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The Flu & ‘Negligent Homicide’

2004· article· en· W2316643624 on OpenAlexaboutno aff
Joseph V. Simone

Bibliographic record

VenueOncology Times · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicHomicideVirologyTransmission (telecommunications)MedicineFamily medicineHistoryCriminologyDiseaseCoronavirus disease 2019 (COVID-19)SociologyMedical emergencyInfectious disease (medical specialty)Suicide preventionPoison controlPathology

Abstract

fetched live from OpenAlex

Dr. Robert Webster and I both joined St. Jude Children's Research Hospital right out of training at about the same time over 35 years ago. Rob is a PhD virologist who is internationally recognized for his laboratory and field work in influenza and SARS, serving as an advisor to governments around the world, particularly in Asia. But I know Rob best as a good friend and colleague. He had the most exotic career of any of us at St. Jude, traveling the world to obtain fecal and blood samples from ducks, chickens, and pigs, and culturing and typing the viruses, particularly influenza-type viruses. He studies the evolution of the viral immune phenotypes in an attempt to understand (and predict) the leap of such viruses from animals to humans. He would return from these excursions and give engrossing lectures that were scientific detective stories about the genetic shifts in the viruses and which of them might be dangerous. He would remind us of the history of influenza epidemics and pandemics, like the deadly one of 1918 that killed far more American soldiers than the World War. I had dinner with Rob recently and we talked about our families and what we were doing. When I told him I wrote a column he said he hoped I would write about a terrible problem that results in the unnecessary deaths of cancer and transplant patients and the elderly. The problem is the transmission of influenza virus from health care workers to patients, particularly those who are immunosuppressed; they are most unable to fight the infection and, even worse, when infected, continue to shed the virus and infect others until they die. Real-Life Examples He related several vignettes to make his point: ▪ The province of Ontario, Canada, had such a bad outbreak in geriatric facilities of influenza passed from health care workers that resulted in fatalities that they made a strict new policy: Any health care worker who fails to be immunized for influenza and contracts the disease is suspended from work without pay until he or she is no longer infectious. As a result, the rate of infection of patients plummeted. ▪ The SARS epidemic in Hong Kong was widely promulgated largely by health care workers from the index case, an ill physician from the mainland. ▪ SARS is easier to contain than influenza. It is not as contagious and the patient does not begin to shed infectious virus until about the eighth day of illness, so quarantine is an effective means of control. Influenza is highly contagious and the virus is shed by the second or third day of illness, so quarantine is not usually an effective way to control spread. Influenza, as we all know, may present as an apparently simple upper respiratory infection. I can recall Rob swabbing the throats of anyone at St. Jude who complained of a cold to look for the virus. We were a small place then, and the basic scientists, physicians, nurses, and other staff ate together and crossed paths often during the day. We were often surprised when he told one of us we had influenza because we didn't feel very sick. (He also had a scientific reason for accosting us in the hallway, too; he wanted to know the phenotype of the viruses that appeared in Memphis as an epidemiological tool when connected with information from his worldwide network of colleagues.) This was a very important lesson to all of us: our apparent “winter cold” could kill our patients. Get Immunized! So what is Rob's advice to us who care for patients? First, get immunized. He feels strongly that all health care workers should be vaccinated because of the risk of passing the virus to so many vulnerable patients.Figure: Joseph V. Simone, MD, is Clinical Director Emeritus of Huntsman Cancer Institute, Professor Emeritus of Pediatrics and Medicine at the University of Utah, President of his own consulting company (www.SimoneConsulting.com), and Chairman of the Institute of Medicine's National Cancer Policy Board. He was previously Physician-in-Chief of Memorial Sloan-Kettering Cancer Center and Director of St. Jude Children's Research Hospital, and has served as Medical Director and Chairman of the National Comprehensive Cancer Network and as a member of the NCI's Board of Scientific Advisors. Dr. Simone welcomes comments about this column, as well as suggestions for future topics. E-mail him at [email protected]A few days before writing this, we heard the news that a major supplier of influenza vaccine had contaminated a large portion of its supply so there would be a significant shortage of vaccine this year. Rob believes that health care workers, particularly those who care for the elderly or the immunosuppressed, should be given the vaccine preferentially in the face of the shortage. What to do if one contracts influenza? Rob says there are two antivirals that can be effective: ▪ Rimantadine, preferentially used in Canada, is relatively inexpensive, though resistance tends to develop rapidly, which makes it less successful for infected families. ▪ Tamiflu is one of the neuraminidase inhibitors. (Hemagglutinin and neuraminidase provide the two principal antigens of the viruses that provide their identities—for example, H5N1 is the strain of avian influenza now threatening Southeast Asia.) Tamiflu is more expensive than rimantadine but is very effective, creates less resistance, and if given early enough can stop the spread of the virus. So as a favor to my old friend, Rob Webster, and much more important, as a favor to our cancer and transplant patients, get immunized and wash your hands often. And be especially alert to the possibility that your upper respiratory infection this fall and winter could be due to influenza virus. Don't be guilty of negligent homicide.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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