The latest outbreaks of Lassa Fever Virus in Nigeria
Bibliographic record
Abstract
August 20-22, 2012 L fever virus is the microbial pathogen associated with the outbreaks of Lasser fever, a zoonoses disease. The virus is arenavirus, a genus in arenaviridae family. The enveloped virus with RNA genome causes persistent, asymptomatic infection in rodent vector, Mastomys natalensis but sever symptoms in an infected person. Humans contract the disease through inhalation of contaminated air droplets, blood contact with infected individuals or materials, consumption of food contaminated with excretions from infected rodents and eating uncooked or under cooked infected rat meat. The infection in man is characterized by pathologies of gastrointestinal and respiratory tracts, conjunctivitis, mucosal bleeding, cardiovascular and neurological disorders. Lassa fever is endemic in West African countries including Liberia, Sierra Leone and Guinea. The infection has been reported in Senegal, Mali, Central African Republic and Congo Democratic Republic. Through international travels, the disease has been exported to United States of America, Canada, United Kingdom, Israel, Japan and Netherlands. Sub Sahara Africa is natural habitat of the vector rodents. It has been reported that 300,000 to 500,000 cases of Lassa fever out breaks with 5000 deaths occur annually in the sub region. In Nigeria including Jos 1970, Zonkwua from 1974 to 1977, Abo Mbaise and Owerri, 1985, Epkoma, 1990 to 1992, Lafiya 1992 and Abakaliki 2005, 2007, 2009 and 2011. The 2012, Lassa Haemorrhagic fever outbreak in 12 States of Nigeria claimed not fewer than 51persons lost their lives from 8,500 cases reported. Enzyme Linked Immunosorbent assay (ELISA), Immunofluoresence assay (IFA) and Polymerase Chain Reaction (PCR) techniques were used to detect viral antigens, its nucleic acid or specific antibody from pathological specimens. Ribavirine was the most effective drug used for treatment of Lasssa fever cases. Isolation of patients, barrier nursing, contact tracing, control of the vectors and adequate disposal of infectious wastes were effectively employed to prevent and control the outbreaks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".