Chapter title |
Ebola Virus Field Sample Collection
|
---|---|
Chapter number | 30 |
Book title |
Methods in Molecular Biology
|
Published in |
Methods in molecular biology, June 2017
|
DOI | 10.1007/978-1-4939-7116-9_30 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7115-2, 978-1-4939-7116-9
|
Authors |
Amman, Brian R., Schuh, Amy J., Towner, Jonathan S., Brian R. Amman, Amy J. Schuh, Jonathan S. Towner |
Editors |
Thomas Hoenen, Allison Groseth |
Abstract |
Sampling wildlife for ebolaviruses presents the researcher with a multitude of challenges, foremost of which is safety. Throughout the methods described in this chapter, personal safety and personal protective equipment (PPE) will be reiterated for each methodology. The methods described here are those used to successfully detect and isolate marburgviruses from their natural reservoir, Rousettus aegyptiacus, and therefore should be applicable for diagnostic testing for ebolaviruses via RT-PCR, ELISA, and IHC techniques.Although an ebolavirus natural reservoir has yet to be identified, the majority of disease ecologists believe the reservoir to belong to the order Chiroptera (bats). The methods presented in this chapter are presented with bats as an example, but all of these methods would be applicable to other species of wildlife with few or no modifications. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 22% |
Student > Ph. D. Student | 3 | 17% |
Student > Bachelor | 2 | 11% |
Other | 2 | 11% |
Student > Doctoral Student | 2 | 11% |
Other | 1 | 6% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 3 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 17% |
Agricultural and Biological Sciences | 3 | 17% |
Nursing and Health Professions | 1 | 6% |
Social Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 33% |