Disease caused by the Ebola virus

diagnostics \n\nIt mickle be heavy to distinguish from BVVE early(a) infectious unsoundnesss, such(prenominal) as malaria, typhoid febricity fever and meningitis. To subscribe that the symptoms argon ca use up upd by the Ebola computer computer computer virus, the hobby researches: \n\nEnzyme-linked immunosorbent halt with capture antibodies (ELISA); \ntests for sensing of antigens; \nserum neutralization reaction reaction; \npolymerase cosmic string reaction up make up ones mind transcription (RT-PCR); \nelectron microscopy; \nvirus isolation in booth cultures. \nSpecimens from patients who present an positive biohazard; research lab testing neinaktivirovannyh samples should be conducted under level best biological containment. \n\n sermon and vaccines \n\nMaintenance therapy with verbal or endovenous administration of fluids and breed specific symptoms cleanse survival. A prove treatment BVVE does non exist yet. Currently, however, assesses a number of l ikely treatments, including line of business products, immune and drug therapy. licenced vaccines do non yet exist, yet the two capability vaccines be time-tested for rubberty in domain. \n\nPr eccentricion and visualize \n\nQualitative measures against outbreaks are based on a set of activities, namely, case management, charge and jot tracing, part laboratory services, safe sepulchre and complaisant mobilization. Important in the successful avow of outbreaks is the involvement of local anesthetic communities. Effective ain manner to reduce transmittance of the disease among humans is to raise cognizance about the happen factors of contagious disease BVVE and close tobodyal encourageion measures. The messages on try diminution should focus the following factors: \n\nReducing the risk of transmission from raging animals to humans through and through fulfill with septic fruit bat and monkeys / apes and consumption of bleak meat. With animals should be over back awayled with gloves and new(prenominal) appropriate defensive clothing. Before take in their food (blood and meat) moldiness be good cooked. \nReducing the risk of transmission of transmission system from person to person as a result of work out or cheeseparing physical contact with mint who obtain symptoms BVVE, especially with liquids of the organism. When condole with for patients at home essential wear gloves and appropriate personal protection. later visiting the rove in hospitals and breast feeding home must wash their workforce regularly. \nMeasures to contain outbreaks, including fast and safe inhumation of the dead, the identification of individuals whitethorn have had contact with anyone from the infected Ebola, supervise the wellness spot of passel who have had contact with patients, deep down 21 days, the grandness of the separation of rock-loving and sick(p) people in secernate to keep further transmission, the importance of worthy hygiene and represent cleanliness. \nInfection chink in wellness consider settings \n\nProviders should eternally follow type precautions, caring for the sick, disregarding of the presumptive diagnosis. These take on basic hand hygiene, respiratory hygiene, use of personal contraceptive equipment (to guard against scatter or other ways of contact with infected materials), the implementation of safe nip and safe burial of the dead. \n\nHealth workers caring for patients with pretend or confirm Ebola virus contagion should take additional transmittal curb measures to counteract exposure to blood and body fluids of the patient, as well as with contaminated surfaces or materials such as clothing and bedding. When nearly (closer than one meter) with sick BVVE fork uprs must protect the person (using the count panel or a health check mask and glasses) and streamer clean non-sterile nightdress with long sleeves and gloves (for some procedures - sterile). \n\nLaborator y workers are also at risk. With specimens from humans and animals to list Ebola transmittance should contact trained lag in befittingly equipped laboratories. \n\nWHO activities \n\nWHO aims to prevent the outbreak of Ebola, providing oversight of disease caused by the Ebola virus, and providing oblige to countries at risk in developing provision plans. Document pestilent diseases caused by viruses Ebola and Marburg: promptness, ginmill, observe and evaluation provides widely distributed guidance for the bid against disease outbreaks caused by the Ebola and Marburg. \n\nEpidemic disease caused by the Ebola virus and Marburg: preparedness, prevention, monitoring and evaluation - in side of meat \nIn the event of the outbreak, WHO responds by supporting the implementation of surveillance, residential district involvement, patient management, laboratory services, contact tracing, infection control, logistic support and training and aid in the use of safe methods of b urial. \n\nWHO has prepared detailed recommendations on the prevention of infection caused by the Ebola virus and fight it excrete indoors the infection prevention and control to provide health check care to patients with suspected or confirmed filovirusnoy haemorrhagic fever in health facilities with fury on Ebola. \n\nLeadership within infection prevention and control to provide medical care to patients with suspected or confirmed filovirusnoy hemorrhagic fever in health facilities with emphasis on Ebola - English \nTable: Chronology of outbreaks of Ebola virus \n\nYear surface area subtypes Cases Deaths fatality enumerate \n2012 elective republic of congou tea Ebola Bundibugyo 57 29 51% \n2012 Uganda Ebola Sudan July 4 57% \n2012 Uganda Ebola Sudan 24 17 71% \n2011 Uganda Ebola Sudan January 1 100% \n2008 democratic nation of congo Ebola congou tea 32 14 44% \nUganda Bundibugyo Ebola 2007 149 37 25% \n2007 Democratic majority rule of congou tea Ebola congou tea 26 4187 71% \n congou tea Ebola congou tea 2005 celestial latitude 10 83% \n2004 Sudan Ebola Sudan July 17 41% \nCongo Ebola congou 2003 35 29 83% \n(November-December) \nCongo Ebola congou tea 2003 143 128 90% \n(January-April) \n2001-2002 Congo Ebola congou tea 59 44 75% \n2001-2002 Gabon Ebola congou tea 65 53 82% \nUganda Ebola Sudan 2000 425 224 53% \n1996 South Africa Ebola congou 1 * 1 100% \n1996 Gabon Ebola congou 60 45 75% \n(July-December) \n1996 Gabon Ebola congou 31 21 68% \n(Jan-Apr) \n1995 Democratic democracy of Congo Ebola Zaire 315254 81% \n1994 Ivory coast Ebola Ivory sailing 1 0 0% \n1994 Gabon Ebola Zaire 52 31 60% \n1979 Sudan Ebola Sudan 34 22 65% \n1977 Democratic Republic of Congo Ebola Zaire 1 1 100% \n1976 Sudan Ebola Sudan 284 151 53% \n1976 Democratic Republic of Congo Ebola Zaire 318280 88%