The lack of clear data that came from Wuhan in the days that followed the outbreak of the virus revealed worrisome problems of transparency. The difficulty that the Chinese government had in getting a clear bearing on the zoonotic virus raised problems of even trying to map its rise, to which all data visualizations since seem to respond: as local officials were loathe to shoulder responsibility, the tally of infected in Hubei Province jumped, astoundingly, forcing the government to recognize that the disease was easily transmitted among humans, in easy contact, and could be far more virulent than thought: the rather sudden uptick of cases reveals a reticence in tallying the infected out of fears of reprisals for apparent incompetence, and an institutional mechanism for shifting blame that has led meat-packing plants in the United States to cease to report numbers of sick workers: if warning of the virus’ spread was raised by Li Wenliang on December 30 from Wuhan, the arrival of Elon Musk’s friend Ying Yong, who lured Tesla to Shanghai, led the tally of new cases of the novel coronavirus in Hubei Province to jump astronomically by a factor of nine from 1,638 to 14,840–in keeping with the nearly 1,400 people dead in the country while we watched the disease as if in afflicting cruise liners it had yet to arrive on shore.
And while we watch the progress of the pandemic on screens, there is a sense of truth-telling, as a result, of revealing the scope of the virus’ actual spread that compensates for the lack of clarity we once had. But it is also increasingly difficult to orient ourselves to the GPS-enabled scales of its spread, for we still are looking at pretty limited and almost superficial data, in the sense we have trouble plotting it in a narrative context, or find a reaction more than shock. The virus is easy in ways to personify as a threat–it wants us outside; it comes from afar; it pervades public spaces and hospital grounds; it demands vigilant hand-washing and sanitizing–but the very numbest are elusive. While we try to track reported cases, hoping that these limited datasets will provide orientation, we have been lumping numbers of tests that might be apples and oranges, and have not found a consistent manner of testing. Deaths are difficult to attribute, for some, since there are different sites where the virus might settle in our bodies.
Even while not really following the pathways of its transmission, and the microscopic scale of the progress of the pathogen in bodies. And if we rely on or expect data visualizations will present information in readily graspable terms, we rarely come to question the logics that underly them, and the logics are limited given the poor levels of global testing for COVID-19. It is frustrating that our GPS maps, which we seem able to map the world, can map numbers of surrogates for viral spread, but we have yet to find a way to read the numbers in a clear narrative, but are floored by the apparently miasmatic spread of such a highly contagious disease that makes us feel, as historian of science Lorraine Daston put it, that we are in “ground zero of empiricism,” and that if as a historian of early modern science, she has the sense we are now all in the seventeenth century, not in the sense of being vulnerable to a disease that is far less dangerous or deadly than Yersina pestis, but that after having proclaimed paradigm shifts and ruptures that have changed our explanatory and diagnostic mindsets from the past, we find we find a leveling between folk remedies and modern medicine, as we live collectively in what she calls a “ground-zero moment of empiricism”–if one in which we are deluged by data, but short in knowing what is data, as we are lacking in explanatory models. This is a bit unfair, as we still can profit from autopsies, and have been able to contain spread by hand-washing–but the images of a single magic bullet, or antiviral cure, are far, far away in time.
The most compelling language of the novel coronavirus is “false positives” and “false negatives,” that seem to betray the unsure nature of standards; the most haunting is the multiple sites COVID-19 can appear in the sites of the body we use to map most disease. While we associate the virus with our respiratory tracts, the virus can do damage to multiple organ systems, as well as create blotchiness of “covid toes” due to burst peripheral blood vessels; it can damage multiple organ systems simultaneously, including the kidneys, heart, lungs, brain, and linger in our intestinal tract where it can flourish and proliferate; the virus can reduce the ability of our blood to form clots, or disable our ability to form clots. The ACE-2 receptor protein, a launching pad for viral infections, lies in our lungs and respiratory tract but in stomach, intestines, liver, kidneys, and brain. Increased sensitivities among those suffering from high blood pressure, cardiac disease, and diabetes reflect the nosological difficulties of classifying the virus as a cause of death or to grasp it as an illness, let alone to read data about the disease. If the virus lodges in the most delicate structures of the alveoli, which it causes to collapse as it infects their lining, it can take multiple pathways in the body, and as its pathway of infection may be multiple, medical response must be improvised with no playbook for clinical care.
All we know is that our medical staff desperately need protective gear. On top of that, it hardly helps that we are without a clear national policy, and find that the United States government has engaged in far less transparency that one could have ever expected.
We can only say its spread is accelerated dramatically by structures of globalization, and it stands to disrupt them. utterly Even as we map what seem total global knowledge of the disease, analogous to what we have come to expect from Global Positioning System, the multiple holes in our picture of the spread of the disease provide little sense of mastery over the pathways of communication, contraction, and infection we have come to expect from maps. These maps may even be especially disorienting in a world where expertise is often dismissed in the United States–not only by the U.S. President, but out of frustration at the inability to distance, diagnose, track or supervise the disease that is increasingly threatens to get the better hand. Have our visualizations been something of a losing battle, or a war of atrophy we will not win? Or do we even know what sorts of data to look at–indeed, what is information that can help us process a sense of what might be the geography of the contraction or the transmutability of the virus? Is the virus eluding our maps, as we try to make them? These sort of questions of making sense may be the process of science, but they trace, suddenly, a far steepder learning curve than we are used.
If we were cautioned by a dismissed biomedical researcher who ran efforts to develop a vaccine we lack that the failure a trusted, standard, and centralized plan for testing strategies must play a part in the coordinated plan “to take this nation through this response,” said Dr. Bright, who was abruptly removed last month from his position as head of the Biomedical Advanced Research and Development Authority. We have limited statistics, alas, in large part as fear of providing too many tests–or fanning the flames of insecurity that testing might promote in the general public and in our financial markets, seem to have created the most dangerously deceptive scenario in which the United States seems to be committed to projecting confidence, even if it is the global epicenter of the spread of the highly contagious novel coronavirus.
Have we developed a language to orient ourselves to the scale of emergency in the spread of COVID-19? While we turn to images of natural disasters in describing the “epicenter” of the outbreak in Wuhan, this hardly conjures the species jump and under-the-radar communication of the virus that was not tracked for months before it emerged as a global threat. In tracking COVID-19 globally, or over a broad expanse of nations or states, we often ignored the pathways by which the novel coronavirus is spread in crowded spaces, where the single strand of RNA may hang in droplets that linger in the air, and are looking at the small scale maps to track a microscopic pathogen. But we are increasingly aware the spread of these strands, of the virus SARS-CoV-2, that infect populations along increasingly unequal fault lines that divide our cities, nations, health care systems, and crowding, or access to open space, are all poorly mapped in the choropleths into which we continue to smooth the datasets of infections and hospitalizations. While the problems are posed for national health services in each region, the devastation and danger of overloading public health systems and hospitals outweighs are local manifestations of a global crisis of the likes we have not confronted.Continue reading