An assessment of PM levels based on indicative PM measurements and relationships with PM and PM concentrations, for the analysis of hospital admissions and mortality in the Moravian region.

Background: Particulate matter (PM) air pollution is a serious concern in the city of Ostrava. Thus, in 2018, a project entitled "Validation of the relationships between PM, PM and PM concentrations, and morbidity and mortality, in the heavily polluted region in the Czech Republic," was launched. The relationship between hospital admissions and mortality in the said region is based primarily on short-term PM and PM concentrations and indicative PM measurement.

PM10 Air Pollution and Acute Hospital Admissions for Cardiovascular and Respiratory Causes in Ostrava.

Background And Aim: The city of Ostrava and its surroundings belong to the most long-therm polluted areas in the Czech Republic and Europe. For identification of health risk, the World Health Organization recommends a theoretical estimation of increased short-term PM concentrations effect on hospital admissions for cardiac complaints based on a 0.6% increase per 10 µg.

A Summary of Environmental Health Studies in the City of Ostrava and the Surrounding Region in the Czech Republic.

Aim: This study is concerned with environmental health studies conducted in Ostrava (Czech Republic) and the surrounding region since the early nineties.

Methods: Various databases, journals and reports, including internal or unpublished reports, were reviewed to assess the individual publications. A brief description of the studies and main results were collated.

Czech socio-economic deprivation index and its correlation with mortality data.

Objectives: The aim of the study was to create an index of socio-economic deprivation (SESDI) and to analyse correlation between SESDI and mortality data.

Methods: The SESDI components were selected from the census data (2001) at enumeration district and district level. Two methods were used for creating the SESDI: 1/ a sum of Z-scores of specific components (INDEX1); and 2/ standardized score - average values of specific components were divided by a maximum value of the specific component at the corresponding geographical level (INDEX2).