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Record W7001183113

International Aviation Law and Pandemic

2021· article· en· W7001183113 on OpenAlexaboutno aff

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsAir travelPandemicInternational lawAviationInternational airportAir transportTransmission (telecommunications)Coronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Communicable disease
DOInot available

Abstract

fetched live from OpenAlex

Commercial airplanes are vectors of infectious disease, advancing, if not sparking, global epidemics and potentially pandemics by exporting pathogens from endemic areas of the world to non-endemic places. For example, according to the global scientific community, the Zika virus was introduced to the Americas by air travel. Researchers also believe that infected mosquitos on international flights contributed to the worldwide spread of malaria, Middle East Respiratory Syndrome, and the West Nile virus. Most recently, governmental authorities worldwide, in addition to issuing national or local shelter-in-place orders, closed their borders and grounded nearly all international air travel on account of the COVID-19 virus. Such state action raises interesting questions at the intersection of health care and mobility. The severity of recent world events and their specific relationship to international airline travel has generated substantial (albeit inconclusive) scientific literature about passenger-to-passenger and crew-to-passenger viral transmission in commercial aviation. However, analysis of the corresponding legal risks for air carriers, if any, associated with the transmission of infectious disease aboard aircraft are surprisingly understudied. This Article examines whether air carriers are or should be liable under international law to passengers who contract infectious diseases aboard their aircraft. For example, in addition to the obvious scenario of a passenger contracting an illness from the air cabin environment, several other claims related to the transmission of communicable diseases like COVID-19 are plausible in this regard. Passengers could conceivably sue an air carrier for failing to take certain precautions, such as warning passengers of the risk of contracting a disease. Alternatively, an air carrier’s alleged failure to pre-screen or deny boarding to passengers who exhibit symptoms of ill health may give rise to a lawsuit. Not having or employing contract tracing protocols to notify passengers of potential exposure might also support lawsuits against air carriers. Operational failures of high-efficiency particulate absorbing (HEPA) filters, for instance, also theoretically may expose air carriers to liability, as may the failure of an air carrier to comply with relevant international health regulations and guidance documents. Finally, passenger–plaintiffs might succeed in convincing courts to award money damages where the actions—or inactions—of an air carrier fail to safeguard the hygiene of aircraft cabins effectively. The language, objectives, and drafting history of the Warsaw Convention of 1929 and Montreal Convention of 1999 (Conventions) appear to broadly support a finding of liability against an air carrier for the transmission of infectious disease in certain circumstances. Still, the adjudication of claims under the Conventions likely will produce highly variable textual interpretations unmoored to any controlling legal precedent—in contravention of the international aviation community’s goal of uniformity. As such, this Article posits that even if the language, policy, and existing case law related to the Conventions arguably support a finding of liability, administrative and policy reasons mitigate in favor of exonerating air carriers from claims seeking damages arising from the transference of communicable diseases aboard aircraft in the international carriage. In all, this Article’s relevance is greatest for aviation practitioners and courts adjudicating claims under the Conventions in the context of COVID-19 or future global health care crises involving international aviation. That said, this Article may also hold interest for a broader audience seeking to understand legal and policy problems confronting global firms under private international law in post- and (perhaps) future-pandemic periods.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.293
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2021
Admission routes1
Has abstractyes

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