Children's Health and Vulnerability to Heat and Ozone in New York City

纽约市儿童的健康以及对高温和臭氧的脆弱性

基本信息

批准号：
8487404
负责人：
Jane Ellen Clougherty
金额：
$ 20.75万
依托单位：
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-06-15 至 2015-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8487404
关键词：
5 year old Accident and Emergency department Acute Admission activity Adult Affect Age Air Air Conditioning Air Pollution Asthma Cereals Characteristics Child Child health care Childhood Childhood Asthma Chronic Cities Climate Code Communities Crime Data Data Set Databases Dehydration Disadvantaged Emergency Situation Environment Epidemiology Event Exposure to Funding Future Health Heating Height Hospital Departments Hospitalization Individual Information Systems Link Measures Mediating Methods Modeling Modification Monitor Morbidity - disease rate Neighborhoods New York New York City Outcome Ozone Population Population Density Poverty Predisposition Prevalence Readiness Research Research Infrastructure Resolution Risk Schools Site Structure Surface Surveys System Temperature Variant Violence Visit Weather Work age group aged air monitoring climate change improved indexing land use mortality ozone exposure population based population health social stressor

项目摘要

DESCRIPTION (provided by applicant): To better understand effects of climate change on children's health, we propose to: (1) Develop high-resolution spatial and temporal models that will enable us to estimate neighborhood-specific ground-level ozone and surface temperature levels, and (2) Link these estimated exposures to population-based data on childhood asthma hospitalizations and pediatric emergency department visits geo-coded to residential zip-code. We hypothesize that children are particularly vulnerable and that health effects of climate change will be magnified in socially disadvantaged communities. An impediment to previous study of these issues has been lack of high- resolution data on ozone and temperature levels. We propose to overcome this limitation by constructing spatially and temporally resolved estimates of surface temperature, heat index, and air pollution at the neighborhood level using rich datasets collected through atmospheric monitoring networks in New York City (NYC) and interpolated to the community level using sophisticated local climate models. This study builds upon the unique highly-spatially resolved data and analytic infrastructure of the NYC Community Air Survey and existing models to predict future temperature increases to examine the potential for climate change to produce varying impacts on health city-wide. No study has used such a highly spatially-resolved database as proposed here. Further, we employ a unique previously-compiled dataset of city-wide susceptibility indicators to understand community-level vulnerability to climate change by chronic stressors. Specific Aim 1: Develop fine-grained, neighborhood-specific, spatially and temporally resolved calculations of ground-level ozone and surface temperature levels in multiple, highly diverse communities across the five boroughs of NYC. Specific Aim 2: Conduct an epidemiologic analysis of child health outcomes in multiple, diverse NYC communities during warm summer weather. Results of this research will be shared with city agencies to inform near-term climate adaptation as well as ongoing efforts to incorporate climate risk information into long term plans concerning land use, infrastructure, and other climate change adaptation measures. This research will provide pilot data to larger projects currently being developed in Pittsburgh. Developing stronger methods to assess short-term intra-urban variation in temperature and air pollution on children's health outcomes will enable improved assessment of children's health in other cities as well as different vulnerable age groups in NYC.

DESCRIPTION (provided by applicant): To better understand effects of climate change on children's health, we propose to: (1) Develop high-resolution spatial and temporal models that will enable us to estimate neighborhood-specific ground-level ozone and surface temperature levels, and (2) Link these estimated exposures to population-based data on childhood asthma hospitalizations and pediatric emergency department visits geo-coded to residential zip-code.我们假设儿童特别脆弱，气候变化的健康影响将在社会不利的社区中得到放大。对这些问题的先前研究的障碍是缺乏有关臭氧和温度水平的高分辨率数据。我们建议通过使用纽约市大气监测网络（NYC）收集的丰富数据集（NYC）收集的丰富数据集，并使用复杂的当地气候模型来插入社区水平，从而克服了这种限制，该局限性通过空间和时间分辨的表面温度，热量指数和空气污染。这项研究基于纽约市社区空气调查和现有模型的高度空间解决的数据和分析基础设施，以预测未来的温度升高，以检查气候变化的潜力，从而对整个城市的健康产生不同的影响。没有研究使用此处提出的如此高的空间分辨数据库。此外，我们采用了一个独特的以前编译的城市易感指标数据集来了解社区级别的脆弱性，该数据集是长期压力源对气候变化的脆弱性。具体目标1：在纽约市五个自治市镇的多种社区中，在多种多样的社区中，开发细粒度，特定于空间和时间分辨的邻里，空间和时间分辨的计算。具体目标2：在温暖的夏季天气中，对多种不同的纽约市社区中儿童健康结果进行流行病学分析。这项研究的结果将与城市机构共享，以告知近期气候适应，并正在进行的努力将气候风险信息纳入有关土地使用，基础设施和其他气候变化适应措施的长期计划。这项研究将为目前在匹兹堡开发的大型项目提供试点数据。开发更强大的方法来评估儿童健康结果温度和空气污染的短期内部变化，将有助于改善对其他城市以及纽约市不同弱势年龄段儿童健康的评估。