What is *Uncontrolled Spread* by Scott Gottlieb about?

*Uncontrolled Spread* analyzes systemic U.S. failures during COVID-19, including inadequate pandemic preparedness, flawed testing strategies, and bureaucratic breakdowns. Former FDA Commissioner Scott Gottlieb offers solutions like improved disease surveillance and global health integration into national security frameworks, drawing on insider accounts of government missteps.

Who should read *Uncontrolled Spread*?

Public health professionals, policymakers, and readers interested in pandemic preparedness will find this book essential. It’s also valuable for those seeking insights into U.S. institutional weaknesses and strategies to combat future outbreaks.

Is *Uncontrolled Spread* worth reading?

Yes. Gottlieb’s blend of policy expertise, firsthand experience, and detailed pandemic chronology provides a sobering yet actionable critique of America’s COVID-19 response. The book is praised for its depth and relevance to future public health crises.

What are the main arguments in *Uncontrolled Spread*?

Gottlieb argues the U.S. underestimated asymptomatic spread, relied on ineffective containment measures, and suffered from fragmented leadership. He highlights the CDC’s outdated protocols and the need to modernize disease-tracking systems.

What lessons does *Uncontrolled Spread* offer for future pandemics?

Key lessons include decentralizing disease surveillance, accelerating diagnostic testing, and integrating real-time data sharing across agencies. Gottlieb emphasizes treating pandemics as national security threats to prioritize resource allocation.

How does *Uncontrolled Spread* address China’s role in COVID-19?

The book criticizes China’s early suppression of viral data and refusal to share initial SARS-CoV-2 strains, which hindered global containment efforts. Gottlieb warns against over-reliance on foreign governments for timely outbreak intelligence.

What government failures does Gottlieb highlight?

He identifies poor coordination between federal agencies, politicization of public health guidance, and underfunded emergency stockpiles. The FDA’s slow emergency use authorizations and CDC’s rigid protocols exacerbated delays.

Why does Gottlieb link public health to national security?

He argues that pandemics destabilize economies and societies like traditional threats. The book proposes embedding epidemiologists in intelligence agencies and creating a dedicated health security budget to preempt outbreaks.

パンデミック・アイ：見えざる敵の正体と、次の危機への教訓

なぜ新型コロナウイルス（COVID-19）は我々に甚大な被害をもたらしたのか、そして次のパンデミックをいかにして打ち倒すべきか

スコット・ゴットリーブ

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の概要

元FDA（食品医薬品局）局長のスコット・ゴットリーブが、アメリカの新型コロナウイルス対応における失敗を、内部関係者としての視点から生々しく描き出します。CNNのサンジャイ・グプタ博士が「真の知恵が散りばめられている」と称賛したこのニューヨーク・タイムズ紙のベストセラーは、なぜ我々の公衆衛生インフラが崩壊したのか、そして次の大惨事をどう防ぐべきかを明らかにします。

語り方を選ぶ

1冊の本。さまざまな聴き方。

パンデミック・アイ：見えざる敵の正体と、次の危機への教訓の同じアイデアを、あなたに合う声・深さ・ペースで学べます。いつでも切り替えられます。

第1章

When Preparedness Meets a Pandemic: America's COVID-19 Reckoning

In September 2020, a seemingly routine White House event to nominate Amy Coney Barrett to the Supreme Court became a superspreader event that infected over thirty people, including President Trump himself. Despite rigorous testing protocols requiring negative results before entry, the virus found its way in, exposing the fundamental flaw in America's pandemic response: overreliance on testing without comprehensive mitigation strategies. This microcosm of failure mirrored the larger national response to COVID-19, which former FDA Commissioner Scott Gottlieb meticulously dissects in "Uncontrolled Spread." The book has become required reading in public health circles and policy schools nationwide, with Bill Gates naming it one of his top five books of 2021. Gottlieb's insider perspective as both a former FDA Commissioner and Pfizer board member during vaccine development provides a uniquely authoritative account of what went wrong and why America, despite being ranked the best-prepared nation for a pandemic, suffered one of the world's worst outcomes.

第2章

Early Warnings and Missed Opportunities

By January 2020, alarm bells were ringing for those paying attention. When I messaged White House Domestic Policy Council head Joe Grogan about the mysterious pneumonia spreading in Wuhan, I was already deeply concerned. Having worked at the FDA during the 2003 SARS outbreak, I recognized the telltale signs of Chinese information suppression. While Chinese officials initially reported just a dozen cases, the count quadrupled overnight to 198 patients by mid-January. The velocity of spread was alarming, especially since some cases had no connection to the market allegedly identified as the source. Despite China's assurances that human-to-human transmission wasn't occurring, evidence suggested otherwise. Videos showing medics in hazmat suits screening passengers on flights from Wuhan indicated Chinese officials were already concerned about person-to-person spread. By January 20, Chinese pulmonologist Dr. Zhong Nanshan finally confirmed the obvious-the disease was spreading between people, including to fifteen healthcare workers in Wuhan. China's implementation of a full lockdown on Wuhan on January 23 revealed the gravity of the crisis. This draconian step strengthened arguments within the White House for travel restrictions on people from China, which were announced on February 2. However, what America truly needed wasn't travel bans but diagnostic testing capacity, medical supplies, vaccine development, healthcare system reinforcement, nursing home protection, and expanded local health department capacity for tracking and isolation. By late January, I was publicly warning through multiple opinion pieces that without widespread testing capability, we couldn't contain the spread-a lesson we should have learned from the Zika outbreak. Testing would become our most visible failure, revealing our system's inability to rapidly scale production of critical supplies during a crisis.

聴きながら、すべての言葉を目で追えます

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の一語一語が音声に合わせてリアルタイムでハイライトされ、自然に読み進められます。

第3章

China's Information Blockade

China's refusal to share critical information severely hampered global preparation efforts in the crucial early stages of the pandemic. Despite repeated requests from Secretary Azar and other international health officials, China refused to share viral isolates from patients even a year into the pandemic, making it impossible to determine the virus's origin with scientific certainty. This refusal not only broke with long-standing international scientific practices but followed a concerning precedent set in 2018 when China declined to share H7N9 bird flu samples, despite being legally bound by international agreements to do so. The US government first learned about the outbreak on December 30 through indirect channels - monitoring local Chinese media and a crucial notification from Taiwan's health authorities - rather than through official Chinese governmental channels. Subsequent evidence revealed that Hubei Province had been grappling with an alarming and unusual surge in "flu" cases beginning December 2, with twenty times the normal number of cases, strongly suggesting these were early unidentified COVID-19 cases. When WHO investigators later requested access to stored blood samples from this critical period, Chinese officials denied access, citing patient privacy concerns - a justification that many international experts found questionable given standard anonymization protocols. Chinese officials' handling of COVID-19 bore striking similarities to their response to the SARS outbreak in 2002-2003, when they initially misidentified the pathogen as a bacterium rather than a virus and only disclosed the full scope of the outbreak after Canadian researchers independently sequenced the pathogen. The lack of access to COVID-19 samples created significant obstacles for other nations attempting to develop accurate diagnostics, effective therapeutic drugs, and vaccines. Medical workers found themselves particularly vulnerable, especially those working in peripheral departments who remained unaware of the virus's true risks due to information suppression. While individual Chinese scientists and physicians made heroic efforts to share information with international colleagues, often at great personal risk, coordinated government disclosure came disappointingly late. The death of ophthalmologist Li Wenliang on February 7 - who had been threatened by police for discussing the outbreak on social media - became a powerful symbol of the costs of information suppression and sparked widespread global criticism. However, even this tragedy failed to improve China's transparency. Behind the scenes, Chinese officials actively worked to prevent the WHO from declaring a Public Health Emergency of International Concern (PHEIC), though these efforts ultimately proved unsuccessful when the declaration was made on January 30. The information blockade extended beyond just medical data - Chinese authorities also restricted access for foreign journalists and researchers, controlled social media discussions about the outbreak, and initially downplayed the possibility of human-to-human transmission. Internal documents later revealed that provincial officials had received instructions to destroy samples and withhold data that might indicate the true scale of the emerging crisis.

第4章

The Pandemic We Refused to See

As COVID-19 made its way to American shores, officials struggled with limited testing capabilities and an incomplete understanding of the threat's magnitude. On January 19, a 35-year-old man who had recently returned from visiting family in Wuhan sought medical care in Snohomish County, Washington. After testing negative for flu, his travel history triggered immediate concern. His case was reported to the CDC's Emergency Operations Center-the only place in America capable of testing for the novel coronavirus at that time. When confirmed positive on January 20, he was transported to a special biocontainment ward originally built for Ebola patients, becoming America's first known COVID case. Fifty close contacts were quarantined but none developed infections, temporarily suggesting successful containment. This created a false sense of security that the virus could be contained through targeted measures. Meanwhile, in Washington DC, White House officials harbored growing concerns about containment prospects. National Security Adviser Robert O'Brien warned President Trump on January 28 that this would be "the biggest national security threat you face in your presidency." Matthew Pottinger, O'Brien's deputy who had reported on the 2003 SARS outbreak as a journalist in China, was receiving alarming firsthand accounts contradicting official narratives from Beijing and WHO. His Chinese doctor contacts revealed community spread across multiple provinces, with one estimating half of Wuhan cases were asymptomatic. The true extent of spread became apparent on February 28 when a second Seattle case emerged with no connection to the first. Using genetic sequencing, Dr. Trevor Bedford of Fred Hutchinson Cancer Research Center determined the viral strains differed by only two small mutations, suggesting the virus had been circulating undetected for six weeks. This pioneering use of "genetic epidemiology" indicated hundreds might already be infected in Washington State, revealing a substantial undetected outbreak. Dr. Helen Chu, an infectious disease specialist at the University of Washington, had been collecting nasal swabs from Seattle residents with flu symptoms since January as part of the Seattle Flu Study. When they finally received permission on March 4 to test their January and February samples, they found SARS-CoV-2 in 1.1 percent of specimens-a shocking number given official claims that coronavirus wasn't yet in communities. The virus was already spreading widely in Seattle while HHS officials assured the White House there was no community transmission.

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

毎日の新しい気づきを10万件以上のレッスンから
言葉をハイライトして音声と同期
ライブラリを保存して、どの端末からでも利用

第5章

The CDC's Testing Catastrophe

The CDC's pandemic playbook placed it at the center of all response efforts-first to access viral samples, first to design tests, first to screen samples nationally, and first to develop test kits for state public health labs. Commercial manufacturers were expected to wait their turn in this sequential process. The CDC designed its COVID test in just seven days after China published the genetic sequence on January 11, and confirmed the first U.S. case in Seattle on January 19. While other countries like Thailand, South Korea, and Taiwan quickly fielded their own tests, and the WHO endorsed a German-designed test by mid-January, the CDC insisted on using its own design, claiming the European test might fail to detect viral mutations. Though the CDC posted its test blueprint on January 24, it declared that only the CDC could conduct testing, treating SARS-CoV-2 as a special pathogen requiring exclusive control. When the CDC's test kits finally shipped, they didn't work, leaving the entire country dependent on a single CDC lab for all testing. The problems started early-after quality checks on February 3 showed issues with the N3 reagent and a February 6 check revealed the test failed 33% of the time, the CDC inexplicably shipped the kits to labs in thirty-three states anyway. When public health labs received the kits, 24 of the first 26 labs couldn't get them to work, with sterile water incorrectly testing positive for coronavirus. Despite Scott Becker of the Association of Public Health Laboratories requesting permission to use the test without the problematic N3 component on February 9, the CDC insisted on manufacturing new batches of the component rather than simply removing it. By mid-February, it became clear that contamination at the CDC's manufacturing site had affected multiple test components, revealing the agency's lack of manufacturing expertise and quality control systems. The CDC's insistence on manufacturing its own test kits rather than contracting with commercial manufacturers from the outset proved disastrous. By February 16, with both N1 and N3 components showing contamination, the CDC considered either changing test sensitivity thresholds or dropping the N3 component entirely. Despite the FDA's growing urgency and preference for dropping N3, the CDC repeatedly delayed making a decision. Finally, on February 26, the CDC agreed to let labs use just N1 and N2 components, but by then many labs had already destroyed their kits. The CDC's test failure stemmed from contamination of its reagents with coronavirus RNA. Both the N3 and N1 components were contaminated when someone likely carried genomic material from a "dirty" room into the clean manufacturing area. This meant the test was detecting its own contamination rather than actual COVID-19 cases. The agency violated basic lab practices by producing synthetic SARS-CoV-2 RNA in the same facility where test kits were assembled-a risk they took to save just ten days, but which ultimately cost six critical weeks.

第6章

Looking for the Virus in All the Wrong Places

Without diagnostics, officials relied on the CDC's Influenza Like Illness surveillance system (ILI)-a network of labs reporting respiratory specimen data. This system was fundamentally unsuited for detecting COVID because it was backward-looking, insensitive to small outbreaks, relied on delayed Medicare claims data, and couldn't detect asymptomatic spread. With 50,000 non-flu respiratory samples weekly during flu season, early COVID cases easily hid within normal variation. The CDC's approach to information resembles academic epidemiology rather than crisis management. During COVID, the CDC's thorough but delayed analyses in their Morbidity and Mortality Weekly Report often came months after critical decisions had to be made by patients, providers, and policymakers. This reflected not a lack of competence but the agency's institutional style, structure, and culture that prioritized definitive analysis over timely, if imperfect, guidance. The information desert extended to clinical practice, with no reliable system tracking American doctors' treatment approaches and patient outcomes. The best clinical data came from Italy and China, which did a superior job collecting and sharing timely information. The CDC relied heavily on death certificate data, which typically lagged by one to two months, while European countries extracted near real-time insights from electronic health records to guide clinical decisions. Critical epidemiological data was lacking, preventing targeted mitigation. The CDC's guidance on quarantine periods and distancing requirements seemed arbitrary without transparency about their limited scientific foundation. Without reliable data collection systems, policymakers defaulted to influenza-based approaches that often didn't apply to COVID. The CDC's approach to genomic surveillance was woefully inadequate. Despite Deborah Birx's spring 2020 request to establish contracts with outside labs for widespread sequencing, the CDC insisted on keeping this work in-house, limiting capacity to hundreds rather than thousands of samples monthly. While the UK sequenced 10-60% of patient samples, the US managed just 0.3%, ranking 43rd globally in sequencing percentage.

聴きながら、すべての言葉を目で追えます

第7章

Preparing for the Wrong Pandemic

The modern application of mitigation approaches was first developed in 2005 to counter the threat of H5N1 bird flu. This deadly virus had claimed over 50% of its victims and found reservoirs in migratory waterfowl. The 2005 plan viewed NPIs as temporary measures to slow spread until vaccines or antivirals could be developed. Unlike general pandemic planning, this approach targeted a specific threat-H5N1-though the measures could be adjusted based on severity. Based on historical analysis of the 1918 Spanish flu pandemic, researchers formulated a "targeted layered containment" approach combining multiple tactics. This began with case-focused interventions like isolation and quarantine, supplemented by social distancing measures including school closures, workplace modifications, and canceling mass gatherings. Their research showed these measures wouldn't prevent most infections but could "flatten the curve" to prevent healthcare systems from being overwhelmed. By February 2020, HHS Secretary Azar presented the White House with a "doctrine" for addressing COVID-19 based on pandemic planning and lessons from the 2019 "Crimson Contagion" exercise. This simulation had revealed concerning gaps: federal agencies fighting over leadership, shortages of protective equipment, and states refusing CDC directives. Azar's plan shifted significant responsibility to states, giving them latitude to develop different strategies while maintaining mitigation as a core principle. Our mitigation measures, designed for pandemic flu, proved remarkably effective against influenza while failing to contain COVID. The Southern Hemisphere saw flu cases plummet-Argentina recorded just 53 cases in 2020 compared to 4,623 in 2019, Chile dropped from 5,000 to 12, and South Africa from 1,094 to 6. By January 2021, the CDC had recorded only 1,316 positive flu cases compared to nearly 130,000 the previous year. The stark difference highlighted how COVID's transmission patterns fundamentally differed from influenza's. While flu typically spreads from one person to two or three others after symptoms appear, COVID spread far more broadly through superspreading events and asymptomatic transmission. These superspreader incidents-like the Biogen conference that led to 300,000 downstream infections or a single choir practice that infected 53 of 61 attendees-demonstrated COVID's capacity for explosive aerosol transmission in indoor settings.

第8章

South Korea's Success vs. America's Failure

South Korea's preparation for pandemic threats proved prescient. In December 2019, just before COVID-19 emerged, they conducted a tabletop exercise simulating a family returning from China with a mysterious respiratory disease that began spreading. This drill, implemented after their 2015 MERS experience, enabled rapid development of testing methodology when COVID became reality a month later. Unlike the US, South Korea was well-prepared for COVID-19. Both countries identified their first cases in mid-January, but South Korea rapidly deployed widespread testing, identified clusters, and flattened their curve without strict shutdowns. They never ran short of testing supplies or protective equipment, having stockpiled materials for years. Their first wave peaked at 851 daily cases on March 3, then declined quickly. Just one week after identifying their first COVID case, South Korean officials convened 20 diagnostics companies at Seoul's main train station, asking them to develop tests immediately. Their FDA had established a fast-track approval process after MERS. Two manufacturers were already developing tests, with Kogene Biotech receiving clearance just four days after the meeting, followed by Seegene Technologies a week later. The government guaranteed reimbursement, reducing financial risk, and provided manufacturers with viral samples and standardized assays for validation. South Korea pioneered drive-through testing centers after Dr. Kim Jin-yong recognized that indoor testing sites required 30-minute ventilation periods between patients. The first drive-through center opened February 23 at Kyungpook National University's Chilgok Hospital, processing up to six patients hourly versus just two at indoor sites. By April 1, about 80 drive-through sites operated nationwide, strategically located away from hospitals to prevent healthcare facilities from becoming infection hubs as happened in Italy. By early March, America faced a critical choice between following South Korea's successful containment path or Italy's spiraling epidemic. Unfortunately, we ended up following Italy's trajectory rather than South Korea's more successful model.

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

毎日の新しい気づきを10万件以上のレッスンから
言葉をハイライトして音声と同期
ライブラリを保存して、どの端末からでも利用

第9章

Operation Warp Speed: A Rare Success Story

As soon as Chinese researchers posted the first genetic sequence of the novel coronavirus on January 10, 2020, labs across the US and Europe began developing vaccines. COVID arrived precisely when science had advanced to permit fully synthetic vaccines created from viral sequence data alone-without requiring actual virus samples. This technological breakthrough allowed vaccine design to begin as essentially a computational exercise, though it also exposed gaps in production and distribution capacity needed to quickly protect global populations. In the early 1990s, scientists wondered if they could use genomic information to make vaccines directly from viral sequences. Initial efforts using DNA plasmids worked in animals but failed in humans as immune cells destroyed the genetic material too quickly. Researchers turned to messenger RNA (mRNA), which serves as a courier between DNA and cellular protein-making machinery. mRNA offered advantages: cells could more readily absorb it through endocytosis, its smaller size reduced immune destruction, and manufacturing required no animal or cellular components-just a chemical process. I witnessed Pfizer's vaccine development from inside the boardroom. BioNTech's vaccine design proved remarkably effective by using the full-length spike protein, which generated antibodies against multiple regions rather than just one specific area. This approach fortuitously provided protection even as the virus mutated. Pfizer began pivotal trials on July 27, and on November 8, CEO Albert Bourla shared the stunning results with the board: the vaccine was over 90% effective at preventing COVID symptoms. It was an emotional moment-COVID was now a preventable disease. Pfizer filed for emergency authorization on November 20, just 248 days after starting development-the fastest vaccine development in history. The company committed over $2 billion to the project, purchasing specialized mRNA manufacturing equipment at $200 million per unit before knowing if the vaccine would work. Unlike other companies, Pfizer declined federal development funding to avoid bureaucratic constraints that might slow their progress.

第10章

Pandemic as National Security: A New Doctrine

In April 2000, the Clinton administration made the unprecedented move of designating HIV/AIDS a national security risk-the first time a naturally occurring infectious disease received such classification. The declaration marked a pivotal shift in how we view public health threats in relation to national defense. Intelligence estimates had concluded that HIV's spread through Eastern Europe wasn't just a humanitarian crisis but a geopolitical threat with potential to destabilize regions and trigger conflicts requiring American intervention. We've oscillated between viewing public health through a national security lens and treating it as separate. The CDC's Epidemic Intelligence Service was deliberately named in 1952 to position the agency as a security asset, but this orientation eroded starting in the 1960s. During COVID, the Pentagon initially resisted reprogramming biodefense resources against a naturally occurring virus, leaving no agency fully owning homeland protection from these threats. Our commitment to pandemic preparedness as a security priority has fluctuated dangerously across administrations. The National Security Council's biodefense function has been repeatedly established, disbanded, and reinstated-most recently eliminated in 2018 shortly before COVID struck. This volatility reflects our ambivalence toward treating naturally occurring biological threats as security concerns. If we aim not just to mitigate but to prevent the next pandemic entirely, we must integrate our public health response with our national security apparatus and intelligence capabilities. America's dismal experience with COVID leaves us little choice but to expand our information-gathering tools. Our goal shouldn't be merely to blunt future impacts, but to ensure a calamity on COVID's scale never happens again by involving our instruments of national security. The COVID pandemic marked the first large-scale use of genomic sequencing to track viral evolution and spread. While it's difficult to deduce behavior from sequence alone, key insights can be inferred-like SARS-CoV-2's ability to bind well to ACE2 receptors and its resemblance to SARS-1. As we expand sequence data and correlate genetic features with clinical outcomes, the predictive power of these tools will grow dramatically. Sequencing can now identify emerging threats and predict viral activity in near real-time. Harvard is developing a sentinel surveillance system to detect novel pathogens in hot zones before they evolve into pandemics. The CDC is expanding sequencing for surveillance, including through the National Wastewater Surveillance System that monitors municipal sewage as a "liquid biopsy" of community health. The COVID pandemic marked multiple historical turning points beyond just genomic advances. It revealed America's capacity to develop countermeasures at unprecedented speed-creating effective vaccines in under a year compared to the previous record of four years for mumps. Yet it simultaneously exposed catastrophic gaps in our public health infrastructure: shortages of basic supplies like masks and swabs, CDC's testing failures, and inability to efficiently distribute vaccines and therapeutics once developed. We must now view pandemic preparedness through a national security lens, leveraging intelligence agencies to gather critical information about emerging threats, as international agreements alone proved insufficient. We need greater resilience in our public health infrastructure, expanded healthcare capacity for crisis response, massive diagnostic testing capabilities, and large-scale biological manufacturing. Despite being perceived as the best-prepared nation, America suffered tremendously with over 600,000 deaths. Looking ahead, we must recognize that while COVID was devastating, the next pandemic could be worse-potentially from a novel bird flu strain like H5N1 or H7N9. We succeeded scientifically with COVID but failed on the human aspects of response, permanently altering our society. How we learn and change will determine our future vulnerability.

★★★★★

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』を最後まで読み終えました

100万人以上の学習者に愛用されています

“23日間、毎日使い続けています。今では日課の一部です。”

jayallen

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の主要テーマ

pandemic preparedness failure
public health bureaucracy
diagnostic testing crisis
geopolitical information suppression
medical supply chain

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の名言

Testing would become our most visible failure.
China's refusal to share critical information severely hampered global preparation.
Travel bans weren't what America truly needed.
The virus found its way in, exposing the fundamental flaw.
This created a false sense of security.

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の登場人物

Scott GottliebAuthor and former FDA Commissioner
Joe GroganWhite House Domestic Policy Council head
Dr. Zhong NanshanChinese pulmonologist who confirmed transmission
Secretary AzarUS health official requesting viral isolates
Li WenliangOphthalmologist who warned about the outbreak

著者について

元FDA（食品医薬品局）長官であり、ニューヨーク・タイムズ紙のベストセラー『Uncontrolled Spread: Why COVID-19 Crushed Us and How We Can Defeat the Next Pandemic』の著者であるスコット・ゴットリーブは、公衆衛生政策とパンデミックへの備えにおける第一人者です。

医師であり規制の専門家でもあるゴットリーブは、第23代FDA長官（2017年〜2019年）としての在任期間の経験を活かし、このノンフィクションの告発書の中でCOVID-19危機におけるシステム上の失敗を詳細に分析しています。彼の経歴には、アメリカン・エンタープライズ研究所のシニアフェロー、ベンチャーキャピタルであるニュー・エンタープライズ・アソシエイツのパートナー、さらにはファイザーやイルミナの取締役などが含まれます。

ゴットリーブはCNBCやCBSの『Face the Nation』に定期的に寄稿しており、自身のプラットフォームを活用してヘルスケア・イノベーションとエビデンスに基づく政策立案を提唱しています。近刊予定の著書『The Miracle Century: Making Sense of the Cell Therapy Revolution』では、医学における画期的な進歩について探求しています。

全米医学アカデミーの会員に選出されたゴットリーブの活動は、規制の最前線での経験と、グローバルな健康安全保障のための実行可能な洞察を組み合わせています。『Uncontrolled Spread』は瞬く間にベストセラーとなり、危機管理における批判的思考家としての彼の名声を確固たるものにしました。

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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

コロンビア大学卒業生がサンフランシスコで開発

LOVED BY

1,000,000+ curious minds.

4.7

avg rating

1M+ learners

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

今すぐ学習の旅を始めよう

第10章

パンデミック・アイ：見えざる敵の正体と、次の危機への教訓

概要『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の概要

1冊の本。さまざまな聴き方。

When Preparedness Meets a Pandemic: America's COVID-19 Reckoning

Early Warnings and Missed Opportunities

聴きながら、すべての言葉を目で追えます

China's Information Blockade

The Pandemic We Refused to See

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

The CDC's Testing Catastrophe

Looking for the Virus in All the Wrong Places

聴きながら、すべての言葉を目で追えます

Preparing for the Wrong Pandemic

South Korea's Success vs. America's Failure

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

Operation Warp Speed: A Rare Success Story

Pandemic as National Security: A New Doctrine

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』を最後まで読み終えました

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の主要テーマ

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の名言

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の登場人物

著者について

パンデミック・アイ：見えざる敵の正体と、次の危機への教訓の要約をダウンロード

他のユーザーのお気に入り

この本に関するよくある質問

What is Uncontrolled Spread by Scott Gottlieb about?

Who should read Uncontrolled Spread?

Is Uncontrolled Spread worth reading?

What are the main arguments in Uncontrolled Spread?

もっと見る

1,000,000+ curious minds.

1,000,000+ curious minds.

1冊の本。さまざまな聴き方。

When Preparedness Meets a Pandemic: America's COVID-19 Reckoning

Early Warnings and Missed Opportunities

聴きながら、すべての言葉を目で追えます

China's Information Blockade

The Pandemic We Refused to See

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

The CDC's Testing Catastrophe

Looking for the Virus in All the Wrong Places

聴きながら、すべての言葉を目で追えます

Preparing for the Wrong Pandemic

South Korea's Success vs. America's Failure

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』をもっと深く楽しむ

Operation Warp Speed: A Rare Success Story

Pandemic as National Security: A New Doctrine

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』を最後まで読み終えました

他のユーザーのお気に入り

もっと見る

『パンデミック・アイ：見えざる敵の正体と、次の危機への教訓』の概要