Public health departments have important roles to play in addressing the local health impacts of climate change, yet are often not well prepared to do so. The Climate and Health Program (CHP) at the Centers for Disease Control and Prevention (CDC) created the Building Resilience Against Climate Effects (BRACE) framework in 2012 as a five-step planning framework to support public health departments and their partners to respond to the health impacts of climate change. CHP has initiated a process to revise the framework to address learnings from a decade of experience with BRACE and advances in the science and practice of addressing climate and health. The aim of this manuscript is to describe the methodology for revising the BRACE framework and the expected outputs of this process. Development of the revised framework and associated guidance and tools will be guided by a multi-sector expert panel, and finalization will be informed by usability testing. Planned revisions to BRACE will (1) be consistent with the vision of Public Health 3.0 and position health departments as "chief health strategists" in their communities, who are responsible for facilitating the establishment and maintenance of cross-sector collaborations with community organizations, other partners, and other government agencies to address local climate impacts and prevent further harm to historically underserved communities; (2) place health equity as a central, guiding tenet; (3) incorporate greenhouse gas mitigation strategies, in addition to its previous focus on climate adaptation; and (4) feature a new set of tools to support BRACE implementation among a diverse set of users. The revised BRACE framework and the associated tools will support public health departments and their partners as they strive to prevent and reduce the negative health impacts of climate change for everyone, while focusing on improving health equity.

Introduction: Environmental heat can have a negative impact on health, leading to increased healthcare utilization, disability, and death. Specific clinical conditions, in combination with a global rise in temperature, may amplify the risk of heat related illnesses. Materials and Methods: We conducted a retrospective analysis of VA's national electronic health record database from January 1, 2002, through December 31, 2019. Heat related illness diagnoses were assessed for associations with patient demographics, comorbidities, and geographic residence at the time of a heat related illness diagnosis. Descriptive statistics, linear regression, and additive seasonal decomposition methods were utilized to assess risk factors and trends. Results: There were 33,114 documented cases of heat related illness, which impacted 28,039 unique patients, during our 18 year assessment period. Veterans were diagnosed with heat related illnesses in all 50 US states and there was an increase in the rate over time. The likelihood of heat related illnesses was greater for those with increased comorbidity burden. Rates increased for homeless Veterans in the first half of the assessment period, and then declined for the second half. Black, as well as American Indian/Alaska Native Veterans accounted for a greater proportion of heat related illnesses. Conclusion: There has been a statistically significant and clinically important increase in the incidence of heat related illnesses over time. There has also been an increased number of heat related diagnoses associated with existing health and demographic factors, and the increase over time did not strictly follow the expected geographic North-South climate trends. © 2023

PURPOSE OF REVIEW: This review discusses climate change-related impacts on asthma and allergic-immunologic disease, relevant US public health efforts, and healthcare professional resources. RECENT FINDINGS: Climate change can impact people with asthma and allergic-immunologic disease through various pathways, including increased exposure to asthma triggers (e.g., aeroallergens, ground-level ozone). Climate change-related disasters (e.g., wildfires, floods) disrupting healthcare access can complicate management of any allergic-immunologic disease. Climate change disproportionately affects some communities, which can exacerbate disparities in climate-sensitive diseases like asthma. Public health efforts include implementing a national strategic framework to help communities track, prevent, and respond to climate change-related health threats. Healthcare professionals can use resources or tools to help patients with asthma and allergic-immunologic disease prevent climate change-related health impacts. Climate change can affect people with asthma and allergic-immunologic disease and exacerbate health disparities. Resources and tools are available to help prevent climate change-related health impacts at the community and individual level.

Climate change is a public health emergency.1 Clinicians are increasingly managing patients with health problems related to climate change, including kidney failure and heat stroke from exposure to extreme heat and drought, and pulmonary cardiovascular events caused by air pollution and wildfires. However, relatively few health professionals know how to engage with patients on these issues.2 In a 2021 global survey of 4654 health professionals regarding climate change, 76% of participants recognised the need for continuing professional education, 72% desired knowledge regarding health-care sustainability, and 69% felt that effective communication skills were also needed.3 | | Immediate engagement and effective health-care and public health responses are required to reduce climate-driven effects on human health and wellbeing. Meeting this need will require clinicians to quickly acquire the knowledge and skills to address climate change effects in their practice. Efforts are underway to remedy this educational gap, particularly in health professional schools, but further action is needed.4

Extreme heat exposure increases the risk for heat-related illnesses (HRIs) and deaths, and comprehensive strategies to prevent HRIs are increasingly important in a warming climate (1). An estimated 702 HRI-associated deaths and 67,512 HRI-associated emergency department visits occur in the United States each year (2,3). In 2020, Phoenix and Yuma, Arizona, experienced a record 145 and 148 days, respectively, of temperatures >100°F (37.8°C), and a record 522 heat-related deaths occurred in the state. HRIs are preventable through individual and community-based strategies*(,)(†); cooling centers,(§) typically air-conditioned or cooled buildings designated as sites to provide respite and safety during extreme heat, have been established in Maricopa and Yuma counties to reduce HRIs among at-risk populations, such as older adults. This analysis examined trends in HRIs by age during 2010-2020 for Maricopa and Yuma counties and data from a survey of older adults related to cooling center availability and use in Yuma County during 2018-2019. Data from CDC's Social Vulnerability Index (SVI) were also used to overlay cooling center locations with SVI scores. During 2010-2020, heat days, defined as days with an excessive heat warning issued by the National Weather Service Phoenix Office,(¶) for any part of Maricopa and Yuma counties (4), increased in both Maricopa County (1.18 days per year) and Yuma County (1.71 days per year) on average. Adults aged ≥65 years had higher rates of HRI hospitalization compared with those aged <65 years. In a survey of 39 adults aged ≥65 years in Yuma County, 44% reported recent HRI symptoms, and 18% reported electricity cost always or sometimes constrained their use of air conditioning. Barriers to cooling center access among older adults include awareness of location and transportation. Collaboration among diverse community sectors and health profession education programs is important to better prepare for rising heat exposure and HRIs. States and communities can implement adaptation and evaluation strategies to mitigate and assess heat risk, such as the use of cooling centers to protect communities disproportionately affected by HRI during periods of high temperatures.

Climate change is already affecting public health through pathways like pollen, air quality, wildfires, and precipitation extremes or temperature extremes.1,2 This Perspective highlights some climate change–related health impacts and US public health response activities affecting allergy-immunology.

BACKGROUND: Structural uncertainty can affect model-based economic simulation estimates and study conclusions. Unfortunately, unlike parameter uncertainty, relatively little is known about its magnitude of impact on life-years (LYs) and quality-adjusted life-years (QALYs) in modeling of diabetes. We leveraged the Mount Hood Diabetes Challenge Network, a biennial conference attended by international diabetes modeling groups, to assess structural uncertainty in simulating QALYs in type 2 diabetes simulation models. METHODS: Eleven type 2 diabetes simulation modeling groups participated in the 9th Mount Hood Diabetes Challenge. Modeling groups simulated 5 diabetes-related intervention profiles using predefined baseline characteristics and a standard utility value set for diabetes-related complications. LYs and QALYs were reported. Simulations were repeated using lower and upper limits of the 95% confidence intervals of utility inputs. Changes in LYs and QALYs from tested interventions were compared across models. Additional analyses were conducted postchallenge to investigate drivers of cross-model differences. RESULTS: Substantial cross-model variability in incremental LYs and QALYs was observed, particularly for HbA1c and body mass index (BMI) intervention profiles. For a 0.5%-point permanent HbA1c reduction, LY gains ranged from 0.050 to 0.750. For a 1-unit permanent BMI reduction, incremental QALYs varied from a small decrease in QALYs (-0.024) to an increase of 0.203. Changes in utility values of health states had a much smaller impact (to the hundredth of a decimal place) on incremental QALYs. Microsimulation models were found to generate a mean of 3.41 more LYs than cohort simulation models (P = 0.049). CONCLUSIONS: Variations in utility values contribute to a lesser extent than uncertainty captured as structural uncertainty. These findings reinforce the importance of assessing structural uncertainty thoroughly because the choice of model (or models) can influence study results, which can serve as evidence for resource allocation decisions.HighlightsThe findings indicate substantial cross-model variability in QALY predictions for a standardized set of simulation scenarios and is considerably larger than within model variability to alternative health state utility values (e.g., lower and upper limits of the 95% confidence intervals of utility inputs).There is a need to understand and assess structural uncertainty, as the choice of model to inform resource allocation decisions can matter more than the choice of health state utility values.

OBJECTIVE: To increase the knowledge and communication skills of health professionals related to climate change and human health (CCHH). METHODS: From February to April 2021, Project ECHO (Extension for Community Healthcare Outcomes) created an 8-week, synchronous and virtual, CCHH ECHO telementoring series for health professionals. Didactics, simulated cases, and climate change tools were used to educate the interprofessional group of participants. RESULTS: During this CCHH ECHO pilot series, 625 unique participants represented 45 US states and 25 countries. The participants reported that they increased their knowledge, skills, and communication techniques regarding climate change and health. CONCLUSIONS: The human health effects of climate change is an emerging field, and increasing knowledge and communication skills among health practitioners is of critical importance. The CCHH ECHO is one potential platform that may reach a diverse community of health professionals globally due to the diffusion and demonopolization of knowledge.

Climate impacts on human health are an urgent public health issue. The effects of climate change are clear. During the past several years, states and territories have wrestled with extreme temperatures, historic rains and flooding, and the worst wildfire and drought conditions ever recorded. These events have become more severe, more frequent, and more costly in recent years.1 | | State and territorial health agencies (S/THAs), as well as local and tribal health departments, must be prepared for the inevitability of climate-related impacts on human health. They can take direct action in areas where they have authority, and they can help influence other policy actions that protect health. While responsibility for setting and enforcing federal environmental policy largely falls to the US Environmental Protection Agency (EPA) and other federal agencies, state and local agencies can play a significant role in advancing policy. An example of such local authority is actions taken by state governments to move toward 100% clean energy.2–5 These actions have led to more far-reaching and ambitious regulations than those established by the federal government. S/THAs can continue to take similarly bold, progressive action and work toward mitigating impacts of a changing climate based on sound science and public health impact. In this column, we outline a technical package of capacity building and policy interventions for state and territorial health officials (S/THOs) to address the range of health impacts associated with climate change.

BACKGROUND: Previous research has shown airborne pollen concentrations and phenology in allergenic plants are changing. Additionally, variations in seasonal climate are known to affect pollen phenology in trees, weeds, and grasses. OBJECTIVE: We investigated localized trends in pollen concentrations and pollen phenology over time, and the effect of seasonal climate variations. METHODS: We used daily pollen count concentrations from a National Allergy Bureau (NAB) pollen counting station located in metropolitan Atlanta, Georgia, U.S. for 13 allergenic taxa. To examine long-term trends over time, we developed linear regression models for six pollen measures. To examine the effect of seasonal climate on phenology, we developed regression models using seasonal climate measures as independent variables, and pollen measures as dependent variables. RESULTS: For several tree pollen taxa, pollen concentrations increased over time, including oak and juniper pollen. In multiple species, pollen seasons trended toward an earlier release throughout the 27-year period. Variations in seasonal climate did have an effect on pollen counts and the timing of pollen release but varied by taxa. Generally, warmer spring temperatures were associated with an earlier pollen release. Additionally, precipitation from the preceding fall and winter were associated with increased pollen concentration in the spring months. CONCLUSION: Allergenic pollen concentrations for several types of pollen are increasing and trending toward an earlier pollen release in Atlanta, GA. Warmer temperatures preceding the pollen season were associated with the earlier pollen release.

Record high temperatures are occurring more frequently in the United States, and climate change is causing heat waves to become more intense (1), directly impacting human health, including heat-related illnesses and deaths. On average, approximately 700 heat-related deaths occur in the United States each year (2). In the northwestern United States, increasing temperatures are projected to cause significant adverse health effects in the coming years (3). During June 25-30, 2021, most of Oregon and Washington were under a National Weather Service excessive heat warning.* Hot conditions persisted in parts of Oregon, Washington, or Idaho through at least July 14, 2021. The record-breaking heat had the largest impact in Oregon and Washington, especially the Portland metropolitan area, with temperatures reaching 116°F (46.7°C), which is 42°F (5.6°C) hotter than the average daily maximum June temperature.

Climate and weather directly impact plant phenology, affecting airborne pollen. The objective of this systematic review is to examine the impacts of meteorological variables on airborne pollen concentrations and pollen season timing. Using PRISMA methodology, we reviewed literature that assessed whether there was a relationship between local temperature and precipitation and measured airborne pollen. The search strategy included terms related to pollen, trends or measurements, and season timing. For inclusion, studies must have conducted a correlation analysis of at least 5 years of airborne pollen data to local meteorological data and report quantitative results. Data from peer-reviewed articles were extracted on the correlations between seven pollen indicators (main pollen season start date, end date, peak date, and length, annual pollen integral, average daily pollen concentration, and peak pollen concentration), and two meteorological variables (temperature and precipitation). Ninety-three articles were included in the analysis out of 9,679 articles screened. Overall, warmer temperatures correlated with earlier and longer pollen seasons and higher pollen concentrations. Precipitation had varying effects on pollen concentration and pollen season timing indicators. Increased precipitation may have a short-term effect causing low pollen concentrations potentially due to "wash out" effect. Long-term effects of precipitation varied for trees and weeds and had a positive correlation with grass pollen levels. With increases in temperature due to climate change, pollen seasons for some taxa in some regions may start earlier, last longer, and be more intense, which may be associated with adverse health impacts, as pollen exposure has well-known health effects in sensitized individuals.

Climate change directly threatens human health, with substantial impacts on Indigenous peoples, who are uniquely vulnerable as climate-related events affect their practices, lifeways, self-determination, and physical and cultural health. At the same time, Indigenous communities are leading the way in innovative health-related climate change adaptation work, using traditional knowledges and novel approaches. In 2016 the Centers for Disease Control and Prevention and the National Indian Health Board created the Climate-Ready Tribes Initiative to support these efforts. The initiative has funded tribes, shared information nationally, and supported a learning cohort, resulting in pioneering work to protect health from climate hazards. We describe how two tribes-the Pala Band of Mission Indians and the Swinomish Indian Tribal Community-implemented their Climate-Ready Tribes Initiative projects, and we provide recommendations for making climate and health policy more effective for tribes. Lessons learned from the Climate-Ready Tribes Initiative can inform climate and health policy and practice nationwide.

The U.S. Global Change Research Program (USGCRP) Climate and Health Monitor and Outlook (CHMO) workshop convened 23 experts in climate and health from government and academia to understand how existing climate and health prediction systems for specific diseases, vectors, and pathogens are producing and sharing information for health decision-making. | | The principal goal of the workshop was to understand how a national, integrated climate and health outlook, focused on vector-borne diseases, could be developed to support public health decision-makers in managing health risks. The CHMO workshop enabled the group to incorporate lessons and information from the many existing disease prediction systems across the nation to discuss how to create a consistent national view of potential health impacts from predicted future climatic conditions. This workshop summary synthesizes our discussion, captures a table of datasets and products that the CHMO can draw upon to characterize important aspects of climate-sensitive disease risk, and suggests a set of next steps to achieve progress in predicting these risks.

PURPOSE OF REVIEW: Climate change has direct impacts on human health, but those impacts vary widely by location. Local health impacts depend on a large number of factors including specific regional climate impacts, demographics and human vulnerabilities, and existing local adaptation capacity. There is a need to incorporate local data and concerns into climate adaptation plans and evaluate different approaches. RECENT FINDINGS: The Centers for Disease Control and Prevention (CDC) has provided funding, technical assistance, and an adaptation framework to assist localities with climate planning and activities. The differing processes with which states, cities, and tribes develop and implement adaptation plans have been observed. We outline examples of the implementation of CDC's framework and activities for local adaptation, with a focus on case studies at differing jurisdictional levels (a state, a city, and a sovereign tribe). The use of local considerations and data are important to inform climate adaptation. The adaptable implementation of CDC's framework is helping communities protect health.

Objectives: The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes models in estimating hard outcomes in 2 recent cardiovascular outcomes trials (CVOTs) and whether recalibration can be used to improve replication. Methods: Participating groups were asked to reproduce the results of the Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients (EMPA-REG OUTCOME) and the Canagliflozin Cardiovascular Assessment Study (CANVAS) Program. Calibration was performed and additional analyses assessed model ability to replicate absolute event rates, hazard ratios (HRs), and the generalizability of calibration across CVOTs within a drug class. Results: Ten groups submitted results. Models underestimated treatment effects (ie, HRs) using uncalibrated models for both trials. Calibration to the placebo arm of EMPA-REG OUTCOME greatly improved the prediction of event rates in the placebo, but less so in the active comparator arm. Calibrating to both arms of EMPA-REG OUTCOME individually enabled replication of the observed outcomes. Using EMPA-REG OUTCOME–calibrated models to predict CANVAS Program outcomes was an improvement over uncalibrated models but failed to capture treatment effects adequately. Applying canagliflozin HRs directly provided the best fit. Conclusions: The Ninth Mount Hood Diabetes Challenge demonstrated that commonly used risk equations were generally unable to capture recent CVOT treatment effects but that calibration of the risk equations can improve predictive accuracy. Although calibration serves as a practical approach to improve predictive accuracy for CVOT outcomes, it does not extrapolate generally to other settings, time horizons, and comparators. New methods and/or new risk equations for capturing these CV benefits are needed.

Deaths attributable to natural heat exposure, although generally considered preventable (1), represent a continuing public health concern in the United States. During 2004-2018, an average of 702 heat-related deaths occurred in the United States annually. To study patterns in heat-related deaths by age group, sex, race/ethnicity, and level of urbanization, and to explore comorbid conditions associated with deaths resulting from heat exposure, CDC analyzed nationally comprehensive mortality data from the National Vital Statistics System (NVSS).* The rate of heat-related mortality tended to be higher among males, persons aged >/=65 years, non-Hispanic American Indian/Alaska Natives, and persons living in noncore nonmetropolitan and large central metropolitan counties. Natural heat exposure was a contributing cause of deaths attributed to certain chronic medical conditions and other external causes. Preparedness and response initiatives directed toward extreme heat events, currently underway at local, state, and national levels, can contribute to reducing morbidity and mortality associated with natural heat exposure. Successful public health interventions(dagger) to mitigate heat-related deaths include conducting outreach to vulnerable communities to increase awareness of heat-related symptoms and provide guidance for staying cool and hydrated, particularly for susceptible groups at risk such as young athletes and persons who are older or socially isolated (2). Improved coordination across various health care sectors could inform local activities to protect health during periods of high heat. For instance, jurisdictions can monitor weather conditions and syndromic surveillance data to guide timing of risk communication and other measures (e.g., developing and implementing heat response plans, facilitating communication and education activities) to prevent heat-related mortality in the United States. CDC also recommends that federal, state, local, and tribal jurisdictions open cooling centers or provide access to public locations with air conditioning for persons in need of a safe, cool, environment during hot weather conditions. In light of the coronavirus disease 2019 (COVID-19) pandemic, CDC updated its guidance on the use of cooling centers to provide best practices (e.g., potential changes to staffing procedures, separate areas for persons with symptoms of COVID-19, and physical distancing) to reduce the risk for introducing and transmitting SARS COV-2, the virus that causes COVID-19, into cooling centers.( section sign).

BACKGROUND: Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led to the development of scientific and regulatory approaches for evaluating bioactivity. This need is being addressed using high-throughput screening (HTS) in vitro approaches and computational modeling. OBJECTIVES: In support of the Endocrine Disruptor Screening Program, the U.S. Environmental Protection Agency (EPA) led two worldwide consortiums to virtually screen chemicals for their potential estrogenic and androgenic activities. Here, we describe the Collaborative Modeling Project for Androgen Receptor Activity (CoMPARA) efforts, which follows the steps of the Collaborative Estrogen Receptor Activity Prediction Project (CERAPP). METHODS: The CoMPARA list of screened chemicals built on CERAPP's list of 32,464 chemicals to include additional chemicals of interest, as well as simulated ToxCast metabolites, totaling 55,450 chemical structures. Computational toxicology scientists from 25 international groups contributed 91 predictive models for binding, agonist, and antagonist activity predictions. Models were underpinned by a common training set of 1,746 chemicals compiled from a combined data set of 11 ToxCast/Tox21 HTS in vitro assays. RESULTS: The resulting models were evaluated using curated literature data extracted from different sources. To overcome the limitations of single-model approaches, CoMPARA predictions were combined into consensus models that provided averaged predictive accuracy of approximately 80% for the evaluation set. DISCUSSION: The strengths and limitations of the consensus predictions were discussed with example chemicals; then, the models were implemented into the free and open-source OPERA application to enable screening of new chemicals with a defined applicability domain and accuracy assessment. This implementation was used to screen the entire EPA DSSTox database of approximately 875,000 chemicals, and their predicted AR activities have been made available on the EPA CompTox Chemicals dashboard and National Toxicology Program's Integrated Chemical Environment. https://doi.org/10.1289/EHP5580.

CONTEXT: Climate change poses a host of serious threats to human health that robust public health surveillance systems can help address. It is unknown, however, whether existing surveillance systems in the United States have adequate capacity to serve that role, nor what actions may be needed to develop adequate capacity. OBJECTIVE: Our goals were to review efforts to assess and strengthen the capacity of public health surveillance systems to support health-related adaptation to climate change in the United States and to determine whether additional efforts are warranted. METHODS: Building on frameworks issued by the Intergovernmental Panel on Climate Change and the Centers for Disease Control and Prevention, we specified 4 core components of public health surveillance capacity relevant to climate change health threats. Using standard methods, we next identified and analyzed multiple assessments of the existing, relevant capacity of public health surveillance systems as well as attempts to improve that capacity. We also received information from selected national public health associations. FINDINGS: Multiple federal, state, and local public health agencies, professional associations, and researchers have made valuable, initial efforts to assess and strengthen surveillance capacity. These efforts, however, have been made by entities working independently and without the benefit of a shared conceptual framework or strategy. Their principal focus has been on identifying suitable indicators and data sources largely to the exclusion of other core components of surveillance capacity. CONCLUSIONS: A more comprehensive and strategic approach is needed to build the public health surveillance capacity required to protect the health of Americans in a world of rapidly evolving climate change. Public health practitioners and policy makers at all levels can use the findings and issues reviewed in this article as they lead design and execution of a coordinated, multisector strategic plan to create and sustain that capacity.

The health and wellbeing of building occupants should be a key priority in the design, building, and operation of new and existing buildings. Buildings can be designed, renovated, and constructed to promote healthy environments and behaviors and mitigate adverse health outcomes. This paper highlights health in terms of the relationship between occupants and buildings, as well as the relationship of buildings to the community. In the context of larger systems, smart buildings and green infrastructure strategies serve to support public health goals. At the level of the individual building, interventions that promote health can also enhance indoor environmental quality (IEQ) and provide opportunities for physical activity. Navigating the various programs that use metrics to measure a building's health impacts reveals that there are multiple co-benefits of a "healthy building," including those related to the economy, environment, society, transportation, planning, and energy efficiency.

BACKGROUND: Motor vehicle crashes are a leading cause of injury mortality. Adverse weather and road conditions have the potential to affect the likelihood of motor vehicle fatalities through several pathways. However, there remains a dearth of assessments associating adverse weather conditions to fatal crashes in the United States. We assessed trends in motor vehicle fatalities associated with adverse weather and present spatial variation in fatality rates by state. METHODS: We analyzed the Fatality Analysis Reporting System (FARS) datasets from 1994 to 2012 produced by the National Highway Traffic Safety Administration (NHTSA) that contains reported weather information for each fatal crash. For each year, we estimated the fatal crashes that were associated with adverse weather conditions. We stratified these fatalities by months to examine seasonal patterns. We calculated state-specific rates using annual vehicle miles traveled data for all fatalities and for those related to adverse weather to examine spatial variations in fatality rates. To investigate the role of adverse weather as an independent risk factor for fatal crashes, we calculated odds ratios for known risk factors (e.g., alcohol and drug use, no restraint use, poor driving records, poor light conditions, highway driving) to be reported along with adverse weather. RESULTS: Total and adverse weather-related fatalities decreased over 1994-2012. Adverse weather-related fatalities constituted about 16 % of total fatalities on average over the study period. On average, 65 % of adverse weather-related fatalities happened between November and April, with rain/wet conditions more frequently reported than snow/icy conditions. The spatial distribution of fatalities associated with adverse weather by state was different than the distribution of total fatalities. Involvement of alcohol or drugs, no restraint use, and speeding were less likely to co-occur with fatalities during adverse weather conditions. CONCLUSIONS: While adverse weather is reported for a large number of motor vehicle fatalities for the US, the type of adverse weather and the rate of associated fatality vary geographically. These fatalities may be addressed and potentially prevented by modifying speed limits during inclement weather, improving road surfacing, ice and snow removal, and providing transit alternatives, but the impact of potential interventions requires further research.

BACKGROUND: Artemisinin-resistant Plasmodium falciparum has emerged in the Greater Mekong sub-region and poses a major global public health threat. Slow parasite clearance is a key clinical manifestation of reduced susceptibility to artemisinin. This study was designed to establish the baseline values for clearance in patients from Sub-Saharan African countries with uncomplicated malaria treated with artemisinin-based combination therapies (ACTs). METHODS: A literature review in PubMed was conducted in March 2013 to identify all prospective clinical trials (uncontrolled trials, controlled trials and randomized controlled trials), including ACTs conducted in Sub-Saharan Africa, between 1960 and 2012. Individual patient data from these studies were shared with the WorldWide Antimalarial Resistance Network (WWARN) and pooled using an a priori statistical analytical plan. Factors affecting early parasitological response were investigated using logistic regression with study sites fitted as a random effect. The risk of bias in included studies was evaluated based on study design, methodology and missing data. RESULTS: In total, 29,493 patients from 84 clinical trials were included in the analysis, treated with artemether-lumefantrine (n = 13,664), artesunate-amodiaquine (n = 11,337) and dihydroartemisinin-piperaquine (n = 4,492). The overall parasite clearance rate was rapid. The parasite positivity rate (PPR) decreased from 59.7 % (95 % CI: 54.5-64.9) on day 1 to 6.7 % (95 % CI: 4.8-8.7) on day 2 and 0.9 % (95 % CI: 0.5-1.2) on day 3. The 95th percentile of observed day 3 PPR was 5.3 %. Independent risk factors predictive of day 3 positivity were: high baseline parasitaemia (adjusted odds ratio (AOR) = 1.16 (95 % CI: 1.08-1.25); per 2-fold increase in parasite density, P <0.001); fever (>37.5 degreeC) (AOR = 1.50 (95 % CI: 1.06-2.13), P = 0.022); severe anaemia (AOR = 2.04 (95 % CI: 1.21-3.44), P = 0.008); areas of low/moderate transmission setting (AOR = 2.71 (95 % CI: 1.38-5.36), P = 0.004); and treatment with the loose formulation of artesunate-amodiaquine (AOR = 2.27 (95 % CI: 1.14-4.51), P = 0.020, compared to dihydroartemisinin-piperaquine). CONCLUSIONS: The three ACTs assessed in this analysis continue to achieve rapid early parasitological clearance across the sites assessed in Sub-Saharan Africa. A threshold of 5 % day 3 parasite positivity from a minimum sample size of 50 patients provides a more sensitive benchmark in Sub-Saharan Africa compared to the current recommended threshold of 10 % to trigger further investigation of artemisinin susceptibility.

Adequate clinical and parasitologic cure by artemisinin combination therapies relies on the artemisinin component and the partner drug. Polymorphisms in the Plasmodium falciparum chloroquine resistance transporter (pfcrt) and P. falciparum multidrug resistance 1 (pfmdr1) genes are associated with decreased sensitivity to amodiaquine and lumefantrine, but effects of these polymorphisms on therapeutic responses to artesunate-amodiaquine (ASAQ) and artemether-lumefantrine (AL) have not been clearly defined. Individual patient data from 31 clinical trials were harmonized and pooled by using standardized methods from the WorldWide Antimalarial Resistance Network. Data for more than 7,000 patients were analyzed to assess relationships between parasite polymorphisms in pfcrt and pfmdr1 and clinically relevant outcomes after treatment with AL or ASAQ. Presence of the pfmdr1 gene N86 (adjusted hazards ratio = 4.74, 95% confidence interval = 2.29 - 9.78, P < 0.001) and increased pfmdr1 copy number (adjusted hazards ratio = 6.52, 95% confidence interval = 2.36-17.97, P < 0.001: were significant independent risk factors for recrudescence in patients treated with AL. AL and ASAQ exerted opposing selective effects on single-nucleotide polymorphisms in pfcrt and pfmdr1. Monitoring selection and responding to emerging signs of drug resistance are critical tools for preserving efficacy of artemisinin combination therapies; determination of the prevalence of at least pfcrt K76T and pfmdr1 N86Y should now be routine.

OBJECTIVE: To determine the source and identify control measures of an outbreak of Tsukamurella species bloodstream infections at an outpatient oncology facility. DESIGN: Epidemiologic investigation of the outbreak with a case-control study. METHODS: A case was an infection in which Tsukamurella species was isolated from a blood or catheter tip culture during the period January 2011 through June 2012 from a patient of the oncology clinic. Laboratory records of area hospitals and patient charts were reviewed. A case-control study was conducted among clinic patients to identify risk factors for Tsukamurella species bloodstream infection. Clinic staff were interviewed, and infection control practices were assessed. RESULTS: Fifteen cases of Tsukamurella (Tsukamurella pulmonis or Tsukamurella tyrosinosolvens) bloodstream infection were identified, all in patients with underlying malignancy and indwelling central lines. The median age of case patients was 68 years; 47% were male. The only significant risk factor for infection was receipt of saline flush from the clinic during the period September-October 2011 (P = .03), when the clinic had been preparing saline flush from a common-source bag of saline. Other infection control deficiencies that were identified at the clinic included suboptimal procedures for central line access and preparation of chemotherapy. CONCLUSION: Although multiple infection control lapses were identified, the outbreak was likely caused by improper preparation of saline flush syringes by the clinic. The outbreak demonstrates that bloodstream infections among oncology patients can result from improper infection control practices and highlights the critical need for increased attention to and oversight of infection control in outpatient oncology settings.

Climate change has the potential to influence the earth's biological systems, however, its effects on human health are not well defined. Developing nations with limited resources are expected to face a host of health effects due to climate change, including vector-borne and water-borne diseases such as malaria, cholera, and dengue. This article reviews common and prevalent infectious diseases in India, their links to climate change, and how health care providers might discuss preventive health care strategies with their patients.

Climate change will likely have adverse human health effects that require federal agency involvement in adaptation activities. In 2009, President Obama issued Executive Order 13514, Federal Leadership in Environmental, Energy, and Economic Performance. The order required federal agencies to develop and implement climate change adaptation plans. The Centers for Disease Control and Prevention (CDC), as part of a larger Department of Health and Human Services response to climate change, is developing such plans. We provide background on Executive Orders, outline tenets of climate change adaptation, discuss public health adaptation planning at both the Department of Health and Human Services and the CDC, and outline possible future CDC efforts. We also consider how these activities may be better integrated with other adaptation activities that manage emerging health threats posed by climate change.