What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Cancer
Environmental health, Land use regression, Environmental exposure, Cohort study and Meteorology are his primary areas of study.
His biological study spans a wide range of topics, including Interquartile range, Incidence, Proportional hazards model and Air pollutants, Ambient air pollution.
His Incidence study combines topics from a wide range of disciplines, such as Pediatrics and Cohort.
His Environmental exposure study deals with Prospective cohort study intersecting with Meta-analysis.
His Cohort study research is multidisciplinary, incorporating elements of Vital capacity, FEV1/FVC ratio and Population study.
His Meteorology research incorporates themes from Regression analysis, Exposure assessment and Spatial variability.
His most cited work include:
- A review of land-use regression models to assess spatial variation of outdoor air pollution (837 citations)
- Air pollution and lung cancer incidence in 17 European cohorts : Prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE) (830 citations)
- Effects of long-term exposure to air pollution on natural-cause mortality : An analysis of 22 European cohorts within the multicentre ESCAPE project (743 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Environmental health, Environmental exposure, Land use regression, Incidence and Cohort study.
His study on Environmental health also encompasses disciplines like
- Hazard ratio that intertwine with fields like Proportional hazards model,
- Asthma and related Logistic regression.
His studies in Environmental exposure integrate themes in fields like Exposure assessment, Prospective cohort study and Confidence interval.
Kees de Hoogh works mostly in the field of Confidence interval, limiting it down to concerns involving Odds ratio and, occasionally, Demography, Case-control study and Pediatrics.
His Land use regression study integrates concerns from other disciplines, such as Environmental engineering, Statistics, Meteorology, Physical geography and Atmospheric dispersion modeling.
His research ties Confounding and Cohort study together.
He most often published in these fields:
- Environmental health (67.85%)
- Environmental exposure (32.43%)
- Land use regression (18.26%)
What were the highlights of his more recent work (between 2019-2021)?
- Environmental health (67.85%)
- Epidemiology (14.99%)
- Cohort (18.53%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Environmental health, Epidemiology, Cohort, Demography and Odds ratio.
Kees de Hoogh interconnects Incidence, Aerodynamic diameter, Hazard ratio, Socioeconomic status and Fine particulate in the investigation of issues within Environmental health.
He combines subjects such as Observational study, Interquartile range, Cohort study, Dementia and Spirometry with his study of Epidemiology.
His Cohort research is multidisciplinary, relying on both Body mass index and Proportional hazards model.
His Demography research includes themes of Cancer, Logistic regression, Confidence interval, Asthma and Confounding.
His studies examine the connections between Prospective cohort study and genetics, as well as such issues in Informal settlements, with regards to Environmental exposure.
Between 2019 and 2021, his most popular works were:
- Long-term air pollution exposure is associated with increased severity of rhinitis in 2 European cohorts (8 citations)
- Long-term air pollution exposure is associated with increased severity of rhinitis in 2 European cohorts (8 citations)
- Premature mortality due to air pollution in European cities: a health impact assessment (7 citations)
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