Cia Vei Tan
Dados Biográficos
| ID | 7945002 |
|---|---|
| NOME | Cia Vei Tan |
| PRENOMES | Cia Vei |
| SOBRENOME | Tan |
| ASSINATURA | TAN C V |
| AFILIAÇÕES | Ministry of Health |
| ORCID | 0000-0002-6060-1997 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
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…
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)…
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…
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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 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…
Medicine (3 obras) · COVID-19 epidemiological studies (2 obras) · Demography (2 obras) · Disease (2 obras) · Internal Medicine (2 obras) · Pandemic (2 obras) · Virology (2 obras) · Autoregressive integrated moving average (1 obras) · Autoregressive model (1 obras) · Bayesian probability (1 obras)