Gillian Tett Contagion chapter

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(OR WHY CAN’'T MEDICINE STOP PANDEMICS?) “Human diversity makes tolerance more than a virtue; it makes it a requirement for survival.” —René Dubos' Paul Richards, a white-bearded anthropology professot, sat in an or- nate eighteenth-century conference room inside the Admiralty Building in Whitehall, headquarters of the British government. The walls were festooned with oil paintings of British dignitaries. Facing him, across a highly polished mahogany table was Chris Whitty, a balding doctor- turned-bureaucrat who was chief scientific advisor for the British govern- ment’s overseas aid and a respected expert on issues such as infectious diseases. It was the late summer of 2014. Whitty had reason to be wortied. Some months earlier a highly in- fectious disease called Ebola had started to sweep through Britain’s for- mer colony of Sierra Leone and neighboring Liberia and Guinea. Groups such as the World Health Organization and Médecins Sans Fronti¢res had rushed to halt the contagion. So had the UK, French, and Ameri- can governments: Barack Obama’s American administration had even sent four thousand troops to Liberia. The world’s best medical experts at
ANTHR.O_-VISION places such as Harvard were huntrng for a-vaccine, and computer scien- tists were using Big Data tools to track i it. But nothing had worked Ebola kept movrng through the vast for- ests of West Africa. The governments in, Europe and the Unrted States were braced for it to arrive 1mmrnently on their shores. Theé Centers for Disease Control in Washmgton was warmng that the world was “losing - the fight” agamst the disease and nore than 1 miillion people would die unless somethlng——anythrng—could turn the tide.? So Whitty had sum- moned Richards and other anthropologrsts with a questron. Why had - computing and medical science: apparently farled in West Afrrca> Had Western scientific experts mrssed somethrng _ » - Richards hardly knew Whether to laugh-or cry A couple of de- cades carlier a British cabmet mlnrster named Norman Tebbit had an—. nounced; ‘while workmg in-a srmrlar white stucco burldmg, that it was a waste of pubhc money to fund anthropologrsts since they just did ir- relevant research, such as “studies of the prenuptral habrts of natives of the Upper Volta valley. Rlchards eprtomrzed Tebbrts target. He hailed from the Brrtrsh Pennines and had started hrs career 4s a geographer, but then spent four decades dorng patrent partrcrpant observation among .the Mende people in the forest reglons of Srerra Leorie, living among them, spealong therr language—and marryrng a local woman, Esther -Mokuwa. She Was a seasoned researcher in her own right, and also sat - at the mahogany table facing \Whltty Richards was an expert on agricul- - ' tural practices but also fascinated by Mende ritual since he espoused a. " “Durkheimian” phrlosoph)r, named after the French intellectual Brmile _ Durlkheim, that: argued that cosmology shapes behavior (and vice versa). Richards passionately- beheved that. rrtuals matter, be they marriage cer- emonies, death rites, or anythrng else 5 Tebbrt had ‘scorned this: But in; 2014 hrstory had taken a pecu— liar twist. As-Ebola spread reports had emerged about behavior and beliefs that seemed horrrfymgly strange to Western ears: patrents were CONTAGION running away from hospitals, hiding from aid workers, attacking (and killing) healthcare professionals, holding funerals where they touched the infected—and highly infectious—corpses of Ebola victims. “I heard peo- ple kiss dead bodies,” Whitty said. Western journalists had reported this detail with baffled horror; it evoked the type of exotic—racist—images from Joseph Conrad’s novella Heart of Darkness. “They don’t just kiss bodies for no reason!” Mokuwa retorted. She had arrived at the Whitehall building stricken with grief-for her dying compatriots. But she was also furiously angry. The main reason why the anti-pandemic policy was going so wrong, she told Whitty, was that Western medical “experts” were only looking at events through their own assumptions, not locals’ eyes. Without some empathy—or an attempt to make strange seem familiar—medical and data science would be useless. The meeting drew to a close. As they trooped out, Richards spotted a historical plaque at the side of the ornate room—and burst out laughing. The meeting room had once hosted the corpse of Lord Admiral Nelson, the revered British naval hero, who had died in the Battle of Trafalgar in 1805. After death, his body was apparently pickled in a cask of brandy, brought back to Britain in a ship called the HMS Pickle (yes, really).* It was then displayed in Greenwich and Admiralty House, Whitehall. Some fifteen thousand mourners came to pay respect—by touching and kissing his brandy-soaked corpse.® “If Nelson had Ebola, everyone in London would have caught it!” Richards pointed out. Whitty laughed. However, Richards was trying to highlight a serious point: no culture has a right to dismiss other cultures as “strange” without realizing that their own behavior can also look odd. Particulatly in a pandemic. *No, I am not making this up: it really happened. If you are chuckling or wincing, ask yourself this: Why? What does it reveal about your view of ° ‘normal?” Then watch the Netflix series Zhe Crown to see how the body of King George VI was embalmed and displayed as recently as 1952. Ideas of “normal” change.
ANTHRO-VISION The word “Ebola” comes from the name of a river deep in the Aftican Congo. In 1976, doctors reported a strange—terrifying—new “hemor- thagic fever” around that Ebola River. It started with a fever, sore throat, muscular pain, headaches, vomiting, diarrhea, and rashes, but often led to liver and kidney failure and internal bleeding. The Johns Hopkins Medical Center observed that “25 percent to 90 percent of those infected” died, with “average case fatality rate . . . around 50 percent.”” That was comparable to Europe’s thirteenth-century Black Death plague.* In the subsequent three decades, the disease sporadically flared up in different African regions, but then ebbed away because its victims ex- pired so fast. That changed in December 2013 when a two-year-old child became infected in a village in Guinea, near the town called Guéckédou, located near the wiggly—artificial—borders that nineteenth-century co- lonial rulers had used to divide the vast West African forests into coun- cries called “Guinea,” “Sierra Leone,” and “Liberia.” The Jocal population were tightly entwined with one another, constantly moving across the borders, and the disease spread quickly. A dark-haired American called Susan Erikson was one of the first Westerners to hear about Ebola. Early in her life she had spent a couple of years in Sierra Leone, as an idealistic volunteer with America’s Peace Corps. She then returned to college in the 1990s to do a doctorate in anthropol- ogy but with a twist: she combined cultural analysis with medical studies. This branch of the discipline, called “medical anthropology,” champions a core idea: the human body cannot be explained by “hard” science alone, since sickness and health need to be put in a cultural and social context. Doctors typically view the human body in terms of biology. However, in *The reason for the wide range in mortality rates is that the impact of Ebola varied enormously between communities, depending on poverty levels, healthcare, and infra- structure, as Paul Farmer, the medical anthropologist, has stressed. CONTAGION most cultures the body is also treated “as an image of society” that reflects our beliefs about issues such as pollution and purity, as Mary Douglas, the anthropologist, points out.? This affects how health, sickness, and medi- cal risk are viewed. Or, as Douglas observed in a book she coauthored on nuclear, environmental, and medical risks, since “the perception of risk is a social process,” each culture “is biased towards highlighting certain risks and downplaying others.” During a pandemic, for example, people typi- cally cling to “their own” group, however they choose to define it. That means people typically overemphasize risks that arrive from outside the group and underestimate the ones that are inside the group. Throughout history pandemics have been associated with xenophobia, even if people are complacent about domestic infection risks. Erikson initially hoped to use medical anthropology to study repro- ductive health in Sierra Leone. But in the 1990s a brutal civil war erupted in the region. So she switched her focus to Germany before eventually re- turning to Sierra Leone, from her academic base at Simon Fraser Univer- sity in Canada, to explore how digital health technology was impacting public health. On February 27, 2014, she woke up in a rented room in Freetown, Sierra Leones capital, reached for her phone, and read about a “strange hemorrhagic fever presenting like Ebola” in an online news- feed. “I just went, ‘OK,’ better note that. But I wasn’t too concerned. I see a lot of ‘dread disease’ feeds like that,”'® she recalls. Then, when the health ministry called a meeting to plan its response, with government officials and representatives from groups such as Médecins Sans Fron- tieres (MSF), UNICEE and the World Health Organization, Erikson’s research team attended to do some participant observation. “An administrator begins the meeting with an overview of Ebola and the threat of its spread,” the research team’s field notes say. “Then [the administrator] moves to the task: “We have a template [to fight Ebola], but we need to bring it home, to make it Sierra Leonean.” He explains that the template is a WHO document from [an earlier Ebola episode in] 59
ANTHRO-VISION Uganda that needs to be wordsmith[ed] for Sierra Leone. “We are here to make surveillance and laboratory plans.””*! “People in the audience respond as though they've done this before,” the notes continue. “The group begins discussing surveillance tools— reviewing the standards for evaluating suspected and confirmed Ebola cases. . . . People begin debating about the number of people that need to be trained for RRTs (Rapid Response Teams). People calculate that with 1200 Public Health Units (PHUs) (health posts) throughout the country plus private sector clinics, 2 RRTs per PHU means that 2500 people need to be trained.” To patticipants, the conversation seemed unremarkable, The Sierra Leonean officials were following a script to fight contagion created by in- ternational organizations such as WHO and legitimized by global health science. But as Erikson listened, she felt worried. Officials were tossing around acronyms like talismans to ward off danger, signal power, and un- lock funding from Western donors. She had seen this many times before. However the Sierra Leoneans lacked the sovereignty to make their own decisions about Ebola and nobody was asking the Sierra Leoneans what was best—or what would-be Ebola victims might want. Is #his really the best way to fight a pandemic? Erikson wondered. She feared not. Two weeks later, on March 11, a Boston-based tech ‘platform called HealthMap issued a global alert about Ebola. It seemed a victory for American innovation. Until that point, it had always been WHO that warned the world about a new disease outbreak. But HealthMap, which won funding from Google, had beaten it to the punch. “Meet the Bots That Knew Ebola Was Coming!” trumpeted a headline from' 77me maga- zine, next to some terrifying photographs of healthcare workers wearing white hazmat suits and goggles, in an African jungle.”? “How This Al- gorithm Detected the Ebola Outbreak Before Humans Could!” declared Fast Company.”® The news sparked excitement among Western medical a0 CONTAGION groups and techies. It scemed that these computing tools could not only track the disease, but also predict where it might move next in a way that would enable Ebola to be crushed swiftly. At Harvard Medical School, a British researcher called Caroline Buckee had analyzed the records of 15 million Kenyan cell phones to track the spread of malaria. She hoped to do same with Ebola and asked the telecoms company Orange for permis- sion to use cell phone data in Liberia for this purpose. “The ubiquity of cell phones is really changing how we think of diseases,” she observed.™ Half a world away in Freetown, however, Erikson was getting wor- ried. With a bird’s-eye view, the data science seemed impressive. Not so with a worm’s-eye perspective. One reason was that sites such as Health- Map tended to track news in English, not local African Janguages or even the French used in Guinea. There was no guarantee that models developed for malaria could be transposed onto Ebola.”” There were few reliable cell phone towers to dispatch the all-important “pings.” Most important, there was the problem that Intel had grappled with: it was a mistake for anybody (especially Western techies) to assume that everyone shared their attitude to life. In America or Europe, people typically have a one-on-one relationship with their phone, and these devices are re- garded as “private” property, an extension of self. Losing a phone feels to Westerners almost like losing part of themselves. Not so in Sierra Leone. “Cell phones are loaned, traded, and passed around among family and friends, like clothes, books, and bicycies. A single phone can be shared by an extended family or, in rural areas, a neighborhood or a village,” Erikson observed.' Thus while the phone records suggested that phone ownership in Sierra Leone equated to 94 percent of the population, this did 70r mean that everyone had a phone, as Western tech experts tended to assume; some people had a phone for each network, but others had none. “Pings” were not people. That made it impossible to build accurate predictive models with “pings” alone. Computer science needs social sci- ence, if you want to make sense of data.
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