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Enregistrement W4287830455

Hantavirus: A Literature Search for Scientific Production of the Infection Using Bibliometric Analysis

2020· article· en· W4287830455 sur OpenAlexaboutno aff
Vasna Joshua, Satish Sivaprakasam

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueViral Infections and Vectors
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHantavirusHantavirus InfectionBibliometricsGeographyVirologyComputer scienceLibrary scienceBiologyVirus
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The novel Coronavirus (COVID-19), which emerged from the Wuhan City of China was first reported to the World Health Organization on 31December 2019. It has affected 205 countries and territories and infected more than 1,141,425 people worldwide, and claimed over 61,205 lives (1). Amidst this pandemic outbreak, the death of a person from Yunnan province by Hantavirus also became a source of panic for the humankind. Eventually it made us to search literature for global publication of Hantavirus infection using the three databases: Scopus, Web of science (WoS) and PubMed. In 1978, in South Korea, near the Hantan river, an outbreak of Hemerologic fever occurred. The causative agent was isolated from a small infected field rodent. The virus was named by its birth place as ‘Hanta anvirus’. Later in 1993 the outbreak in the four corner region of Southwestern United States that caused serious respiratory distress in infected patients was called as hantavirus pulmonary syndrome (HPS). Eventually it led to the discovery of hantavirus genus of more than twenty one species and more than 30 genotypes (2). We explored three main biomedical databases globally namely Scopus, Web of Science (WoS) and PubMed. using the search strategy as “Hantavirus” in the title. All the research outputs were downloaded on 27th March 2020 published from 1 Jan 1999 to 27th March 2020 (22 years). Globally number of research articles retrieved by the three databases were 1519 (WoS), 1566 (PubMed) and 1348(Scopus). On an average the number of research articles identified by WoS, PubMed and Scopus were 69, 71 and 61 respectively per year. PubMed identified the maximum number of articles. Examining all three databases, the growth pattern of the Hantavirus articles was neither increasing nor decreasing over years (Fig I). The growth was on the increase during the years 2007, 2014 and 2019. The major five productive countries were from USA, Finland, Germany, China and Sweden (Fig II). Considering WoS, 31.8% from USA, Finland 12.7%, Germany 12.2%, China 4.9% and Sweden 9.5%; followed by PubMed, 18.2% from USA, Finland 9.1%, Germany 8.1%, China 7.9 % and Sweden 5.1; and Scopus, 26.7% from USA, 11.6% Finland, 11% Germany, 9.6%China and 8.8% Sweden. The reported number of cases of Hantavirus Infection in the United States (1999-2018) through the Nationally Notifiable Disease Surveillance System (NNDSS) (3) is shown in Fig I. Also the European Centre for Disease Prevention and Control (ECDC) surveillance report 2015 (4) shows the number of Hantavirus infection cases for the period 2011-2015 for European countries. The second productive country Finland showed an increased number (2089 cases) during the year 2014. It can be justified that, whenever more number of cases occur as an outbreak, there appears a growth in the number of research articles. To conclude based on the three databases, the growth pattern of the Hantavirus research articles was not steady. The pattern showed some fluctuations, the magnitude of the output got raised followed by an outbreak where in the scientific community became active and it was on lower side until a further outbreak. The country USA has contributed more publications may be due to the reason of the first outbreak of unknown origin happened and moreover it is a predominant country for scientific research as shown various bibliometric analysis (5-10) Since from the first outbreak of Hanta pulmonary syndrome (HPS) in May 1993, several Cases of HPS outbreak from related hantaviruses have been documented in various countries like Argentina, Brazil, Canada, Chile etc. (1). Consequently it would have led to more research and as a result many scientific outputs are published. Any scientific research output disseminates one or more of the following: epidemiology of the disease, severity of the disease and its impact, the emergency response required, remedial measures, probable research collaborations, development of medicines and vaccines. Hence Hantavirus research outputs indicates the scientific community is dynamic and active. Acknowledgment The authors thank all those who helped them writing this paper. Conflict of Interest Authors declared no conflict of interests.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,048
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesBibliométrie
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,832
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,048
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0080,005
Bibliométrie0,1680,167
Études des sciences et des technologies0,0020,001
Communication savante0,0040,004
Science ouverte0,0020,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0170,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,447
Tête enseignante GPT0,592
Écart entre enseignants0,145 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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