Volume 8, Number 1—January 2002
Perspective
Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
Figure 6
![Figure 6 - a) Mass emergence forecast, Aedes vexans. Mass emergence is defined as a single-day collection of ≥128 mosquitoes. The probability of a mosquito mass emergence (lagged 10 days) increases with modeled surface wetness. b) Mass emergence forecast, Anopheles walkeri. Based on logistic regression analysis of the 15-year record of Great Swamp site An. walkeri. Mass emergence is defined as a single-day collection of ≥32 An. walkeri. As per Figure 6a, the probability of a mosquito m](/eid/images/01-0049-F6.jpg)
Figure 6. a) Mass emergence forecast, Aedes vexans. Mass emergence is defined as a single-day collection of ≥128 mosquitoes. The probability of a mosquito mass emergence (lagged 10 days) increases with modeled surface wetness. b) Mass emergence forecast, Anopheles walkeri. Based on logistic regression analysis of the 15-year record of Great Swamp site An. walkeri. Mass emergence is defined as a single-day collection of ≥32 An. walkeri. As per Figure 6a, the probability of a mosquito mass emergence (lagged 10 days) increases with increasing modeled surface wetness. c) Mass emergence forecast, Culex pipiens. Based on logistic regression analysis of the 15-year record of Great Swamp site Cx. pipiens. Mass emergence is defined as a single-day colleciton of ≥32 Cx. pipiens. The probability of a mosquito mass emergence (lagged 10 days) decreases with increasing modeled surface wetness.