WIFI FIRE: A A Scalable e Da Data-Driven M Monitoring, D - PowerPoint PPT Presentation

WIFI FIRE: A A Scalable e Da Data-Driven M Monitoring, D Dynamic Prediction and R an Res esil ilie ience C Cyb yberin infrastructure for Wild ildfir ires Monitoring Visualization Fire Modeling Data

CA F Fires 10/2017 t 2017 throug ugh 1 h 12/2017 2017 800K+ u unique visitors a and 8M+ h hits ts http://firemap.sdsc.edu

Fire M e Model eling g in W WIFIRE RE Fire perimeter Real-time sensors Landscape data Weather forecast Monitoring & fire mapping

UCSF F PRETERM B BIRTH I INITIIA IATIVE Distri ribution o of p preterm b birt rth by race & cl clinical r risk f fact ctors Preexisting Preexisting Hypertension w/ Preclampsia Diabetes Infection White women Black women Hispanic women

PRETERM BIRTH BY CLINICAL RISK FACTORS Risk/protective factor Urban Suburban Rural Born in Mexico 0.9 (0.8, 1.0) Underweight BMI 1.3 (1.1, 1.5) Overweight BMI 0.9 (0.8, 1.0) Preexisting diabetes 1.7 (1.3, 2.1) 1.9 (1.4, 2.5) 1.8 (1.4, 2.4) Gestational diabetes 1.3 (1.2, 1.5) 1.3 (1.2, 1.6) 1.4 (1.2, 1.6) Preexisting hypertension without preeclampsia 1.6 (1.2, 2.1) 1.7 (1.2, 2.3) 1.7 (1.3, 2.3) Preexisting hypertension with preeclampsia 4.7 (3.7, 6.0) 5.6 (4.3, 7.2) 5.7 (4.4, 7.5) Gestational hypertension without preeclampsia 1.6 (1.2, 2.0) 1.5 (1.1, 1.9) Gestational hypertension with preeclampsia 3.5 (3.1, 3.9) 4.1 (3.6, 4.7) 4.4 (3.9, 4.9) Infection 1.4 (1.3, 1.5) 1.4 (1.2, 1.5) 1.4 (1.3, 1.6) aRR > 1.0 to <1.5 aRR 1.5 to <2.0 aRR 2.0 to <3.0 aRR 3.0 to <4.0 aRR 4.0 to <5.0 aRR 5.0 to < 6.0 aRR < 1.0 to >0.67 aRR 0.67 to >0.5

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