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Record W2810312503 · doi:10.5644/ama2006-124.222

A Quarter Century of Emerging Infectious Diseases – Where Have We Been and Where Are We Going?

2018· article· en· W2810312503 on OpenAlexaboutno aff
James W. Le Duc, Teresa E. Sorvillo

Bibliographic record

VenueActa Medica Academica · 2018
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessQuarter (Canadian coin)Public healthOutbreakGlobalizationPopulationInfectious disease (medical specialty)Development economicsEconomic growthGlobal healthPolitical scienceEnvironmental healthGeographyMedicineDiseaseEconomics

Abstract

fetched live from OpenAlex

A quarter century ago the landmark report from the U. S. National Academies of Sciences, Engineering, and Medicine entitled "Emerging Infections, Microbial Threats to Health in the United States" was released. This classic study captured the societal changes then underway in our rapidly growing world: The growth of the world's population and changing human behavior; the advances and globalization of technology and industry; the changes in economic development and land use; the dramatic increase in speed and frequency of international travel and commerce; the adaptation of microbes and the appearance of never before seen pathogens; and the breakdown of traditional public health measures. This societal evolution has only increased and the growing frequency of outbreaks foretold in the report has come to pass. Each new disaster has precipitated changes and adaptations in our global response to infectious diseases designed to reduce risks and avoid future outbreaks. We discuss these past events and how each led to change in an effort to mitigate future threats. We also look to the future to consider what challenges might lay ahead. CONCLUSION: Major outbreaks over the past quarter century validated the concept of emerging infectious diseases and led to improvements in global policies and national public health programs; however, there will likely always be new diseases and the threat of reemergence of diseases once thought controlled leading to a constant need for vigilance in public health preparedness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.297
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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