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Identifying obesogenic environment through spatial clustering of body mass index among adults
Identifying obesogenic environment through spatial clustering of body mass index among adults
The escalating trend of obesity in Malaysia is surmounting, and the lack of evidence on the environmental influence on obe...
Analysing the outbreaks of leptospirosis after floods in Kerala, India
Analysing the outbreaks of leptospirosis after floods in Kerala, India
A growing number of studies have linked the incidence of leptospirosis with the occurrence of flood events. Nevertheless, ...
Investigating young children’s physical activity through time and place
Investigating young children’s physical activity through time and place
Previous research indicates the start of primary school (4-5-year-old) as an essential period for the development of child...
Towards more realistic measures of accessibility to emergency departments in Sweden
Towards more realistic measures of accessibility to emergency departments in Sweden
Assuring that emergency health care (EHC) is accessible is a key objective for health care planners. Conventional...
Mapping the prevalence of cancer risk factors at the small area level in Australia
Mapping the prevalence of cancer risk factors at the small area level in Australia
Cancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many...
Gravity models for potential spatial healthcare access measurement: a systematic methodological review
Gravity models for potential spatial healthcare access measurement: a systematic methodological review
Quantifying spatial access to care—the interplay of accessibility and availability—is vital for healthcare pla...
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis
Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent preva...
A Bayesian maximum entropy model for predicting tsetse ecological distributions
A Bayesian maximum entropy model for predicting tsetse ecological distributions
African trypanosomiasis is a tsetse-borne parasitic infection that affects humans, wildlife, and domesticated animals. Tse...
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
Correctly identifying spatial disease cluster is a fundamental concern in public health and epidemiology. The spatial scan...
Physical environment features that predict outdoor active play can be measured using Google Street View images
Physical environment features that predict outdoor active play can be measured using Google Street View images
Childrens’ outdoor active play is an important part of their development. Play behaviour can be predicted by a varie...