Title |
Spatiotemporal Fluctuations and Triggers of Ebola Virus Spillover - Volume 23, Number 3—March 2017 - Emerging Infectious Diseases journal - CDC
|
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Published in |
Emerging Infectious Diseases, March 2017
|
DOI | 10.3201/eid2303.160101 |
Pubmed ID | |
Authors |
John Paul Schmidt, Andrew W. Park, Andrew M. Kramer, Barbara A. Han, Laura W. Alexander, John M. Drake |
Abstract |
Because the natural reservoir of Ebola virus remains unclear and disease outbreaks in humans have occurred only sporadically over a large region, forecasting when and where Ebola spillovers are most likely to occur constitutes a continuing and urgent public health challenge. We developed a statistical modeling approach that associates 37 human or great ape Ebola spillovers since 1982 with spatiotemporally dynamic covariates including vegetative cover, human population size, and absolute and relative rainfall over 3 decades across sub-Saharan Africa. Our model (area under the curve 0.80 on test data) shows that spillover intensity is highest during transitions between wet and dry seasons; overall, high seasonal intensity occurs over much of tropical Africa; and spillover intensity is greatest at high (>1,000/km(2)) and very low (<100/km(2)) human population densities compared with intermediate levels. These results suggest strong seasonality in Ebola spillover from wild reservoirs and indicate particular times and regions for targeted surveillance. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 27 | 42% |
United Kingdom | 5 | 8% |
Mexico | 2 | 3% |
Korea, Republic of | 1 | 2% |
United Arab Emirates | 1 | 2% |
France | 1 | 2% |
Switzerland | 1 | 2% |
Denmark | 1 | 2% |
Argentina | 1 | 2% |
Other | 3 | 5% |
Unknown | 21 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 61% |
Scientists | 18 | 28% |
Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 119 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 22% |
Student > Ph. D. Student | 19 | 16% |
Student > Master | 18 | 15% |
Student > Bachelor | 9 | 8% |
Student > Doctoral Student | 7 | 6% |
Other | 15 | 13% |
Unknown | 26 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 28 | 23% |
Environmental Science | 14 | 12% |
Medicine and Dentistry | 14 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Nursing and Health Professions | 5 | 4% |
Other | 15 | 13% |
Unknown | 37 | 31% |