Conlon, K., Kintziger, K., Jagger, M., Stefanova, L., Uejio, C., & Konrad, C. (2016). Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health. Int. J. Environ. Res. Public Health, 13(8), 804.
Abstract: There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida.
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Coutts, C., & Berke, T. (2013). Extent and Context of Human Health Considerations in London's Spatial Development and Climate Action Strategy. J. Urban Plann. Dev., 139(4), 322–330.
Abstract: The protection of human health is among the original justifications for urban planning, but it is underexamined as one of the myriad benefits of planning for climate change. A conceptual content analysis of the spatial development strategy and climate action plans of London, United Kingdom, was performed to reveal how health was portrayed in climate change adaptation goals and actions. In London's spatial development and climate action plans, there was a total of 300 instances of the keyword health' with weighted percentages of coverage in the documents ranging from 0.19% to 0.45%. The conclusions from this analysis are that stated threats to health are truly localized, policies that address health acknowledge both adaptation and mitigation, and health inequalities and creating an environment supportive of health are the most salient cross-cutting issues.
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Grossman, E., Grossman E, Hathaway, M., Hathaway M, Bush, K. F., Bush KF, et al. (2019). Minigrants to Local Health Departments: An Opportunity to Promote Climate Change Preparedness. J Public Health Manag Pract, 25(2), 113–120.
Abstract: CONTEXT: Human health is threatened by climate change. While the public health workforce is concerned about climate change, local health department (LHD) administrators have reported insufficient knowledge and resources to address climate change. Minigrants from state to LHDs have been used to promote a variety of local public health initiatives. OBJECTIVE: To describe the minigrant approach used by state health departments implementing the Centers for Disease Control and Prevention's (CDC's) Building Resilience Against Climate Effects (BRACE) framework, to highlight successes of this approach in promoting climate change preparedness at LHDs, and to describe challenges encountered. DESIGN: Cross-sectional survey and discussion. INTERVENTION: State-level recipients of CDC funding issued minigrants to local public health entities to promote climate change preparedness, adaptation, and resilience. MAIN OUTCOME MEASURES: The amount of funding, number of LHDs funded per state, goals, selection process, evaluation process, outcomes, successes, and challenges of the minigrant programs. RESULTS: Six state-level recipients of CDC funding for BRACE framework implementation awarded minigrants ranging from $7700 to $28 500 per year to 44 unique local jurisdictions. Common goals of the minigrants included capacity building, forging partnerships with entities outside of health departments, incorporating climate change information into existing programs, and developing adaptation plans. Recipients of minigrants reported increases in knowledge, engagement with diverse stakeholders, and the incorporation of climate change content into existing programs. Challenges included addressing climate change in regions where the topic is politically sensitive, as well as the uncertainty about the long-term sustainability of local projects beyond the term of minigrant support. CONCLUSIONS: Minigrants can increase local public health capacity to address climate change. Jurisdictions that wish to utilize minigrant mechanisms to promote climate change adaptation and preparedness at the local level may benefit from the experience of the 6 states and 44 local health programs described.
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Jung, J., Uejio, C. K., & Duclos, C. J., M. (2019). Using web data to improve surveillance for heat sensitive health outcomes. Environ Health, 18, 59.
Abstract: Elevated and prolonged exposure to extreme heat is an important cause of excess summertime mortality and morbidity. To protect people from health threats, some governments are currently operating syndromic surveillance systems. However, A lack of resources to support time- and labor- intensive diagnostic and reporting processes make it difficult establishing region-specific surveillance systems. Big data created by social media and web search may improve upon the current syndromic surveillance systems by directly capturing people's individual and subjective thoughts and feelings during heat waves. This study aims to investigate the relationship between heat-related web searches, social media messages, and heat-related health outcomes. METHODS: We collected Twitter messages that mentioned "air conditioning (AC)" and "heat" and Google search data that included weather, medical, recreational, and adaptation information from May 7 to November 3, 2014, focusing on the state of Florida, U.S. We separately associated web data against two different sources of health outcomes (emergency department (ED) and hospital admissions) and five disease categories (cardiovascular disease, dehydration, heat-related illness, renal disease, and respiratory disease). Seasonal and subseasonal temporal cycles were controlled using autoregressive moving average-generalized autoregressive conditional heteroscedasticity (ARMA-GARCH) and generalized linear model (GLM). RESULTS: The results show that the number of heat-related illness and dehydration cases exhibited a significant positive relationship with web data. Specifically, heat-related illness cases showed positive associations with messages (heat, AC) and web searches (drink, heat stroke, park, swim, and tired). In addition, terms such as park, pool, swim, and water tended to show a consistent positive relationship with dehydration cases. However, we found inconsistent relationships between renal illness and web data. Web data also did not improve the models for cardiovascular and respiratory illness cases. CONCLUSIONS: Our findings suggest web data created by social medias and search engines could improve the current syndromic surveillance systems. In particular, heat-related illness and dehydration cases were positively related with web data. This paper also shows that activity patterns for reducing heat stress are associated with several health outcomes. Based on the results, we believe web data could benefit both regions without the systems and persistently hot and humid climates where excess heat early warning systems may be less effective.
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Jung, J., Uejio, C. K., Duclos, C., & Jordan, M. (2019). Using web data to improve surveillance for heat sensitive health outcomes. Environ Health, 18.
Abstract: BACKGROUND: Elevated and prolonged exposure to extreme heat is an important cause of excess summertime mortality and morbidity. To protect people from health threats, some governments are currently operating syndromic surveillance systems. However, A lack of resources to support time- and labor- intensive diagnostic and reporting processes make it difficult establishing region-specific surveillance systems. Big data created by social media and web search may improve upon the current syndromic surveillance systems by directly capturing people's individual and subjective thoughts and feelings during heat waves. This study aims to investigate the relationship between heat-related web searches, social media messages, and heat-related health outcomes. METHODS: We collected Twitter messages that mentioned "air conditioning (AC)" and "heat" and Google search data that included weather, medical, recreational, and adaptation information from May 7 to November 3, 2014, focusing on the state of Florida, U.S. We separately associated web data against two different sources of health outcomes (emergency department (ED) and hospital admissions) and five disease categories (cardiovascular disease, dehydration, heat-related illness, renal disease, and respiratory disease). Seasonal and subseasonal temporal cycles were controlled using autoregressive moving average-generalized autoregressive conditional heteroscedasticity (ARMA-GARCH) and generalized linear model (GLM). RESULTS: The results show that the number of heat-related illness and dehydration cases exhibited a significant positive relationship with web data. Specifically, heat-related illness cases showed positive associations with messages (heat, AC) and web searches (drink, heat stroke, park, swim, and tired). In addition, terms such as park, pool, swim, and water tended to show a consistent positive relationship with dehydration cases. However, we found inconsistent relationships between renal illness and web data. Web data also did not improve the models for cardiovascular and respiratory illness cases. CONCLUSIONS: Our findings suggest web data created by social medias and search engines could improve the current syndromic surveillance systems. In particular, heat-related illness and dehydration cases were positively related with web data. This paper also shows that activity patterns for reducing heat stress are associated with several health outcomes. Based on the results, we believe web data could benefit both regions without the systems and persistently hot and humid climates where excess heat early warning systems may be less effective.
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Laureano-Rosario, A. E., Garcia-Rejon, J. E., Gomez-Carro, S., Farfan-Ale, J. A., & Muller-Karger, F. E. (2017). Modelling dengue fever risk in the State of Yucatan, Mexico using regional-scale satellite-derived sea surface temperature. Acta Tropica, 172, 50–57.
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Li, Y., Henze, D. K., Jack, D., Henderson, B. H., & Kinney, P. L. (2016). Assessing public health burden associated with exposure to ambient black carbon in the United States. Science of The Total Environment, 539, 515–525.
Abstract: Black carbon (BC) is a significant component of fine particulate matter (PM2.5) air pollution, which has been linked to a series of adverse health effects, in particular premature mortality. Recent scientific research indicates that BC also plays an important role in climate change. Therefore, controlling black carbon emissions provides an opportunity for a double dividend. This study quantifies the national burden of mortality and morbidity attributable to exposure to ambient BC in the United States (US). We use GEOS-Chem, a global 3-D model of atmospheric composition to estimate the 2010 annual average BC levels at 0.5 x 0.667 degrees resolution, and then re-grid to 12-km grid resolution across the continental US. Using PM2.5 mortality risk coefficient drawn from the American Cancer Society cohort study, the numbers of deaths due to BC exposure were estimated for each 12-km grid, and then aggregated to the county, state and national level. Given evidence that BC particles may pose a greater risk on human health than other components of PM2.5, we also conducted sensitivity analysis using BC-specific risk coefficients drawn from recent literature. We estimated approximately 14,000 deaths to result from the 2010 BC levels, and hundreds of thousands of illness cases, ranging from hospitalizations and emergency department visits to minor respiratory symptoms. Sensitivity analysis indicates that the total BC-related mortality could be even significantly larger than the above mortality estimate. Our findings indicate that controlling BC emissions would have substantial benefits for public health in the US.
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Marinucci, G., Luber, G., Uejio, C., Saha, S., & Hess, J. (2014). Building Resilience against Climate Effects--A Novel Framework to Facilitate Climate Readiness in Public Health Agencies. Ijerph, 11(6), 6433–6458.
Abstract: Climate change is anticipated to have several adverse health impacts. Managing these risks to public health requires an iterative approach. As with many risk management strategies related to climate change, using modeling to project impacts, engaging a wide range of stakeholders, and regularly updating models and risk management plans with new information—hallmarks of adaptive management—are considered central tenets of effective public health adaptation. The Centers for Disease Control and Prevention has developed a framework, entitled Building Resilience Against Climate Effects, or BRACE, to facilitate this process for public health agencies. Its five steps are laid out here. Following the steps laid out in BRACE will enable an agency to use the best available science to project likely climate change health impacts in a given jurisdiction and prioritize interventions. Adopting BRACE will also reinforce public health’s established commitment to evidence-based practice and institutional learning, both of which will be central to successfully engaging the significant new challenges that climate change presents.
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McCarthy, M. J., Colna, K. E., El-Mezayen, M. M., Laureano-Rosario, A. E., Méndez-Lázaro, P., Otis, D. B., et al. (2017). Satellite Remote Sensing for Coastal Management: A Review of Successful Applications. Environmental Management, 60(2), 323–339.
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Shultz, J. M., Kossin, J. P., & Galea, S. (2018). The Need to Integrate Climate Science Into Public Health Preparedness for Hurricanes and Tropical Cyclones. JAMA, 320(16), 1637–1638.
Abstract: September is often a busy month for global tropical activity, but there has been a changing scenario in recent years. The warming planet is likely to be influencing the characteristics and behavior of extreme storms.1 At the same time, public health preparedness is not keeping pace with advancing climate science knowledge about how tropical storm systems are changing and potentially becoming more dangerous.1 A closer integration of climate science with public health planning and response will be essential to mitigate the worsening health consequences of future extreme storms.
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Shultz, J. M., Rechkemmer, A., Rai, A., & McManus, K. T. (2019). Public Health and Mental Health Implications of Environmentally Induced Forced Migration. Disaster Med Public Health Prep, 13(2), 116–122.
Abstract: Climate change is increasingly forcing population displacement, better described by the phrase environmentally induced forced migration. Rising global temperatures, rising sea levels, increasing frequency and severity of natural disasters, and progressive depletion of life-sustaining resources are among the drivers that stimulate population mobility. Projections forecast that current trends will rapidly accelerate. This will lead to an estimated 200 million climate migrants by the year 2050 and create dangerous tipping points for public health and security.Among the public health consequences of climate change, environmentally induced forced migration is one of the harshest and most harmful outcomes, always involving a multiplicity of profound resource and social losses and frequently exposing migrants to trauma and violence. Therefore, one particular aspect of forced migration, the effects of population displacement on mental health and psychosocial functioning, deserves dedicated focus. Multiple case examples are provided to elucidate this theme. (Disaster Med Public Health Preparedness. 2019;13:116-122).
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Sikder, A. H. M. K., & Mozumder, P. (2020). Risk Perceptions and Adaptation to Climate Change and Sea-Level Rise: Insights from General Public Opinion Survey in Florida. Journal of Water Resources Planning Management, 146(3).
Abstract: The Everglades is a unique ecosystem in Florida that offers a variety of ecosystem services (ES), including water supply and flood risk reduction, water purification, habitats for several endemic species, and recreational opportunities. Therefore, the ramifications of climate change, an imminent threat to the Everglades ecosystem, are going to affect these ecosystem services drastically. The climate-induced changes to the ecosystem services are going to affect people�s lives and livelihoods in the region. Thus, understanding public perception and preferences is an important step in addressing the impending risk. In this study, we used an online survey to assess residents� perceptions about the risk of climate change and their views on mitigating potential consequences. We find that people�s perceptions and preferences are shaped by their level of education, age, participation in outdoor recreational activities, and elevation and distance from the shoreline of their residential location from the mean sea-level. In general, people who are concerned about the flooding risk and people who tend to prioritize environmental conservation are more likely to agree with the potential impacts of climate change and sea-level rise and more likely to support proposed measures for adaptation. We discuss the policy implications for developing socially acceptable plans based on the findings regarding people�s perception and preferences for adaptation in this region.
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Uejio, C. K., Yale, S. H., Malecki, K., Borchardt, M. A., Anderson, H. A., & Patz, J. A. (2014). Drinking Water Systems, Hydrology, and Childhood Gastrointestinal Illness in Central and Northern Wisconsin. Am J Public Health, 104(4), 639–646.
Abstract: Objectives. This study investigated if the type of drinking water source (treated municipal, untreated municipal, and private well water) modifies the effect of hydrology on childhood (aged < 5 years) gastrointestinal illness.
Methods. We conducted a time series study to assess the relationship between hydrologic and weather conditions with childhood gastrointestinal illness from 1991 to 2010. The Central and Northern Wisconsin study area includes households using all 3 types of drinking water systems. Separate time series models were created for each system and half-year period (winter/spring, summer/fall).
Results. More precipitation (summer/fall) systematically increased childhood gastrointestinal illness in municipalities accessing untreated water. The relative risk of contracting gastrointestinal illness was 1.4 in weeks with 3 centimeters of precipitation and 2.4 in very wet weeks with 12 centimeters of precipitation. By contrast, gastrointestinal illness in private well and treated municipal areas was not influenced by hydrologic conditions, although warmer winter temperatures slightly increased incidence.
Conclusions. Our study suggests that improved drinking water protection, treatment, and delivery infrastructure may improve public health by specifically identifying municipal water systems lacking water treatment that may transmit waterborne disease.
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