Forecasting daily total pollen concentrations on a global scale.

BACKGROUND: There is evidence that global anthropogenic climate change may be impacting floral phenology and the temporal and spatial characteristics of aero-allergenic pollen. Given the extent of current and future climate uncertainty, there is a need to strengthen predictive pollen forecasts. METHODS: The study aims to use CatBoost (CB) and deep learning (DL) models for predicting the daily total pollen concentration up to 14 days in advance for 23 cities, covering all five continents. The model includes the projected environmental parameters, recent concentrations (1, 2 and 4 weeks), and the past environmental explanatory variables, and their future values. RESULTS: The best pollen forecasts include Mexico City (R2(DL_7) ≈ .7), and Santiago (R2(DL_7) ≈ .8) for the 7th forecast day, respectively; while the weakest pollen forecasts are made for Brisbane (R2(DL_7) ≈ .4) and Seoul (R2(DL_7) ≈ .1) for the 7th forecast day. The global order of the five most important environmental variables in determining the daily total pollen concentrations is, in decreasing order: the past daily total pollen concentration, future 2 m temperature, past 2 m temperature, past soil temperature in 28-100 cm depth, and past soil temperature in 0-7 cm depth. City-related clusters of the most similar distribution of feature importance values of the environmental variables only slightly change on consecutive forecast days for Caxias do Sul, Cape Town, Brisbane, and Mexico City, while they often change for Sydney, Santiago, and Busan. CONCLUSIONS: This new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts.

Public Health Preparedness for Extreme Heat Events.

Heat is a dangerous hazard that causes acute heat illness, chronic disease exacerbations, adverse pregnancy outcomes, and a range of injuries. Risks are highest during extreme heat events (EHEs), which challenge the capacity of health systems and other critical infrastructure. EHEs are becoming more frequent and severe, and climate change is driving an increasing proportion of heat-related mortality, necessitating more investment in health protection. Climate-resilient health systems are better positioned for EHEs, and EHE preparedness is a form of disaster risk reduction. Preparedness activities commonly take the form of heat action plans (HAPs), with many examples at various administrative scales. HAP activities can be divided into primary prevention, most important in the pre-event phase; secondary prevention, key to risk reduction early in an EHE;and tertiary prevention, important later in the event phase. After-action reports and other postevent evaluation activities are central to adaptive management of this climate-sensitive hazard.

Planning to Reduce the Health Impacts of Extreme Heat: A Content Analysis of Heat Action Plans in Local United States Jurisdictions.

Objectives. To examine commonalities and gaps in the content of local US heat action plans (HAPs) designed to decrease the adverse health effects of extreme heat. Methods. We used content analysis to identify common strategies and gaps in extreme heat preparedness among written HAPs in the United States from jurisdictions that serve municipalities with more than 200 000 residents. We reviewed, coded, and analyzed plans to assess the prevalence of key components and strategies. Results. All 21 plans evaluated incorporated data on activation triggers, heat health messaging and risk communication, cooling centers, surveillance activities, and agency coordination, and 95% incorporated information on outreach to at-risk populations. Gaps existed in the specific applications of these broad strategies. Conclusions. Practice-based recommendations as well as future areas of research should focus on increasing targeted strategies for at-risk individuals and expanding the use of surveillance data outside of situational awareness. (Am J Public Health. 2023;113(5):559-567. https://doi.org/10.2105/AJPH.2022.307217).

A novel climate and health decision support platform: Approach, outputs, and policy considerations.

BACKGROUND: The adverse health impacts of climate change are increasingly apparent and the need for adaptation activities is pressing. Risks, drivers, and decision contexts vary significantly by location, and high-resolution, place-based information is needed to support decision analysis and risk reduction efforts at scale. METHODS: Using the Intergovernmental Panel on Climate Change (IPCC) risk framework, we developed a causal pathway linking heat with a composite outcome of heat-related morbidity and mortality. We used an existing systematic literature review to identify variables for inclusion and the authors' expert judgment to determine variable combinations in a hierarchical model. We parameterized the model for Washington state using observational (1991-2020 and June 2021 extreme heat event) and scenario-driven temperature projections (2036-2065), compared outputs against relevant existing indices, and analyzed sensitivity to model structure and variable parameterization. We used descriptive statistics, maps, visualizations and correlation analyses to present results. RESULTS: The Climate and Health Risk Tool (CHaRT) heat risk model contains 25 primary hazard, exposure, and vulnerability variables and multiple levels of variable combinations. The model estimates population-weighted and unweighted heat health risk for selected periods and displays estimates on an online visualization platform. Population-weighted risk is historically moderate and primarily limited by hazard, increasing significantly during extreme heat events. Unweighted risk is helpful in identifying lower population areas that have high vulnerability and hazard. Model vulnerability correlate well with existing vulnerability and environmental justice indices. DISCUSSION: The tool provides location-specific insights into risk drivers and prioritization of risk reduction interventions including population-specific behavioral interventions and built environment modifications. Insights from causal pathways linking climate-sensitive hazards and adverse health impacts can be used to generate hazard-specific models to support adaptation planning.

Barriers and facilitators to state public health agency climate and health action: a qualitative assessment.

BACKGROUND: As the health implications of climate change become more apparent, agencies and institutions across the United States are developing recommendations for state and territorial health agencies (S/THAs) to implement evidence-informed climate and health adaptation strategies. The CDC established the Building Resilience Against Climate Effects (BRACE) framework in 2010 to encourage local and state public health engagement in climate change adaptation. However, even after a decade of the BRACE initiative, the elements that affect the adoption and implementation of climate and health programming by S/THAs are not well understood. METHODS: Using an implementation science framework, this study sought to further understand and define the barriers and facilitators that determine the breadth and success of climate change and health activities undertaken by state health agencies (SHAs). We conducted focus groups with representatives from SHAs with and without climate and health programs, and analyzed data using the framework method for qualitative research. RESULTS: This study identified funding, state and agency-level prioritization, staff capability and capacity, and political will and polarization as factors that influence the readiness for implementation and implementation climate for climate and health activities. CONCLUSIONS: As the impacts of climate change intensify, S/THAs will need to expand resources and capacity, and seek advocacy and assistance from external organizations in order to support the level of engagement required to strengthen climate resilience. Findings from this study have implications for public health policy and highlight potential pathways to expand support for climate and health activities in S/THAs in the U.S.

Survey of extreme heat public health preparedness plans and response activities in the most populous jurisdictions in the United States.

BACKGROUND: Increasingly frequent and intense extreme heat events (EHEs) are indicative of climate change impacts, and urban areas' social and built environments increase their risk for health consequences. Heat action plans (HAPs) are a strategy to bolster municipal EHE preparedness. The objective of this research is to characterize municipal interventions to EHEs and compare U.S. jurisdictions with and without formal heat action plans. METHODS: An online survey was sent to 99 U.S. jurisdictions with populations > 200,000 between September 2021 and January 2022. Summary statistics were calculated to describe the proportion of total jurisdictions, as well as jurisdictions with and without HAPs and in different geographies that reported engagement in extreme heat preparedness and response activities. RESULTS: Thirty-eight (38.4%) jurisdictions responded to the survey. Of those respondents, twenty-three (60.5%) reported the development of a HAP, of which 22 (95.7%) reported plans for opening cooling centers. All respondents reported conducting heat-related risk communications; however, communication approaches focused on passive, technology-dependent mechanisms. While 75.7% of jurisdictions reported having developed a definition for an EHE, less than two-thirds of responding jurisdictions reported any of the following activities: conducting heat-related surveillance (61.1%), implementing provisions for power outages (53.1%), increasing access to fans or air conditioners (48.4%), developing heat vulnerability maps (43.2%), or evaluating activities (34.2%). There were only two statistically significant (p ≥ .05) differences in the prevalence of heat-related activities between jurisdictions with and without a written HAP, possibly attributable to a relatively small sample size: surveillance and having a definition of extreme heat. CONCLUSIONS: Jurisdictions can strengthen their extreme heat preparedness by expanding their consideration of at-risk populations to include communities of color, conducting formal evaluations of their responses, and by bridging the gap between the populations determined to be most at-risk and the channels of communication designed to reach them.

Climate Change Adaptation Activities and Needs in US State and Territorial Health Agencies.

OBJECTIVE: To characterize US State and Territorial Health Agencies' (S/THA) climate change adaptation activities and priorities to facilitate appropriate investments, skills development, and support that will strengthen health sector capacity in response to a changing climate. DESIGN: In 2021, we conducted an online survey of S/THA staff requesting information on current activities related to climate change and health, the state of climate and health programming, and anticipated needs and priorities for assistance. We analyzed survey results using descriptive statistics. SETTING: US State and Territorial Health Agencies. PARTICIPANTS: We received responses from 41 of 59 S/THAs (69.5%). MAIN OUTCOME MEASURES: Implementation of S/THA climate and health programs (CHPs); engagement in climate and health activities; maintenance of hazard early warning systems and action plans; employment of climate and health communications strategies; capability to assess risks and adaptation needs related to various climate-sensitive conditions; priorities and plans for climate change adaptation in relation to climate-sensitive health risks; climate change adaptation-related partnerships and collaborations; requests of the Association of State and Territorial Health Officials (ASTHO) for advancing climate change adaptation activities; and the impacts of the COVID-19 pandemic on climate change work. RESULTS: Nineteen S/THAs reported having CHPs, the majority of which are federally funded. On average, S/THAs without CHPs reported engagement in fewer climate and health activities and more early warning activities. The S/THAs reported the highest levels of concerns regarding non-vector-borne infectious disease (66%), vector-borne infectious diseases (61%), and extreme heat (61%) hazards. CONCLUSIONS: As S/THAs with CHPs report substantially greater climate and health capacity than those without, additional federal and state investments (eg, Building Resilience Against Climate Effects [BRACE]) are urgently needed to catalyze climate and health capacity.

Short term physician visits and medication prescriptions for allergic disease associated with seasonal tree, grass, and weed pollen exposure across the United States.

BACKGROUND: While year-round exposure to pollen is linked to a large burden of allergic diseases, location-specific risk information on pollen types and allergy outcomes are limited. We characterize the relationship between acute exposure to tree, grass and weed pollen taxa and two allergy outcomes (allergic rhinitis physician visit and prescription allergy medication fill) across 28 metropolitan statistical areas (MSA) in the United States. METHODS: We obtained daily pollen data from National Allergy Bureau (NAB) monitors at these 28 MSAs for 2008-2015. We revised the NAB guidelines to classify taxa-specific pollen severity each day. Daily information on allergic rhinitis and prescribed allergy medications for individuals with employer-based health insurance from the IBM MarketScan Research database for these MSAs. We combined the daily pollen and health data for each MSA into a longitudinal dataset. We conducted a MSA-specific conditional quasi-Poisson regression analysis to assess how different levels of pollen concentration impact the health outcomes, controlling for local air pollution, meteorology and Influenza-like illness (ILI). We used a random effects meta-analysis to produce an overall risk estimate for each pollen type and health outcome. RESULTS: The seasonal distribution of pollen taxa and associated health impacts varied across the MSAs. Relative risk of allergic rhinitis visits increased as concentrations increased for all pollen types; relative risk of medication fills increased for tree and weed pollen only. We observed an increase in health risk even on days with moderate levels of pollen concentration. 7-day average concentration of pollen had stronger association with the health outcomes compared to the same-day measure. Controlling for air pollution and ILI had little impact on effect estimates. CONCLUSION: This analysis expands the catalogue of associations between different pollen taxa and allergy-related outcomes across multiple MSAs. The effect estimates we present can be used to project the burden of allergic disease in specific locations in the future as well inform patients with allergies on impending pollen exposure.

Indicators to Guide and Monitor Climate Change Adaptation in the US Pacific Northwest.

Objectives. To develop a set of indicators to guide and monitor climate change adaptation in US state and local health departments.Methods. We performed a narrative review of literature on indicators of climate change adaptation and public health service capacity, mapped the findings onto activities grouped by the Centers for Disease Control and Prevention's Ten Essential Services, and drafted potential indicators to discuss with practitioners. We then refined the indicators after key informant interviews with 17 health department officials in the US Pacific Northwest in fall 2018.Results. Informants identified a need for clarity regarding state and local public health's role in climate change adaptation, integration of adaptation into existing programs, and strengthening of communication, partnerships, and response capacity to increase resilience. We propose a set of climate change indicators applicable for state and local health departments.Conclusions. With additional context-specific refinement, the proposed indicators can aid agencies in tracking adaptation efforts. The generalizability, robustness, and relevance of the proposed indicators should be explored in other settings with a broader set of stakeholders.

Preparing the next generation of health professionals to tackle climate change: Are China's medical students ready?

BACKGROUND: Climate change is the biggest global health threat of the 21st century. Medical students will lead the health sector responses and adaptation efforts in the near future, yet little is known in China about their knowledge, perceptions and preparedness to meet these challenges. METHODS: A nationwide study was conducted at five medical universities across different regions of China using a two-stage stratified cluster sampling design. A self-administered questionnaire was applied to collect the information including perception, preparedness and educational needs in response to climate change. The data were first analyzed descriptively, then chi-square tests and kruskal wallis tests were applied to determined differences among subgroups, and logistic regression analysis were deployed to detect the socio-demographic factors influencing student's perception. RESULTS: A total of 1436 medical students were approached and 1387 participated in the study (96.6% response rate). Most students were aware of the health impacts because of climate change, with over 90% perceived air quality-related and heat-related illness, while only a small part identified undernutrition and mental health. Approximately 90% embraced their role in tackling climate change, but 50% reported themselves and the health sectors were not adequately prepared. Compared to clinical students, preventive medicine students were more likely to perceive their responsibility to address climate change (OR:1.36, 95% CI: 1.04, 1.78). Also, 80% students admitted insufficient information and knowledge on climate change and health. Most students agreed that climate change and its health impacts should be included into their current curriculum. CONCLUSIONS: Medical students in China were aware of climate change and felt responsible, but were not ready to make responses to its health impacts. Educational efforts should reinforce eco-medical literacy development and capacity building in the era of climate change.

Paediatric window falls and interannual temperature variability in the Seattle metro area.

We explore whether the timing and burden of paediatric window fall injuries in the Seattle area have changed with higher temperatures and increased air conditioning (AC) prevalence. Using hospital trauma registry records from 2005 to 2017, along with population estimates from the National Center for Health Statistics, we calculate trauma incidence rates from paediatric window falls. Using local temperature data, we explore the relationship between temperature increases over time and the seasonality and rate of incidents. Window falls are a substantial cause of injury among children, with an annual trauma incidence rate among children age 0-8 of 10.4 per 100 000 boys and 5.9 per 100 000 girls in our sample. We find a mildly positive trend in the crude rate of window falls over the study period, increasing further when a population-level adjustment for AC prevalence is included. We do not find evidence of earlier injury timing during the calendar year.

Pollen calendars and maps of allergenic pollen in North America.

Pollen is a common allergen that causes significant health and financial impacts on up to a third of the population of the USA. Knowledge of the main pollen season can improve diagnosis and treatment of allergic diseases. Our objective in this study is to provide clear, quantitative visualizations of pollen data and make information accessible to many disciplines, in particular to allergy sufferers and those in the health field. We use data from 31 National Allergy Bureau (NAB) pollen stations in the continental USA and Canada from 2003 to 2017 to produce pollen calendars. We present pollen season metrics relevant to health and describe main pollen season start and end dates, durations, and annual pollen integrals for specific pollen taxa. In most locations, a small number of taxa constitute the bulk of the total pollen concentration. Start dates for tree and grass pollen season depend strongly on latitude, with earlier start dates at lower latitudes. Season duration is correlated with the start dates, such that locations with earlier start dates have a longer season. NAB pollen data have limited spatiotemporal coverage. Increased spatiotemporal monitoring will improve analysis and understanding of factors that govern airborne pollen concentrations.

The past and future in understanding the health risks of and responses to climate variability and change.

Climate change and health was established as a formal field of endeavor in the early 1990s, with the number of publications increasing since the mid-2000s. The key findings in assessment reports from the Intergovernmental Panel on Climate Change in 1995, 2001, 2007, and 2014 indicate the progress in understanding the magnitude and pattern of the health risks of a changing climate. The assessments maintained a similar structure, focusing on assessing the state of knowledge of individual climate-sensitive health outcomes, with confidence in the key findings tending to increase over time with greater understanding. The knowledge base is smaller than for other key sectors (e.g., agriculture) because of limited research investment in climate change and health. Vulnerability, adaptation, and capacity assessments can inform prioritization of the significant research gaps in understanding and managing the health risks of a changing climate; filling these research gaps would provide policy- and decision-makers with insights to increase short- and longer-term resilience in health and other sectors. Research needs include to understand how climate and development pathways could interact to alter health risks over time, better understand upstream drivers of climate-sensitive health outcomes, project aggregate health impacts to understand the breadth and depth of challenges that may need to be managed at geographic scales of interest, and project the time of emergence of changes in the geographic range and intensity of transmission of infectious diseases and other climate conditions. Engagement with other sectors is needed to ensure that their mitigation and adaptation activities also promote and protect health and take the health sector's needs into account. Making progress in these areas is critical for protecting the health of future populations.