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Record W4293483808 · doi:10.1016/j.amsu.2022.104517

Organic strawberry- Plausible vehicle of the hepatitis A virus transmission

2022· article· en· W4293483808 on OpenAlexaboutno aff
Dattatreya Mukherjee, Mittal Savaliya, Vikash Jaiswal

Bibliographic record

VenueAnnals of Medicine and Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakMedicineHepatitis ATransmission (telecommunications)Hepatitis a virusHepatitisEnvironmental healthVirologyIncidence (geometry)Virus

Abstract

fetched live from OpenAlex

Dear Editor, During the past decade, the upward trend of consuming healthy foods that do not contain chemical additives has led to increased consumption of fresh organic fruits and vegetables. The incidence of foodborne outbreaks linked to contaminated fresh food is rising, particularly with the hepatitis A virus (HAV), one of the most regularly reported infections (46.1%) [1]. A total of 44,654 Hepatitis A cases in 37 states of the United States (US) have been reported since the outbreaks were first identified (up to June 10, 2022) [2]. In the USA, recently, 17 people got hepatitis A after eating organic strawberries, and 12 patients got hospitalized. On May 28, FDA announced this situation as a multistate Hepatitis A outbreak [3]. As of June 2, 2022, 10 laboratory-confirmed Hepatitis A cases and these have been investigated in 2 provinces of Canada: 6 in Saskatchewan and 4 in Alberta [4]. So, the question arises, “are the organic foods safe?” Several brands of organic food are under a magnifying glass. In mid-2018, 20 hepatitis A cases were diagnosed after consuming frozen strawberries produced in Poland [5]. Germany and Georgia, USA had also faced similar outbreaks of Hepatitis A [6,7]. Undoubtedly, strawberry is a crucial vehicle of Hepatitis A viruses. Hepatitis A is a symmetrical RNA virus which is highly contagious and causes liver infections. According to WHO, this virus will spread in an uninfected person from an infected person through food and water [8]. So, there is a higher possibility that the persons handling these strawberries have hepatitis A. Hepatitis A has no specific treatments, only supportive care. Prevention-wise, maintaining hygiene and sanitation is essential. Hepatitis A vaccination is also important. According to CDC, the best strategy to avoid infection is to get the entire two-dose series of hepatitis A immunization [9]. Also, pre-exposure and post-exposure prophylaxis (PEP) are essential. Mass vaccination or mass PEP is highly recommended in the affected areas to combat this situation. In USA and Canada, all the organic strawberries should be sent to labs for quality testing, and the prominent companies will get more priority in testing. Imported strawberries should be checked in the labs. If someone has already bought organic strawberries, it's better not to consume them. If someone has ingested or gets symptoms like hepatitis A, they should consult the nearby health centre. Strawberry is a known vehicle of hepatitis A. Not only strawberry, raw scallops, frozen tuna, conventional blackberries, and pomegranate seeds are also known [10]. Fertilizers should also be checked in the labs. So, all the organic food should be certified by FDA or other government food departments before selling in the market. It's also not clear why strawberries and other fruits mentioned above are a good vehicle for Hepatitis A. Research is needed to find the answer to this question. The non-affected countries should also take these precautious steps. In organic farming, hygiene and sanitation should be appropriately maintained. Product handling is essential. Regular health checkups of handlers are important. There should be a government website where the farmers and the product handlers will upload their regular health checkup reports, and artificial intelligence can quickly identify the affected handlers among them. Proper protocol, screening and lab testing of foods are the primary ways to protect the world from the future outbreak of food-based Hepatitis A. Ethical approval Obtained. Source of funding None. Author contribution VJ conceptualised the idea. VJ,DM,MS has written the manuscript. VJ performed critical edits of the draft, and prepared the final version of this manuscript which was approved by all authors. Trail registry number NA. Garantor Vikash Jaiswal MD. Larkin Community Hospital, 7031, Southwest 62nd Ave, South Miami, Fl, USA, Email ID: [email protected]. Declaration of competing interest None.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.346
Teacher spread0.250 · 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 designObservational
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

Citations2
Published2022
Admission routes1
Has abstractyes

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