Alfred Stein
Biographic Data
| ID | 3635626 |
|---|---|
| NAME | Alfred Stein |
| GIVEN NAMES | Alfred |
| FAMILY NAME | Stein |
| SIGNATURE | STEIN A |
| AFFILIATIONS | University of Twente |
| ORCID | 0000-0002-9456-1233 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Prevalence and determinants of stunting and anaemia in children aged 6–23 months
Low- and middle-income countries shoulder the greatest burden of stunting and anaemia in children. This calls for prompt and effective intervention measures, while the contributing factors are not fully understood. This study evaluates determinants spanning from individual-, household- and community levels including agroecology and antinutrients as unique sets of predictors. Primary data were collected from 660 rural households representing the m…
Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China
Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …
Using spatial indices to measure dynamic racial residential segregation in Gauteng province (South Africa)
Apartheid laws resulted in racial residential segregation that became entrenched into the urban morphology of South Africa. When apar-theid ended in the 1990’s, the new South African democratic government was resolved to bring about social and spatial justice, address inequalities and promote social cohesion. To determine progress towards racial residential integration, aspatial indices of segregation are widely employed despite their shortcoming…
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Increase in urban flood hazards has become a major threat to cities, causing considerable losses of life and in the economy. To improve pre-disaster strategies and to mitigate potential losses, it is important to make urban flood susceptibility assessments and to carry out spatiotemporal analyses. In this study, we used standard deviation ellipse (SDE) to analyze the spatial pattern of urban floods and find the area of interest (AOI) based upon r…
Spatial Association from the Perspective of Mutual Information
Measures of spatial association are important to reveal the spatial structures and patterns in geographical phenomena. They have utility for spatial interpolation, stochastic simulation, and causal inference, among others. Such measures are abundantly available for continuous spatial variables, whereas for categorical spatial variables they are less well developed. In this research, we developed a measure of spatial association for categorical sp…
Obesogenic environmental factors of adult obesity in China
The prevalence of obesity is still rising among Chinese adults and may be attributed to environmental factors, which, however, has only been examined in western countries before. This study aimed to estimate associations between obesogenic environments and adult obesity in China, on the basis of the official 2013-4 nationally representative survey. General and abdominal obesity were defined by body mass index and waist circumference, respectively…
Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection
Understanding the spatially varying effects of demographic factors on the spatio-temporal variation of intestinal parasites infections is important for public health intervention and monitoring. This paper presents a hierarchical Bayesian spatially varying coefficient model to evaluate the effects demographic factors on intestinal parasites morbidities in Ghana. The modeling relied on morbidity data collected by the District Health Information Ma…
Modeling Schistosoma japonicum Infection under Pure Specification Bias
Uncertainties in spatial modeling studies of schistosomiasis (SCH) are relevant for the reliable identification of at-risk populations. Ecological fallacy occurs when ecological or group-level analyses, such as spatial aggregations at a specific administrative level, are carried out for an individual-level inference. This could lead to the unreliable identification of at-risk populations, and consequently to fallacies in the drugs’ allocation str…
A spatial-temporal statistical analysis of health seasonality
The study shows that social contact amongst children under five years of age is the important driving factor of the dynamics of the childhood hand-foot-mouth disease outbreaks in the study area. The preschooling season when children's contact with each other increases stimulates the geographical variation of the seasonality of childhood hand-foot-mouth disease infections at small areas in the study area
Spatial Lifecourse Epidemiology Reporting Standards (Isle-ReSt) statement
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisi…
Spatial variation and hot-spots of district level diarrhea incidences in Ghana
This study has revealed that the excess incidences of diarrhea is spatially clustered with peri-urban districts showing the greatest risk of space-time clustering. More attention should therefore be paid to diarrhea in peri-urban districts. These findings also prompt public health officials to integrate disease mapping and cluster analyses in developing location specific interventions for reducing diarrhea
An ontology of slums for image-based classification
Trends in urban and slum indicators across developing world cities, 1990–2003
Trends in urban and slum indicators across developing world cities, 1990–2003
Spatial Association from the Perspective of Mutual Information
Measures of spatial association are important to reveal the spatial structures and patterns in geographical phenomena. They have utility for spatial interpolation, stochastic simulation, and causal inference, among others. Such measures are abundantly available for continuous spatial variables, whereas for categorical spatial variables they are less well developed. In this research, we developed a measure of spatial association for categorical sp…
Spatial Lifecourse Epidemiology Reporting Standards (Isle-ReSt) statement
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisi…
Trends in urban and slum indicators across developing world cities, 1990–2003
An ontology of slums for image-based classification
Spatial variation and hot-spots of district level diarrhea incidences in Ghana
This study has revealed that the excess incidences of diarrhea is spatially clustered with peri-urban districts showing the greatest risk of space-time clustering. More attention should therefore be paid to diarrhea in peri-urban districts. These findings also prompt public health officials to integrate disease mapping and cluster analyses in developing location specific interventions for reducing diarrhea
Obesogenic environmental factors of adult obesity in China
The prevalence of obesity is still rising among Chinese adults and may be attributed to environmental factors, which, however, has only been examined in western countries before. This study aimed to estimate associations between obesogenic environments and adult obesity in China, on the basis of the official 2013-4 nationally representative survey. General and abdominal obesity were defined by body mass index and waist circumference, respectively…
Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection
Understanding the spatially varying effects of demographic factors on the spatio-temporal variation of intestinal parasites infections is important for public health intervention and monitoring. This paper presents a hierarchical Bayesian spatially varying coefficient model to evaluate the effects demographic factors on intestinal parasites morbidities in Ghana. The modeling relied on morbidity data collected by the District Health Information Ma…
Modeling Schistosoma japonicum Infection under Pure Specification Bias
Uncertainties in spatial modeling studies of schistosomiasis (SCH) are relevant for the reliable identification of at-risk populations. Ecological fallacy occurs when ecological or group-level analyses, such as spatial aggregations at a specific administrative level, are carried out for an individual-level inference. This could lead to the unreliable identification of at-risk populations, and consequently to fallacies in the drugs’ allocation str…
A spatial-temporal statistical analysis of health seasonality
The study shows that social contact amongst children under five years of age is the important driving factor of the dynamics of the childhood hand-foot-mouth disease outbreaks in the study area. The preschooling season when children's contact with each other increases stimulates the geographical variation of the seasonality of childhood hand-foot-mouth disease infections at small areas in the study area
Spatial Lifecourse Epidemiology Reporting Standards (Isle-ReSt) statement
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisi…
Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China
Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …
Using spatial indices to measure dynamic racial residential segregation in Gauteng province (South Africa)
Apartheid laws resulted in racial residential segregation that became entrenched into the urban morphology of South Africa. When apar-theid ended in the 1990’s, the new South African democratic government was resolved to bring about social and spatial justice, address inequalities and promote social cohesion. To determine progress towards racial residential integration, aspatial indices of segregation are widely employed despite their shortcoming…
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Increase in urban flood hazards has become a major threat to cities, causing considerable losses of life and in the economy. To improve pre-disaster strategies and to mitigate potential losses, it is important to make urban flood susceptibility assessments and to carry out spatiotemporal analyses. In this study, we used standard deviation ellipse (SDE) to analyze the spatial pattern of urban floods and find the area of interest (AOI) based upon r…
Spatial Association from the Perspective of Mutual Information
Measures of spatial association are important to reveal the spatial structures and patterns in geographical phenomena. They have utility for spatial interpolation, stochastic simulation, and causal inference, among others. Such measures are abundantly available for continuous spatial variables, whereas for categorical spatial variables they are less well developed. In this research, we developed a measure of spatial association for categorical sp…
Prevalence and determinants of stunting and anaemia in children aged 6–23 months
Low- and middle-income countries shoulder the greatest burden of stunting and anaemia in children. This calls for prompt and effective intervention measures, while the contributing factors are not fully understood. This study evaluates determinants spanning from individual-, household- and community levels including agroecology and antinutrients as unique sets of predictors. Primary data were collected from 660 rural households representing the m…
Geography (10 works) · Medicine (9 works) · Environmental health (8 works) · Mathematics (6 works) · Population (6 works) · Child Nutrition and Water Access (5 works) · Statistics (5 works) · Computer Science (4 works) · Demography (4 works) · Environmental Science (4 works)