以下为卖家选择提供的数据验证报告:
数据描述
Air Pollution Health Impacts in London Boroughs
Incidence and 95% Confidence intervals
By data.world's Admin [source]
About this dataset
> This dataset reveals the long-term health impacts of air pollution in London's boroughs. Home to over 8 million people, London's air pollution is a growing health concern and this study provides invaluable insights into the devastating effects of exposure.
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How to use the dataset
> How to Use this Dataset: > > This dataset provides detailed analysis of the long-term health impacts of air pollution. It includes estimated cases and costs associated with each borough, as well as projections for each scenario used in modelling the effects. This dataset is useful for learners who want to learn about how various factors, such as population growth or new technologies, may affect future health outcomes related to air pollution in London. > > The columns included are ‘Scenario’ (the scenario used), ‘Year’ (the year modelled), ‘Disease’ (the type of disease modelled), ‘AgeGroup’ (the age group of the population modelled) and ‘95% CL’ (confidence level). > > To understand these columns further we recommend looking at the original source report. This will provide additional detail about each element considered when modelling. > > To get started with analysing this data set we recommend exploring how estimates differ between scenarios and considering which ages benefit most from different interventions proposed by London Environment Strategy for reducing diseases caused by air pollution. Additionally you could look at different diseases separately, or consider disease costs versus number of cases across different age groups and scenarios
Research Ideas
> - Analyzing the long-term impact of air pollution on London's NHS and social care system by borough. > - Comparing the health impacts of different scenarios related to air pollution in different years and age groups to inform effective policymaking. > - Modeling how changes in air pollution levels might affect different diseases or health outcomes over time in a particular area or community
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > Data Source > >
License
> > > See the dataset description for more information.
Columns
File: newham-no2-xlsm-18.csv
Column name | Description |
---|---|
Scenario | The scenario used to model potential long-term health impacts of air pollution. (String) |
Year | Year of modelling which ranges from 2016 - 2050. (Integer) |
Disease | The type of disease attributable to air pollution. (String) |
AgeGroup | Age range which data relates to. (String) |
95% CL | 95% Confidence Level based on modeling techniques used in study. (Float) |
File: bromley-pm25-xlsm-35.csv
Column name | Description |
---|---|
Scenario | The scenario used to model potential long-term health impacts of air pollution. (String) |
Year | Year of modelling which ranges from 2016 - 2050. (Integer) |
Disease | The type of disease attributable to air pollution. (String) |
AgeGroup | Age range which data relates to. (String) |
95% CL | 95% Confidence Level based on modeling techniques used in study. (Float) |
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > If you use this dataset in your research, please credit data.world's Admin.
