Covid-19: Navigating Scientific Uncertainty

Abstract


 
 
 Alvin Toffler once wrote: "The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and relearn." This pandemic has proven his statement correct. The global academic community has learned a completely new culture of research, with torrents of data being released daily on preprint servers1,2 and dissected on platforms such as Slack and Twitter before formally peer reviewed. Fifty-five thousand viral genomes sequences of hCoV-19 shared on GISAID platforms to date3 that have been analyzed instantaneously, by a phalanx of evolutionary biologists who share their phylogenetic trees in preprints. Such advances have allowed scientists to trace and monitor the COVID-19 pandemic faster than any previous outbreak.
 There is still more to learn. The scientist from the fields of epidemiology, virology and biomedical science are struggling to keep this outbreak under control. Estimation of R0, which have been an important part of characterizing pandemics, including the 2003 SARS pandemic, the 2009 H1N1 influenza pandemic and the 2014 Ebola epidemic in West Africa, is something epidemiologists raced to nail down about SARS-CoV-2. There's uncertainty,foranumberofreasons,aboutmanyofthefactorsthatgointoestimatingR0. First,theincubation period of this viral pathogen is uncertain with an average 5-6 days and can be up to 14 days.4 Researchers cannot predict, without sentinel surveillance, the number of mild or asymptomatic cases that have been missed but nevertheless are spreading the disease.5 Secondly, majority of people who get infected, do recover and are likely to be immune. This alters population susceptibility and affects future trajectory of infection spread. Finally, susceptibility to disease in different communities varies based on their demographics, health conditions and different social structures. And hence, mathematical model accuracy, be it Institute for Health Metrics and Evaluation (IHME)6, Ferguson et.al7, Aleta et.al8, Hellewell et.al9 and Kessler et al models10, is constrained by our knowledge of the virus dynamics since many biologic features of transmission are hard to measure and remain unknown.
 Another aspect of the Covid-19, which is reshaping the world of bioscience publishing, is the tension between rapid speed of research publication verses scientific rigor. This has raised serious issues regarding data integrity. The Lancet and NEMJ had had to retract some publication on this account for example, Hydroxychloroquine or chloroquine with or without a macrolide for treatment of COVID-19: a multinational registry analysis11 and Cardiovascular Disease, Drug Therapy, and Mortality in Covid-1912, because independent auditors were unable to validate the primary data sources. This is of concern in the middle of a global health emergency.13
 Finally, this crisis has also altered our perspective. An important feature of our ongoing experience is what anthropologist Jane Guyer termed “enforced presentism”, a feeling of being stuck in the present, combined with an inability to plan ahead.14 The question is how do we reclaim our future? The past has provided us a prologue for discussion, whether it is the biological origins of a potential pandemic or its social repercussions, it is up to us to reorder the society in dramatic ways, for better or worse.
 Editor-in-Chief
 doi: http://doi.org/10.37185/LnS.1.1.127