Results for “pandemic model” 78 found
Sweden’s annual inflation rate rose to 2.5 percent in September of 2021 from 2.1 percent in August but below market expectations of 2.7 percent. It was the highest since November of 2011, mainly due to prices of housing & utilities (5.1 percent vs 3.8 percent in August), namely electricity and transport (6.2 percent vs 6.4 percent), of which fuels. Additional upward pressure came from education (2.5 percent vs 2 percent); restaurants & hotels (2.4 percent vs 2.6 percent); miscellaneous goods & services (2 percent vs 1.4 percent) and food & non-alcoholic beverages (0.9 percent vs 0.3 percent). Consumer prices, measured with a fixed interest rate, rose 2.8 percent year-on-year in September, the fastest pace since October of 2008, below market expectations of 3 percent but above the central bank’s target of 2 percent. On a monthly basis, both the CPI and the CPIF rose 0.5 percent.
Here is the link, they are an open economy facing lots of supply shocks, right? So what is up?
Denmark’s annual inflation increased to 2.2% in September of 2021 from 1.8% in the previous month. It was the highest inflation rate since November 2012, due to a rise in both prices of electricity (15.2%), pointing to the highest annual increase since December 2008 and gas (52.8%), which is the highest annual increase since July 1980.
I thank Vero for the pointer. In an email to me she asks:
“If supply issues are the only cause of our inflation woes, then why is it that countries that spent less than 5% of GDP on the pandemic are experiencing average inflation of 2.15%? While countries that spent over 15% of GDP are experiencing average inflation of 3.94%? I don’t know the answer but I think it is worth asking this question.”
Of course, there are national health systems in Canada, Mexico, England, and France, among many others, and the uniformity of failure across this heterodox group suggests that structure may have made less of a difference than culture.
“One of the common features is that we are a medical-centric group of countries,” says Michael Mina, a Harvard epidemiologist who has spent the pandemic advocating for mass rollout of rapid testing on the pregnancy-kit model — only to meet resistance at every turn by those who insisted on a higher, clinical standard for tests. “We have an enormous focus on medicine and individual biology and individual health. We have very little focus as a group of nations on prioritizing the public good. We just don’t. It’s almost taboo — I mean, it is taboo. We have physicians running the show — that’s a consistent thing, medical doctors across the western European countries, driving the decision-making.” The result, he says, has been short-sighted calculations that prioritize absolute knowledge about everything before advising or designing policy about anything.
…in East Asia, countries didn’t wait for the WHO’s guidance to change on aerosols or asymptomatic transmission before masking up, social-distancing, and quarantining. “They acted fast. They acted decisively,” says Mina. “They made early moves. They didn’t sit and ponder: ‘What should we do? Do we have all of the data before we make a single decision?’ And I think that is a common theme that we’ve seen across all the Western countries—a reluctance to even admit that it was a big problem and then to really act without all of the information available. To this day, people are still not acting.” Instead, he says, “decision-makers have been paralyzed. They would rather just not act and let the pandemic move forward than act aggressively, but potentially be wrong.”
This, he says, reflects a culture of medicine in which the case of the individual patient is paramount.
Here is more from David Wallace-Wells, interesting throughout and with a cameo from yours truly.
Steven Joffe, MD, MPH, a medical ethicist at the University of Pennsylvania, said he doesn’t believe clinicians “should be lowering our standards of evidence because we’re in a pandemic.”
Link here. That sentence is a good litmus test for whether you think clearly about trade-offs, statistical and speed trade-offs included, procedures vs. final ends of value (e.g., human lives), and how obsessed you are with mood affiliation (can you see through his question-begging invocation of “lowering our standards”?). It is stunning to me that a top researcher at an Ivy League school literally cannot think properly about his subject area at all, and furthermore has no compunction admitting this publicly. As Alex wrote just earlier today: “Waiting for more data isn’t “science,” it’s sometimes an excuse for an unscientific status-quo bias.”
To be clear, we should run more and better RCT trials of Ivermectin, the topic at hand for Joffe (and in fact Fast Grants is helping to fund exactly that). But of course the “let’s go ahead and actually do this” decision should be different in a pandemic, just as the “just how much of a hurry are we in here anyway?” calculus should differ as well. I do not know enough to judge whether Ivermectin should be in hospital treatment protocols, as it is in many countries, but I do not condemn this simply on the grounds of it representing a “lower standard.” It might instead reflect a “higher standard” of concern for human lives, and you will note the drug is not considered harmful as it is being administered.
If you apply the standards of Joffe’s earlier work, we should not be proceeding with these RCTs, including presumably vaccine RCTs, until we have assured that all of the participants truly understand the difference between “research” and “treatment” as part of the informed consent protocols. No “therapeutic misconception” should be allowed. Really?
If the pandemic has changed my mind about anything, it is the nature of expertise.
In Preparing for a Pandemic, (forthcoming AER PP), by myself and a host of worthies including Susan Athey, Eric Budish, Canice Prendergast, Scott Duke Kominers, Michael Kremer and others equally worthy, we explain the model that we have been using to estimate the value of vaccines and to advise governments. The heart of the paper is the appendix but the paper gives a good overview. Based on our model, we advised governments to go big and we had some success but everywhere we went we were faced with sticker shock. We recommended that even poor countries buy vaccines in advance and that high-income countries make large investments in vaccine capacity of $100b or more in total.
It’s now obvious that we should have spent more but the magnitudes are still astounding. The world spent on the order of $20b or so on vaccines and got a return in the trillions! It was hard to get governments to spend billions on vaccines despite massive benefit-to-cost ratios yet global spending on fiscal support was $14 trillion! Even now, there is more to be done to vaccinate the world quickly, but still we hesitate.
I went over the model for Jess Hoel’s class and we also had a spirited discussion of First Doses First and other policies to stretch the vaccine supply.
The government this week proposed an emergency law that would allow it to lock down large parts of society; the first recommended use of face masks came into force; and the authorities gave schools the option to close for pupils older than 13 — all changes to its strategy to combat the pandemic.
“I don’t think Sweden stands out [from the rest of the world] very much right now,” said Jonas Ludvigsson, professor of clinical epidemiology at Karolinska Institutet in Stockholm. “Most of the things that made Sweden different have changed — either in Sweden or elsewhere.”
…Sweden has reported more than 2,000 Covid-19 deaths in a month and 535 in the past eight days alone. This compares with 465 for the pandemic as a whole in neighbouring Norway, which has half the population. As Sweden’s King Carl XVI Gustaf said just before Christmas: “We have failed.”
Here is more from the FT. U.S. Covid deaths per day have now exceeded 4,000 for some days, and they are running at about 50% of the normal number for total daily deaths. And no, it is not that the payments to classify these as Covid deaths have increased, rather the virus and the deaths have increased. So the “no big deal” question we now can consider settled? The new and more contagious strains haven’t even started playing a major role yet in the United States.
In July 2019, the nonpartisan Congressional Budget Office estimated that a $15 minimum wage would eliminate 1.3 million jobs. The CBO also forecast that such an increase would reduce business income, raise consumer prices, and slow the economy.
The U.S. economy will be very weak throughout 2021. The nation will need more business income, not less; more jobs, not fewer; and faster, not slower, economic growth. A $15 minimum wage would move the economy in the wrong direction across all these fronts.
I fully agree, and in fact would go further. On Twitter I wrote in response to Noah:
Surely in a pandemic these businesspeople are right and the accumulated non-pandemic research literature doesn’t apply so much, right? Pretty much all models imply we should cut the minimum wage, if only temporarily, for small business at the very least.
Put in whatever exotic assumptions you wish, a basic model will spit out a lower optimal minimum wage for 2020-21, again for small business at the very least. This is the advice that leading Democratic economists should be offering to Biden.
Here is a new paper from , , and :
Background Recent reports based on conventional SEIR models suggest that the next wave of the COVID-19 pandemic in the UK could overwhelm health services, with fatalities that far exceed the first wave. These models suggest non-pharmaceutical interventions would have limited impact without intermittent national lockdowns and consequent economic and health impacts. We used Bayesian model comparison to revisit these conclusions, when allowing for heterogeneity of exposure, susceptibility, and viral transmission. Methods We used dynamic causal modelling to estimate the parameters of epidemiological models and, crucially, the evidence for alternative models of the same data. We compared SEIR models of immune status that were equipped with latent factors generating data; namely, location, symptom, and testing status. We analysed daily cases and deaths from the US, UK, Brazil, Italy, France, Spain, Mexico, Belgium, Germany, and Canada over the period 25-Jan-20 to 15-Jun-20. These data were used to estimate the composition of each country’s population in terms of the proportions of people (i) not exposed to the virus, (ii) not susceptible to infection when exposed, and (iii) not infectious when susceptible to infection. Findings Bayesian model comparison found overwhelming evidence for heterogeneity of exposure, susceptibility, and transmission. Furthermore, both lockdown and the build-up of population immunity contributed to viral transmission in all but one country. Small variations in heterogeneity were sufficient to explain the large differences in mortality rates across countries. The best model of UK data predicts a second surge of fatalities will be much less than the first peak (31 vs. 998 deaths per day. 95% CI: 24-37)–substantially less than conventional model predictions. The size of the second wave depends sensitively upon the loss of immunity and the efficacy of find-test-trace-isolate-support (FTTIS) programmes. Interpretation A dynamic causal model that incorporates heterogeneity of exposure, susceptibility and transmission suggests that the next wave of the SARS-CoV-2 pandemic will be much smaller than conventional models predict, with less economic and health disruption. This heterogeneity means that seroprevalence underestimates effective herd immunity and, crucially, the potential of public health programmes.
This would appear to be one of the very best treatments so far, though I would stress I have not seen anyone with a good understanding of the potential rotation (or not) of super-spreaders, especially as winter comes and also as offices reopen. In that regard, at the very least, modeling a second wave is difficult.
Via Yaakov Saxon, who once came up with a scheme so clever I personally sent him money for nothing.
It has become increasingly clear that the COVID-19 epidemic is characterized by overdispersion whereby the majority of the transmission is driven by a minority of infected individuals. Such a strong departure from the homogeneity assumptions of traditional well-mixed compartment model is usually hypothesized to be the result of short-term super-spreader events, such as individual’s extreme rate of virus shedding at the peak of infectivity while attending a large gathering without appropriate mitigation. However, heterogeneity can also arise through long-term, or persistent variations in individual susceptibility or infectivity. Here, we show how to incorporate persistent heterogeneity into a wide class of epidemiological models, and derive a non-linear dependence of the effective reproduction number R_e on the susceptible population fraction S. Persistent heterogeneity has three important consequences compared to the effects of overdispersion: (1) It results in a major modification of the early epidemic dynamics; (2) It significantly suppresses the herd immunity threshold; (3) It significantly reduces the final size of the epidemic. We estimate social and biological contributions to persistent heterogeneity using data on real-life face-to-face contact networks and age variation of the incidence rate during the COVID-19 epidemic, and show that empirical data from the COVID-19 epidemic in New York City (NYC) and Chicago and all 50 US states provide a consistent characterization of the level of persistent heterogeneity. Our estimates suggest that the hardest-hit areas, such as NYC, are close to the persistent heterogeneity herd immunity threshold following the first wave of the epidemic, thereby limiting the spread of infection to other regions during a potential second wave of the epidemic. Our work implies that general considerations of persistent heterogeneity in addition to overdispersion act to limit the scale of pandemics.
Here is the full paper by Alexei Tkachenko, et.al., via the excellent Alan Goldhammer. These models are looking much better than the ones that were more popular in the earlier months of the pandemic (yes, yes I know epidemiologists have been studying heterogeneity for a long time, etc.).
Or you could say “all-star economists write Covid-19 paper.” Daron Acemoglu, Victor Chernozhukov, Iván Werning, and Michael D. Whinston have a new NBER working paper. Here is part of the abstract:
For baseline parameter values for the COVID-19 pandemic applied to the US, we find that optimal policies differentially
targeting risk/age groups significantly outperform optimal uniform policies and most of the gains can be realized by having stricter lockdown policies on the oldest group. For example, for the same economic cost (24.3% decline in GDP), optimal semi–targeted or fully-targeted policies reduce mortality from 1.83% to 0.71% (thus, saving 2.7 million lives) relative to optimal uniform policies. Intuitively, a strict and long lockdown for the most vulnerable group both reduces infections and enables less strict lockdowns for the lower-risk groups.
Note the paper is much broader-ranging than that, though I won’t cover all of its points. Note this sentence:
Such network versions of the SIR model may behave very differently from a basic homogeneous-agent version of the framework.
…we find that semi-targeted policies that simply apply a strict lockdown on the oldest group can achieve the majority of the gains from fully-targeted policies.
Here is a related Twitter thread. I also take the authors’ model to imply that isolating infected individuals will yield high social returns, though that is presented in a more oblique manner.
Again, I would say we are finally making progress. One question I have is whether the age-specific lockdown in fact collapses into some other policy, once you remove paternalism as an underlying assumption. The paper focuses on deaths and gdp, not welfare per se. But what if older people wish to go gallivanting out and about? Most of the lockdown in this paper is for reasons of “protective custody,” and not because the older people are super-spreaders. Must we lock them up (down?), so that we do not feel too bad about our own private consumption and its second-order consequences? What if they ask to be released, in full knowledge of the relevant risks?
We extend the canonical epidemiology model to study the interaction between economic decisions and epidemics. Our model implies that people’s decision to cut back on consumption and work reduces the severity of the epidemic, as measured by total deaths. These decisions exacerbate the size of the recession caused by the epidemic. The competitive equilibrium is not socially optimal because infected people do not fully internalize the e§ect of their economic decisions on the spread of the virus. In our benchmark scenario, the optimal containment policy increases the severity of the recession but saves roughly 0.6 million lives in the U.S.
I would add this: if you hold the timing and uncertainty of deaths constant, death and output tend to move together. That is, curing people and developing remedies and a vaccine will do wonders for gdp, through the usual channels. The tricky trade-off is between output and the timing of deaths. Whatever number of people are going to die, it is better to “get that over with” and clear up the uncertainty. Policy is thus in the tricky position of wishing to both minimize the number of deaths and yet also to speed them along. Good luck with that! In terms of an optimum, might it be possible that some of the victims do not…get infected and die quickly enough? Might that be the more significant market failure?
Via Harold Uhlig. In any case, kudos to the authors for focusing their energies on this critical problem.
The high frequency of modern travel has led to concerns about a devastating pandemic since a lethal pathogen strain could spread worldwide quickly. Many historical pandemics have arisen following pathogen evolution to a more virulent form. However, some pathogen strains invoke immune responses that provide partial cross-immunity against infection with related strains. Here, we consider a mathematical model of successive outbreaks of two strains: a low virulence strain outbreak followed by a high virulence strain outbreak. Under these circumstances, we investigate the impacts of varying travel rates and cross-immunity on the probability that a major epidemic of the high virulence strain occurs, and the size of that outbreak. Frequent travel between subpopulations can lead to widespread immunity to the high virulence strain, driven by exposure to the low virulence strain. As a result, major epidemics of the high virulence strain are less likely, and can potentially be smaller, with more connected subpopulations. Cross-immunity may be a factor contributing to the absence of a global pandemic as severe as the 1918 influenza pandemic in the century since.
Hat tip: Paul Kedrosky.
In October of 2020 Science published a long article by Charles Piller titled Undermining CDC with the subtitle “Deborah Birx, President Donald Trump’s COVID-19 coordinator, helped shake the foundation of a premier public health agency.” The article focuses on a battle between Deborah Birx and the CDC over collecting data from hospitals with the basic message that Birx was an arrogant Trump tool who interfered with the great CDC. One year later, much of the article has a different cast beginning with “premier public health agency”. Hmmpfff. The opening now reads to me as almost laughable:
Zaidi lifted her mask slightly to be heard and delivered a fait accompli: Birx, who was not present, had pulled the plug on the Centers for Disease Control and Prevention’s (CDC’s) system for collecting hospital data and turned much of the responsibility over to a private contractor, Pittsburgh-based TeleTracking Technologies Inc., a hospital data management company. The reason: CDC had not met Birx’s demand that hospitals report 100% of their COVID-19 data every day.
According to two officials in the meeting, one CDC staffer left and immediately began to sob, saying, “I refuse to do this. I cannot work with people like this. It is so toxic.” That person soon resigned from the pandemic data team, sources say.
Other CDC staffers considered the decision arbitrary and destructive. “Anyone who knows the data supply chain in the U.S. knows [getting all the data daily] is impossible” during a pandemic, says one high-level expert at CDC. And they considered Birx’s imperative unnecessary because staffers with decades of experience could confidently estimate missing numbers from partial data.
“Why are they not listening to us?” a CDC official at the meeting recalls thinking. Several CDC staffers predicted the new data system would fail, with ominous implications. “Birx has been on a months long rampage against our data,” one texted to a colleague shortly afterward. “Good f—ing luck getting the hospitals to clean up their data and update daily.”
Deborah Birx convinced the Coronavirus Task Force to direct money to the CDC to modernize its reporting of the COVID hospital data, but the CDC said no.
…The federal government had bought the entire available supply [of remedsivir], and HHS needed to know where to ship its limited doses [but]…the CDC didn’t have actual data on who was currently hospitalized for COVID, just estimates built off a model….Birx said that the government couldn’t ship scarce doses of the valuable medicine to treat estimated patients that were hypothetically hospitalized according to a mathematical formula. So she gave hospitals an ultimatum. If they wanted to get access to remedsivir, they would need to start reporting real data on the total number of COVID patients that they admitted each day. Hospitals quickly started to comply…Rather than cajole the CDC into fixing its reporting system, Ambassador Birx and Secretary Azar decided to recreate that structure outside the agency. The had concluded that getting the CDC to change its own scheme, and abandon its historical approach to modeling these data, would have been too hard.
…Under the new reporting system, 95% of US hospitals soon provided 100 percent of their daily hospital admission data. In an unfortunate twist, the CDC declined to work with the new data, worrying that since it wasn’t their data, they couldn’t assure its providence and couldn’t fully trust its reliability. As one senior HHS official put it to me, the CDC “took their ball and went home.”
…The cofounders of the COVID Tracking Project, one of the most authoritative and closely watched enterprises to report bottom-line information about the pandemic, would later say of the [HHS/Teletracking data], “the data set that we trust the most–and that we believe dose not come with major questions–is the hospitalization data overseen by the Department of Health and Human Services. At this point, virtually every hospital in America is reporting to the department as required. We now have a good sense of how many patients are hospitalized with COVID-19 around the country.” [Link here, AT]
Gottlieb’s story strikes me as much closer to the truth. Why? Notice that on most of the facts the stories agree. Gottlieb says the CDC refused to work with the HHS data and took their ball and went home. The Piller story has CDC people sobbing, angry, and saying “I refuse to do this.” Check. What differs is the interpretation and everything in Piller’s story is infected by an anti-Trump perspective. I don’t blame Piller for being anti-Trump but Trump plays no role in the story he just hovers in the background like a bogeyman. Piller says, for example:
…Birx’s hospital data takeover fits a pattern in which she opposed CDC guidance, sometimes promoting President Donald Trump’s policies or views against scientific consensus.
“Fits a pattern.” Uh huh.
Birx sometimes “promoted President Donald Trump’s policies.” Promoting the policies of the President of the United States? Why that’s practically treason!
Promoting views that go “against scientific consensus” Yeah, the “scientific consensus” of workers at the CDC.
Trump obviously had no interest in how hospital data was collected yet he is portrayed throughout as the hidden puppeteer behind the story.
Gottlieb’s story removes Trump from the equation and that rings true because we now know that the Biden administration has been as frustrated with the CDC as was the Trump administration. Politico writes, for example:
…senior officials from the White House Covid-19 task force and the Food and Drug Administration have repeatedly accused CDC of withholding critical data needed to develop the booster shot plan…
…the CDC advisory committee episode in late August only reinforced perceptions in the [Biden] White House that the agency represents the weakest link in a Covid-19 response…
The agency has for years struggled with obtaining accurate disease data from state health departments, and the pandemic strained the country’s public health infrastructure, causing massive delays in reporting and case investigation.
Withholding critical data. Struggling to obtain accurate data. Massive delays. Sound familiar? Indeed, if these parallels weren’t enough we even have CDC Director Rochelle Walensky overruling CDC scientists to allow boosters–but Walensky, unlike Birx, gets the benefit of the doubt so the story isn’t sold as Walensky going against scientific consensus to promote President Biden.
Evaluations of Trump colored evaluations of all the people and policies of the Trump administration leading to reporting that was sometimes unjust and inaccurate. It will take time to sort it all out.
Angad Daryani / Praan
Angad Daryani is 22-year-old social entrepreneur and inventor from Mumbai, and his goal is to find solutions for clean air at a low cost, accessible to all. He received his EV grant to build ultra-low cost, filter-less outdoor air purification systems for deployment in open areas through his startup Praan. Angad’s work was recently covered by the BBC here.
Swasthik Padma is a 19-year-old inventor and researcher. He received his EV grant to develop PLASCRETE, a high-strength composite material made from non-recyclable plastic (post-consumer plastic waste which consists of Multilayer, Film Grade Plastics and Sand) in a device called PLASCREATOR, also developed by Swasthik. The final product serves as a stronger, cost-effective, non-corrosive, and sustainable alternative to concrete and wood as a building material. He is also working on agritech solutions, desalination devices, and low cost solutions to combat climate change.
Ajay Shah is an economist, the founder of the LEAP blog, and the coauthor (with Vijay Kelkar) of In Service of the Republic: The Art and Science of Economic Policy, an excellent book, covered by Alex here. He received his EV grant for creating a community of scholars and policymakers to work on vaccine production, distribution, and pricing, and the role of the government and private sector given India’s state capacity.
Meghraj Suthar, is an entrepreneur, software engineer, and author from Jodhpur. He founded Localites, a global community (6,000 members from more than 130 countries) of travelers and those who like to show around their cities to travelers for free or on an hourly charge. He also writes inspirational fiction. He has published two books: The Dreamers and The Believers and is working on his next book. He received his EV grant to develop his new project Growcify– helping small & medium-sized businesses in smaller Indian cities to go online with their own end-to-end integrated e-commerce app at very affordable pricing.
Jamie Martin/ The Queen’s English
Jamie Martin and Sandeep Mallareddy founded The Queen’s English to develop a tool to help speak English. Indians who speak English earn 5x more than those who don’t. The Queen’s English provides 300 hours of totally scripted lesson plans on a simple Android app for high quality teaching by allowing anyone who can speak English to teach high quality spoken English lessons using just a mobile phone.
Rubén Poblete-Cazenave is a post-doctoral fellow at the Department of Economics at Erasmus University Rotterdam. His work has focused on studying topics on political economy, development economics and economics of crime, with a particular interest in India. Rubén received his EV grant to study the dynamic effects of lockdowns on criminal activity and police performance in Bihar, and on violence against women in India.
Chandra Bhan Prasad
Chandra Bhan Prasad is an Indian scholar, political commentator, and author of the Bhopal Document, Dalit Phobia: Why Do They Hate Us?, What is Ambedkarism?, Dalit Diary, 1999-2003: Reflections on Apartheid in India, and co-author author (with D Shyam Babu and Devesh Kapur) of Defying the Odds: The Rise of Dalit Entrepreneurs. He is also the founder of the ByDalits.com e-commerce platform and the editor of Dalit Enterprise magazine. He received his EV grant to pursue his research on Dalit capitalism as a movement for self-respect.
Praveen Tiwari is a rural education entrepreneur in India. At 17, he started Power of Youth to increase education and awareness among rural students in his district. To cope with the Covid lockdown he started the Study Garh with a YouTube channel to provide better quality educational content to rural students in their regional language (Hindi).
Preetham R and Vinayak Vineeth
Preetham R. and Vinayak Vineeth are 17-year-old high-schoolers from Bangalore. Preetham is interested in computing, futurism and space; and Vinayak is thinking about projects ranging from automation to web development. They received their EV grant for a semantic text analysis system based on graph similarity scores. The system (currently called the Knowledge Engine) will be used for perfectly private contextual advertising and will soon be expanded for other uses like better search engines, research tools and improved video streaming experiences. They hope to launch it commercially by the end of 2022.
Shriya Shankar is a 20-year-old social entrepreneur and computer science engineer from Bangalore and the founder of Project Sitara Foundation, which provides accessible STEM education to children from underserved communities. She received her EV grant to develop an accessible ed-tech series focused on contextualizing mathematics in Kannada to make learning more relatable and inclusive for children.
Baishali Bomjan and Bhuvana Anand
Baishali and Bhuvana are the co-founders of Trayas Foundation, an independent research and policy advisory organization that champions constitutional, social, and market liberalism in India through data-informed public discourse. Their particular focus is on dismantling regulatory bottlenecks to individual opportunity, dignity and freedom. The EV grant will support Trayas’s work for reforms in state labor regulations that ease doing business and further prosperity, and help end legal restrictions placed on women’s employment under India’s labor protection framework to engender economic agency for millions of Indians.
Akash Bhatia and Puru Botla / Infinite Analytics
Infinite Analytics received their first grant for developing the Sherlock platform to help Indian state governments with mobility analysis to combat Covid spread. Their second EV grant is to scale their platform and analyze patterns to understand the spread of the Delta variant in the 2021 Covid wave in India. They will analyze religious congregations, election rallies, crematoria footfalls and regular daily/weekly bazaars, and create capabilities to understand the spread of the virus in every city/town in India.
Vishnuprasad is a 21-year-old BS-MS student at IISER Tirupati. He is interested in the intersection of political polarization and network science and focused on the emergence and spread of disinformation and fake news. He is working on the spread of disinformation and propaganda in spaces Indians use to access information on the internet. He received his EV grant to build a tool that tracks cross-platform spread of disinformation and propaganda on social media. He is also interested in the science of cooking and is a stand-up comedian and writer.
Prem Panicker is a journalist, cricket writer, and founding editor of peepli.org, a site dedicated to multimedia long form journalism focused on the environment, man/animal conflict, and development. He received an EV grant to explore India’s 7,400 km coastline, with an emphasis on coastal erosion, environmental degradation, and the consequent loss of lives and livelihoods.
Vaidehi Tandel is an urban economist and Lecturer at the Henley Business School in University of Reading. She is interested in understanding the challenges and potential of India’s urban transformation and her EV grant will support her ongoing research on the political economy of urbanization in India. She was part of the team led by Malani that won the EV Covid India prize.
Abhinav recently completed his Masters in the Behavioral and Computational Economics program at Chapman University’s Economic Science Institute. His goal is to make political economy ideas accessible to young Indians, and support those interested in advancing critical thinking over policy questions. He received his EV grant to start Polekon, a platform that will host educational content and organize seminars on key political economy issues and build a community of young thinkers interested in political economy in India.
CONTACT was founded by two engineers Ann Joys and Bevin A. as a low-cost, voluntary, contact tracing solution. They used RFID tags and readers for consenting individuals to log their locations at various points like shops, hotels, educational institutions, etc. These data are anonymized and analyzed to track mobility and develop better Covid policies, while maintaining user anonymity.
Onkar Singh Batra
Onkar Singh is a 16-year-old developer/researcher and high school student in Jammu. He received his first EV grant for his Covid Care Jammu project. His goal is to develop India’s First Open-Source Satellite, and he is founder of Paradox Sonic Space Research Agency, a non-profit aerospace research organization developing inexpensive and open-source technologies. Onkar received his second EV grant to develop a high efficiency, low cost, nano satellite. Along with EV his project is also supported by an Amateur Radio Digital Communications (ARDC) grant. Onkar has a working engineering model and is developing the final flight model for launch in 2022.
Storysurf, founded by Omkar Sane and Chirag Anand, is based on the idea that stories are the simplest form of wisdom and that developing an ocean of stories is the antidote to social media polarization. They are developing both a network of writers, and a range of stories between 6-300 words in a user-friendly app to encourage people to read narratives. Through their stories, they hope to help more readers consume information and ideas through stories.
Naman Pushp/ Airbound
Airbound is cofounded by its CEO Naman Pushp, a 16 year old high-schooler from Mumbai passionate about engineering and robotics, and COO Faraaz Baig, a 20 year old self-taught programmer and robotics engineers from Bangalore. Airbound aims to make delivery accessible by developing a VTOL drone design that can use small businesses as takeoff/landing locations. They have also created the first blended wing body tail sitter (along with a whole host of other optimizations) to make this kind of drone delivery possible, safe and accessible.
Anup Malani / CMIE / Prabhat Jha
An joint grant to (1) Anup Malani, Professor at the University of Chicago, (2) The Centre for Monitoring Indian Economy (CMIE), and (3) Prabhat Jha, Professor at University of Toronto and the Centre for Global Health Research, to determine the extent to which reported excess deaths in India are due to Covid. Recent studies show that that the pandemic in India may be associated with between 3 million to 4.9 million excess deaths, roughly 8-12 times officially reported number of COVID deaths. To determine how many of these deaths are statistically attributable to Covid, they will conduct verbal autopsies on roughly 20,000 deaths, with the results to be made publicly available.
Aditya Dar/The Violence Archive
A joint grant to Aaditya Dar, an economist at Indian School of Business, Kiran Garimella, a computer scientist at Rutgers University and Vasundhara Sirnate, a political scientist and journalist for creating the India Violence Archive. They will use machine learning and natural language processing to develop an open-source historical record of collective public violence in India over 100 years. The goal is to create accessible and high-quality public data so civil society can pursue justice and governments can make better policy.
Those unfamiliar with Emergent Ventures can learn more here and here. EV India announcement here. More about the winners of EV India second cohort here. To apply for EV India, use the EV application click the “Apply Now” button and select India from the “My Project Will Affect” drop-down menu.
Note that EV India is led and run by Shruti Rajagopalan, I thank her for all of her excellent work on this!
Operation Warp Speed was by far the most successful government program against COVID. But as of yet there is very little discussion or history of the program. As just an indication I looked for references in a bunch of pandemic books to General Perna who co-led OWS with Moncef Slaoui. Michael Lewis in The Premonition never mentions Perna. Neither does Slavitt in Preventable. Nor does Wright in The Plague Year. Nor does Gottlieb in Uncontrolled Spread. Abutaleb and Paletta in Nightmare Scenario have just two index entries for Perna basically just stating his appointment and meeting with Trump.
Yet there are many questions to be asked about OWS. Who wrote the contracts? Who chose the vaccines? Who found the money? Who ran the day to day operation? Why was the state and local rollout so slow and uneven? How was the DPA used? Who lifted the regulations? How was the FDA convinced to go fast?
I don’t know the answer to these questions. I suspect when it is all written down, Richard Danzig will be seen as an important behind the scenes player in the early stages (I was involved with some meetings with him as part of the Kremer team). Grogan at the DPC seems under-recognized. Peter Marks at the FDA was likely extremely important in getting the FDA to run with the program. Marks brought people like Janet Woodcock from the FDA to OWS so you had a nominally independent group but one completely familiar with FDA policy and staff and that was probably critical. And of course Slaoui and Perna were important leaders and communicators with the private sector and the logistics group but they have yet to be seriously debriefed.
It’s also time for a revisionist account of President Trump’s Council of Economic Advisors. Michael Kremer and I spoke to the DPC and the CEA early on in the pandemic and argued for a program similar to what would later be called OWS. The CEA, however, was way ahead of the game. In Sept of 2019 (yes, 2019!) the CEA produced a report titled Mitigating the Impact of Pandemic Influenza through Vaccine Innovation. The report calculates the immense potential cost of a pandemic and how a private-public partnership could mitigate these costs–all of this before anyone had heard the term COVID. Nor did that happen by accident. Thomas Philipson, the CEA chair, had made his reputation in the field of economic epidemiology, incorporating incentives and behavioral analysis in epidemiological models to understand HIV and the spread of other infectious diseases. Eric Sun, another CEA economist, had also written with Philipson about the FDA and its problems. Casey Mulligan was another CEA chief economist who understand the danger of pandemics and was influenced by Sam Peltzman on the costs of FDA delay. So the CEA was well prepared for the pandemic and I suspect they gave Trump very good advice on starting Operation Warp Speed.
In short, someone deserves credit for a multi-trillion-dollar saving government program! More importantly, we know a lot about CDC and FDA failure but in order to know what we should build upon we also need to know what worked. OWS worked. We need a history of how and why.
I have been highly critical of the FDA but in Australia the FDA is almost a model to be emulated. Steven Hamilton and Richard Holden do not mince words:
At the end of 2020, as vaccines were rolling out en masse in the Northern Hemisphere, the TGA [Therapeutic Goods Administration, AT] flatly refused to issue the emergency authorisations other regulators did. As a result, the TGA didn’t approve the Pfizer vaccine until January 25, more than six weeks after the US Food and Drug Administration (FDA), itself not exactly the poster child of expeditiousness.
Similarly, the TGA didn’t approve the AstraZeneca vaccine until February 16, almost seven weeks after the UK.
In case you’re wondering “what difference does six weeks make?“, think again. Were our rollout six weeks faster, the current Sydney outbreak would likely never have exploded, saving many lives and livelihoods. In the face of an exponentially spreading virus that has become twice as infectious, six weeks is an eternity. And, indeed, nothing has changed. The TGA approved the Moderna vaccine this week, eight months after the FDA.
It approved looser cold storage requirements for the Pfizer vaccine, which would allow the vaccine to be more widely distributed and reduce wastage, on April 8, six weeks after the FDA. And it approved the Pfizer vaccine for use by 12 to 15-year-olds on July 23, more than 10 weeks after the FDA.
And then there’s the TGA’s staggering decision not to approve in-home rapid tests over reliability concerns despite their widespread approval and use overseas.
Where’s the approval of the mix-and-match vaccine regimen, used to great effect in Canada, where AstraZeneca is combined with Pfizer to expand supply and increase efficacy? Where’s the guidance for those who’ve received two doses of AstraZeneca that they’ll be able to receive a Pfizer booster later?
In the aftermath of the pandemic, when almost all of us should be fully vaccinated,there will be ample opportunity to figure out exactly who is to blame for what.
But the slow, insular, and excessively cautious advice of our medical regulatory complex, which comprehensively failed to grasp the massive consequences of delay and inaction, must be right at the top of that list.
You might be tempted to argued that the TGA can afford to take its time since COVID hasn’t been as bad in Australia as in the United States but that would be to ignore the costs of the Australian lockdown.
Article 13 of the Universal Declaration of Human Rights states that
- Everyone has the right to freedom of movement and residence within the borders of each state.
- Everyone has the right to leave any country, including his own, and to return to his country.
Australia has now violated each and every clause of this universal human right and seemingly without much debate or objection. It is deeply troubling to see people prevented from leaving or entering their own country and soldiers in the street making sure people do not travel beyond a perimeter surrounding their homes. The costs of lockdown are very high and thus so is any delay in ending these unprecedented infringements on liberty.