Andrew Fu Wah Ho
Biographic Data
| ID | 7829102 |
|---|---|
| NAME | Andrew Fu Wah Ho |
| GIVEN NAMES | Andrew Fu Wah |
| FAMILY NAME | Ho |
| SIGNATURE | HO A F W |
| AFFILIATIONS | SingHealth |
| ORCID | 0000-0003-4338-3876 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
“Needed but lacked”
Background: Despite years of public cardiopulmonary resuscitation (CPR) training efforts, the training rate and survival following out-of-hospital cardiac arrest (OHCA) have increased modestly in China. Access is imperative to increase the public CPR training rate, which is determined by both demand- (e.g., the lay public) and supply-side (e.g., CPR trainers) factors. We aimed to explore the demand and supply determinants of access to CPR trainin…
Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019
BACKGROUND: We examined the association between smoke-free laws implemented in the outdoors and the common areas of residential apartment blocks and reported acute myocardial infarctions (AMI) in Singapore. METHODS: We used an interrupted time-series design and seasonal autoregressive integrated moving average models to examine the effect of the smoke-free law extensions in 2013 (common areas of residential blocks, covered pedestrian linkways, ov…
Clustering of Environmental Parameters and the Risk of Acute Ischaemic Stroke
Acute ischaemic stroke (AIS) risk on days with similar environmental profiles remains unknown. We investigated the association between clusters of days with similar environmental parameters and AIS incidence in Singapore. We grouped calendar days from 2010 to 2015 with similar rainfall, temperature, wind speed, and Pollutant Standards Index (PSI) using k-means clustering. Three distinct clusters were formed 'Cluster 1' containing high wind speed,…
Ambient Air Quality and Emergency Hospital Admissions in Singapore
Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations…
Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction
The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence ra…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
Leveraging open data to reconstruct the Singapore Housing Index and other building-level markers of socioeconomic status for health services research
SHI, a useful tool for health services research, can be accurately reconstructed using open datasets at no cost. This method is a convenient means for future researchers to obtain updated building-level markers of socioeconomic status for policy and research
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction
The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the re…
Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department
The emergency department (ED) serves as the first point of hospital contact for many septic patients, where risk-stratification would be invaluable. We devised a combination model incorporating demographic, clinical, and heart rate variability (HRV) parameters, alongside individual variables of the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Mortality in Emergency Department Sepsi…
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
Combining Heart Rate Variability with Disease Severity Score Variables for Mortality Risk Stratification in Septic Patients Presenting at the Emergency Department
The emergency department (ED) serves as the first point of hospital contact for many septic patients, where risk-stratification would be invaluable. We devised a combination model incorporating demographic, clinical, and heart rate variability (HRV) parameters, alongside individual variables of the Sequential Organ Failure Assessment (SOFA), Acute Physiology and Chronic Health Evaluation II (APACHE II), and Mortality in Emergency Department Sepsi…
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction
The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the re…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
Leveraging open data to reconstruct the Singapore Housing Index and other building-level markers of socioeconomic status for health services research
SHI, a useful tool for health services research, can be accurately reconstructed using open datasets at no cost. This method is a convenient means for future researchers to obtain updated building-level markers of socioeconomic status for policy and research
Ambient Air Quality and Emergency Hospital Admissions in Singapore
Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations…
Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction
The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence ra…
“Needed but lacked”
Background: Despite years of public cardiopulmonary resuscitation (CPR) training efforts, the training rate and survival following out-of-hospital cardiac arrest (OHCA) have increased modestly in China. Access is imperative to increase the public CPR training rate, which is determined by both demand- (e.g., the lay public) and supply-side (e.g., CPR trainers) factors. We aimed to explore the demand and supply determinants of access to CPR trainin…
Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019
BACKGROUND: We examined the association between smoke-free laws implemented in the outdoors and the common areas of residential apartment blocks and reported acute myocardial infarctions (AMI) in Singapore. METHODS: We used an interrupted time-series design and seasonal autoregressive integrated moving average models to examine the effect of the smoke-free law extensions in 2013 (common areas of residential blocks, covered pedestrian linkways, ov…
Clustering of Environmental Parameters and the Risk of Acute Ischaemic Stroke
Acute ischaemic stroke (AIS) risk on days with similar environmental profiles remains unknown. We investigated the association between clusters of days with similar environmental parameters and AIS incidence in Singapore. We grouped calendar days from 2010 to 2015 with similar rainfall, temperature, wind speed, and Pollutant Standards Index (PSI) using k-means clustering. Three distinct clusters were formed 'Cluster 1' containing high wind speed,…
Influence of ambient temperature and absolute humidity on sudden cardiac arrest in Singapore
Background Global warming is expected to increase the risk of cardiovascular morbidity and mortality. The effects of climate variability on sudden cardiac arrest (SCA) have not been studied in tropical climates. We aimed to study this in Singapore, a city-state with a tropical climate. Methods We included all nationally reported SCA cases from 1 April 2010 to 31 December 2021. Using negative binomial regression adjusted for long-term trend, perio…
Medicine (10 works) · Demography (6 works) · Emergency Medicine (5 works) · Internal Medicine (5 works) · Air Quality and Health Impacts (4 works) · Climate Change and Health Impacts (4 works) · Confidence interval (4 works) · Demography (4 works) · Environmental health (4 works) · Geography (4 works)