Perinatal Health Inequalities in the Industrial Region of Estonia: A Birth Registry-Based Study.

Despite the increasing number of studies on industrially contaminated sites (ICS) and their health effects, there are very few studies on perinatal health outcomes in ICSs. In the present study, we examined the perinatal health inequalities by comparing adverse birth outcomes (ABOs) in the oil shale industry region of Ida-Viru County in Estonia with national-level figures and investigated the effects of maternal environmental and sociodemographic factors. Based on the 208,313 birth records from 2004-2018, Ida-Viru ICS has a birth weight 124.

Health impacts of PM originating from residential wood combustion in four nordic cities.

Background: Residential wood combustion (RWC) is one of the largest sources of fine particles (PM) in the Nordic cities. The current study aims to calculate the related health effects in four studied city areas in Sweden, Finland, Norway, and Denmark.

Methods: Health impact assessment (HIA) was employed as the methodology to quantify the health burden.

Health impact assessment of transportation noise in two Estonian cities.

Transportation noise is a growing public health concern worldwide, especially in urban areas, causing annoyance, sleep disturbance, cardiovascular diseases and other health effects. Recently, European Commission (EC) has developed a mutual methodology for assessing health impacts of transportation noise in European Union using strategic noise mapping. Applying this methodology, our aim was to quantify the health effects of road, rail and aircraft noise in two Estonian cities, Tallinn and Tartu.

Health impact assessment of particulate pollution in Tallinn using fine spatial resolution and modeling techniques.

Background: Health impact assessments (HIA) use information on exposure, baseline mortality/morbidity and exposure-response functions from epidemiological studies in order to quantify the health impacts of existing situations and/or alternative scenarios. The aim of this study was to improve HIA methods for air pollution studies in situations where exposures can be estimated using GIS with high spatial resolution and dispersion modeling approaches.

Methods: Tallinn was divided into 84 sections according to neighborhoods, with a total population of approx.