Spillover: Animal Infections and the Next Human Pandemic

David Quammen

A masterpiece of science reporting that tracks the animal origins of emerging human diseases, Spillover is “fascinating and terrifying … a real-life thriller with an outcome that affects us all” (Elizabeth Kolbert, author of The Sixth Extinction). In 2020, the novel coronavirus gripped the world in a global pandemic and led to the death of hundreds of thousands. The source of the previously unknown virus? Bats. This phenomenon—in which a new pathogen comes to humans from wildlife—is known as spillover, and it may not be long before it happens again. Prior to the emergence of our latest health crisis, renowned science writer David Quammen was traveling the globe to better understand spillover’s devastating potential. For five years he followed scientists to a rooftop in Bangladesh, a forest in the Congo, a Chinese rat farm, and a suburban woodland in New York, and through high-biosecurity laboratories. He interviewed survivors and gathered stories of the dead. He found surprises in the latest research, alarm among public health officials, and deep concern in the eyes of researchers. Spillover delivers the science, the history, the mystery, and the human anguish of disease outbreaks as gripping drama. And it asks questions more urgent now than ever before: From what innocent creature, in what remote landscape, will the Next Big One emerge?

ScienceScience · high confidenceScience81 signalsLlm Classifier: Science -> ScienceGoogle Books: Science -> ScienceKeyword Classifier: Arts & Criticism -> Arts & CriticismDisease, Epidemics & DrugsPublic Health SystemsMedicine, Health & the Body
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Bangladesh46%
    • the Congo44%
    • New York38%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

    This suggestion did not meet the normal display threshold and is more likely to be wrong.

    Emerging human diseases can originate from wildlife via spillover, and this risk may recur, making future spillover-driven pandemics likely.

    Model confidence 58%

  4. 04 Reading orientation

    42 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 71%.