| one publication added to basket [175894] | Predictive tresholds for plague in karakhstan
Davis, S.; Begon, L.; De Bruyn, L.; Ageyev, V.S.; Klassovskiy, N.; Pole, S.B.; Viljugrein, H.; Stenseth, N.C.; Leirs, H. (2004). Predictive tresholds for plague in karakhstan. Science (Wash.) 304(5671): 736-738. dx.doi.org/10.1126/science.1095854
In: Science (Washington). American Association for the Advancement of Science: New York, N.Y. ISSN 0036-8075; e-ISSN 1095-9203, more
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| Keywords |
Diseases > Vector-borne diseases > Bacterial diseases > Plague
Techniques > Estimation > Forecasting > Prediction
Asia, Kazakhstan [Marine Regions]
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| Authors | | Top |
- Davis, S.
- Begon, L.
- De Bruyn, L., more
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- Ageyev, V.S.
- Klassovskiy, N.
- Pole, S.B.
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- Viljugrein, H.
- Stenseth, N.C.
- Leirs, H.
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| Abstract |
In Kazakhstan and elsewhere in central Asia, the bacterium Yersinia pestis circulates in natural populations of gerbils, which are the source of human cases of bubonic plague. Our analysis of field data collected between 1955 and 1996 shows that plague invades, fades out, and reinvades in response to fluctuations in the abundance of its main reservoir host, the great gerbil (Rhombomys opimus). This is a rare empirical example of the two types of abundance thresholds for infectious disease—invasion and persistence— operating in a single wildlife population. We parameterized predictive models that should reduce the costs of plague surveillance in central Asia and thereby encourage its continuance. |
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