Emerging Infectious Disease ISSN: 1080-6059
Volume 8, Number 1—January 2002
Perspective
Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
Jeffrey Shaman
, Marc Stieglitz, Colin Stark, Sylvie Le Blancq, and Mark Cane
, Marc Stieglitz, Colin Stark, Sylvie Le Blancq, and Mark CaneFigure 5
![Figure 5 - Logistic regression analysis of the complete 15-year record of Great Swamp site Aedes vexans. Left vertical axis provides the predicted probability that the count of mosquitoes will lie at or below a given threshold. Surface wetness (the index of local wetness [ILM]) increases from left to right. Dots between lines illustrate the distribution of ILW values for mosquito counts falling between two successive threshold line values.](/eid/images/01-0049-F5.jpg)
Figure 5. Logistic regression analysis of the complete 15-year record of Great Swamp site Aedes vexans. Left vertical axis provides the predicted probability that the count of mosquitoes will lie at or below a given threshold. Surface wetness (the index of local wetness [ILM]) increases from left to right. Dots between lines illustrate the distribution of ILW values for mosquito counts falling between two successive threshold line values.
Lessons from the History of Quarantine, from Plague to Influenza A
Length: 23:11
