Results for “mosquito” — Page 10

NASA NTRSDate not supplied

Implications of seagrass changes on manatee distributions in the Indian River Lagoon waters surrounding NASA’s Kennedy Space Center

The presentation will discuss Kennedy Space Center’s (KSC) long term monitoring of seagrass and manatees in the Banana River (BR) prior to 2010, the remarkable decline in seagrass habitat that occurred thereafter, and the notable shift in manatee distribution. For Banana River, from 2010 to 2015, seagrass declined while manatee presence increased, with an average of 525 manatees per flight in 2015. After 2016, both seagrasses and manatee presence declined. Concurrently, increasing manatee numbers were reported for Mosquito Lagoon (ML), where historical manatee occurrence was relatively low. In 2016, aerial surveys were expanded to include the southern half of ML to document this significant distribution shift. By 2022, ML had become the hub of manatee occurrence on KSC, with an average of 946 manatees per flight and only 48 per flight in BR. These data enhance information for IRL stakeholders regarding seagrass habitat and manatee protection in the northern IRL.

Seagrass↗

NASA NTRSDate not supplied

Implications of Seagrass Changes on Manatee Distributions in the Indian River Lagoon Waters Surrounding NASA's Kennedy Space Center

The presentation will discuss Kennedy Space Center’s (KSC) long term monitoring of seagrass and manatees in the Banana River (BR) prior to 2010, the remarkable decline in seagrass habitat that occurred thereafter, and the notable shift in manatee distribution. For Banana River, from 2010 to 2015, seagrass declined while manatee presence increased, with an average of 525 manatees per flight in 2015. After 2016, both seagrasses and manatee presence declined. Concurrently, increasing manatee numbers were reported for Mosquito Lagoon (ML), where historical manatee occurrence was relatively low. In 2016, aerial surveys were expanded to include the southern half of ML to document this significant distribution shift. By 2022, ML had become the hub of manatee occurrence on KSC, with an average of 946 manatees per flight and only 48 per flight in BR. These data enhance information for IRL stakeholders regarding seagrass habitat and manatee protection in the northern IRL.

Indian River Lagoon↗

DOE OSTI2021

Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil

Dengue virus remains a significant public health challenge in Brazil, and seasonal preparation efforts are hindered by variable intra- and interseasonal dynamics. Here, we present a framework for characterizing weekly dengue activity at the Brazilian mesoregion level from 2010–2016 as time series properties that are relevant to forecasting efforts, focusing on outbreak shape, seasonal timing, and pairwise correlations in magnitude and onset. In addition, we use a combination of 18 satellite remote sensing imagery, weather, clinical, mobility, and census data streams and regression methods to identify a parsimonious set of covariates that explain each time series property. The models explained 54% of the variation in outbreak shape, 38% of seasonal onset, 34% of pairwise correlation in outbreak timing, and 11% of pairwise correlation in outbreak magnitude. Regions that have experienced longer periods of drought sensitivity, as captured by the “normalized burn ratio,” experienced less intense outbreaks, while regions with regular fluctuations in relative humidity had less regular seasonal outbreaks. Both the pairwise correlations in outbreak timing and outbreak trend between mesoresgions were best predicted by distance. Our analysis also revealed the presence of distinct geographic clusters where dengue properties tend to be spatially correlated. Forecasting models aimed at predicting the dynamics of dengue activity need to identify the most salient variables capable of contributing to accurate predictions. Our findings show that successful models may need to leverage distinct variables in different locations and be catered to a specific task, such as predicting outbreak magnitude or timing characteristics, to be useful. This advocates in favor of “adaptive models” rather than “one-size-fits-all” models. The results of this study can be applied to improving spatial hierarchical or target-focused forecasting models of dengue activity across Brazil.

59 BASIC BIOLOGICAL SCIENCES↗