Title |
Spillover of pH1N1 to swine in Cameroon: an investigation of risk factors
|
---|---|
Published in |
BMC Veterinary Research, March 2014
|
DOI | 10.1186/1746-6148-10-55 |
Pubmed ID | |
Authors |
Brenda Larison, Kevin Y Njabo, Anthony Chasar, Trevon Fuller, Ryan J Harrigan, Thomas B Smith |
Abstract |
The 2009 pH1N1 influenza pandemic resulted in at least 18,500 deaths worldwide. While pH1N1 is now considered to be in a post-pandemic stage in humans it has nevertheless spilled back into swine in at least 20 countries. Understanding the factors that increase the risk of spillover events between swine and humans is essential to predicting and preventing future outbreaks. We assessed risk factors that may have led to spillover of pH1N1 from humans to swine in Cameroon, Central Africa. We sampled swine, domestic poultry and wild birds for influenza A virus at twelve sites in Cameroon from December 2009 while the pandemic was ongoing, to August 2012. At the same time we conducted point-count surveys to assess the abundance of domestic livestock and wild birds and assess interspecific contact rates. Random forest models were used to assess which variables were the best predictors of influenza in swine. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 49 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 20% |
Student > Ph. D. Student | 8 | 16% |
Other | 5 | 10% |
Student > Doctoral Student | 5 | 10% |
Researcher | 5 | 10% |
Other | 8 | 16% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 20% |
Environmental Science | 5 | 10% |
Nursing and Health Professions | 3 | 6% |
Veterinary Science and Veterinary Medicine | 3 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Other | 14 | 27% |
Unknown | 13 | 25% |