- May 2020
-
www.thelancet.com www.thelancet.com
-
Horton, R. (2020). Offline: Don’t let COVID-19 divert us completely. The Lancet, 395(10236), 1534. https://doi.org/10.1016/S0140-6736(20)31130-2
-
-
www.pnas.org www.pnas.org
-
Stadnytskyi, V., Bax, C. E., Bax, A., & Anfinrud, P. (2020). The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission. Proceedings of the National Academy of Sciences, 202006874. https://doi.org/10.1073/pnas.2006874117
-
-
psyarxiv.com psyarxiv.com
-
Michalak, N. M., Sng, O., Wang, I., & Ackerman, J. (2020, May 14). Sounds of sickness: Can people identify infectious disease using sounds of coughs and sneezes?. https://doi.org/10.1098/rspb.2020.0944
-
-
-
Pichler, Anton, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, and J. Doyne Farmer. “Production Networks and Epidemic Spreading: How to Restart the UK Economy?” ArXiv:2005.10585 [Physics, q-Fin], May 21, 2020. http://arxiv.org/abs/2005.10585.
Tags
- economic growth
- industry
- lang:en
- reopening industry
- input-output constraints
- transmission rate
- supply
- production network
- epidemic spreading
- is:article
- production
- social distincing
- inventory dynamics
- work from home
- United Kingdom
- demand
- economics
- epidemiology
- consumption
- unemployment
- COVID-19
- GDP
Annotators
URL
-
-
www.scirp.org www.scirp.org
-
Makulilo, A. B. (2016). “A Person Is a Person through Other Persons”—A Critical Analysis of Privacy and Culture in Africa. Beijing Law Review, 7(3), 720–726. https://doi.org/10.4236/blr.2016.73020
-
-
www.nature.com www.nature.com
-
Andersen, K.G., Rambaut, A., Lipkin, W.I. et al. The proximal origin of SARS-CoV-2. Nat Med 26, 450–452 (2020). https://doi.org/10.1038/s41591-020-0820-9
-
-
www.sciencedirect.com www.sciencedirect.com
-
Chen, Z. (2020). COVID-19: A revelation – A reply to Ian Mitroff. Technological Forecasting and Social Change, 156, 120072. https://doi.org/10.1016/j.techfore.2020.120072
-
-
-
Johnson, N.F., Velásquez, N., Restrepo, N.J. et al. The online competition between pro- and anti-vaccination views. Nature (2020). https://doi.org/10.1038/s41586-020-2281-1
-
-
www.thelancet.com www.thelancet.com
-
Jordana, J., & Triviño-Salazar, J. C. (2020). Where are the ECDC and the EU-wide responses in the COVID-19 pandemic? The Lancet, S0140673620311326. https://doi.org/10.1016/S0140-6736(20)31132-6
-
-
-
Almaatouq, A., Noriega-Campero, A., Alotaibi, A., Krafft, P. M., Moussaid, M., & Pentland, A. (2020). Adaptive social networks promote the wisdom of crowds. Proceedings of the National Academy of Sciences, 201917687. https://doi.org/10.1073/pnas.1917687117
-
-
science.sciencemag.org science.sciencemag.org
-
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517
-
-
-
Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163
-
-
www.annualreviews.org www.annualreviews.org
-
Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
-
-
www.sciencedirect.com www.sciencedirect.com
-
Lourenco, S. F., & Tasimi, A. (2020). No Participant Left Behind: Conducting Science During COVID-19. Trends in Cognitive Sciences, S1364661320301157. https://doi.org/10.1016/j.tics.2020.05.003
-
-
link.aps.org link.aps.org
-
Vasques Filho, D., & O’Neale, D. R. J. (2020). Transitivity and degree assortativity explained: The bipartite structure of social networks. Physical Review E, 101(5), 052305. https://doi.org/10.1103/PhysRevE.101.052305
-
-
-
Riolo, M. A., & Newman, M. E. J. (2020). Consistency of community structure in complex networks. Physical Review E, 101(5), 052306. https://doi.org/10.1103/PhysRevE.101.052306
-
-
www.tandfonline.com www.tandfonline.com
-
Ruiu, M. L. (2020). Mismanagement of Covid-19: Lessons learned from Italy. Journal of Risk Research, 1–14. https://doi.org/10.1080/13669877.2020.1758755
-
-
www.nejm.org www.nejm.org
-
Arons, M. M., Hatfield, K. M., Reddy, S. C., Kimball, A., James, A., Jacobs, J. R., Taylor, J., Spicer, K., Bardossy, A. C., Oakley, L. P., Tanwar, S., Dyal, J. W., Harney, J., Chisty, Z., Bell, J. M., Methner, M., Paul, P., Carlson, C. M., McLaughlin, H. P., … Jernigan, J. A. (2020). Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. New England Journal of Medicine, NEJMoa2008457. https://doi.org/10.1056/NEJMoa2008457
-
-
www.thelancet.com www.thelancet.com
-
Yong, S. E. F., Anderson, D. E., Wei, W. E., Pang, J., Chia, W. N., Tan, C. W., Teoh, Y. L., Rajendram, P., Toh, M. P. H. S., Poh, C., Koh, V. T. J., Lum, J., Suhaimi, N.-A. M., Chia, P. Y., Chen, M. I.-C., Vasoo, S., Ong, B., Leo, Y. S., Wang, L., & Lee, V. J. M. (2020). Connecting clusters of COVID-19: An epidemiological and serological investigation. The Lancet Infectious Diseases, S1473309920302735. https://doi.org/10.1016/S1473-3099(20)30273-5
-
-
-
Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., Eiriksdottir, B., Fridriksdottir, R., Gardarsdottir, E. E., Georgsson, G., Gretarsdottir, O. S., Gudmundsson, K. R., Gunnarsdottir, T. R., Gylfason, A., Holm, H., … Stefansson, K. (2020). Spread of SARS-CoV-2 in the Icelandic Population. New England Journal of Medicine, NEJMoa2006100. https://doi.org/10.1056/NEJMoa2006100
-
-
academic.oup.com academic.oup.com
-
Danis, K., Epaulard, O., Bénet, T., Gaymard, A., Campoy, S., Bothelo-Nevers, E., Bouscambert-Duchamp, M., Spaccaferri, G., Ader, F., Mailles, A., Boudalaa, Z., Tolsma, V., Berra, J., Vaux, S., Forestier, E., Landelle, C., Fougere, E., Thabuis, A., Berthelot, P., … Bag, B. C. (2020). Cluster of coronavirus disease 2019 (Covid-19) in the French Alps, 2020. Clinical Infectious Diseases, ciaa424. https://doi.org/10.1093/cid/ciaa424
-
-
www.thelancet.com www.thelancet.com
-
Ghinai, I., McPherson, T. D., Hunter, J. C., Kirking, H. L., Christiansen, D., Joshi, K., Rubin, R., Morales-Estrada, S., Black, S. R., Pacilli, M., Fricchione, M. J., Chugh, R. K., Walblay, K. A., Ahmed, N. S., Stoecker, W. C., Hasan, N. F., Burdsall, D. P., Reese, H. E., Wallace, M., … Uyeki, T. M. (2020). First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the USA. The Lancet, 395(10230), 1137–1144. https://doi.org/10.1016/S0140-6736(20)30607-3
-
-
academic.oup.com academic.oup.com
-
Li, W., Zhang, B., Lu, J., Liu, S., Chang, Z., Cao, P., Liu, X., Zhang, P., Ling, Y., Tao, K., & Chen, J. (2020). The characteristics of household transmission of COVID-19. Clinical Infectious Diseases, ciaa450. https://doi.org/10.1093/cid/ciaa450
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S. A., Zhang, T., Gao, W., Cheng, C., Tang, X., Wu, X., Wu, Y., Sun, B., Huang, S., Sun, Y., Zhang, J., … Feng, T. (2020). Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: A retrospective cohort study. The Lancet Infectious Diseases, S1473309920302875. https://doi.org/10.1016/S1473-3099(20)30287-5
-
-
pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
-
Yi, C., Aihong, W., Keqin, D., Haibo, W., Jianmei, W., Hongbo, S., Sijia,W., & Guozhang, X. (2020) The epidemiological characteristics of infection in close contacts of COVID-19 in Ningbo city. Chinese Journal of Epidemiology. Vol. 41 Issue (0):0-0. http://dx.doi.org/10.3760/cma.j.cn112338-20200304-00251
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Smelter, T. J., & Calvillo, D. P. (2020). Pictures and repeated exposure increase perceived accuracy of news headlines. Applied Cognitive Psychology, acp.3684. https://doi.org/10.1002/acp.3684
-
-
link.springer.com link.springer.com
-
Zhong, S., Crang, M., & Zeng, G. (2020). Constructing freshness: The vitality of wet markets in urban China. Agriculture and Human Values, 37(1), 175–185. https://doi.org/10.1007/s10460-019-09987-2
-
-
www.thelancet.com www.thelancet.com
-
Horton, R. (2020). Offline: Independent science advice for COVID-19—at last. The Lancet, 395(10235), 1472. https://doi.org/10.1016/S0140-6736(20)31098-9
-
-
science-sciencemag-org.ezproxy.redlands.edu science-sciencemag-org.ezproxy.redlands.edu
-
Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763
-
-
www.nature.com www.nature.com
-
Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
Tags
- containment measures
- lang:en
- war time
- antibody testing
- open data
- forecast
- public health
- isolation
- intervention
- transmission dynamics
- is:article
- challenge
- pharmaceutical
- infection
- modeling
- contact tracing
- complex network
- policy
- emergency
- epidemiology
- quarentine
- superspreading
- prediction
- computational modeling
- China
- COVID-19
- mathematics
Annotators
URL
-
-
dash.harvard.edu dash.harvard.edu
-
Larremore, Daniel B., Kate M. Bubar, and Yonatan H. Grad. Implications of test characteristics and population seroprevalence on ‘immune passport’ strategies (May 2020).https://dash.harvard.edu/handle/1/42664007
-
-
www.pnas.org www.pnas.org
-
Bento, A. I., Nguyen, T., Wing, C., Lozano-Rojas, F., Ahn, Y.-Y., & Simon, K. (2020). Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases. Proceedings of the National Academy of Sciences, 202005335. https://doi.org/10.1073/pnas.2005335117
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Sood, L., & Sood, V. (2020). Being African American and Rural: A Double Jeopardy from Covid‐19. The Journal of Rural Health, jrh.12459. https://doi.org/10.1111/jrh.12459
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Zahnd, W. E. (2020). The COVID‐19 Pandemic Illuminates Persistent and Emerging Disparities among Rural Black Populations. The Journal of Rural Health, jrh.12460. https://doi.org/10.1111/jrh.12460
Tags
- racial disparity
- black people
- internet
- health equity
- lang:en
- infection rate
- healthcare
- rural health
- telehealth
- outbreak
- death rate
- African American
- screening
- is:article
- access to care
- social determinants of health
- inequality
- demographics
- inadequately prepared
- USA
- hospital
- COVID-19
- testing
Annotators
URL
-
-
arxiv.org arxiv.org
-
Pastor-Satorras, R., & Castellano, C. (2020). The localization of non-backtracking centrality in networks and its physical consequences. ArXiv:2005.03913 [Physics]. http://arxiv.org/abs/2005.03913
-
-
arxiv.org arxiv.org
-
Qian, Y., Expert, P., Panzarasa, P., & Barahona, M. (2020). Geometric graphs from data to aid classification tasks with graph convolutional networks. ArXiv:2005.04081 [Physics, Stat]. http://arxiv.org/abs/2005.04081
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Mehrotra, S., Rahimian, H., Barah, M., Luo, F., & Schantz, K. (2020 May 02). A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19. Naval Research Logistics (NRL). https://doi.org/10.1002/nav.21905
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Thome, J., Coogan, A., Fischer, M., Tucha, O., & Faltraco, F. (2020). Challenges for mental health services during the 2020 Covid‐19 outbreak in Germany. Psychiatry and Clinical Neurosciences, pcn.13019. https://doi.org/10.1111/pcn.13019
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Yao, H., Chen, J., Zhao, M., Qiu, J., Koenen, K. C., Stewart, R., Mellor, D., & Xu, Y. (2020). Mitigating mental health consequences during the COVID ‐19 outbreak: Lessons from China. Psychiatry and Clinical Neurosciences, pcn.13018. https://doi.org/10.1111/pcn.13018
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Riblet, N. B., Stevens, S. P., Watts, B. V., & Shiner, B. (2020). A pandemic of Body, Mind, and Spirit: The Burden of “Social Distancing” in Rural Communities During an Era of Heightened Suicide Risk. The Journal of Rural Health, jrh.12456. https://doi.org/10.1111/jrh.12456
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Casas, R. S., Cooper, J. L., & Hempel, E. V. (2020). COVID‐19 risk triage: Engaging residents in telephonic screening. Medical Education, medu.14211. https://doi.org/10.1111/medu.14211
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Yoshioka‐Maeda, K., Motegi, R. I., & Honda, C. (2020). Preventing the dysfunction of public health centers responding to COVID‐19 by focusing on public health nurses in Japan. Journal of Advanced Nursing, jan.14409. https://doi.org/10.1111/jan.14409
-
-
www.nature.com www.nature.com
-
Li, A., Zhou, L., Su, Q., Cornelius, S. P., Liu, Y.-Y., Wang, L., & Levin, S. A. (2020). Evolution of cooperation on temporal networks. Nature Communications, 11(1), 1–9. https://doi.org/10.1038/s41467-020-16088-w
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Roland, L. T., Gurrola, J. G., Loftus, P. A., Cheung, S. W., & Chang, J. L. (2020). Smell and taste symptom‐based predictive model for COVID‐19 diagnosis. International Forum of Allergy & Rhinology, alr.22602. https://doi.org/10.1002/alr.22602
-
-
journals.plos.org journals.plos.org
-
Rivkind, A., Schreier, H., Brenner, N., & Barak, O. (2020). Scale free topology as an effective feedback system. PLOS Computational Biology, 16(5), e1007825. https://doi.org/10.1371/journal.pcbi.1007825
-
-
psycnet.apa.org psycnet.apa.org
-
Can we count on parents to help their children learn at home? (2020, May 8). Evidence for Action. https://blogs.unicef.org/evidence-for-action/can-we-count-on-parents-to-help-their-children-learn-at-home/
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
Wang, C., Li, W., Drabek, D. et al. A human monoclonal antibody blocking SARS-CoV-2 infection. Nat Commun 11, 2251 (2020). https://doi.org/10.1038/s41467-020-16256-y
-
-
jamanetwork.com jamanetwork.com
-
Gostin, L. O. (2020). COVID-19 Reveals Urgent Need to Strengthen the World Health Organization. JAMA Health Forum, 1(4), e200559–e200559. https://doi.org/10.1001/jamahealthforum.2020.0559
-
-
jamanetwork.com jamanetwork.com
-
Nundy, S., & Patel, K. K. (2020). Hospital-at-Home to Support COVID-19 Surge—Time to Bring Down the Walls? JAMA Health Forum, 1(5), e200504–e200504. https://doi.org/10.1001/jamahealthforum.2020.0504
-
-
jamanetwork.com jamanetwork.com
-
Steinbrook, R. (2020). Contact Tracing, Testing, and Control of COVID-19—Learning From Taiwan. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.2072
-
-
-
Inglesby, T. V. (2020). Public Health Measures and the Reproduction Number of SARS-CoV-2. JAMA. https://doi.org/10.1001/jama.2020.7878
-
-
jamanetwork.com jamanetwork.com
-
Khullar, D., Bond, A. M., & Schpero, W. L. (2020). COVID-19 and the Financial Health of US Hospitals. JAMA. https://doi.org/10.1001/jama.2020.6269
-
-
www.nejm.org www.nejm.org
-
Zagury-Orly, I., & Schwartzstein, R. M. (2020). Covid-19—A Reminder to Reason. New England Journal of Medicine, NEJMp2009405. https://doi.org/10.1056/NEJMp2009405
-
-
catalyst.nejm.org catalyst.nejm.org
-
Guney S., Daniels C., & Childers Z.. (2020 April 30). Using AI to Understand the Patient Voice During the Covid-19 Pandemic. Catalyst Non-Issue Content, 1(2). https://doi.org/10.1056/CAT.20.0103
-
-
-
Dunn, C. G., Kenney, E., Fleischhacker, S. E., & Bleich, S. N. (2020). Feeding Low-Income Children during the Covid-19 Pandemic. New England Journal of Medicine, 382(18), e40. https://doi.org/10.1056/NEJMp2005638
Tags
- lang:en
- health effect
- federal nutrition
- psychological distress
- School Breakfast Program
- children
- is:article
- transmission reduction
- funding
- food insecurity
- low-income
- risk of infection
- social distancing
- government
- financial assistance
- federal aid
- USA
- food
- solution
- adaptation
- National School Lunch Program
- COVID-19
- access
Annotators
URL
-
-
www.nejm.org www.nejm.org
-
Chu, H. Y., Englund, J. A., Starita, L. M., Famulare, M., Brandstetter, E., Nickerson, D. A., Rieder, M. J., Adler, A., Lacombe, K., Kim, A. E., Graham, C., Logue, J., Wolf, C. R., Heimonen, J., McCulloch, D. J., Han, P. D., Sibley, T. R., Lee, J., Ilcisin, M., … Bedford, T. (2020). Early Detection of Covid-19 through a Citywide Pandemic Surveillance Platform. New England Journal of Medicine, NEJMc2008646. https://doi.org/10.1056/NEJMc2008646
-
-
www.nature.com www.nature.com
-
West, R., Michie, S., Rubin, G. J., & Amlôt, R. (2020). Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour, 1–9. https://doi.org/10.1038/s41562-020-0887-9
-
-
arxiv.org arxiv.org
-
Nguyen, C. T., Saputra, Y. M., Van Huynh, N., Nguyen, N.-T., Khoa, T. V., Tuan, B. M., Nguyen, D. N., Hoang, D. T., Vu, T. X., Dutkiewicz, E., Chatzinotas, S., & Ottersten, B. (2020). Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey. ArXiv:2005.02816 [Physics]. http://arxiv.org/abs/2005.02816
-
-
-
Robson, D. (n.d.). The fear of coronavirus is changing our psychology. Retrieved May 7, 2020, from https://www.bbc.com/future/article/20200401-covid-19-how-fear-of-coronavirus-is-changing-our-psychology
-
-
science.sciencemag.org science.sciencemag.org
-
Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., Spector, T. D., Chan, A. T., & Consortium§, C. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. https://doi.org/10.1126/science.abc0473
-
-
www.thelancet.com www.thelancet.com
-
Lipsitch, M., Perlman, S., & Waldor, M. K. (2020). Testing COVID-19 therapies to prevent progression of mild disease. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30372-8
-
-
www.thelancet.com www.thelancet.com
-
Psychiatry, T. L. (2020). Mental health and COVID-19: Change the conversation. The Lancet Psychiatry, 0(0). https://doi.org/10.1016/S2215-0366(20)30194-2
-
-
www.thelancet.com www.thelancet.com
-
Wells, C. R., Stearns, J. K., Lutumba, P., & Galvani, A. P. (2020). COVID-19 on the African continent. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30374-1
-
-
blogs.lse.ac.uk blogs.lse.ac.uk
-
The Coronavirus (COVID-19) outbreak highlights serious deficiencies in scholarly communication. (2020, March 5). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2020/03/05/the-coronavirus-covid-19-outbreak-highlights-serious-deficiencies-in-scholarly-communication/
-
-
journals.plos.org journals.plos.org
-
Ross-Hellauer, T., Tennant, J. P., Banelytė, V., Gorogh, E., Luzi, D., Kraker, P., Pisacane, L., Ruggieri, R., Sifacaki, E., & Vignoli, M. (2020). Ten simple rules for innovative dissemination of research. PLOS Computational Biology, 16(4), e1007704. https://doi.org/10.1371/journal.pcbi.1007704
-
-
www.thelancet.com www.thelancet.com
-
Graeden, E., Carlson, C., & Katz, R. (2020). Answering the right questions for policymakers on COVID-19. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30191-1
-
-
www.nature.com www.nature.com
-
Desai, A., Warner, J., Kuderer, N., Thompson, M., Painter, C., Lyman, G., & Lopes, G. (2020). Crowdsourcing a crisis response for COVID-19 in oncology. Nature Cancer, 1–4. https://doi.org/10.1038/s43018-020-0065-z
-
-
www.cmu.edu www.cmu.edu
-
Bruine De Bruin, W., Fischhoff, B., Brilliant, L., & Caruso, D. (2006). Expert judgments of pandemic influenza risks. Global Public Health, 1(2), 179–194. https://doi.org/10.1080/17441690600673940
-
-
www.thelancet.com www.thelancet.com
-
Orcutt, M., Patel, P., Burns, R., Hiam, L., Aldridge, R., Devakumar, D., Kumar, B., Spiegel, P., & Abubakar, I. (2020). Global call to action for inclusion of migrants and refugees in the COVID-19 response. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30971-5
-
-
jamanetwork.com jamanetwork.com
-
Butler, S. M. (2020). After COVID-19—Thinking Differently About Running the Health Care System. JAMA Health Forum, 1(4), e200478–e200478. https://doi.org/10.1001/jamahealthforum.2020.0478
-
-
www.medrxiv.org www.medrxiv.org
-
Shental, N., Levy, S., Skorniakov, S., Wuvshet, V., Shemer-Avni, Y., Porgador, A., & Hertz, T. (2020). Efficient high throughput SARS-CoV-2 testing to detect asymptomatic carriers. MedRxiv, 2020.04.14.20064618. https://doi.org/10.1101/2020.04.14.20064618
-
-
www.thelancet.com www.thelancet.com
-
Glynn, J. R. (2020). Protecting workers aged 60–69 years from COVID-19. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30311-X
-
-
doi.org doi.org
-
Randazzo, W., Truchado, P., Ferrando, E. C., Simon, P., Allende, A., & Sanchez, G. (2020). SARS-CoV-2 RNA titers in wastewater anticipated COVID-19 occurrence in a low prevalence area. MedRxiv, 2020.04.22.20075200. https://doi.org/10.1101/2020.04.22.20075200
-
-
www.thelancet.com www.thelancet.com
-
Yu, N., Li, W., Kang, Q., Zeng, W., Feng, L., & Wu, J. (2020). No SARS-CoV-2 detected in amniotic fluid in mid-pregnancy. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30320-0
-
-
www.cambridge.org www.cambridge.org
-
Gruszczynski, L. (2020). The Covid-19 Pandemic and International Trade: Temporary Turbulences or Paradigm Shift? European Journal of Risk Regulation, 1-6. doi:10.1017/err.2020.29
Tags
- turbulence
- lang:en
- trade
- supply chain
- temporary
- international
- USA
- China
- paradigm
- Germany
- shift
- is:article
- consequence
- COVID-19
Annotators
URL
-
-
jamanetwork.com jamanetwork.com
-
Walensky, R. P., & Rio, C. del. (2020). From Mitigation to Containment of the COVID-19 Pandemic: Putting the SARS-CoV-2 Genie Back in the Bottle. JAMA. https://doi.org/10.1001/jama.2020.6572
-
-
www.cell.com www.cell.com
-
Goddard, E. (n.d.). The impact of COVID-19 on food retail and food service in Canada: Preliminary assessment. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, n/a(n/a). https://doi.org/10.1111/cjag.12243
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Dey, S. K., Rahman, M. M., Siddiqi, U. R., & Howlader, A. (n.d.). Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25743
-
-
www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
-
Sun, K., & Viboud, C. (2020). Impact of contact tracing on SARS-CoV-2 transmission. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30357-1
-
-
jamanetwork.com jamanetwork.com
-
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., Tan, H., Kang, L., Yao, L., Huang, M., Wang, H., Wang, G., Liu, Z., & Hu, S. (2020). Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Network Open, 3(3), e203976–e203976. https://doi.org/10.1001/jamanetworkopen.2020.3976
-
-
www.scientificamerican.com www.scientificamerican.com
-
Krzywinski, M. F., Martin. (n.d.). Virus Mutations Reveal How COVID-19 Really Spread. Scientific American. Retrieved May 6, 2020, from https://www.scientificamerican.com/article/virus-mutations-reveal-how-covid-19-really-spread1/
-
-
www.tandfonline.com www.tandfonline.com
-
Fenton, N. E., Neil, M., Osman, M., & McLachlan, S. (2020). COVID-19 infection and death rates: The need to incorporate causal explanations for the data and avoid bias in testing. Journal of Risk Research, 0(0), 1–4. https://doi.org/10.1080/13669877.2020.1756381
-
-
www.thelancet.com www.thelancet.com
-
The Lancet Child & Adolescent Health. (2020). Pandemic school closures: Risks and opportunities. The Lancet Child & Adolescent Health, S235246422030105X. https://doi.org/10.1016/S2352-4642(20)30105-X
-
-
www.thelancet.com www.thelancet.com
-
Clay, J. M., & Parker, M. O. (2020). Alcohol use and misuse during the COVID-19 pandemic: A potential public health crisis? The Lancet Public Health, S2468266720300888. https://doi.org/10.1016/S2468-2667(20)30088-8
-
-
www.thelancet.com www.thelancet.com
-
Lee, J. (2020). Mental health effects of school closures during COVID-19. The Lancet Child & Adolescent Health, S2352464220301097. https://doi.org/10.1016/S2352-4642(20)30109-7
-
-
jamanetwork.com jamanetwork.com
-
Galea, S., Merchant, R. M., & Lurie, N. (2020). The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.1562
-
-
www.thelancet.com www.thelancet.com
-
Cortese, S., Asherson, P., Sonuga-Barke, E., Banaschewski, T., Brandeis, D., Buitelaar, J., Coghill, D., Daley, D., Danckaerts, M., Dittmann, R. W., Doepfner, M., Ferrin, M., Hollis, C., Holtmann, M., Konofal, E., Lecendreux, M., Santosh, P., Rothenberger, A., Soutullo, C., … Simonoff, E. (2020). ADHD management during the COVID-19 pandemic: Guidance from the European ADHD Guidelines Group. The Lancet Child & Adolescent Health, S2352464220301103. https://doi.org/10.1016/S2352-4642(20)30110-3
-
-
www.thelancet.com www.thelancet.com
-
Webster, P. (2020). Virtual health care in the era of COVID-19. The Lancet, 395(10231), 1180–1181. https://doi.org/10.1016/S0140-6736(20)30818-7
-
-
www.imperial.ac.uk www.imperial.ac.uk
-
Seth Flaxman, Swapnil Mishra, Axel Gandy et al. Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. Imperial College London (2020), doi:https://doi.org/10.25561/77731
-
-
www.thelancet.com www.thelancet.com
-
Zhang, J. et al. (2020, April 2). Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. The Lancet: Infectious Diseases. https://doi.org/10.1016/S1473-3099(20)30230-9.
-
-
-
Fan, R., Xu, K., & Zhao, J. (2020). Weak ties strengthen anger contagion in social media. ArXiv:2005.01924 [Cs]. http://arxiv.org/abs/2005.01924
-
-
-
Pham, T. M., Kondor, I., Hanel, R., & Thurner, S. (2020). The effect of social balance on social fragmentation. ArXiv:2005.01815 [Nlin, Physics:Physics]. http://arxiv.org/abs/2005.01815
-
-
-
Kojaku, S., Hébert-Dufresne, L., & Ahn, Y.-Y. (2020). The effectiveness of contact tracing in heterogeneous networks. ArXiv:2005.02362 [Physics, q-Bio]. http://arxiv.org/abs/2005.02362
-
-
www.wipo.int www.wipo.int
-
WIPO Launches Tool to Track IP Policy Information in Member States during COVID-19 Pandemic. (n.d.). Retrieved May 6, 2020, from https://www.wipo.int/export/sites/www/shared/images/socialmedia/covid19_policy_tracker_1200.jpg
-
-
theconversation.com theconversation.com
-
Munafo, M. (n.d.). What you need to know about how coronavirus is changing science. The Conversation. Retrieved May 6, 2020, from http://theconversation.com/what-you-need-to-know-about-how-coronavirus-is-changing-science-137641
-
-
arxiv.org arxiv.org
-
Serrano, J. C. M., Papakyriakopoulos, O., & Hegelich, S. (2020). Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok. ArXiv:2004.05478 [Cs]. http://arxiv.org/abs/2004.05478
-
-
epjdatascience.springeropen.com epjdatascience.springeropen.com
-
Vilella, S., Paolotti, D., Ruffo, G. et al. News and the city: understanding online press consumption patterns through mobile data. EPJ Data Sci. 9, 10 (2020). https://doi.org/10.1140/epjds/s13688-020-00228-9
-
-
www.medrxiv.org www.medrxiv.org
-
Modi, C., Boehm, V., Ferraro, S., Stein, G., & Seljak, U. (2020). Total COVID-19 Mortality in Italy: Excess Mortality and Age Dependence through Time-Series Analysis. MedRxiv, 2020.04.15.20067074. https://doi.org/10.1101/2020.04.15.20067074
-
-
www.thelancet.com www.thelancet.com
-
Leon, D. A., Shkolnikov, V. M., Smeeth, L., Magnus, P., Pechholdová, M., & Jarvis, C. I. (2020). COVID-19: A need for real-time monitoring of weekly excess deaths. The Lancet, 395(10234), e81. https://doi.org/10.1016/S0140-6736(20)30933-8
-
-
www.sciencedirect.com www.sciencedirect.com
-
Hart, O. E., & Halden, R. U. (2020). Computational analysis of SARS-CoV-2/COVID-19 surveillance by wastewater-based epidemiology locally and globally: Feasibility, economy, opportunities and challenges. Science of The Total Environment, 730, 138875. https://doi.org/10.1016/j.scitotenv.2020.138875
-
-
misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
-
Nsoesie, E. O., & Oladeji, O. (2020). Identifying patterns to prevent the spread of misinformation during epidemics. Harvard Kennedy School Misinformation Review, COVID-19 and Misinformation. https://doi.org/10.37016/mr-2020-014
Tags
- algorithm
- lang:en
- spread
- healthcare
- transmission
- vaccination
- prevention
- public health
- treatment
- is:article
- misinformation
- COVID-19
Annotators
URL
-
-
www.medrxiv.org www.medrxiv.org
-
Wurtzer, S., Marechal, V., Mouchel, J.-M., & Moulin, L. (2020). Time course quantitative detection of SARS-CoV-2 in Parisian wastewaters correlates with COVID-19 confirmed cases. MedRxiv, 2020.04.12.20062679. https://doi.org/10.1101/2020.04.12.20062679
-
-
-
Viehweger, A., Kühnl, F., Brandt, C., & König, B. (2020). Increased PCR screening capacity using a multi-replicate pooling scheme. MedRxiv, 2020.04.16.20067603. https://doi.org/10.1101/2020.04.16.20067603
-
-
arxiv.org arxiv.org
-
Müller, M., Derlet, P. M., Mudry, C., & Aeppli, G. (2020). Using random testing to manage a safe exit from the COVID-19 lockdown. ArXiv:2004.04614 [Cond-Mat, Physics:Physics, q-Bio]. http://arxiv.org/abs/2004.04614
-
-
misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
-
Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020). Why do people believe COVID-19 conspiracy theories? Harvard Kennedy School Misinformation Review, 1(COVID-19 and Misinformation). https://doi.org/10.37016/mr-2020-015
-
-
www.thelancet.com www.thelancet.com
-
Lohse, S., Pfuhl, T., Berkó-Göttel, B., Rissland, J., Geißler, T., Gärtner, B., Becker, S. L., Schneitler, S., & Smola, S. (2020). Pooling of samples for testing for SARS-CoV-2 in asymptomatic people. The Lancet Infectious Diseases, S1473309920303625. https://doi.org/10.1016/S1473-3099(20)30362-5
-
-
dl.acm.org dl.acm.org
-
Epstein, Z., Pennycook, G., & Rand, D. (2020). Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3313831.3376232
-
-
misinforeview.hks.harvard.edu misinforeview.hks.harvard.edu
-
Dias, N., Pennycook, G., & Rand, D. G. (2020). Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media. Harvard Kennedy School Misinformation Review, 1(1). https://doi.org/10.37016/mr-2020-001
-
-
link.aps.org link.aps.org
-
Krönke, J., Wunderling, N., Winkelmann, R., Staal, A., Stumpf, B., Tuinenburg, O. A., & Donges, J. F. (2020). Dynamics of tipping cascades on complex networks. Physical Review E, 101(4), 042311. https://doi.org/10.1103/PhysRevE.101.042311
-
-
www.thelancet.com www.thelancet.com
-
Kalu, B. (2020). COVID-19 in Nigeria: A disease of hunger. The Lancet Respiratory Medicine, S2213260020302204. https://doi.org/10.1016/S2213-2600(20)30220-4
-
- Apr 2020
-
www.thelancet.com www.thelancet.com
-
Ahmad, A., Chung, R., Eckenwiler, L., Ganguli, A. M., Hunt, M., Richards, R., Saghai, Y., Schwartz, L., Scully, J. L., & Wild, V. (2020). What does it mean to be made vulnerable in the era of COVID-19? The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30979-X
-
-
www.thelancet.com www.thelancet.com
-
Townsend, E., Nielsen, E., Allister, R., & Cassidy, S. A. (2020). Key ethical questions for research during the COVID-19 pandemic. The Lancet Psychiatry, 7(5), 381–383. https://doi.org/10.1016/S2215-0366(20)30150-4
-
-
-
Chaves, M. S., Mattos, T. G., & Atman, A. P. F. (2020). Characterizing network topology using first-passage analysis. Physical Review E, 101(4), 042123. https://doi.org/10.1103/PhysRevE.101.042123
-
-
www.medrxiv.org www.medrxiv.org
-
Adams, E. R., Anand, R., Andersson, M. I., Auckland, K., Baillie, J. K., Barnes, E., Bell, J., Berry, T., Bibi, S., Carroll, M., Chinnakannan, S., Clutterbuck, E., Cornall, R. J., Crook, D. W., Silva, T. D., Dejnirattisai, W., Dingle, K. E., Dold, C., Eyre, D. W., … Sanchez, V. (2020). Evaluation of antibody testing for SARS-Cov-2 using ELISA and lateral flow immunoassays. MedRxiv, 2020.04.15.20066407. https://doi.org/10.1101/2020.04.15.20066407
-
-
www.nejm.org www.nejm.org
-
El-Sadr, W. M., & Justman, J. (2020). Africa in the Path of Covid-19. New England Journal of Medicine, 0(0), null. https://doi.org/10.1056/NEJMp2008193
-
-
-
Han, L., Lin, Z., Tang, M., Zhou, J., Zou, Y., & Guan, S. (2020). Impact of contact preference on social contagions on complex networks. Physical Review E, 101(4), 042308. https://doi.org/10.1103/PhysRevE.101.042308
-
-
www.emc-lab.org www.emc-lab.org
-
-
Jiang, C., Gao, J., & Magdon-Ismail, M. (2020). Inferring Degrees from Incomplete Networks and Nonlinear Dynamics. ArXiv:2004.10546 [Physics]. http://arxiv.org/abs/2004.10546
-
-
www.scientificamerican.com www.scientificamerican.com
-
Butler, S. B. O., Robb. (n.d.). The World Health Organization Needs to Put Human Behavior at the Center of Its Initiatives. Scientific American. Retrieved April 24, 2020, from https://www.scientificamerican.com/article/the-world-health-organization-needs-to-put-human-behavior-at-the-center-of-its-initiatives/
-
-
www.thelancet.com www.thelancet.com
-
Hargreaves, S., Zenner, D., Wickramage, K., Deal, A., & Hayward, S. E. (2020). Targeting COVID-19 interventions towards migrants in humanitarian settings. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30292-9
-
-
www.nature.com www.nature.com
-
Researchers: Show world leaders how to behave in a crisis. (2020). Nature, 580(7801), 7–7. https://doi.org/10.1038/d41586-020-00926-4
-
-
www.thelancet.com www.thelancet.com
-
Mullard, A. (2020). Flooded by the torrent: The COVID-19 drug pipeline. The Lancet, 395(10232), 1245–1246. https://doi.org/10.1016/S0140-6736(20)30894-1
-
-
www.nature.com www.nature.com
-
Morey, R.A., Haswell, C.C., Stjepanović, D. et al. Neural correlates of conceptual-level fear generalization in posttraumatic stress disorder. Neuropsychopharmacol. (2020). https://doi.org/10.1038/s41386-020-0661-8
-
-
www.thelancet.com www.thelancet.com
-
Cowling, B. J., Ali, S. T., Ng, T. W. Y., Tsang, T. K., Li, J. C. M., Fong, M. W., Liao, Q., Kwan, M. Y., Lee, S. L., Chiu, S. S., Wu, J. T., Wu, P., & Leung, G. M. (2020). Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: An observational study. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30090-6
-
-
bmcmedicine.biomedcentral.com bmcmedicine.biomedcentral.com
-
Whitty, C. J. M. (2015). What makes an academic paper useful for health policy? BMC Medicine, 13(1), 301. https://doi.org/10.1186/s12916-015-0544-8
-
-
www.cambridge.org www.cambridge.org
-
Spadaro, A. (undefined/ed). COVID-19: TESTING THE LIMITS OF HUMAN RIGHTS. European Journal of Risk Regulation, 1–7. https://doi.org/10.1017/err.2020.27
Tags
- human rights
- lang:en
- Trump
- freedom
- democracy
- law
- limit
- USA
- France
- interference
- intervention
- is:article
- Macron
- COVID-19
Annotators
URL
-
-
www.thelancet.com www.thelancet.com
-
Nay, O. (2020). Can a virus undermine human rights? The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30092-X
-
-
oxfordmedicine.com oxfordmedicine.com
-
Daniels, N. (n.d.). Justice, Resource Allocation, and Emergency Preparedness: Issues Regarding Stockpiling. In Emergency Ethics. Oxford University Press. Retrieved April 9, 2020, from https://oxfordmedicine.com/view/10.1093/med/9780190270742.001.0001/med-9780190270742-chapter-3
-
-
science.sciencemag.org science.sciencemag.org
-
Braun, J. von, Zamagni, S., & Sorondo, M. S. (2020). The moment to see the poor. Science, 368(6488), 214–214. https://doi.org/10.1126/science.abc2255
-
-
www.sciencedirect.com www.sciencedirect.com
-
Phillips, N. D., Hertwig, R., Kareev, Y., & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. Cognition, 133(1), 104–119. https://doi.org/10.1016/j.cognition.2014.06.006
-
-
jamanetwork.com jamanetwork.com
-
Park, S., Choi, G. J., & Ko, H. (2020). Information Technology–Based Tracing Strategy in Response to COVID-19 in South Korea—Privacy Controversies. JAMA. https://doi.org/10.1001/jama.2020.6602
-
-
jamanetwork.com jamanetwork.com
-
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., Barnaby, D. P., Becker, L. B., Chelico, J. D., Cohen, S. L., Cookingham, J., Coppa, K., Diefenbach, M. A., Dominello, A. J., Duer-Hefele, J., Falzon, L., Gitlin, J., Hajizadeh, N., Harvin, T. G., … Zanos, T. P. (2020). Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA. https://doi.org/10.1001/jama.2020.6775
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Goddard, E. (n.d.). The impact of COVID-19 on food retail and food service in Canada: Preliminary assessment. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, n/a(n/a). https://doi.org/10.1111/cjag.12243
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Barichello, R. (n.d.). The COVID-19 Pandemic: Anticipating its Effects on Canada’s Agricultural Trade. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, n/a(n/a). https://doi.org/10.1111/cjag.12244
-
-
academic.oup.com academic.oup.com
-
Sun, J., Shi, Z., & Xu, H. (n.d.). Non-pharmaceutical interventions used for COVID-19 had a major impact on reducing influenza in China in 2020. Journal of Travel Medicine. https://doi.org/10.1093/jtm/taaa064
-
-
www.nejm.org www.nejm.org
-
Tang, J. W., & Settles, G. S. (2008). Coughing and Aerosols. New England Journal of Medicine, 359(15), e19. https://doi.org/10.1056/NEJMicm072576
-
-
www.thelancet.com www.thelancet.com
-
Dureab, F., Al-Awlaqi, S., & Jahn, A. (2020). COVID-19 in Yemen: Preparedness measures in a fragile state. The Lancet Public Health, 0(0). https://doi.org/10.1016/S2468-2667(20)30101-8
-
-
www.thelancet.com www.thelancet.com
-
Rasmussen, S., Sperling, P., Poulsen, M. S., Emmersen, J., & Andersen, S. (2020). Medical students for health-care staff shortages during the COVID-19 pandemic. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30923-5
-
-
behavioralscientist.org behavioralscientist.org
-
Epistemic Humility—Knowing Your Limits in a Pandemic—By Erik Angner. (2020, April 13). Behavioral Scientist. https://behavioralscientist.org/epistemic-humility-coronavirus-knowing-your-limits-in-a-pandemic/
-
-
www.pnas.org www.pnas.org
-
Bles, A. M. van der, Linden, S. van der, Freeman, A. L. J., & Spiegelhalter, D. J. (2020). The effects of communicating uncertainty on public trust in facts and numbers. Proceedings of the National Academy of Sciences, 117(14), 7672–7683. https://doi.org/10.1073/pnas.1913678117
-
-
www.nature.com www.nature.com
-
Wang, Z., Tang, K. Combating COVID-19: health equity matters. Nat Med (2020). https://doi.org/10.1038/s41591-020-0823-6
-
-
www.thelancet.com www.thelancet.com
-
Bayham, J. & Fenichel, E.P. (2020 April 3). Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study. The Lancet. DOI: https://doi.org/10.1016/S2468-2667(20)30082-7.
-
-
advances.sciencemag.org advances.sciencemag.org
-
Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances, 6(14), eaay3539. https://doi.org/10.1126/sciadv.aay3539.
-
-
www.bmj.com www.bmj.com
-
Wynants, L., Van Calster, B., Bonten, M. M. J., Collins, G. S., Debray, T. P. A., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G. M., Riley, R. D., Schuit, E., Smits, L. J. M., Snell, K. I. E., Steyerberg, E. W., Wallisch, C., & van Smeden, M. (2020). Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. BMJ, m1328. https://doi.org/10.1136/bmj.m1328
-
-
www.thelancet.com www.thelancet.com
-
Newton, P. N., Bond, K. C., Adeyeye, M., Antignac, M., Ashenef, A., Awab, G. R., Babar, Z.-U.-D., Bannenberg, W. J., Bond, K. C., Bower, J., Breman, J., Brock, A., Caillet, C., Coyne, P., Day, N., Deats, M., Douidy, K., Doyle, K., Dujardin, C., … Zaman, M. (2020). COVID-19 and risks to the supply and quality of tests, drugs, and vaccines. The Lancet Global Health, S2214109X20301364. https://doi.org/10.1016/S2214-109X(20)30136-4
-
-
www.thelancet.com www.thelancet.com
-
Xu, S., & Li, Y. (2020). Beware of the second wave of COVID-19. The Lancet, S014067362030845X. https://doi.org/10.1016/S0140-6736(20)30845-X
-
-
www.nature.com www.nature.com
-
Leung, N.H.L., Chu, D.K.W., Shiu, E.Y.C. et al. Respiratory virus shedding in exhaled breath and efficacy of face masks. Nat Med (2020). https://doi.org/10.1038/s41591-020-0843-2
-
-
ij-healthgeographics.biomedcentral.com ij-healthgeographics.biomedcentral.com
-
Kamel Boulos, M.N., Geraghty, E.M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19, 8 (2020). https://doi.org/10.1186/s12942-020-00202-8
-
-
www.nature.com www.nature.com
-
McKee, M., Stuckler, D. If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future. Nat Med (2020). https://doi.org/10.1038/s41591-020-0863-y
-
-
www.thelancet.com www.thelancet.com
-
Kentikelenis, A., Gabor, D., Ortiz, I., Stubbs, T., McKee, M., & Stuckler, D. (2020). Softening the blow of the pandemic: Will the International Monetary Fund and World Bank make things worse? The Lancet Global Health, S2214109X20301352. https://doi.org/10.1016/S2214-109X(20)30135-2
-
-
www.thelancet.com www.thelancet.com
-
Hall, K. S., Samari, G., Garbers, S., Casey, S. E., Diallo, D. D., Orcutt, M., Moresky, R. T., Martinez, M. E., & McGovern, T. (2020). Centring sexual and reproductive health and justice in the global COVID-19 response. The Lancet, 395(10231), 1175–1177. https://doi.org/10.1016/S0140-6736(20)30801-1
-
-
www.thelancet.com www.thelancet.com
-
Ahmed, F. et al. (2020 April 02). Why inequality could spread COVID-19. The Lancet. DOI: https://doi.org/10.1016/S2468-2667(20)30085-2.
-
-
www.thelancet.com www.thelancet.com
-
Viner, R. M., et al. (2020 April 06). School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. The Lancet. DOI: https://doi.org/10.1016/S2352-4642(20)30095-X.
-
-
www.thelancet.com www.thelancet.com
-
Redefining vulnerability in the era of COVID-19. (2020 April 04). The Lancet. 395 (10230). DOI: https://doi.org/10.1016/S0140-6736(20)30757-1.
-
-
www.thelancet.com www.thelancet.com
-
Martinez-Alvarez, M. et al. (2020 April 01). COVID-19 pandemic in west africa. The Lancet. DOI: https://doi.org/10.1016/S2214-109X(20)30123-6.
-
-
arxiv.org arxiv.org
-
Kerzendorf, W. E., Patat, F., Bordelon, D., van de Ven, G., & Pritchard, T. A. (2020). Distributed peer review enhanced with natural language processing and machine learning. Nature Astronomy. https://doi.org/10.1038/s41550-020-1038-y
-
-
www.medrxiv.org www.medrxiv.org
-
Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754
-
-
jamanetwork.com jamanetwork.com
-
Pan, A., Liu, L., Wang, C., Guo, H., Hao, X., Wang, Q., Huang, J., He, N., Yu, H., Lin, X., Wei, S., & Wu, T. (2020). Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China. JAMA. https://doi.org/10.1001/jama.2020.6130
-
-
science.sciencemag.org science.sciencemag.org
-
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020). Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science, eabb5793. https://doi.org/10.1126/science.abb5793
-
-
www.cell.com www.cell.com
-
Callaghan, S. (2020). COVID-19 Is a Data Science Issue. Patterns, 100022. https://doi.org/10.1016/j.patter.2020.100022
-
-
www.cell.com www.cell.com
-
Justman, Q. (2020). Keeping the Wheels of the Scientific Endeavor Turning during the COVID-19 Pandemic. Cell Systems, S2405471220301137. https://doi.org/10.1016/j.cels.2020.03.007
-
-
journal.sjdm.org journal.sjdm.org
-
Dhami, Mandeep & Olsson, Henrik. (2008). Evolution of the interpersonal conflict paradigm. Judgment and Decision Making. 3. 547-569. http://journal.sjdm.org/8510/jdm8510.pdf
-
-
www.nature.com www.nature.com
-
Antov, M.I., Plog, E., Bierwirth, P. et al. Visuocortical tuning to a threat-related feature persists after extinction and consolidation of conditioned fear. Sci Rep 10, 3926 (2020). https://doi.org/10.1038/s41598-020-60597-z
-
-
-
Perakslis, E. (2020). A Primer on Biodefense Data Science for Pandemic Preparedness. Patterns, 1(1), 100018. https://doi.org/10.1016/j.patter.2020.100018
-
-
-
Dyer, O. (2020). Covid-19: Black people and other minorities are hardest hit in US. BMJ, m1483. https://doi.org/10.1136/bmj.m1483
-
-
-
Thornton, J. (2020). Clinicians are leading service reconfiguration to cope with covid-19. BMJ, m1444. https://doi.org/10.1136/bmj.m1444
-
-
www.bmj.com www.bmj.com
-
Changoiwala, P. (2020). The doctors navigating covid-19 with no internet. BMJ, m1417. https://doi.org/10.1136/bmj.m1417
-
-
www.thelancet.com www.thelancet.com
-
Black, J. R. M., Bailey, C., Przewrocka, J., Dijkstra, K. K., & Swanton, C. (2020). COVID-19: The case for health-care worker screening to prevent hospital transmission. The Lancet, S014067362030917X. https://doi.org/10.1016/S0140-6736(20)30917-X
-
-
www.thelancet.com www.thelancet.com
-
Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., Dighe, A., Griffin, J. T., Baguelin, M., Bhatia, S., Boonyasiri, A., Cori, A., Cucunubá, Z., FitzJohn, R., Gaythorpe, K., … Ferguson, N. M. (2020). Estimates of the severity of coronavirus disease 2019: A model-based analysis. The Lancet Infectious Diseases, S1473309920302437. https://doi.org/10.1016/S1473-3099(20)30243-7
-
-
www.thelancet.com www.thelancet.com
-
Cheng, K. K., Lam, T. H., & Leung, C. C. (2020). Wearing face masks in the community during the COVID-19 pandemic: Altruism and solidarity. The Lancet, S0140673620309181. https://doi.org/10.1016/S0140-6736(20)30918-1
-
-
gateway2.itc.u-tokyo.ac.jp:11002 gateway2.itc.u-tokyo.ac.jp:11002
-
Dorn, A. van, Cooney, R. E., & Sabin, M. L. (2020). COVID-19 exacerbating inequalities in the US. The Lancet, 395(10232), 1243–1244. https://doi.org/10.1016/S0140-6736(20)30893-X
-
-
www.thelancet.com www.thelancet.com
-
Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, S2215036620301681. https://doi.org/10.1016/S2215-0366(20)30168-1
-
-
journals.plos.org journals.plos.org
-
Sumner, P., Vivian-Griffiths, S., Boivin, J., Williams, A., Bott, L., Adams, R., Venetis, C. A., Whelan, L., Hughes, B., & Chambers, C. D. (2016). Exaggerations and Caveats in Press Releases and Health-Related Science News. PLOS ONE, 11(12), e0168217. https://doi.org/10.1371/journal.pone.0168217
-
-
www.pnas.org www.pnas.org
-
Herz, N., Dan, O., Censor, N., & Bar-Haim, Y. (2020). Opinion: Authors overestimate their contribution to scientific work, demonstrating a strong bias. Proceedings of the National Academy of Sciences, 117(12), 6282–6285. https://doi.org/10.1073/pnas.2003500117
-
-
www.nature.com www.nature.com
-
Viglione, G. (2020). A year without conferences? How the coronavirus pandemic could change research. Nature, 579(7799), 327–328. https://doi.org/10.1038/d41586-020-00786-y
-
-
-
Wagner, A. F. (2020). What the stock market tells us about the post-COVID-19 world. Nature Human Behaviour, 1–1. https://doi.org/10.1038/s41562-020-0869-y
-
-
www.pnas.org www.pnas.org
-
Stavroglou, S. K., Pantelous, A. A., Stanley, H. E., & Zuev, K. M. (2020). Unveiling causal interactions in complex systems. Proceedings of the National Academy of Sciences, 117(14), 7599–7605. https://doi.org/10.1073/pnas.1918269117
-
-
advances.sciencemag.org advances.sciencemag.org
-
Chirikov, I., Semenova, T., Maloshonok, N., Bettinger, E., & Kizilcec, R. F. (2020). Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost. Science Advances, 6(15), eaay5324. https://doi.org/10.1126/sciadv.aay5324
-
-
www.nature.com www.nature.com
-
Gog, J. R. (2020). How you can help with COVID-19 modelling. Nature Reviews Physics, 1–2. https://doi.org/10.1038/s42254-020-0175-7
-
-
www.nature.com www.nature.com
-
Powell, K. (2020). Science-ing from home. Nature, 580(7803), 419–421. https://doi.org/10.1038/d41586-020-00935-3
-
-
www.pnas.org www.pnas.org
-
Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., Datta, D., Davidson, T., Filippova, A., Gilroy, C., Goode, B. J., Jahani, E., Kashyap, R., Kirchner, A., McKay, S., … McLanahan, S. (2020). Measuring the predictability of life outcomes with a scientific mass collaboration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1915006117
-
-
www.cambridge.org www.cambridge.org
-
Torsello, M., & Winkler, M. M. (undefined/ed). Coronavirus-infected international business transactions: A preliminary diagnosis. European Journal of Risk Regulation, 1–8. https://doi.org/10.1017/err.2020.30
Tags
Annotators
URL
-
-
arxiv.org arxiv.org
-
Crutchfield, J. P. (2020). The Hidden Fragility of Complex Systems—Consequences of Change, Changing Consequences. ArXiv:2003.11153 [Cond-Mat, Physics:Nlin, Physics:Physics]. http://arxiv.org/abs/2003.11153
-
-
www.cmu.edu www.cmu.edu
-
Fischhoff, B., de Bruin, W. B., Güvenç, Ü., Caruso, D., & Brilliant, L. (2006). Analyzing disaster risks and plans: An avian flu example. Journal of Risk and Uncertainty, 33(1–2), 131–149. https://doi.org/10.1007/s11166-006-0175-8
-
-
www.nature.com www.nature.com
-
Chater, N. (2020). Facing up to the uncertainties of COVID-19. Nature Human Behaviour, 1–1. https://doi.org/10.1038/s41562-020-0865-2
-
-
Local file Local file
-
DP-3T/documents. (n.d.). GitHub. Retrieved April 17, 2020, from https://github.com/DP-3T/documents
Tags
- privacy
- lang:en
- proximity
- preserving
- data
- protection
- decentralized
- security
- tacking
- is:article
- tracing
Annotators
-
-
www.cambridge.org www.cambridge.org
Tags
- communication
- lang:en
- rule
- risk
- control
- response
- preparation
- Korea
- community
- outbreak
- diagnosis
- involvement
- is:article
- COVID-19
Annotators
URL
-
-
oxfordmedicine.com oxfordmedicine.com
-
Bernheim, R. G. (n.d.). Public Engagement in Emergency Preparedness and Response: Ethical Perspectives in Public Health Practice. In Emergency Ethics. Oxford University Press. Retrieved April 17, 2020, from https://oxfordmedicine.com/view/10.1093/med/9780190270742.001.0001/med-9780190270742-chapter-5
-
-
www.ons.gov.uk www.ons.gov.uk
-
Deaths involving COVID-19, England and Wales—Office for National Statistics. (n.d.). Retrieved April 20, 2020, from https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsinvolvingcovid19englandandwales/deathsoccurringinmarch2020
-
-
www.sciencedirect.com www.sciencedirect.com
-
Webster, R. K., Brooks, S. K., Smith, L. E., Woodland, L., Wessely, S., & Rubin, G. J. (2020). How to improve adherence with quarantine: Rapid review of the evidence. Public Health. https://doi.org/10.1016/j.puhe.2020.03.007
-
-
jamanetwork.com jamanetwork.com
-
Jewell, N. P., Lewnard, J. A., & Jewell, B. L. (2020). Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections. JAMA. https://doi.org/10.1001/jama.2020.6585
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Giangreco, G. (n.d.). Case fatality rate analysis of Italian COVID-19 outbreak. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25894
-
-
onlinelibrary.wiley.com onlinelibrary.wiley.com
-
Abdulla, A., Wang, B., Qian, F., Kee, T., Blasiak, A., Ong, Y. H., Hooi, L., Parekh, F., Soriano, R., Olinger, G. G., Keppo, J., Hardesty, C. L., Chow, E. K., Ho, D., & Ding, X. (n.d.). Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention. Advanced Therapeutics, n/a(n/a), 2000034. https://doi.org/10.1002/adtp.202000034
-
-
www.thelancet.com www.thelancet.com
-
Lancet, T. (2020). COVID-19 in the USA: A question of time. The Lancet, 395(10232), 1229. https://doi.org/10.1016/S0140-6736(20)30863-1
-
-
papers.ssrn.com papers.ssrn.com
-
Thunstrom, L., Newbold, S., Finnoff, D., Ashworth, M., & Shogren, J. F. (2020). The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19 (SSRN Scholarly Paper ID 3561934). Social Science Research Network. https://doi.org/10.2139/ssrn.3561934
-
-
www.thelancet.com www.thelancet.com
-
Meyer, J. P., Franco-Paredes, C., Parmar, P., Yasin, F., & Gartland, M. (2020). COVID-19 and the coming epidemic in US immigration detention centres. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30295-4
-
-
arxiv.org arxiv.org
-
Alam, F., Sajjad, H., Imran, M., & Ofli, F. (2020). Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ArXiv:2004.06774 [Cs]. http://arxiv.org/abs/2004.06774
-
-
www.thelancet.com www.thelancet.com
-
Peto, J., Alwan, N. A., Godfrey, K. M., Burgess, R. A., Hunter, D. J., Riboli, E., Romer, P., Buchan, I., Colbourn, T., Costelloe, C., Smith, G. D., Elliott, P., Ezzati, M., Gilbert, R., Gilthorpe, M. S., Foy, R., Houlston, R., Inskip, H., Lawlor, D. A., … Yao, G. L. (2020). Universal weekly testing as the UK COVID-19 lockdown exit strategy. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30936-3
-
-
www.thelancet.com www.thelancet.com
-
Ranscombe, P. (2020). Rural areas at risk during COVID-19 pandemic. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30301-7
-