MétaCan
Menu
Back to cohort
Record W4287830455

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

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

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsnot available
Fundersnot available
KeywordsHantavirusHantavirus InfectionBibliometricsGeographyVirologyComputer scienceLibrary scienceBiologyVirus
DOInot available

Abstract

fetched live from 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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.1680.167
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.447
GPT teacher head0.592
Teacher spread0.145 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicViral Infections and VectorsFrench-language works237,207