Browsing by Author "Campos, Laura A."

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    A simple tree planting framework to improve climate, air pollution, health, and urban heat in vulnerable locations using non-traditional partners
    (Wiley, 2022) Hopkins, Loren P.; January-Bevers, Deborah J.; Caton, Erin K.; Campos, Laura A.
    Societal Impact Statement Planting trees is considered an effective method for climate change adaptation and mitigation. This framework provides a replicable blueprint to improve health, urban heat, flooding, and air pollution via a multisectoral, collaborative, environmental data-driven approach. Native tree species with targeted ecosystem services are selected, and sites are strategically identified based on environmental and health benefits, with the intent of engaging community involvement through education and large-scale tree plantings. Including non-traditional partners in the framework provides heightened awareness of the relationship between climate change and health, thus catalyzing decision-making regarding sustainable actions that reduce effects of climate change. This native tree planting framework is highly adaptable in other cities. Summary A multidisciplinary framework is presented for a data-driven, climate change adaptation and climate change and air pollution mitigation project. This framework leverages heightened awareness of the connections between climate change, air pollution, and health to expand the cadre and societal impacts of those working to intervene in resilience planning and implementation. The framework, implemented in Houston, Texas, USA, beginning in 2019, consists of three parts: (1) identification of optimal native tree species for climate change adaptations and air pollution mitigation around variables important locally; (2) selection of large-scale native tree planting locations where populations are already disproportionately experiencing flooding, increased heat, and air pollution-related health effects that could be further exacerbated from climate change; and (3) engagement of multisectoral leadership broadened beyond those traditionally working on climate change resilience through heightening awareness of the link to human health. Native tree species were identified that had the highest combination of absorption of carbon dioxide, other air pollutants, and water absorption (aiding in flood adaptation and air pollution/heat mitigation). Thousands of the top tree species were planted in locations that experience substantial flooding during large rain events, have high rates of health effects exacerbated by air pollution (e.g., cardiac arrest and asthma attacks), and experience multiple days of elevated heat and air pollution. This multidisciplinary framework addresses a critical need to provide interventions accessible to the community; educate on the connection between climate change adaptation, air pollution mitigation, and health; and foster multisectoral leadership to accelerate local resilience actions.
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    City-Specific Air Quality Warnings for Improved Asthma Self-Management
    (Elsevier, 2019) Raun, Loren H.; Ensor, Katherine B.; Pederson, John E.; Campos, Laura A.; Persse, David E.
    INTRODUCTION: This study presents a framework for identifying "high-risk" days for asthma attacks associated with elevated concentrations of criteria pollutants using local information to warn citizens on days when the concentrations differ from Environmental Protection Agency Air Quality Index (AQI) warnings. Studies that consider the unique mixture of pollutants and the health data specific to a city provide additional information for asthma self-management. This framework is applied to air pollution and asthma data to identify supplemental warning days in Houston, Texas. METHODS: A four-step framework was established to identify days with pollutant levels that pose meaningful increased risk for asthma attacks compared with baseline. Historical associations between 18,542 ambulance-treated asthma attacks and air pollutant concentrations in Houston, Texas (2004-2016; analyzed in 2018), were analyzed using a case-crossover study design with conditional logistic regression. Days with historically high associations between pollution and asthma attacks were identified as supplemental warning days. RESULTS: Days with 8-hour maximum ozone >66.6 parts per billion for the 3 previous days and same-day 24-hour nitrogen dioxide >19.3 parts per billion pose an RR of 15% above baseline; concentrations above these levels pose an increased risk of 15% (RR=1.15, 95% CI=1.14, 1.16) and 30% (RR=1.30, 95% CI=1.29, 1.32), respectively. These warnings add an additional 12% days per year over the AQI warnings. CONCLUSIONS: Houston uses this framework to identify supplemental air quality warnings to improve asthma self-management. Supplemental days reflect risk lower than the National Ambient Air Quality Standards and consecutive poor air quality days, differing from the AQI.