node Detection Approach in Heterogeneous Network Using Covid-19 as Use Case
Shetty, R. D., Bhattacharjee, S., Dutta, A., & Namtirtha, A. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3180177 · Cited by 42
Communicable Disease Surveillance Ethics in the Age of Big Data and New Technology
Gilbert, G. L., Degeling, C., & Johnson, J. (2019) · Asian Bioethics Review · doi:10.1007/s41649-019-00087-1 · Cited by 42
The daily impact of COVID‐19 in gastroenterology
Magro, F., Abreu, C., & Rahier, J. (2020) · United European Gastroenterology Journal · doi:10.1177/2050640620920157 · Cited by 41
Inexpensive and fast pathogenic bacteria screening using field-effect transistors
Formisano, N., Bhalla, N., Heeran, M. C., Reyes-Martínez, J. E., Sarkar, A., Laabei, M., Jolly, P., Bowen, C., Taylor, J. T., Flitsch, S. L., et al. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.04.063 · Cited by 42
Friedler, A. (2020) · Global Public Health · doi:10.1080/17441692.2020.1828982 · Cited by 41
Cota, W., Soriano‐Paños, D., Arenas, A., Ferreira, S. C., & Gómez‐Gardeñes, J. (2021) · New Journal of Physics · doi:10.1088/1367-2630/ac0c99 · Cited by 41
Yu, P.-D., Tan, C. W., & Fu, H. (2022) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2022.3153168 · Cited by 41
Magal, P., Seydi, O., & Webb, G. F. (2018) · Mathematical Biosciences · doi:10.1016/j.mbs.2018.03.020 · Cited by 40
Superspreading in the emergence of COVID-19 variants
Gómez‐Carballa, A., Pardo‐Seco, J., Bello, X., Martinón‐Torres, F., & Salas, A. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.09.003 · Cited by 42
Spatial super-spreaders and super-susceptibles in human movement networks
Chin, W. C. B., & Bouffanais, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-75697-z · Cited by 39
Routes of Transmission in the Food Chain
Stein, R. A., & Chirilă, M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-385007-2.00003-6 · Cited by 37
Self-citationHulme, P. E., Baker, R., Freckleton, R. P., Hails, R. S., Hartley, M., Harwood, J., Marion, G., Smith, G. C., & Williamson, M. (2020) · NeoBiota · doi:10.3897/neobiota.62.52463 · Cited by 37
Ladoy, A., Opota, O., Carron, P., Guessous, I., Vuilleumier, S., Joost, S., & Greub, G. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.147483 · Cited by 40
Host heterogeneity affects both parasite transmission to and fitness on subsequent hosts
Stephenson, J. F., Young, K. A., Fox, J., Jokela, J., Cable, J., & Perkins, S. E. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0093 · Cited by 36
Biemans, F., de Jong, M. C. M., & Bijma, P. (2017) · Genetics Selection Evolution · doi:10.1186/s12711-017-0327-0 · Cited by 35
Halting SARS-CoV-2 by Targeting High-Contact Individuals
Manzo, G., & van de Rijt, A. (2020) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.4435 · Cited by 38
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Novel 2019 coronavirus: Genome structure, clinical trials, and outstanding questions
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Metadata
- Authors
- Stein, R. A.
- Affiliations
- Princeton University (US)
- Corresponding author
- Stein, Richard A.
- ORCID
- Stein, Richard A.
- Venue
- International Journal of Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 15
- Issue
- 8
- Pages
- e510-e513
- ISSN
- 1201-9712 (ISSN-L)
- PMC
- PMC7110524
- OpenAlex
- W2007300619
- Cited by
- 388
- References
- 53
- Citations by year
- 2026: 18 · 2025: 17 · 2024: 23 · 2023: 16 · 2022: 44 · 2021: 61 · 2020: 90 · 2019: 24 · 2018: 16 · 2017: 15 · 2016: 18 · 2015: 22 · 2014: 12 · 2013: 8 · 2012: 4
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Infectious Diseases (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
- Keywords
- superspreaders, superspreading events, Pareto principle, SARS, infectious disease transmission, host-pathogen interaction, co-infection, immunosuppression, airflow dynamics, misdiagnosis, interhospital transfer, pandemic preparedness, transmission dynamics
- MeSH terms
- Animals, Communicable Diseases, Environment, Humans, Public Health, Severe Acute Respiratory Syndrome, Host-Pathogen Interactions, Pandemics, Coinfection
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