Andrew Schroeder’s Post

‼️New analysis from the CrisisReady team of change in population density from Data for Good at Meta for the windward islands in the eastern #Caribbean impacted by #HurricaneBeryl 👉 Mobility data confirms significant reductions in internet service across St. Vincent and the Grenadines and Grenada starting overnight on the 1st of July. 🛜 According to data from Cloudflare (https://lnkd.in/gQQAx6wb) an outage event for both countries began at 14:00 UTC on July 1st. 👫 During this time period population densities of Facebook users declined by 60% to 80% relative to the 90-day pre-event baseline. ⚡ The outage across both countries is not 100% but until more data is available it is difficult to differentiate between population change and signal outage. Most areas of St. Lucia and Barbados have seen population density recover above baseline as of July 2nd, with the exceptions of Canaries and Soufriere, St. Lucia. ⚠️ Facebook baseline user population is reasonably well correlated with the Census population across all four countries, at the administrative unit 1 level, with an R2 value of .778. https://lnkd.in/gWdzeNDE Direct Relief Harvard Data Science Initiative

New research finds that there are more hurricane-related deaths than traditionally calculated, especially among the poorest & most vulnerable communities. With #ClimateChange intensifying hurricane seasons, it's crucial to reflect on the lessons from past disasters like Hurricane Katrina in 2005 and understand how vulnerable populations are disproportionately affected before, during, and after these events. Bolder climate action is needed to help protect our communities from devastating natural disasters. Read more on hurricane-related deaths & social vulnerability. https://lnkd.in/gaqrrURs

Web-based maps are invaluable tools in Emergency Management, particularly during rapidly evolving incidents. Here's a real-world example using the Felt platform to monitor Hurricane Idalia's path across Florida and Georgia. Though the specific map doesn't allow for external contributions, the platform has capabilities beyond simple map visualizations. It can integrate real-time data sources and foster collaboration by allowing users to comment, make notes, add images, and upload additional data for quick situational awareness of evolving situations like Hurricane Idalia. Emergency Managers can enhance situational awareness, promote collaboration between different jurisdictions, and make real-time data-driven decisions, providing significant benefits for planning and response. #emergencymanagement #gis #datadrivendecisions #situationalawareness #hurricaneidalia

Damages from compounding events—a #hurricane, cold outbreak (WS #Uri), and #pandemic—disproportionately impacted #sociallyvulnerable populations in #Houston, #Texas. FIGURE 26.3. Several areas in Houston (yellow outlines) that were most affected by Hurricane Harvey, the February 2021 cold outbreak (unofficially named “Uri”), and COVID-19 unemployment coincided with census blocks with high scores on the Social Vulnerability Index (#SVI) from the #CDC (darker gray shading). (The SVI measures 16 social factors that describe socioeconomic status, household characteristics, racial and ethnic status, housing type, and transportation access.) For the weather events, zip codes were ranked by number of valid registrants to FEMA’s Individual and Households Program for financial assistance; for COVID-19, zip codes were ranked by percentage of population claiming unemployment insurance due to COVID-19, according to Texas Workforce Commission data from May 2020 to June 2021. The zip codes in the top 25% by those metrics are outlined in yellow. Adapted from Map 5 of Rice University Kinder Institute for Urban Research 2022.46 Source: https://lnkd.in/gFS65gB2

The following scatter plot visualizes the mortality count per day within Puerto Rico from 2015 to 2018. Even without the smoothing, we can already see the trend of higher mortality count at the end of every year based on the observations themselves. We can consider several factors that could cause this trend to happen every year, one example is Hurricane Maria that happened in the fourth quarter of 2017, we can see the dramatic spike in mortality of the country during the time. Of course, the factors aren't just limited to only natural disasters, but it's still interesting (and quite concerning) to see the trend that existed within the observations. Data used: Puerto Rico daily mortality 2015-2018 from dslabs package in R Goal: Smoothing exercise in R (Span/Bandwidth used in the visualization is 60 days, with degree = 1) #r #rlanguage #tidyverse #lubridate #purrr #pdftools #dslabs #datascience #machinelearning #smoothing #loess

🌪️ HSR.health's Hurricane Health Risk Index uses data from social, environmental, economic, and health conditions to identify the health and medical needs of hurricane-affected populations before landfall. View our AWS marketplace listing here: ➡️ https://bit.ly/3xweroU Learn how HSR.health can help you make a difference. Request a demo here ➡️ https://bit.ly/3OEvL1G #GeoAI #HSRhealth #healthcaretechnologyfirm #geospatialdata #GlobalHealthSolutions #HealthcareTechnology #MedicalAI #MentalHealth

New Situation Report: Tropical Storm Hilary Southern California | Sunday, August 20, 2023; 7:00 PM On Sunday, August 20th, Tropical Storm Hilary made landfall on the Baja California peninsula of Mexico, causing widespread power outages and destruction to transportation networks. The storm subsequently swept over Southern California, marking a historical moment as the first tropical storm to impact the region in 84 years. Concurrently, a 5.1-magnitude earthquake struck Southern California; however, no significant damage was reported by residents and local authorities. The greatest concerns across the area focused on exceptionally high amounts of rainfall dropping on desert communities that rarely or never see this type of tropical storm activity. CrisisReady's latest situation report on #TropicalStormHilary provides information on local healthcare infrastructure as well as baseline population vulnerabilities and density changes in Southern California registered on Sunday, August 20 at 19:00 EDT (7:00 p.m. local time). 🔎 Key Observations: 🌩️ General Updates & Community Demographics • In desert communities around Palm Springs, most areas showed high population density rates and low mobility rates compared to the 90-day pre-crisis baseline. • This suggests limited travel due to personal choices or transportation disruptions from floods. • Communities near Palm Springs have an older population than the state average; Areas like #DesertPalms and #IndianWells have between 56% and 83% of their residents aged 65 or older. 📉 Decreases in Population Densities: • Communities with notable population declines, potentially due to voluntary evacuations, include: • #PalmSprings: -4% (a decrease of 502 individuals). • #Idyllwild, #Cabazon, and #BigBearLake: Decreases ranging from 18% to 31%. ---- Download the full report here: https://lnkd.in/eXvDaAbb ---- #HurricaneHilary #StormHilary #Hilary #California #SanDiego #PalmSprings #EmergencyResponse #CrisisResponse #NaturalDisasters #Hurricanes #Storms #disasterresponse #situationreport #HurricaneHilaryUpdate #disasters #disasterrelief #displacement #healthinfrastructure

🌪️ HSR.health's Hurricane Health Risk Index uses data from social, environmental, economic, and health conditions to identify the health and medical needs of hurricane-affected populations before landfall. View our AWS marketplace listing here: ➡️ https://bit.ly/3xweroU Learn how HSR.health can help you make a difference. Request a demo here ➡️ https://bit.ly/3OEvL1G #GeoAI #HSRhealth #healthcaretechnologyfirm #geospatialdata #GlobalHealthSolutions #HealthcareTechnology #MedicalAI #MentalHealth

I recently presented my research on "Retirees on the Move: Examining Mobility Responses and Recovery Dynamics During Hurricane Ian in Southwest Florida" at the American Association of Geographers conference in Honolulu, Hawaii. I am grateful for the immense support from my advisor Yujie Hu and my lab mates. My work explored the movement and recovery patterns of elderly people during Hurricane Ian. We found that mobility drastically declined on the day of landfall, and some census tracts took almost 92 days to recover. Random Forest models outperformed Ordinary Least Squares regression in predicting mobility patterns. Several social and geographical factors were statistically significant in predicting recovery patterns during Hurricane Ian. #aag2024 #hurricane #mobility #recovery #ian

➡️ Disaster response efforts rely on identifying resources and personnel needed in affected areas. HSR.health uses social, environmental, economic, and health conditions data to create a Hurricane Health Risk Index, identifying the underlying health and medical needs of the impacted population. Check out our Hurricane Health Risk Index launched on the AWS marketplace: https://lnkd.in/eMTSJT52 Learn how HSR.health can help you make a difference. Request a demo here ➡️ https://bit.ly/3OEvL1G #GeoAI #HSRhealth #healthcaretechnologyfirm #geospatialdata #GlobalHealthSolutions #HealthcareTechnology #MedicalAI #MentalHealth