Using Environmental Public Health Tracking to Identify Community Targets for Public Health Actions in Childhood Lead Poisoning in Wisconsin

Berney, Dawn; Camponeschi, Jenny; Coons, Marjorie J; Creswell, Paul D.; Schirmer, Joe; Walsh, Reghan O

doi:10.1097/phh.0000000000000161

Cited by 5 publications

(2 citation statements)

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“…Local health departments increasingly are adopting geographic information system (GIS) software for epidemiological analyses [4,5] and to build analytic capacity [6]. Historically, the geographic unit of analysis most often used has been the county [7][8][9] or zip code [10], often due to availability of geography-related data.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analytics Based on Confidential Data for Strategic Planning in Urban Health Departments

2019

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Spatial data analytics can detect patterns of clustering of events in small geographies across an urban region. This study presents and demonstrates a robust research design to study the longitudinal stability of spatial clustering with small case numbers per census tract and assess the clustering changes over time across the urban environment to better inform public health policy making at the community level. We argue this analysis enables the greater efficiency of public health departments, while leveraging existing data and preserving citizen personal privacy. Analysis at the census tract level is conducted in Mecklenburg County, North Carolina, on hypertension during pregnancy compiled from 2011–2014 birth certificates. Data were derived from per year and per multi-year moving counts by aggregating spatially to census tracts and then assessed for clustering using global Moran’s I. With evidence of clustering, local indicators of spatial association are calculated to pinpoint hot spots, while time series data identified hot spot changes. Knowledge regarding the geographical distribution of diseases is essential in public health to define strategies that improve the health of populations and quality of life. Our findings support that spatial aggregation at the census tract level contributes to identifying the location of at-risk “hot spot” communities to refine health programs, while temporal windowing reduces random noise effects on spatial clustering patterns. With tight state budgets limiting health departments’ funds, using geographic analytics provides for a targeted and efficient approach to health resource planning.

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Section: Introductionmentioning

confidence: 99%

Spatial Analytics Based on Confidential Data for Strategic Planning in Urban Health Departments

2019

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“…The concept of data to information to action is reflected in the mission statement for the Tracking Program and is demonstrated by the articles in the Science and Data section of this issue 13,14 15,16,17,18,19,20. .…”

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confidence: 99%

Fulfilling the Vision of Environmental Public Health Tracking

Qualters

2015

Journal of Public Health Management and Practice

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Feasibility of visualizing cancer incidence data at sub-county level: Findings from 21 National Program of Cancer Registries

Ellington

Werner

Henley

et al. 2023

Spatial and Spatio-temporal Epidemiology

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Using Environmental Public Health Tracking to Identify Community Targets for Public Health Actions in Childhood Lead Poisoning in Wisconsin

Abstract: The collaboration between WI EPHT and WCLPPP on updating and enhancing the portal exemplifies the power of environmental health data to inform a more accurate understanding of public health problems.

Cited by 5 publications

References 1 publication

Spatial Analytics Based on Confidential Data for Strategic Planning in Urban Health Departments

Spatial Analytics Based on Confidential Data for Strategic Planning in Urban Health Departments

Fulfilling the Vision of Environmental Public Health Tracking

Feasibility of visualizing cancer incidence data at sub-county level: Findings from 21 National Program of Cancer Registries

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