#106-Amesh Adalja, MD: COVID-19 vs. past pandemics, preparing for the future, & reasons for optimism

Guest
Amesh Adalja
Read time
~4 min
Uploaded
13 Apr 2020
Duration
0:44:23
Views
13.5K
OPEN ON YOUTUBE ↗

KEYPOINTS

  • 01

    This is an April 2020 snapshot

    This 40-minute conversation was recorded early in the pandemic. Amesh Adalja, an infectious-disease physician at the Johns Hopkins Center for Health Security since about 2008, works on pandemic prediction, H1N1, Ebola and bioterrorism agents. His estimates reflect what was known then, and some were later revised. Read it as expert reasoning under uncertainty, not as final numbers.

  • 02

    He knew early that it couldn't be contained

    When 41 patients in Wuhan were linked to one market, he found it worrying even before human-to-human spread or deaths had been confirmed. Once human-to-human transmission was confirmed, he expected the virus to reach the US, as H1N1 did after it surfaced in Mexico in 2009. He thought it possible the virus was in the US before 31 December 2019, which was controversial. He credits China with publishing the viral sequence very quickly, which let work on diagnostic tests and vaccines start almost immediately.

  • 03

    Comparing it with 1957, 1968 and 1918

    The 1957 and 1968 flu pandemics each killed roughly 100,000 Americans. The worst recent flu season, 2017–18, killed about 80,000, and a typical year kills 30,000–60,000. COVID deaths would come on top of flu deaths, not instead of them. A shutdown of society on this scale last happened in 1918, beyond living memory. He also stresses that pandemics hit cities very differently. H1N1 in 2009 infected about 61 million Americans and strained hospitals, but its fatality rate was lower than seasonal flu, so people took it in stride.

  • 04

    It will likely become a fifth endemic coronavirus

    Four common coronaviruses cause about 25% of colds. Adalja expected SARS-CoV-2 to join them, with intermediate severity: milder than SARS (about 10% case fatality) but harsher than the other four. Unlike SARS and MERS, it would never go away. He didn't expect full seasonality at first, since so many people were susceptible. Instead he expected successive waves that would ebb and flow as social distancing changed, until a vaccine arrived.

  • 05

    His estimate of the fatality rate

    Testing was biased towards severe cases, so the true denominator was unknown. He placed the overall fatality rate at about 0.3–0.66%, citing Imperial College's 0.66% and Germany's roughly 0.37%, and said it could drift either way as antibody surveys arrived. Risk is steeply age-dependent: perhaps around 15% for those over 80, and very low for children.

  • 06

    Early models overshot

    February models projecting 200 million US infections and 2–4 million deaths didn't account for undercounted mild cases. Adalja believed cases were undercounted by at least tenfold. Westchester County, which tested heavily after the New Rochelle outbreak, had a hospitalisation rate just under 5%, compared with the 15–20% often assumed. That changes ICU and ventilator planning dramatically.

  • 07

    In the US, public health is largely local

    Most public health powers sit with states and localities, not the CDC, NIH or HHS. Rigid early testing criteria, such as travel to China in the previous 14 days, missed spread. New York's virus came mainly from Europe.

  • 08

    Testing failures set back the response

    Adalja believes case finding and contact tracing would have been much better with early, broad diagnostic testing. Patients with symptoms overlapping colds and flu went untested. He looked forward to new rapid tests helping to define a 'new normal'.

  • 09

    Mass gatherings may drive spread

    Density and prolonged contact at stadiums and similar events make them powerful amplifiers. He expected them to be hard to hold until a vaccine arrived, while acknowledging that lockdown policy might reasonably differ between New York City and less-affected areas.

  • 10

    Masks were an early messaging problem

    Early guidance told the public not to wear masks because they wouldn't protect the wearer. N95s were in short supply and uncomfortable to wear for long periods. The guidance was shifting at the time of recording.

EXAMPLES

  • 01

    Coronaviruses we missed

    After SARS in 2003, Hong Kong University researchers identified HKU1, a coronavirus that later turned up disproportionately in hospitalised and ventilated patients in Cleveland. It had gone unnoticed because respiratory viruses are rarely tested for.

  • 02

    H1N1 bred complacency

    About 12,000 Americans died in 2009, and many concluded that the response had been an overreaction. COVID, Adalja argued, touched people personally in a way that H1N1, Ebola and Zika didn't.

  • 03

    Surges are uneven

    New York, New Orleans, Detroit and Chicago were in crisis. Other hospitals that prepared for a surge were reducing their nursing staff, and states shared ventilators. The conversation keeps the claim tied to named mechanisms, numbers, and caveats so a listener can act or ask better questions without flattening the nuance.

  • 04

    A string of warnings

    Anthrax in 2001, bird flu in 2005, H1N1 in 2009, Ebola in 2013–14 and Zika: Adalja hopes the economic shock of COVID prevents the usual cycle of panic and neglect.

OTHER RELEVANT

  • 01

    Influenza is still the bigger threat

    Adalja thinks flu is taken for granted and remains the biggest pandemic threat. Avian strains such as H7N9 have case fatality rates around 65% (in his words). If one learned to spread efficiently between humans, it would be a far worse pandemic. That comparison is partly why he sounds more optimistic than most.

  • 02

    Read pandemic numbers carefully

    Early fatality rates are skewed by who gets tested. Look for antibody and population data. The conversation keeps the claim tied to named mechanisms, numbers, and caveats so a listener can act or ask better questions without flattening the nuance.

  • 03

    Plan locally

    Hospital capacity and policy should follow local epidemiology, not just national averages. Adalja thought places nowhere near New York's density could begin relaxing some restrictions, and that elective surgery and hospital clinics already needed to reopen.

  • 04

    Make preparedness a voting issue

    Adalja hoped people would remember how disruptive this was when they vote, and would ask policymakers about their plans so that pandemic preparedness becomes a 'platform issue' rather than being forgotten within 18 months.