Balvinder Singh Gill
Datos Biográficos
| ID | 7779070 |
|---|---|
| NOMBRE | Balvinder Singh Gill |
| NOMBRES | Balvinder Singh |
| APELLIDO | Gill |
| FIRMA | GILL B S |
| AFILIACIONES | Ministry of Health |
| ORCID | 0000-0002-0738-2991 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Modelling tuberculosis transmission dynamics in Malaysia
Introduction Tuberculosis (TB) remains a major global public health challenge requiring urgent interventions to achieve the World Health Organization (WHO) End TB Strategy targets. This study aimed to develop and validate a compartmental model to estimate the TB reproduction number (R 0 ) and TB incidence in Malaysia, identify parameters influencing R 0 and TB incidence, and simulate TB incidence using baseline and intervention scenarios to 2035 …
Description of the Covid-19 epidemiology in Malaysia
Introduction: Since the COVID-19 pandemic began, it has spread rapidly across the world and has resulted in recurrent outbreaks. This study aims to describe the COVID-19 epidemiology in terms of COVID-19 cases, deaths, ICU admissions, ventilator requirements, testing, incidence rate, death rate, case fatality rate (CFR) and test positivity rate for each outbreak from the beginning of the pandemic in 2020 till endemicity of COVID-19 in 2022 in Mal…
Utilizing disease transmission and response capacities to optimize covid-19 control in Malaysia
The indicators selected and combinations formed were able to generate validated daily CT and RC levels for Malaysia. Subsequently, the CT and RC levels were able to provide accurate and sensitive information for the estimation of SL which provided valuable evidence on the progression of the pandemic and movement restriction adjustment for the control of Malaysia
The effects of the Covid-19 pandemic on dengue cases in Malaysia
Background Globally, the COVID-19 pandemic has affected the transmission dynamics and distribution of dengue. Therefore, this study aims to describe the impact of the COVID-19 pandemic on the geographic and demographic distribution of dengue incidence in Malaysia. Methods This study analyzed dengue cases from January 2014 to December 2021 and COVID-19 confirmed cases from January 2020 to December 2021 which was divided into the pre (2014 to 2019)…
Assessing the Spatiotemporal Spread Pattern of the Covid-19 Pandemic in Malaysia
Introduction The unprecedented COVID-19 pandemic has greatly affected human health and socioeconomic backgrounds. This study examined the spatiotemporal spread pattern of the COVID-19 pandemic in Malaysia from the index case to 291,774 cases in 13 months, emphasizing on the spatial autocorrelation of the high-risk cluster events and the spatial scan clustering pattern of transmission. Methodology We obtained the confirmed cases and deaths of COVI…
Correlation between Population Density and Covid-19 Cases during the Third Wave in Malaysia
More populous and densely populated districts have a higher risk of transmission of COVID-19, especially with the Delta variant as the dominant circulating strain. Therefore, extra and more stringent control measures should be instituted in highly populated areas to control the spread of COVID-19
Forecasting Covid-19 Case Trends Using Sarima Models during the Third Wave of Covid-19 in Malaysia
With many countries experiencing a resurgence in COVID-19 cases, it is important to forecast disease trends to enable effective planning and implementation of control measures. This study aims to develop Seasonal Autoregressive Integrated Moving Average (SARIMA) models using 593 data points and smoothened case and covariate time-series data to generate a 28-day forecast of COVID-19 case trends during the third wave in Malaysia. SARIMA models were…
The Effects of Meteorological Factors on Dengue Cases in Malaysia
Dengue is a vector-borne disease affected by meteorological factors and is commonly recorded from ground stations. Data from ground station have limited spatial representation and accuracy, which can be overcome using satellite-based Earth Observation (EO) recordings instead. EO-based meteorological recordings can help to provide a better understanding of the correlations between meteorological variables and dengue cases. This paper aimed to firs…
Covid-19 in Malaysia
This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Characteristics of the cases and close contacts, spatial spread, epidemiological link, and timeline of the cases were examined. An extended SEIR model was …
Modelling the Effectiveness of Epidemic Control Measures in Preventing the Transmission of Covid-19 in Malaysia
Malaysia is currently facing an outbreak of COVID-19. We aim to present the first study in Malaysia to report the reproduction numbers and develop a mathematical model forecasting COVID-19 transmission by including isolation, quarantine, and movement control measures. We utilized a susceptible, exposed, infectious, and recovered (SEIR) model by incorporating isolation, quarantine, and movement control order (MCO) taken in Malaysia. The simulation…
Sin obras prominentes en esta página.
Modelling the Effectiveness of Epidemic Control Measures in Preventing the Transmission of Covid-19 in Malaysia
Malaysia is currently facing an outbreak of COVID-19. We aim to present the first study in Malaysia to report the reproduction numbers and develop a mathematical model forecasting COVID-19 transmission by including isolation, quarantine, and movement control measures. We utilized a susceptible, exposed, infectious, and recovered (SEIR) model by incorporating isolation, quarantine, and movement control order (MCO) taken in Malaysia. The simulation…
Assessing the Spatiotemporal Spread Pattern of the Covid-19 Pandemic in Malaysia
Introduction The unprecedented COVID-19 pandemic has greatly affected human health and socioeconomic backgrounds. This study examined the spatiotemporal spread pattern of the COVID-19 pandemic in Malaysia from the index case to 291,774 cases in 13 months, emphasizing on the spatial autocorrelation of the high-risk cluster events and the spatial scan clustering pattern of transmission. Methodology We obtained the confirmed cases and deaths of COVI…
Correlation between Population Density and Covid-19 Cases during the Third Wave in Malaysia
More populous and densely populated districts have a higher risk of transmission of COVID-19, especially with the Delta variant as the dominant circulating strain. Therefore, extra and more stringent control measures should be instituted in highly populated areas to control the spread of COVID-19
Forecasting Covid-19 Case Trends Using Sarima Models during the Third Wave of Covid-19 in Malaysia
With many countries experiencing a resurgence in COVID-19 cases, it is important to forecast disease trends to enable effective planning and implementation of control measures. This study aims to develop Seasonal Autoregressive Integrated Moving Average (SARIMA) models using 593 data points and smoothened case and covariate time-series data to generate a 28-day forecast of COVID-19 case trends during the third wave in Malaysia. SARIMA models were…
The Effects of Meteorological Factors on Dengue Cases in Malaysia
Dengue is a vector-borne disease affected by meteorological factors and is commonly recorded from ground stations. Data from ground station have limited spatial representation and accuracy, which can be overcome using satellite-based Earth Observation (EO) recordings instead. EO-based meteorological recordings can help to provide a better understanding of the correlations between meteorological variables and dengue cases. This paper aimed to firs…
Covid-19 in Malaysia
This study aimed to describe the characteristics of COVID-19 cases and close contacts during the first wave of COVID-19 in Malaysia (23 January 2020 to 26 February 2020), and to analyse the reasons why the outbreak did not continue to spread and lessons that can be learnt from this experience. Characteristics of the cases and close contacts, spatial spread, epidemiological link, and timeline of the cases were examined. An extended SEIR model was …
The effects of the Covid-19 pandemic on dengue cases in Malaysia
Background Globally, the COVID-19 pandemic has affected the transmission dynamics and distribution of dengue. Therefore, this study aims to describe the impact of the COVID-19 pandemic on the geographic and demographic distribution of dengue incidence in Malaysia. Methods This study analyzed dengue cases from January 2014 to December 2021 and COVID-19 confirmed cases from January 2020 to December 2021 which was divided into the pre (2014 to 2019)…
Description of the Covid-19 epidemiology in Malaysia
Introduction: Since the COVID-19 pandemic began, it has spread rapidly across the world and has resulted in recurrent outbreaks. This study aims to describe the COVID-19 epidemiology in terms of COVID-19 cases, deaths, ICU admissions, ventilator requirements, testing, incidence rate, death rate, case fatality rate (CFR) and test positivity rate for each outbreak from the beginning of the pandemic in 2020 till endemicity of COVID-19 in 2022 in Mal…
Utilizing disease transmission and response capacities to optimize covid-19 control in Malaysia
The indicators selected and combinations formed were able to generate validated daily CT and RC levels for Malaysia. Subsequently, the CT and RC levels were able to provide accurate and sensitive information for the estimation of SL which provided valuable evidence on the progression of the pandemic and movement restriction adjustment for the control of Malaysia
Modelling tuberculosis transmission dynamics in Malaysia
Introduction Tuberculosis (TB) remains a major global public health challenge requiring urgent interventions to achieve the World Health Organization (WHO) End TB Strategy targets. This study aimed to develop and validate a compartmental model to estimate the TB reproduction number (R 0 ) and TB incidence in Malaysia, identify parameters influencing R 0 and TB incidence, and simulate TB incidence using baseline and intervention scenarios to 2035 …
Medicine (9 obras) · COVID-19 epidemiological studies (7 obras) · Demography (6 obras) · Mathematics (6 obras) · Pandemic (6 obras) · Population (6 obras) · Statistics (6 obras) · Coronavirus disease 2019 (COVID-19 (5 obras) · Virology (5 obras) · COVID-19 Pandemic Impacts (4 obras)