Weissleder, R., Lee, H., Ko, J. & Pittet, M. J. COVID-19 diagnostics in context. Sci. Transl Med. 12, eabc1931 (2020).
Zhu, N. et al. A novel coronavirus from patients with pneumonia in China, 2019. N. Engl. J. Med. 382, 727–733 (2020). DOI: 10.1056/NEJMoa2001017
Oh, J. et al. National response to COVID-19 in the Republic of Korea and lessons learned for other countries. Health Syst. Reform. 6, e1753464 (2020).
Phua, J. et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations. Lancet Respir. Med. 8, 506–517 (2020).
Wölfel, R. et al. Virological assessment of hospitalized patients with COVID-2019. Nature 581, 465–469 (2020).
Guglielmi, G. Testing times. Nature 583, 506–509 (2020).
Johani, S. & Hajeer, A. H. MERS-CoV diagnosis: an update. J. Infect. Public Health 9, 216–219 (2016).
Lalli, M. A. et al. Rapid and extraction-free detection of SARS-CoV-2 from saliva with colorimetric LAMP. Preprint at medRxiv 10.1101/2020.05.07.20093542 (2020). DOI: 10.1101/2020.05.07.20093542
Kitagawa, Y. et al. Evaluation of rapid diagnosis of novel coronavirus disease (COVID-19) using loop-mediated isothermal amplification. J. Clin. Virol. 129, 104446 (2020).
Lamb, L. E., Bartolone, S. N., Ward, E. & Chancellor, M. B. Rapid detection of novel coronavirus/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcription-loop-mediated isothermal amplification. PLoS ONE 15, e0234682 (2020).
Huang, Z. et al. Ultra-sensitive and high-throughput CRISPR-powered COVID-19 diagnosis. Biosens. Bioelectron. 164, 112316 (2020).
Guo, L. et al. SARS-CoV-2 detection with CRISPR diagnostics. Cell Discov. 6, 34 (2020).
Loeffelholz, M. J. & Tang, Y. W. Laboratory diagnosis of emerging human coronavirus infections - the state of the art. Emerg. Microbes Infect. 9, 747–756 (2020).
Lambert-Niclot, S. et al. Evaluation of a rapid diagnostic assay for detection of SARS-CoV-2 antigen in nasopharyngeal swabs. J. Clin. Microbiol. 58, e00977-20 (2020).
Nagura-Ikeda, M. et al. Clinical evaluation of self-collected saliva by RT-qPCR, direct RT-qPCR, RT-LAMP, and a rapid antigen test to diagnose COVID-19. J. Clin. Microbiol. 58, e01438-20 (2020).
Mertens, P. et al. Development and potential usefulness of the COVID-19 Ag Respi-strip diagnostic assay in a pandemic context. Front. Med. 7, 225 (2020).
Mak, G. C. et al. Evaluation of rapid antigen test for detection of SARS-CoV-2 virus. J. Clin. Virol. 129, 104500 (2020).
Jendrny, P. et al. Scent dog identification of samples from COVID-19 patients - a pilot study. BMC Infect. Dis. 20, 536 (2020).
Walker, H. J. & Burrell, M. M. Could breath analysis by MS could be a solution to rapid, non-invasive testing for COVID-19? Bioanalysis 10.4155/bio-2020-0125 (2020). DOI: 10.4155/bio-2020-0125
Caini, S. et al. Meta-analysis of diagnostic performance of serological tests for SARS-CoV-2 antibodies up to 25 April 2020 and public health implications. Euro Surveill. 25, 23 (2020).
Siracusano, G., Pastori, C. & Lopalco, L. Humoral immune responses in COVID-19 patients: a window on the state of the art. Front. Immunol. 11, 1049 (2020).
Ong, D. S. Y., de Man, S. J., Lindeboom, F. A. & Koeleman, J. G. M. Comparison of diagnostic accuracies of rapid serological tests and ELISA to molecular diagnostics in patients with suspected COVID-19 presenting to the hospital. Clin. Microbiol. Infect. 10.1016/j.cmi.2020.05.028 (2020). DOI: 10.1016/j.cmi.2020.05.028
Van Elslande, J. et al. Diagnostic performance of 7 rapid IgG/IgM antibody tests and the Euroimmun IgA/IgG ELISA in COVID-19 patients. Clin. Microbiol. Infect. 26, 1082–1087 (2020).
Penarrubia, L. et al. Multiple assays in a real-time RT-PCR SARS-CoV-2 panel can mitigate the risk of loss of sensitivity by new genomic variants during the COVID-19 outbreak. Int. J. Infect. Dis. 97, 225–229 (2020).
Cheng, M. P. et al. Serodiagnostics for severe acute respiratory syndrome-related coronavirus-2: a narrative review. Ann. Intern. Med. 173, 450–460 (2020).
Younes, N. et al. Challenges in laboratory diagnosis of the novel coronavirus SARS-CoV-2. Viruses 12, E582 (2020).
Bohn, M. K. et al. Molecular, serological, and biochemical diagnosis and monitoring of COVID-19: IFCC taskforce evaluation of the latest evidence. Clin. Chem. Lab. Med. 10.1515/cclm-2020-0722 (2020). DOI: 10.1515/cclm-2020-0722
Shi, J., Han, D., Zhang, R., Li, J. & Zhang, R. Molecular and serological assays for SARS-CoV-2: insights from genome and clinical characteristics. Clin. Chem. 66, 1030–1046 (2020).
Lee, C. Y., Lin, R. T. P., Renia, L. & Ng, L. F. P. Serological approaches for COVID-19: epidemiologic perspective on surveillance and control. Front. Immunol. 11, 879 (2020).
Montesinos, I. et al. Evaluation of two automated and three rapid lateral flow immunoassays for the detection of anti-SARS-CoV-2 antibodies. J. Clin. Virol. 128, 104413 (2020).
Lippi, G., Mattiuzzi, C., Bovo, C. & Plebani, M. Current laboratory diagnostics of coronavirus disease 2019 (COVID-19). Acta Biomed. 11, 137–145 (2020).
Lippi, G. & Plebani, M. The critical role of laboratory medicine during coronavirus disease 2019 (COVID-19) and other viral outbreaks. Clin. Chem. Lab. Med. 58, 1063–1069 (2020).
McAdam, A. J. Special issue on diagnostic testing for severe acute respiratory syndrome coronavirus 2 and lessons from this pandemic. J. Clin. Microbiol. 58, e01324-20 (2020).
World Health Organization. Advice on the use of point-of care immunodiagnostic tests for COVID-19. https://apps.who.int/iris/handle/10665/331713 (2020).
Woloshin, S., Patel, N. & Kesselheim, A. S. False negative tests for SARS-CoV-2 infection - Challenges and implications. N. Engl. J. Med. 383, e38 (2020).
Kucirka, L. M., Lauer, S. A., Laeyendecker, O., Boon, D. & Lessler, J. Variation in false-negative rate of reverse transcriptase polymerase chain reaction-based SARS-CoV-2 tests by time since exposure. Ann. Intern. Med. 173, 262–267 (2020).
Dellière, S. et al. Evaluation of COVID-19 IgG/IgM rapid test from Orient Gene Biotech. J. Clin. Microbiol. 58, e01233-20 (2020).
D’Cruz, R. J., Currier, A. W. & Sampson, V. B. Laboratory testing methods for novel severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Front. Cell Dev. Biol. 8, 468 (2020).
Lu, R. et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395, 565–574 (2020).
Chan, J. F. et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 395, 514–523 (2020).
Van Tan, L. et al. SARS-CoV-2 and co-infections detection in nasopharyngeal throat swabs of COVID-19 patients by metagenomics. J. Infect. 81, e175–e177 (2020).
Daughton, C. G. Wastewater surveillance for population-wide Covid-19: the present and future. Sci. Total Environ. 736, 139631 (2020).
Esbin, M. N. et al. Overcoming the bottleneck to widespread testing: a rapid review of nucleic acid testing approaches for COVID-19 detection. RNA 26, 771–783 (2020).
Mukattash, T. L. et al. Willingness and readiness to test for COVID-19; a qualitative exploration of community pharmacists. Int. J. Clin. Pract. 10.1111/ijcp.13620 (2020). DOI: 10.1111/ijcp.13620
Chan, M., Koo, S. H., Jiang, B., Lim, P. Q. & Tan, T. T. Comparison of the Biofire FilmArray respiratory panel, Seegene AnyplexII RV16, and Argene for the detection of respiratory viruses. J. Clin. Virol. 106, 13–17 (2018).
Choi, S. A hidden key to COVID-19 management in Korea: public health doctors. J. Prev. Med. Public Health 53, 175–177 (2020).
Wang, D. et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 323, 1061–1069 (2020).
McCormick-Baw, C. et al. Saliva as an alternate specimen source for detection of SARS-CoV-2 in symptomatic patients using Cepheid Xpert Xpress SARS-CoV-2. J. Clin. Microbiol. 58, e01109-20 (2020).
Ben-Ami, R. et al. Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection. Clin. Microbiol. Infect. 26, 1248–1253 (2020).
Brynildsrud, O. COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence. BMC Med. Res. Methodol. 20, 196 (2020).
Abid, S. et al. Assessment of sample pooling for SARS-CoV-2 molecular testing for screening of asymptomatic persons in Tunisia. Diagn. Microbiol. Infect. Dis. 98, 115125 (2020).
Mallapaty, S. The mathematical strategy that could transform coronavirus testing. Nature 583, 504–505 (2020).
Shah, A. et al. Drive-through testing: a unique, efficient method of collecting large volume of specimens during the SARS-CoV-2 (COVID-19) pandemic. Mayo Clin. Proc. 95, 1420–1425 (2020).
Poljak, M. et al. Clinical evaluation of the Cobas SARS-CoV-2 test and a diagnostic platform switch during 48 hours in the midst of the COVID-19 pandemic. J. Clin. Microbiol. 58, e00599-20 (2020).
Corman, V. M. et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 25, 2000045 (2020).
Kostyanev, T. et al. The innovative medicines initiative’s new drugs for bad bugs programme: European public–private partnerships for the development of new strategies to tackle antibiotic resistance. J. Antimicrob. Chemother. 71, 290–295 (2016).
Mitchell, S. L. et al. Understanding, verifying and implementing Emergency Use Authorization molecular diagnostics for the detection of SARS-CoV-2 RNA. J. Clin. Microbiol. 58, e00796-20 (2020).
Freire-Paspuel, B. et al. Evaluation of nCoV-QS (MiCo BioMed) for RT-qPCR detection of SARS-CoV-2 from nasopharyngeal samples using CDC FDA EUA qPCR kit as a gold standard: an example of the need of validation studies. J. Clin. Virol. 128, 104454 (2020).
Hogan, C. A. et al. Comparison of the Accula SARS-CoV-2 test with a laboratory-developed assay for detection of SARS-CoV-2 RNA in clinical nasopharyngeal specimens. J. Clin. Microbiol. 58, e01072-20 (2020).
Basu, A. et al. Performance of Abbott ID NOW COVID-19 rapid nucleic acid amplification test in nasopharyngeal swabs transported in viral media and dry nasal swabs, in a New York City academic institution. J. Clin. Microbiol. 58, e01136-20 (2020).
Ward, S., Lindsley, A., Courter, J. & Assa’ad, A. Clinical testing for Covid-19. J. Allergy Clin. Immunol. 146, 23–34 (2020).
Loeffelholz, M. J. et al. Multicenter evaluation of the Cepheid Xpert Xpress SARS-CoV-2 test. J. Clin. Microbiol. 58, e00926-20 (2020).
Lieberman, J. A. et al. Comparison of commercially available and laboratory developed assays for in vitro detection of SARS-CoV-2 in clinical laboratories. J. Clin. Microbiol. 10.1128/JCM.00821-20 (2020). DOI: 10.1128/JCM.00821-20
Wang, W. et al. Detection of SARS-CoV-2 in different types of clinical specimens. JAMA 323, 1843–1844 (2020).
To, K. K. et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect. Dis. 20, 565–574 (2020).
Ramdas, K., Darzi, A. & Jain, S. ‘Test, re-test, re-test’: using inaccurate tests to greatly increase the accuracy of COVID-19 testing. Nat. Med. 26, 810–811 (2020).
Spencer, S. et al. Consistency of influenza A virus detection test results across respiratory specimen collection methods using real-time reverse transcription-PCR. J. Clin. Microbiol. 51, 3880–3882 (2013).
Van Kasteren, P. B. et al. Comparison of commercial RT-PCR diagnostic kits for COVID-19. Preprint at bioRxiv 10.1101/2020.04.22.056747 (2020). DOI: 10.1101/2020.04.22.056747
Vabret, N., Samstein, R., Fernandez, N. & Merad, M., Sinai Immunology Review Project, Trainees & Faculty. Advancing scientific knowledge in times of pandemics. Nat. Rev. Immunol. 20, 338 (2020).
Ombelet, S. et al. Clinical bacteriology in low-resource settings: today’s solutions. Lancet Infect. Dis. 18, e248–e258 (2018).
Shammi, M., Bodrud-Doza, M., Towfiqul Islam, A. R. M. & Rahman, M. M. COVID-19 pandemic, socioeconomic crisis and human stress in resource-limited settings: a case from Bangladesh. Heliyon 6, e04063 (2020).
Bossuyt, P. M. et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. Radiology 277, 826–832 (2015).
World Health Organization. Technical guidance series (TGS) for WHO prequalification – diagnostic assessment panels for quality assurance and quality control of in vitro diagnostic medical devices. in Technical Guidance vol. 6. https://www.who.int/diagnostics_laboratory/guidance/technical_guidance_series/en/ (2017).
World Health Organization. Technical guidance series (TGS) for WHO prequalification – designing instructions for use for in vitro diagnostic medical devices. in Technical Guidance vol. 5. https://www.who.int/diagnostics_laboratory/guidance/technical_guidance_series/en/ (2017).
Guest, J. L., Del Rio, C. & Sanchez, T. The three steps needed to end the COVID-19 pandemic: bold public health leadership, rapid innovations, and courageous political will. JMIR Public Health Surveill. 6, e19043 (2020).
Linton, T. & Vakil, B. Coronavirus is proving we need more resilient supply chains. Harvard Business Review https://hbr.org/2020/03/coronavirus-is-proving-that-we-need-more-resilient-supply-chains (2020).
Ivanov, D. Predicting the impacts of epidemic outbreaks on global supply chains: a simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp. Res. E Logist. Transp. Rev. 136, 101922 (2020).
Lamprou, D. A. Emerging technologies for diagnostics and drug delivery in the fight against COVID-19 and other pandemics. Expert Rev. Med. Devices 17, 1–6 (2020).
Cundell, T., Guilfoyle, D., Kreil, T. R. & Sawant, A. Controls to minimize disruption of the pharmaceutical supply chain during the COVID-19 pandemic. PDA J. Pharm. Sci. Technol. 74, 468–494 (2020).
Mascuch, S. J. et al. Buzz about RT-qPCR: An RT-qPCR formulation for SARS-CoV-2 detection using reagents produced at Georgia Institute of Technology. Preprint at medRxiv 10.1101/2020.07.29.20163949 (2020). DOI: 10.1101/2020.07.29.20163949
Beetz, C. et al. Rapid large-scale COVID-19 testing during shortages. Diagnostics 10, E464 (2020).
Silverman, E. Roche backpedals and agrees to provide a solution for Covid-19 tests in the Netherlands. STAT News Agency https://www.statnews.com/pharmalot/2020/03/27/roche-covid19-coronavirus-netherlands/ (2020).
Clark, A. E., Levy, J. & Lee, F. M. Laboratory-developed test regulation and the immunocompromised patient: uncertainty ahead. Curr. Opin. Infect. Dis. 33, 304–311 (2020).
Seric, A. & Hauge, J. COVID-19 and the global contraction in FDI. United Nations Industrial Development Organization (UNIDO) Industrial Analytics Platform. https://iap.unido.org/articles/covid-19-and-global-contraction-fdi (2020).
López-Gómez, C., Corsini, L., Leal-Ayala, D. & Fokeer, S. COVID-19 critical supplies: the manufacturing repurposing challenge. United Nations Industrial Development Organization (UNIDO) Industrial Analytics Platform. https://www.unido.org/news/covid-19-critical-supplies-manufacturing-repurposing-challenge (2020).
Jin, Y. H. et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia. Mil. Med. Res. 7, 4 (2020).
Yan, Y., Chang, L. & Wang, L. Laboratory testing of SARS-CoV, MERS-CoV, and SARS-CoV-2 (2019-nCoV): current status, challenges, and countermeasures. Rev. Med. Virol. 30, e2106 (2020).
Choi, T. M. Innovative “bring-service-near-your-home” operations under corona-virus (COVID-19/SARS-CoV-2) outbreak: can logistics become the messiah? Transp. Res. E Logist. Transp. Rev. 140, 101961 (2020).
Kim, S., Ramkumar, M. & Subramanian, N. Logistics service provider selection for disaster preparation: a socio-technical systems perspective. Ann. Oper. Res. 283, 1259–1282 (2019).
Liu, Y., Cui, N. & Zhang, J. Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service. Transp. Res. E Logist. Transp. Rev. 128, 1–16 (2019).
Mukwege, D., Cadière, G. B. & Vandenberg, O. COVID-19 response in sub-Saharan low-resource setting: healthcare soldiers need bullets. Am. J. Trop. Med. Hyg 10.4269/ajtmh.20-0543 (2020). DOI: 10.4269/ajtmh.20-0543
Kavanagh, M. M. et al. Access to lifesaving medical resources for African countries: COVID-19 testing and response, ethics, and politics. Lancet 395, 1735–1738 (2020).
Patriquin, G. et al. Exploring alternative swabs for use in SARS-CoV-2 detection from the oropharynx and anterior nares. J. Virol. Methods 285, 113948 (2020).
Callahan, C. J. et al. Open development and clinical validation of multiple 3D-printed sample-collection swabs: rapid resolution of a critical COVID-19 testing bottleneck. Preprint at medRxiv 10.1101/2020.04.14.20065094 (2020). DOI: 10.1101/2020.04.14.20065094
Condo, J., Uwizihiwe, J. P. & Nsanzimana, S. Learn from Rwanda’s success in tackling COVID-19. Nature 581, 384 (2020).
Nkengasong, J. Let Africa into the market for COVID-19 diagnostics. Nature 580, 565 (2020).
Miles, D., Stedman, M. & Heald, A. H. “Stay at Home, Protect the National Health Service, Save Lives”: a cost benefit analysis of the lockdown in the United Kingdom. Int. J. Clin. Pract. 10.1111/ijcp.13674 (2020). DOI: 10.1111/ijcp.13674
Chen, J. et al. Medical costs of keeping the US economy open during COVID-19. Preprint at medRxiv 10.1101/2020.07.17.20156232 (2020). DOI: 10.1101/2020.07.17.20156232
Kirigia, J. M. & Muthuri, R. N. D. K. The fiscal value of human lives lost from coronavirus disease (COVID-19) in China. BMC Res. Notes 13, 198 (2020).
Banatvala, J. COVID-19 testing delays and pathology services in the UK. Lancet 395, 1831 (2020).
Kluge, S. et al. German recommendations for critically ill patients with COVID-19. Med. Klin. Intensivmed. Notfmed. 14, 1–4 (2020).
Vandenberg, O. et al. Consolidation of clinical microbiology laboratories and introduction of transformative technologies. Clin. Microbiol. Rev. 33, e00057–e00119 (2020).
COVID-19 Genomics UK (COG-UK) consortium. An integrated national scale SARS-CoV-2 genomic surveillance network. Lancet Microbe 10.1016/S2666-5247(20)30054-9 (2020). DOI: 10.1016/S2666-5247(20)30054-9
Blomberg, N. & Lauer, K. B. Connecting data, tools and people across Europe: ELIXIR’s response to the COVID-19 pandemic. Version 2. Eur. J. Hum. Genet. 28, 719–723 (2020).
World Health Organization. COVID-19 Public Health Emergency of International Concern (PHEIC) global research and innovation forum. https://www.who.int/publications/m/item/covid-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum (2020).
Thai, P. Q. et al. Factors associated with the duration of hospitalisation among COVID-19 patients in Vietnam: a survival analysis. Epidemiol. Infect. 148, e114 (2020).
Cruz, C. H. B. Social distancing in São Paulo State: demonstrating the reduction in cases using time series analysis of deaths due to COVID-19. Rev. Bras. Epidemiol. 23, e200056 (2020).
Abdullahi, I. N. et al. Roles and challenges of coordinated public health laboratory response against COVID-19 pandemic in Africa. J. Infect. Dev. Ctries 14, 691–695 (2020).
Rouzier, V., Liautaud, B. & Deschamps, M. M. Facing the monster in Haiti. N. Engl. J. Med. 383, e4 (2020).
Ahmed, S. et al. Protecting children in low-income and middle-income countries from COVID-19. BMJ Glob. Health 5, e002844 (2020).
Venkatesan, P. COVID-19 diagnostics — not at the expense of other diseases. Lancet Microbe 1, E64 (2020).
London, A. J. & Kimmelman, J. Against pandemic research exceptionalism. Science 368, 476–477 (2020).
Jacobs, J. et al. Diagnostic bacteriology in district hospitals in sub-Saharan Africa: at the forefront of the containment of antimicrobial resistance. Front. Med. 6, 205 (2019).
Crick COVID-19 Consortium. Scalable and robust SARS-CoV-2 testing in an academic center. Nat. Biotechnol. 38, 927–931 (2020).
Pettit, S. D. et al. ‘All In’: a pragmatic framework for COVID-19 testing and action on a global scale. EMBO Mol. Med. 12, 12634 (2020).
Morlacchi, L. C. et al. COVID-19 in lung transplant recipients: a case series from Milan, Italy. Transpl. Infect. Dis. 10.1111/tid.13356 (2020). DOI: 10.1111/tid.13356
Schmitz, J. E. & Tang, Y. W. The GenMark ePlex®: another weapon in the syndromic arsenal for infection diagnosis. Future Microbiol. 13, 1697–1708 (2018).
Li, J. et al. Rapid detection of respiratory organisms with the FilmArray respiratory panel in a large children’s hospital in China. BMC Infect. Dis. 18, 510 (2018).
World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (2019-nCoV) infection is suspected: interim guidance. https://apps.who.int/iris/handle/10665/330893 (2020).
Lansbury, L., Lim, B., Baskaran, V. & Lim, W. S. Co-infections in people with COVID-19: a systematic review and meta-analysis. J. Infect. 81, 266–275 (2020).
Koehler, P. et al. COVID-19 associated pulmonary aspergillosis. Mycoses 63, 528–534 (2020).
Togun, T., Kampmann, B., Stoker, N. G. & Lipman, M. Anticipating the impact of the COVID-19 pandemic on TB patients and TB control programmes. Ann. Clin. Microbiol. Antimicrob. 19, 21 (2020).
Wehrhahn, M. C. et al. Self-collection: an appropriate alternative during the SARS-CoV-2 pandemic. J. Clin. Virol. 128, 104417 (2020).
Hopman, J., Allegranzi, B. & Mehtar, S. Managing COVID-19 in low- and middle-income countries. JAMA 323, 1549–1550 (2020).
Le Page, M. Home testing is no quick fix. New Sci. 245, 11 (2020).
Williams, E., Bond, K., Zhang, B., Putland, M. & Williamson, D. A. Saliva as a non-invasive specimen for detection of SARS-CoV-2. J. Clin. Microbiol. 58, e00776-20 (2020).
Scott, B. K. et al. Advanced digital health technologies for COVID-19 and future emergencies. Telemed. J. E Health 10.1089/tmj.2020.0140 (2020). DOI: 10.1089/tmj.2020.0140
Addeo, A. & Friedlaender, A. Cancer and COVID-19: unmasking their ties. Cancer Treat. Rev. 88, 102041 (2020).
Fuellen, G. et al. The preventive strategy for pandemics in the elderly is to collect in advance samples & data to counteract chronic inflammation (inflammaging). Ageing Res. Rev. 62, 101091 (2020).
Shi, F. et al. Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19. IEEE Rev. Biomed. Eng. 10.1109/RBME.2020.2987975 (2020). DOI: 10.1109/RBME.2020.2987975
Smith, K. P. et al. Application of artificial intelligence in clinical microbiology diagnostic testing. Clin. Microbiol. Newsletter. 42, 61–70 (2020).
Noh, J. et al. Prediction of the mortality risk in peritoneal dialysis patients using machine learning models: a nation-wide prospective cohort in Korea. Sci. Rep. 10, 7470 (2020).
Cánovas-Segura, B. et al. Development of a clinical decision support system for antibiotic management in a hospital environment. Prog. Artif. Intell. 5, 181–197 (2016).
Peiffer-Smadja, N. et al. Machine learning in the clinical microbiology laboratory: has the time come for routine practice? Clin. Microbiol. Infect. 10.1016/j.cmi.2020.02.006 (2020). DOI: 10.1016/j.cmi.2020.02.006
Chowdhury, A. S., Lofgren, E. T., Moehring, R. W. & Broschat, S. L. Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach. J. Appl. Microbiol. 128, 688–696 (2020).
Reeves, J. J. et al. Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. J. Am. Med. Inform. Assoc. 27, 853–859 (2020).
Luo, L. et al. Contact settings and risk for transmission in 3410 close contacts of patients with COVID-19 in Guangzhou, China: a prospective cohort study. Ann. Intern. Med. 10.7326/M20-2671 (2020). DOI: 10.7326/M20-2671
Ayouba, A. et al. New technologies for controlling emerging infectious diseases in Guinea and the Democratic Republic of the Congo: their role in response to the Ebola epidemic. Med. Sante Trop. 29, 362–365 (2019).
Amid, C. et al. The COMPARE data hubs. Database 2019, baz136 (2019).
Lau, H. et al. The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China. J. Travel. Med. 27, taaa037 (2020).
Larremore, D. B. et al. Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance. Preprint at medRxiv 10.1101/2020.06.22.20136309 (2020). DOI: 10.1101/2020.06.22.20136309
Sirijatuphat, R., Pongsuttiyakorn, S., Supapueng, O., Kiratisin, P. & Thamlikitkul, V. Implementation of global antimicrobial resistance surveillance system (GLASS) in patients with bacteriuria. J. Glob. Antimicrob. Resist. 20, 60–67 (2020).
Morley, J., Cowls, J., Taddeo, M. & Floridi, L. Ethical guidelines for COVID-19 tracing apps. Nature 582, 29–31 (2020).
Matheeussen, V. et al. Preparedness of European diagnostic microbiology labs for detection of SARS-CoV-2, March 2020. J. Clin. Virol. 128, 104432 (2020).
Holub, P. et al. BBMRI-ERIC’s contributions to research and knowledge exchange on COVID-19. Eur. J. Hum. Genet. 28, 728–731 (2020).
Huang, S. F. et al. Rapid establishment of a COVID-19 biobank in NHRI by National Biobank Consortium of Taiwan. Biomed. J. 10.1016/j.bj.2020.05.018 (2020). DOI: 10.1016/j.bj.2020.05.018
Adepoju, P. Africa’s first biobank start-up receives seed funding. Lancet 394, 108 (2019).
Peeling, R. W., Boeras, D., Wilder-Smith, A., Sall, A. & Nkengasong, J. Need for sustainable biobanking networks for COVID-19 and other diseases of epidemic potential. Lancet Infect. Dis. 10.1016/S1473-3099(20)30461-8 (2020). DOI: 10.1016/S1473-3099(20)30461-8
Kozlakidis, Z. & Nigam, A. Ten minutes with Zisis Kozlakidis, Head of Laboratory Services and Biobanking at the International Agency for Research on Cancer, World Health Organization. BMJ Leader 10.1136/leader-2020-000282 (2020). DOI: 10.1136/leader-2020-000282
Fernando, B., King, M. & Sumathipala, A. Advancing good governance in data sharing and biobanking - international aspects. Wellcome Open Res. 4, 184 (2019).
Yates, T. et al. Obesity and risk of COVID-19: analysis of UK biobank. Prim. Care Diab. https://www.primary-care-diabetes.com/article/S1751-9918(20)30196-0/pdf (2020).
Hastie, C. E. et al. Vitamin D concentrations and COVID-19 infection in UK Biobank. Diabetes Metab. Syndr. 14, 561–565 (2020).
Hofman, P. et al. Possible consequences of the COVID-19 pandemic on the use of biospecimens from cancer biobanks for research in academia and bioindustry. Nat. Med. 26, 809–810 (2020).
Van Boheemen, S. et al. Retrospective validation of a metagenomic sequencing protocol for combined detection of RNA and DNA viruses using respiratory samples from pediatric patients. J. Mol. Diagn. 22, 196–207 (2020).
Holmes, E. C. Reagent contamination in viromics: all that glitters is not gold. Clin. Microbiol. Infect. 25, 1167–1168 (2019).
Asplund, M. et al. Contaminating viral sequences in high-throughput sequencing viromics: a linkage study of 700 sequencing libraries. Clin. Microbiol. Infect. 25, 1277–1285 (2019).
Roser, M., Ritchie, H., Ortiz-Ospina, E. & Hasell, J. Coronavirus Pandemic (COVID-19). https://ourworldindata.org/coronavirus (2020).
Pereira, E. M. et al. COVID-19’s impact on genetics at one medical center in New York. Genet. Med. 10.1038/s41436-020-0857-7 (2020). DOI: 10.1038/s41436-020-0857-7
Rajan, N. & Joshi, G. P. COVID-19: Role of ambulatory surgery facilities in this global pandemic. Anesth. Analg. 131, 31–36 (2020).
Søreide, K. et al. Immediate and long-term impact of the COVID-19 pandemic on delivery of surgical services. Br. J. Surg. 10.1002/bjs.11670 (2020). DOI: 10.1002/bjs.11670
Grimm, C. A. Hospital experiences responding to the COVID-19 pandemic: results of a national pulse survey march 23–27, 2020. https://www.oig.hhs.gov/oei/reports/oei-06-20-00300.pdf (U.S. Department of Health and Human Services, Office of Inspector General, 2020).
Alfaro, L., Chari, A., Greenland, A. N., & Schott, P. K. Aggregate and firm-level stock returns during pandemics, in real time (No. w26950). (National Bureau of Economic Research, 2020).
Tartari, F., Guglielmo, A., Fuligni, F. & Pileri, A. Changes in emergency service access after spread of COVID19 across Italy. J. Eur. Acad. Dermatol. Venereol. 10.1111/jdv.16553. (2020). DOI: 10.1111/jdv.16553.
KPMG International. The healthcare diagnostics value game: The challenges of delivering and demonstrating value in under-pressure markets. Realizing value series. https://assets.kpmg/content/dam/kpmg/xx/pdf/2018/07/the-healthcare-diagnostics-value-game.pdf (2018).
Bartsch, S. M. et al. The potential health care costs and resource use associated with COVID-19 In the United States. Health Aff. 39, 927–935 (2020).
Bayham, J. & Fenichel, E. P. Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study. Lancet Public Health 5, e271–e278 (2020).
Kliff, S. Most Coronavirus tests cost about $100. Why did one cost $2,315? New York Times, 16 June (New York Times, 2020).
Adams, M. L., Katz, D. L. & Grandpre, J. Population-based estimates of chronic conditions affecting risk for complications from coronavirus disease, United States. Emerg. Infect. Dis. 26, 1831–1833 (2020).
Krech, R., Kickbusch, I., Franz, C. & Wells, N. Banking for health: the role of financial sector actors in investing in global health. BMJ Glob. Health 3, e000597 (2018).
Prakash, J., Chatterjee, K. & Srivastava, K. Industrial impact of COVID-19 pandemic: mental health perspective. Ind. Psychiatry J. [Epub ahead of print] http://www.industrialpsychiatry.org/preprintarticle.asp?id=283541 (2020).
Wynants, L. et al. Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ 369, m1328 (2020).
Naluyima, P. et al. The joint mobile emerging disease clinical capability (JMEDICC) laboratory approach: capabilities for high-consequence pathogen clinical research. PLoS Negl. Trop. Dis. 13, e0007787 (2019).
Li, X. et al. Quality of primary health care in China: challenges and recommendations. Lancet 395, 1802–1812 (2020).
Meinert, E., Milne-Ives, M., Surodina, S. & Lam, C. Agile requirements engineering and software planning for a digital health platform to engage the effects of isolation caused by social distancing: case study. JMIR Public Health Surveill. 6, 19297 (2019).
Jung, G., Lee, H., Kim, A. & Lee, U. Too much information: assessing privacy risks of contact trace data disclosure on people with COVID-19 in South Korea. Front. Public Health 10.3389/fpubh.2020.00305 (2020). DOI: 10.3389/fpubh.2020.00305
Rocher, L., Hendrickx, J. M. & de Montjoye, Y. A. Estimating the success of re-identifications in incomplete datasets using generative models. Nat. Commun. 10, 3069 (2019).
