The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application
Open accessPublished version of a preprint
Abstract
BACKGROUND: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. OBJECTIVE: To estimate the length of the incubation period of COVID-19 and describe its public health implications. DESIGN: Pooled analysis of confirmed COVID-19 cases reported between 4 January 2020 and 24 February 2020. SETTING: News reports and press releases from 50 provinces, regions, and countries outside Wuhan, Hubei province, China. PARTICIPANTS: Persons with confirmed SARS-CoV-2 infection outside Hubei province, China. MEASUREMENTS: Patient demographic characteristics and dates and times of possible exposure, symptom onset, fever onset, and hospitalization. RESULTS: There were 181 confirmed cases with identifiable exposure and symptom onset windows to estimate the incubation period of COVID-19. The median incubation period was estimated to be 5.1 days (95% CI, 4.5 to 5.8 days), and 97.5% of those who develop symptoms will do so within 11.5 days (CI, 8.2 to 15.6 days) of infection. These estimates imply that, under conservative assumptions, 101 out of every 10 000 cases (99th percentile, 482) will develop symptoms after 14 days of active monitoring or quarantine. LIMITATION: Publicly reported cases may overrepresent severe cases, the incubation period for which may differ from that of mild cases. CONCLUSION: This work provides additional evidence for a median incubation period for COVID-19 of approximately 5 days, similar to SARS. Our results support current proposals for the length of quarantine or active monitoring of persons potentially exposed to SARS-CoV-2, although longer monitoring periods might be justified in extreme cases. PRIMARY FUNDING SOURCE: U.S. Centers for Disease Control and Prevention, National Institute of Allergy and Infectious Diseases, National Institute of General Medical Sciences, and Alexander von Humboldt Foundation.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The cumulative incidence of Covid-19 cases over time among placebo and vaccine recipients begins to diverge by 12 days after the first dose, 7 days after the estimated median viral incubation period of 5 days,10 indicating the early onset of a partially protective effect of immunization.”
From Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine (2020) · cites this paper as [10]
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
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
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
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Chan, J., Yuan, S.-F., Kok, K.-H., To, K., Chu, H., Yang, J., Xing, F., Liu, J.-L., Yip, C., Poon, R., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30154-9 · Cited by 8,450
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany
Rothe, C., Schunk, M., Sothmann, P., Bretzel, G., Froeschl, G., Wallrauch, C., Zimmer, T., Thiel, V., Jänke, C., Guggemos, W., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001468 · Cited by 4,211
CDC Weekly, C., & The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (2020) · China CDC Weekly · doi:10.46234/ccdcw2020.032 · Cited by 2,889
Backer, J. A., Klinkenberg, D., & Wallinga, J. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.5.2000062 · Cited by 1,546
Linton, N. M., Kobayashi, T., Yang, Y., Hayashi, K., Akhmetzhanov, A. R., Jung, S.-M., Yuan, B., Kinoshita, R., & Nishiura, H. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020538 · Cited by 1,376
The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (2020) · PubMed · Cited by 1,277
Flagged first, then by citations
Research works printed but not linked: 1
- Varia M, 2003, CMAJ, 169, 285
Cited by
Sorted by citations
Items 801–900 of 1,007
COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior
Bhouri, M. A., Costabal, F. S., Wang, H., Linka, K., Peirlinck, M., Ellen Kuhl, A., & Perdikaris, P. G. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2021.113891 · Cited by 59
Husaini, A. M., Jan, K. N., & Wani, G. A. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07068 · Cited by 57
Mijwil, M. M. (2021) · Iraqi Journal of Science · doi:10.24996/ijs.2021.62.6.35 · Cited by 56
Occupancy-aided ventilation for both airborne infection risk control and work productivity
Zhang, S., Ai, Z., & Lin, Z. (2020) · Building and Environment · doi:10.1016/j.buildenv.2020.107506 · Cited by 55
Estimating internationally imported cases during the early COVID-19 pandemic
Menkir, T. F., Chin, T., Hay, J. A., Surface, E. D., Salazar, P. M. D., Buckee, C. O., Watts, A., Khan, K., Sherbo, R., Yan, A. W. C., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20219-8 · Cited by 56
Predicting mortality rate and associated risks in COVID-19 patients
Satpathy, S., Mangla, M., Sharma, N., Deshmukh, H., & Mohanty, S. N. (2021) · Spatial Information Research · doi:10.1007/s41324-021-00379-5 · Cited by 56
Hunter, P. R., Colón‐González, F. J., Brainard, J. S., & Rushton, S. (2021) · Eurosurveillance · doi:10.2807/1560-7917.es.2021.26.28.2001401 · Cited by 59
Bowling Alone or Masking Together? The Role of Social Capital in Excess Death Rates from COVID19
Fraser, T., Aldrich, D. P., & Page-Tan, C. M. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114241 · Cited by 65
Probable aircraft transmission of Covid-19 in-flight from the Central African Republic to France
Eldin, C., Lagier, J., Mailhe, M., & Gautret, P. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101643 · Cited by 56
Staying connected during the COVID-19 pandemic
Ng, Q. X., Chee, K. T., Deyn, M. L. Z. Q. D., & Chua, Z. (2020) · International Journal of Social Psychiatry · doi:10.1177/0020764020926562 · Cited by 56
Gupta, S., & Federman, D. G. (2020) · Postgraduate Medicine · doi:10.1080/00325481.2020.1761668 · Cited by 55
Wilmink, G., Summer, I., Marsyla, D., Sukhu, S., Grote, J., Zobel, G., Fillit, H. M., & Movva, S. (2020) · JMIR Public Health and Surveillance · doi:10.2196/20828 · Cited by 54
Kaushik, M., Agarwal, D., & Gupta, A. K. (2020) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2020-138349 · Cited by 55
Critical complications of COVID-19: A descriptive meta-analysis study
Vakili, K. G., Fathi, M., Sayehmiri, F., Mohamadkhani, A., Hajiesmaeili, M., Rezaei–Tavirani, M., & Pezeshgi, A. (2020) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm.2020.03.129 · Cited by 58
Insights into SARS-CoV-2 Persistence and Its Relevance
Desimmie, B. A., Raru, Y., Awadh, H., He, P., Teka, S., & Willenburg, K. S. (2021) · Viruses · doi:10.3390/v13061025 · Cited by 58
Monitoring respiratory infections in covid-19 epidemics
Chan, K. H., Lee, P.-W., Chan, C. Y., Lam, H. K. B., & Ho, P. (2020) · BMJ · doi:10.1136/bmj.m1628 · Cited by 55
A reconsideration of Lean Six Sigma in healthcare after the COVID-19 crisis
Kuiper, A., Lee, R. H., van Ham, V. J. J., & Does, R. J. M. M. (2021) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-01-2021-0013 · Cited by 61
Herd immunity is not a realistic exit strategy during a COVID-19 outbreakPreprint
Slot, E., Hogema, B. M., Reusken, C. B. E. M., Reimerink, J. H. J., Molier, M., Karregat, J. H. M., IJlst, J., Novotny, V. M. J., van Lier, R. A. W., & Zaaijer, H. L. (2020) · Research Square · doi:10.21203/rs.3.rs-25862/v1 · Cited by 55
Altered mental status as a novel initial clinical presentation for COVID-19 infection in the elderly
Ward, C. F., Figiel, G. S., & McDonald, W. M. (2020) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2020.05.013 · Cited by 54
Ghafur, A. K., & Bansal, N. (2020) · Cancer Research Statistics and Treatment · doi:10.4103/crst.crst_92_20 · Cited by 54
Reno, C., Lenzi, J., Navarra, A., Barelli, E., Gori, D., Lanza, A., Valentini, R., Tang, B., & Fantini, M. P. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051492 · Cited by 54
Cho, J., Kang, S. H., Park, H. C., Kim, D. K., Lee, S. H., Do, J. Y., Park, J. W., Kim, S. N., Kim, M. S., Jin, K., et al. (2020) · Journal of the American Society of Nephrology · doi:10.1681/asn.2020040461 · Cited by 54
de Sousa, Á. F. L., Queiroz, A. A. F. L. N., Lima, S. V. M. A., Almeida, P. D., de Oliveira, L. B., Chone, J. S., de Araújo, T. M. E., Brignol, S., de Sousa, A. R., Mendes, I. A. C., et al. (2020) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00202420 · Cited by 54
Perspectives in Peptide-Based Vaccination Strategies for Syndrome Coronavirus 2 Pandemic
Natale, C. D., Manna, S. L., Benedictis, I. D., Brandi, P., & Marasco, D. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.578382 · Cited by 54
HGF, IL-1α, and IL-27 Are Robust Biomarkers in Early Severity Stratification of COVID-19 Patients
Tamayo-Velasco, Á., Martínez-Paz, P., Peñarrubia-Ponce, M. J., de la Fuente, I., González, S. P., Fernández, I., Dueñas, C., Gómez‐Sánchez, E., Lorenzo‐López, M., Gómez‐Pesquera, E., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10092017 · Cited by 55
Cell Death in Coronavirus Infections: Uncovering Its Role during COVID-19
Paolini, A., Borella, R., Biasi, S. D., Neroni, A., Mattioli, M., Tartaro, D. L., Simonini, C., Franceschini, L., Cicco, G., Piparo, A. M., et al. (2021) · Cells · doi:10.3390/cells10071585 · Cited by 55
Catucci, A., Scognamiglio, U., & Rossi, L. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.718877 · Cited by 60
Phan, T., Brozak, S. J., Pell, B., Gitter, A., Xiao, A., Mena, K. D., Kuang, Y., & Wu, F. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159326 · Cited by 51
Lin, Y.-F., Duan, Q., Zhou, Y., Yuan, T., Li, P., Fitzpatrick, T., Fu, L., Feng, A., Luo, G., Zhan, Y., et al. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.00321 · Cited by 54
Mitigation and herd immunity strategy for COVID-19 is likely to failPreprint
Adamik, B., Bawiec, M. A., Bezborodov, V., Böck, W., Bodych, M., Burgard, J. P., Götz, T., Krueger, T., Migalska, A., Pabjan, B., et al. (2020) · medRxiv · doi:10.1101/2020.03.25.20043109 · Cited by 58
Perez-Saez, J., Zaballa, M.-E., Yerly, S., Andrey, D. O., Meyer, B., Eckerle, I., Balavoine, J.-F., Chappuis, F., Pittet, D., Trono, D., et al. (2021) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2021.06.040 · Cited by 46
Self-citationTransmission onset distribution of COVID-19
Chun, J. Y., Baek, G., & Kim, Y. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.07.075 · Cited by 53
Zou, R., Chen, F., Chen, D., Xu, C.-L., & Xiong, F. (2020) · Renal Failure · doi:10.1080/0886022x.2020.1816179 · Cited by 53
Emerging biosensing technologies for improved diagnostics of COVID-19 and future pandemics
Chen, L., Zhang, G., Liu, L., & Li, Z. (2020) · Talanta · doi:10.1016/j.talanta.2020.121986 · Cited by 53
Risk mapping for COVID-19 outbreaks in Australia using mobility data
Zachreson, C., Mitchell, L., Lydeamore, M., Rebuli, N., Tomko, M., & Geard, N. L. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2020.0657 · Cited by 53
Kephart, J. L., Delclòs‐Alió, X., Rodrı́guez, D. A., Sarmiento, O. L., Barrientos‐Gutiérrez, T., Ramírez‐Zea, M., Quistberg, D. A., Bilal, U., & Roux, A. V. D. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(21)00174-6 · Cited by 54
An, T. W., Henry, J. K., Igboechi, O. R., Wang, P., Yerrapragada, A., Lin, C. A., & Paiement, G. D. (2020) · Journal of the American Academy of Orthopaedic Surgeons · doi:10.5435/jaaos-d-20-00397 · Cited by 53
Why COVID-19 models should incorporate the network of social interactions
Herrmann, H. A., & Schwartz, J. (2020) · Physical Biology · doi:10.1088/1478-3975/aba8ec · Cited by 53
Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
Hussain, T., Ozair, M., Ali, F., Rehman, S. U., Assiri, T. A. R., & Mahmoud, E. E. (2021) · Results in Physics · doi:10.1016/j.rinp.2021.103956 · Cited by 53
Measuring global multi-scale place connectivity using geotagged social media data
Li, Z.-L., Huang, X., Ye, X.-Y., Jiang, Y.-Q., Martín, Y., Ning, H., Hodgson, M., & Li, X.-M. (2021) · Scientific Reports · doi:10.1038/s41598-021-94300-7 · Cited by 49
Estimating effects of physical distancing on the COVID-19 pandemic using an urban mobility indexPreprint
Soucy, J.-P. R., Sturrock, S. L., Berry, I., Westwood, D. J., Daneman, N., MacFadden, D. R., & Brown, K. A. (2020) · medRxiv · doi:10.1101/2020.04.05.20054288 · Cited by 57
Safely restarting GI endoscopy in the era of COVID-19
Hayee, B., Thoufeeq, M., Rees, C. J., Penman, I. D., & East, J. E. (2020) · Gut · doi:10.1136/gutjnl-2020-321688 · Cited by 52
Walker, A., Houwaart, T., Wienemann, T., Vasconcelos, M. K., Strelow, D. R., Senff, T., Hülse, L., Adams, O., Andrée, M., Hauka, S., et al. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.22.2000746 · Cited by 53
Starshinova, A. A., Kushnareva, E. A., Malkova, A. M., Dovgalyuk, I. F., & Kudlay, D. A. (2020) · Вопросы современной педиатрии · doi:10.15690/vsp.v19i2.2105 · Cited by 56
Wee, L. E., Sim, X. Y. J., Conceicao, E. P., Aung, M. K., Tan, K. Y., Ko, K. K. K., Wong, H. M., Wijaya, L., Tan, B. H., Venkatachalam, I., et al. (2020) · American Journal of Infection Control · doi:10.1016/j.ajic.2020.06.188 · Cited by 52
Gu, T., Chu, Q., Yu, Z., Fa, B., Li, A., Xu, L., He, Y., & Wu, R. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-038976 · Cited by 55
Modeling the transmission dynamics of COVID-19 epidemic: a systematic review
Guan, J., Wei, Y., Zhao, Y. C., & Chen, F. (2020) · Journal of Biomedical Research · doi:10.7555/jbr.34.20200119 · Cited by 55
Monitoring the COVID-19 epidemic with nationwide telecommunication data
Persson, J., Parie, J. F., & Feuerriegel, S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2100664118 · Cited by 52
Risk factors associated with mortality of COVID-19 in 3125 counties of the United States
Tian, T., Zhang, J., Hu, L., Jiang, Y., Duan, C., Li, Z., Wang, X., & Heping Zhang, D. (2021) · Infectious Diseases of Poverty · doi:10.1186/s40249-020-00786-0 · Cited by 52
Impact of a New SARS-CoV-2 Variant on the Population: A Mathematical Modeling Approach
González‐Parra, G., Martínez‐Rodríguez, D., & Villanueva, R. J. (2021) · Mathematical and Computational Applications · doi:10.3390/mca26020025 · Cited by 55
Childs, M. L., Kain, M. P., Harris, M., Kirk, D., Couper, L., Nova, N., Delwel, I., Ritchie, J., Becker, A. D., & Mordecai, E. A. (2021) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.0811 · Cited by 55
Ayoub, H. H., Mumtaz, G. R., Seedat, S., Makhoul, M., Chemaitelly, H. S., & Abu-Raddad, L. J. (2021) · Global Epidemiology · doi:10.1016/j.gloepi.2021.100068 · Cited by 48
Chen, X., Huang, Z., Wang, J., Zhao, S., Wong, M. C. S., Chong, K. C., He, D., & Li, J. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049752 · Cited by 53
Coletti, P., Libin, P., Petrof, O., Willem, L., Abrams, S., Herzog, S. A., Faes, C., Wambua, J., Kuylen, E., COVID-19 team the SIMID, et al. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06092-w · Cited by 56
Evaluation of COVID-19 epidemic outbreak caused by temporal contact-increase in South Korea
Kim, S., Jeong, Y. D., Byun, J. H., Cho, G., Park, A., Jung, J. H., Roh, Y., Choi, S., Muhammad, I. M., & Jung, I. H. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.05.036 · Cited by 51
Martorell‐Marugán, J., Villatoro-García, J. A., García-Moreno, A., López-Domínguez, R., Requena, F., Merelo, J. J., Lacasaña, M., Luna, J. D. D., Díaz‐Mochon, J. J., Lorente, J. A., et al. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141424 · Cited by 51
Neurological Complications of COVID-19 and Possible Neuroinvasion Pathways: A Systematic Review
Orrù, G., Conversano, C., Malloggi, E., Francesconi, F., Ciacchini, R., & Gemignani, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186688 · Cited by 78
Kerr, G. H., Badr, H. S., Gardner, L., Perez‐Saez, J., & Zaitchik, B. F. (2021) · One Health · doi:10.1016/j.onehlt.2021.100225 · Cited by 51
Optimizing Spatial Allocation of COVID‐19 Vaccine by Agent‐Based Spatiotemporal Simulations
Zhou, S., Zhou, S., Zheng, Z., & Lu, J. (2021) · GeoHealth · doi:10.1029/2021gh000427 · Cited by 48
Stay at Home! Governance Quality and Effectiveness of Lockdown
Alfano, V., & Ercolano, S. (2021) · Social Indicators Research · doi:10.1007/s11205-021-02742-3 · Cited by 51
Lucas, B., Vahedi, B., & Karimzadeh, M. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00295-9 · Cited by 58
Janus kinase inhibitors for the treatment of COVID-19
Kramer, A., Prinz, C., Fichtner, F., Fischer, A.-L., Thieme, V., Grundeis, F., Spagl, M., Seeber, C., Piechotta, V., Metzendorf, M., et al. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd015209 · Cited by 52
Modelling COVID 19 in the Basque Country from introduction to control measure response
Aguiar, M., Ortuondo, E. M., Van-Dierdonck, J. B., Mar, J., & Stollenwerk, N. (2020) · Scientific Reports · doi:10.1038/s41598-020-74386-1 · Cited by 54
Effects of latency and age structure on the dynamics and containment of COVID-19
Blyuss, K. B., & Kyrychko, Y. N. (2021) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2021.110587 · Cited by 54
Han, M., Ooka, R., Kikumoto, H., Oh, W., Bu, Y., & Hu, S. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108293 · Cited by 53
An, B., Porcher, S., Tang, S., & Kim, E. E. (2021) · Public Administration Review · doi:10.1111/puar.13426 · Cited by 53
Noll, N. B., Aksamentov, I., Druelle, V., Badenhorst, A., Ronzani, B., Jefferies, G., Albert, J., & Neher, R. A. (2020) · medRxiv · doi:10.1101/2020.05.05.20091363 · Cited by 57
Pellaud, C., Grandmaison, G., Thien, H. P. P. H., Baumberger, M., Carrel, G., Ksouri, H., Erard, V., Chuard, C. R., Hayoz, D., & Sridharan, G. O. (2020) · Swiss Medical Weekly · doi:10.4414/smw.2020.20314 · Cited by 49
Barillari, M. R., Bastiani, L., Lechien, J. R., Mannelli, G., Molteni, G., Cantarella, G., Coppola, N., Costa, G., Trecca, E. M. C., Grillo, C., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26354 · Cited by 49
Containment of COVID-19: the unprecedented response of Saudi Arabia
Obeid, D. A., Alhamlan, F. S., Al-Qahtani, A. A., & Al‐Ahdal, M. N. (2020) · The Journal of Infection in Developing Countries · doi:10.3855/jidc.13203 · Cited by 49
Methotrexate inhibits SARS‐CoV‐2 virus replication “in vitro”
Caruso, A., Caccuri, F., Bugatti, A., Zani, A., Vanoni, M., Bonfanti, P., Cazzaniga, M. E., Perno, C. F., Messa, C., & Alberghina, L. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26512 · Cited by 50
Zhao, Z., Sokhansanj, B. A., Malhotra, C., Zheng, K., & ROSEN, G. L. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008269 · Cited by 51
Singh, P., Tripathi, M. K., Yasir, M., Khare, R., Tripathi, M. K., & Shrivastava, R. (2020) · Plant Foods for Human Nutrition · doi:10.1007/s11130-020-00861-9 · Cited by 50
Analysis of COVID-19 Cases' Spatial Dependence in US Counties Reveals Health Inequalities
Saffary, T., Adegboye, O. A., Gayawan, E., Elfaki, F. A. M., Kuddus, M. A., & Saffary, R. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.579190 · Cited by 49
Global and local mobility as a barometer for COVID-19 dynamics
Linka, K., Goriely, A., & Ellen Kuhl, A. (2021) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-020-01408-2 · Cited by 49
How will mass-vaccination change COVID-19 lockdown requirements in Australia?
Zachreson, C., Chang, S. L., Cliff, O. M., & Prokopenko, M. (2021) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2021.100224 · Cited by 49
High-resolution within-sewer SARS-CoV-2 surveillance facilitates informed intervention
Reeves, K., Liebig, J., Feula, A., Saldi, T. K., Lasda, E. L., Johnson, W., Lilienfeld, J., Maggi, J., Pulley, K., Wilkerson, P. J., et al. (2021) · Water Research · doi:10.1016/j.watres.2021.117613 · Cited by 47
Hortaçsu, A., Liu, J., & Schwieg, T. (2020) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.07.047 · Cited by 62
Binny, R. N., Priest, P. C., French, N. P., Parry, M. F., Lustig, A. G., Hendy, S. C., Maclaren, O. J., Ridings, K., Steyn, N., Vattiato, G., et al. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac317 · Cited by 50
Modeling COVID-19 Dynamics in Illinois under Nonpharmaceutical Interventions
Wong, G. N., Weiner, Z. J., Tkachenko, A. V., Elbanna, A., Maslov, S., & Goldenfeld, N. D. (2020) · Physical Review X · doi:10.1103/physrevx.10.041033 · Cited by 53
On the Effect of the Respiratory Droplet Generation Condition on COVID-19 Transmission
Shafaghi, A. H., Talabazar, F. R., Koşar, A., & Ghorbani, M. (2020) · Fluids · doi:10.3390/fluids5030113 · Cited by 51
Malik, H., Anees, T., & Mui-zzud-din (2022) · Multimedia Systems · doi:10.1007/s00530-021-00878-3 · Cited by 50
Ke, R., Sanche, S., Romero-Severson, E. O., & Hengartner, N. (2020) · medRxiv · doi:10.1101/2020.04.04.20050427 · Cited by 54
Cadegiani, F., Wambier, C. G., & Goren, A. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.00453 · Cited by 49
Bhandari, P., Subramaniam, S., Bourke, M. J., Alkandari, A. A., Chiu, P. W. Y., Brown, J. F., Keswani, R. N., Bisschops, R., Hassan, C., Raju, G. S., et al. (2020) · Gut · doi:10.1136/gutjnl-2020-322329 · Cited by 49
Gaglione, D., Braca, P., Millefiori, L. M., Soldi, G., Forti, N., Maranò, S., Willett, P., & Pattipati, K. R. (2020) · IEEE Access · doi:10.1109/access.2020.3019922 · Cited by 50
Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India
Asirvatham, E. S., Sarman, C. J., Saravanamurthy, S. P., Periasamy, M., Maduraipandian, S., & Jeyaseelan, L. (2020) · Clinical Epidemiology and Global Health · doi:10.1016/j.cegh.2020.09.010 · Cited by 49
Lu, Q., Zhang, Y., Liu, M.-J., Zhang, H., Jalali, N., Zhang, A.-R., Li, J.-C., Zhao, H., Song, Q.-Q., Zhao, T.-S., et al. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.40.2000250 · Cited by 49
Mustafa, R., Alrabadi, N., Alshali, R. Z., Khader, Y. S., & Ahmad, D. M. (2020) · European Journal of Dentistry · doi:10.1055/s-0040-1719212 · Cited by 49
D’Orazio, M., Bernardini, G., & Quagliarini, E. (2021) · Building Simulation · doi:10.1007/s12273-021-0770-2 · Cited by 49
Post-Acute COVID-19 Neurological Syndrome: A New Medical Challenge
Nuzzo, D., Vasto, S., Scalisi, L., Cottone, S., Cambula, G., Rizzo, M., Giacomazza, D., & Picone, P. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10091947 · Cited by 50
Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data
García-Cremades, S., Morales-García, J., Hernández-Sanjaime, R., Martínez‐España, R., Bueno-Crespo, A., Hernández‐Orallo, E., López-Espín, J. J., & Cecilia, J. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-94696-2 · Cited by 49
Jairoun, A. A., Al‐Hemyari, S. S., El‐Dahiyat, F., Jairoun, M., Shahwan, M. J., Al‐Ani, M., Habeb, M., & Babar, Z.-U.-D. (2022) · Journal of Pharmaceutical Policy and Practice · doi:10.1186/s40545-022-00422-2 · Cited by 50
Knight, G. M., Pham, T. M., Stimson, J. A., Funk, S., Jafari, Y., Pople, D., Evans, S., Mo, Y., Brown, C. S., Bhattacharya, A., et al. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07490-4 · Cited by 49
Firoozbakhtian, A., Hosseini, M., Sheikholeslami, M. N., Salehnia, F., Xu, G., Rabbani, H., & Sobhanie, E. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c03502 · Cited by 49
Kenney, S. P., Wang, Q., Vlasova, A. N., Jung, K., & Saif, L. J. (2020) · Veterinary Pathology · doi:10.1177/0300985820980842 · Cited by 47
Filtration efficiency, breathability, and reusability of improvised materials for face masks
Bagheri, M. H., Khalaji, I., Azizi, A., Loibl, R. T., Basualdo, N., Manzo, S., Gorrepati, M. L., Mehendale, S., Mohr, C., & Schiffres, S. N. (2021) · Aerosol Science and Technology · doi:10.1080/02786826.2021.1898537 · Cited by 49
Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2021) · Medical Decision Making · doi:10.1177/0272989x211013306 · Cited by 54
Social capital's impact on COVID-19 outcomes at local levels
Fraser, T., Page-Tan, C. M., & Aldrich, D. P. (2021) · Scientific Reports · doi:10.1038/s41598-022-10275-z · Cited by 64
Lofgren, E., Lum, K., Horowitz, A., Mabubuonwu, B., Myers, K., & Fefferman, N. H. (2022) · Epidemiology · doi:10.1097/ede.0000000000001476 · Cited by 55
Metadata
- Authors
- Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J.
- Affiliations
- Johns Hopkins University (US)
- University of Massachusetts Amherst (US)
- Corresponding author
- Lessler, Justin
- ORCID
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2020-05-05
- Volume
- 172
- Issue
- 9
- Pages
- 577-582
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- PMC
- PMC7081172
- OpenAlex
- W3010233963
- Cited by
- 5,970
- References
- 26
- Citations by year
- 2026: 64 · 2025: 131 · 2024: 249 · 2023: 453 · 2022: 938 · 2021: 1871 · 2020: 2257
- FWCI
- 219.21
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nd
- Locations
- Annals of Internal Medicine (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion)
- PUBLISSO (German National Library of Medicine) (submittedVersion)
- ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion, other-oa)
- Funders
- Alexander von Humboldt-Stiftung
- Johns Hopkins University
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Institute of General Medical Sciences (R35GM119582)
- National Institute of Allergy and Infectious Diseases
- Fogarty International Center
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, incubation period, symptom onset, quarantine duration, active monitoring, confirmed cases, disease surveillance, disease control
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Adult, China, Female, Humans, Male, Middle Aged, Pneumonia, Viral, Retrospective Studies, Coronavirus Infections, Infectious Disease Incubation Period, Pandemics
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