MétaCan
Menu
Back to cohort
Record W2111044085 · doi:10.1093/cid/cir945

Hepatitis A Epidemiology Goes Global

2012· letter· en· W2111044085 on OpenAlexaboutno aff
Scott D. Holmberg

Bibliographic record

VenueClinical Infectious Diseases · 2012
Typeletter
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsMedicineEpidemiologyVirologyHepatitisHepatitis AHepatitis CEnvironmental healthFamily medicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

It may not be appreciated that a hepatitis A virus (HAV) outbreak investigation in several states in Australia, as described in this issue of Clinical Infectious Diseases [1], was viewed with intense interest on the other side of the world. In fact, it is considered a harbinger of hepatitis A investigations to come. This seemingly straightforward investigation—with molecular epidemiologic techniques now almost standard in any outbreak examination—may nonetheless be considered a landmark. The world is ‘‘flatter’’ and food and food products produced in one country (along with the pathogens they may carry) can be exported almost anywhere. We observed this in the United States when HAV infections in several states were acquired from green onions imported from northern Mexico [2, 3]. Although somewhat downplayed in the Donnan et al [1] article, molecular epidemiology from their investigation showed that samples from affected persons in both the Netherlands and Australia had sequence identity, and standard ‘‘shoe-leather’’ epidemiology showed large odds ratios for persons in both countries who had consumed semidried tomatoes from Turkey. These semidried tomatoes are different from the sun-dried tomatoes common in US supermarkets and are often used by restaurants and in commercial food production to make pizza, sauces, and similar items. The Australian investigation showed that, indeed, those who ate not only semidried tomatoes but also those who ate tomato-based foods in restaurants were at substantially greater risk of HAV infection. In this country, there has been an abiding concern that imported food items potentially contaminated with hepatitis A can and do enter this country frequently. With funding from the Center for Disease Control and Prevention (CDC) Food Safety Initiative, several state and city health departments interview and collect serum from persons with acute hepatitis A. The specimens are then processed at CDC’s Division of Viral Hepatitis Laboratory, where recent marked improvements in sequencing of the HAV genome (and other types of viral hepatitis genomes) have made such work easier and faster than ever. CDC now holds a ‘‘library’’ of partial and complete gene sequences of the HAV genome, which include .3000 domestic specimens and .2000 specimens from other countries (although some are duplicate sequences from outbreak investigations). As new specimens are sent to CDC, they are sequenced and compared with extant sequences held in the library to gain insight into origins and transmission patterns. In the outbreak described here, the Netherlands shared their gene sequences with CDC, other domestic samples of HAV genotype IB were examined, and a seeming possibly related ‘‘cluster’’ was found in Brooklyn, New York. Subsequent investigation by the NY City Health Department and CDC showed that these were mainly among Koreans who lived distant from one another and did not share markets or restaurants. About half had apparently acquired HAV infection during travel to Korea. Subsequent investigations this year and last of potential international outbreaks with US cases that were linked to cases or clusters in Mexico and Canada have likewise not established linkage. Still, the principle has been established: advances in molecular laboratory diagnostics and computer-based analytic applications have revolutionized HAV epidemiology. The outbreak described by Donnan and colleagues uncovered cases on 2 continents, and we should expect some future ones to involve the Americas as well. Where is US hepatitis A epidemiology currently? Only a little more than a decade ago, rates of infection were much higher as outbreaks in children, in whom the disease causes no or few symptoms, spread infections to susceptible older children and adults through fecal-oral means [4, 5]. Hepatitis A vaccination of infants and Received 7 November 2011; accepted 17 November 2011. Correspondence: Scott D. Holmberg, MD, MPH, Division of Viral Hepatitis, Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop G-37, Atlanta, GA 30333 (sdh1@cdc.gov). Clinical Infectious Diseases Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2012. DOI: 10.1093/cid/cir945

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)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.139
GPT teacher head0.443
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations11
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueClinical Infectious DiseasesSame topicHepatitis Viruses Studies and EpidemiologyFrench-language works237,207