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[HTML][HTML] Global associations of air pollution and conjunctivitis diseases: a systematic review and meta-analysis
R Chen, J Yang, C Zhang, B Li, S Bergmann… - International journal of …, 2019 - mdpi.com
(1) Background: As the most common eye disease diagnosed in emergency departments,
conjunctivitis has caused serious health and economic burdens worldwide. However …
conjunctivitis has caused serious health and economic burdens worldwide. However …
Correlation between air pollution and prevalence of conjunctivitis in South Korea using analysis of public big data
S Nam, MY Shin, JY Han, SY Moon, JY Kim… - Scientific Reports, 2022 - nature.com
This study investigated how changes in weather factors affect the prevalence of
conjunctivitis using public big data in South Korea. A total of 1,428 public big data entries …
conjunctivitis using public big data in South Korea. A total of 1,428 public big data entries …
Application of zero-truncated count data regression models to air-pollution disease
Count data consist of non-negative integers that have many applications in various fields of
studies. To handle count data, there are various statistical models that can be employed …
studies. To handle count data, there are various statistical models that can be employed …
[PDF][PDF] Comparison of Count Data Generalised Linear Models: Application to Air-Pollution Related Disease in Johor Bahru, Malaysia.
Poisson regression is a common approach for modelling discrete data. However, due to
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
Application of generalized additive models to air-pollution related disease
AIN Ibrahim, HY Koay - AIP Conference Proceedings, 2024 - pubs.aip.org
Generalized additive models (GAMs) are widely used in investigating environmental studies.
It is a more flexible technique that can be used to reveal and estimate the non-linear effects …
It is a more flexible technique that can be used to reveal and estimate the non-linear effects …
Modelling asthma cases by count analysis approach: Poisson INGARCH and negative binomial INGARCH
Johor Bahru with its rapid development where pollution is an issue that needs to be
considered because it has contributed to the number of asthma cases in this area …
considered because it has contributed to the number of asthma cases in this area …
[PDF][PDF] FORECASTING EMERGENCY TROLLEY DRUG UTILISATION USING ARMA AND SVR WITH EXTERNAL FACTORS
MABIN NORRULASHIKIN - 2022 - eprints.utm.my
Adequate stock management in emergency trolleys is important to ensure that every process
requiring medication specifically in hospitals, runs smoothly in any given situation. Stock …
requiring medication specifically in hospitals, runs smoothly in any given situation. Stock …
PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES
Poisson regression is a common approach for modelling discrete data. However, due to
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
Poisson regression is a common approach for modelling discrete data. However, due to
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
characteristics of Poisson distribution, Poisson regression might not be suitable since most …
[PDF][PDF] MODELLING HAND, FOOT AND MOUTH DISEASE IN MALAYSIA USING GENERALIZED LINEAR MODELS
T SHIEN - 2019 - eprints.utm.my
ABSTRACT HFMD is an infection which caused by a group of enteroviruses, both
Coxsackievirus A16 (CA16) and Enterovirus-71 (EV71) are the two major pathogens of this …
Coxsackievirus A16 (CA16) and Enterovirus-71 (EV71) are the two major pathogens of this …