Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2020 Jun 2;20(7):770–772. doi: 10.1016/S1473-3099(20)30440-0

Global outbreak research: harmony not hegemony

ISARIC clinical characterisation group*
PMCID: PMC7266570  PMID: 32502433

To make clinical and biological observations within a timeframe that is likely to benefit patients during disease outbreaks, coordination of global research must match the speed of spread of novel pathogens. Time is short. Circumstances call for international collaboration to understand, treat, and prevent coronavirus disease 2019 (COVID-19).

During previous infectious disease outbreaks, clinical research has often been established on an ad-hoc basis and done in silos, using different methodologies and designs. This approach limits opportunities to compare results, or to combine smaller studies to obtain answers quickly. Thus, perhaps it is self-evident that harmonisation of clinical investigation during outbreaks is desirable. In a meeting of the WHO clinical management research prioritisation group held in January, 2020, harmonised clinical characterisation research was identified as the first priority for COVID-19.

Harmonisation creates opportunities for individual investigators to compare results or collaborate, without applying burdens or obligations. In our experience, the quality and breadth of research is improved by collaborative development and peer review of shared protocols. For example, in the current outbreak, a clinician might design a study to identify risk factors for progression, co-infections, and mechanisms of critical illness. However, clinicians might overlook the need to obtain serum for research groups with the capability to make new assays for seroepidemiology, or peripheral blood mononuclear cells for monoclonal antibody therapeutics during this process. Wide collaboration leads to better, faster science.

Achieving global coordination is difficult enough at the best of times; during a crisis it might seem impossible. But with each new crisis, the same questions arise again and again, and so, the same designs can be used to tackle them. We believe that global harmonisation is possible, at least in the intermittently indispensable field of outbreak research. To achieve such a goal, harmonised investigation needs to be made easier than establishing isolated independent studies, must respect autonomy and sovereignty of investigators, and relinquish normal routes of academic recognition for this work.

To this end, in 2012, a single, standardised generic research protocol was created for clinical characterisation of any emerging infection (the International Severe Acute Respiratory and Emerging Infection Consortium [ISARIC]/WHO Clinical Characterisation Protocol [CCP]), which was the result of many years of international and cross-speciality consensus-building.1 Since the fundamental research questions in a new outbreak are predictable, the protocol can be established and approved in so-called peacetime, maintained in a hibernating state, then rapidly implemented when required. Carefully designed, flexible biological sampling schedules are included in tiers according to local resources, modular additional studies for specific situations, and scalable case report forms.1 These tools were released under an open-source licence—ie, anyone can download these materials and use, adapt, or distribute them. Clinical research can feel like it is 95% about filling in forms. We filled in some of the forms, so you don't have to.

In 2016, the ISARIC/WHO CCP was implemented in Brazil in response to the emergence of Zika virus and chikungunya virus in Latin America, facilitating studies of viral shedding and serology.2 The CCP was also used for the establishment of cohort studies of critically ill patients with Middle East respiratory syndrome.3 At present, the Uganda Virus Research Institute (Entebbe, Uganda) is using the protocol to study severe acute febrile illness and severe influenza.4 The value of this approach is becoming apparent in the age of COVID-19. The original reports on clinical findings in COVID-19 used harmonised data collection.5, 6 46 countries have registered to record clinical data using the ISARIC/WHO CCP Case Report Form and investigators in many countries are planning to use the CCP biological sampling protocol to coordinate studies of transmission, prognostication, pathogenesis, and diagnostics (appendix).

Understanding the genetic mechanisms underlying susceptibility7 might directly advance our understanding of disease mechanisms8 and possible treatments,9 but robust studies require recruitment of large numbers of critically ill patients, which requires open, collegiate, and global collaboration. Genetics Of Mortality In Critical Care is an open consortium in which clinicians have been recruiting critically ill patients since 2016. Importantly, this work is led by the clinicians treating the patients, in collaboration with experts in host genetics.

Operating clinical trials at global scale presents many additional challenges, but even in this domain, substantial progress has been made. Before the COVID-19 pandemic, the critical care community created a highly efficient, randomised, embedded multifactorial adaptive platform trial for community-acquired pneumonia (REMAP-CAP). This single trial was established in 13 countries with the capacity to test new hypotheses quickly. Perhaps most ambitious of all, WHO has developed a global platform—the SOLIDARITY trial10—for the evaluation of widely-available interventions to treat COVID-19.

Catastrophes, such as pandemics, drive innovation and lead to marked social change. Within the scientific research community, we believe that perceptions of academic excellence have long undervalued teamwork and collegiality. We hope our colleagues across the world will make use of these tools, either in collaboration or independently, to harmonise clinical research efforts and fulfil the duties of medical science to humanity in the shortest time possible.

Acknowledgments

We declare no competing interests.

Contributor Information

ISARIC clinical characterisation group:

Tamuna Akhvlediani, Syed M Ali, Derek C Angus, Yaseen M Arabi, Sheharyar Ashraf, J Kenneth Baillie, Barnabas Bakamutumaho, Abi Beane, Fernando Bozza, Stephen J Brett, Roberto Bruzzone, Gail Carson, Lyndsey Castle, Michael Christian, J Perren Cobb, Matthew J Cummings, Eric D'Ortenzio, Menno D de Jong, Emmanuelle Denis, LPG Derde, Emily Dobell, Arjen M Dondorp, Jake W Dunning, Dean Everett, Jeremy Farrar, Rob Fowler, Dilanthi Gamage, Zhancheng Gao, Charles D Gomersall, Anthony C Gordon, Rashan Haniffa, Hayley Hardwick, Madiha Hashmi, Mohammad Hayat, Frederick G Hayden, Antonia Ho, Peter Horby, Peter W Horby, Nina Jamieson, Issrah Jawad, Marshall John, Kalynn Kennon, Saleh Khaskheli, Saye H Khoo, Trudie Lang, James Lee, Lowell Ling, John C Marshall, Mohammad I Memon, France Mentré, Laura Merson, Sarah Moore, Srinivas Murthy, Alistair Nichol, Max R O'Donnell, Piero L Olliaro, Piero Olliaro, Peter J Openshaw, Rachael Parke, Rui Pereira, Daniel Plotkin, Mark Pritchard, Ebenezer Rabindrarajan, Nagarajan Ramakrishnan, Toby Richards, Guillermo M Ruiz-Palacios, Clark D Russell, Janet T Scott, Malcolm G Semple, Nahoko Shindo, Louise Sigfrid, Emily C Somers, Arshad Taqi, Lance Turtle, Irani Thevarajan, Bharath Kumar Tirupakuzhi Vijayaraghavan, Ishara Udayanga, Sylvie van der Werf, Renaud Vatrinet, Pavan Kumar Vecham, Steve Webb, John Amuasi, Muge Cevik, William Fischer, and Tom Fletcher

Supplementary Material

Supplementary appendix
mmc1.pdf (132.5KB, pdf)

References

  • 1.Dunning JW, Merson L, Rohde GGU. Open source clinical science for emerging infections. Lancet Infect Dis. 2014;14:8–9. doi: 10.1016/S1473-3099(13)70327-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bozza FA, Moreira-Soto A, Rockstroh A. Differential shedding and antibody kinetics of zika and chikungunya viruses, Brazil. Emerg Infect Dis. 2019;25:311–315. doi: 10.3201/eid2502.180166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Arabi YM, Al-Omari A, Mandourah Y. Critically ill patients with the middle east respiratory syndrome: A multicenter retrospective cohort study. Crit Care Med. 2017;45:1683–1695. doi: 10.1097/CCM.0000000000002621. [DOI] [PubMed] [Google Scholar]
  • 4.Cummings MJ, Bakamutumaho B, Kayiwa J. Epidemiologic and spatiotemporal characterization of influenza and severe acute respiratory infection in Uganda, 2010–2015. Ann Am Thorac Soc. 2016;13:2159–2168. doi: 10.1513/AnnalsATS.201607-561OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Huang C, Wang Y, Li X. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Yang X, Yu Y, Xu J. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020 doi: 10.1016/S2213-2600(20)30079-5. published online Feb 24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Patarčić I, Gelemanović A, Kirin M. The role of host genetic factors in respiratory tract infectious diseases: systematic review, meta-analyses and field synopsis. Sci Rep. 2015;5 doi: 10.1038/srep16119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Russell CD, Baillie JK. Treatable traits and therapeutic targets: goals for systems biology in infectious disease. Curr Opin Syst Biol. 2017;2:139–145. doi: 10.1016/j.coisb.2017.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Baillie JK. Translational genomics. Targeting the host immune response to fight infection. Science. 2014;344:807–808. doi: 10.1126/science.1255074. [DOI] [PubMed] [Google Scholar]
  • 10.WHO “Solidarity” clinical trial for COVID-19 treatments. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov/solidarity-clinical-trial-for-covid-19-treatments

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary appendix
mmc1.pdf (132.5KB, pdf)

Articles from The Lancet. Infectious Diseases are provided here courtesy of Elsevier

RESOURCES