Belal Alsinglawi
Biographic Data
| ID | 4463890 |
|---|---|
| NAME | Belal Alsinglawi |
| GIVEN NAMES | Belal |
| FAMILY NAME | Alsinglawi |
| SIGNATURE | ALSINGLAWI B |
| AFFILIATIONS | Western Sydney University |
| ORCID | 0000-0003-0316-3641 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Connecting the Dots
Global and Temporal Covid-19 Risk Evaluation
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a t…
The Effect of Strict State Measures on the Epidemiologic Curve of Covid-19 Infection in the Context of a Developing Country
COVID-19 has posed an unprecedented global public health threat and caused a significant number of severe cases that necessitated long hospitalization and overwhelmed health services in the most affected countries. In response, governments initiated a series of non-pharmaceutical interventions (NPIs) that led to severe economic and social impacts. The effect of these intervention measures on the spread of the COVID-19 pandemic are not well invest…
Measurement Method for Evaluating the Lockdown Policies during the Covid-19 Pandemic
Coronavirus Disease 2019 (COVID-19) has affected day to day life and slowed down the global economy. Most countries are enforcing strict quarantine to control the havoc of this highly contagious disease. Since the outbreak of COVID-19, many data analyses have been done to provide close support to decision-makers. We propose a method comprising data analytics and machine learning classification for evaluating the effectiveness of lockdown regulati…
Covid-19 Global Risk
Background and Objective : COVID-19 has engulfed the entire world, with many countries struggling to contain the pandemic. In order to understand how each country is impacted by the virus compared with what would have been expected prior to the pandemic and the mortality risk on a global scale, a multi-factor weighted spatial analysis is presented. Method : A number of key developmental indicators across three main categories of demographics, eco…
No prominent works on this page.
Global and Temporal Covid-19 Risk Evaluation
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a t…
The Effect of Strict State Measures on the Epidemiologic Curve of Covid-19 Infection in the Context of a Developing Country
COVID-19 has posed an unprecedented global public health threat and caused a significant number of severe cases that necessitated long hospitalization and overwhelmed health services in the most affected countries. In response, governments initiated a series of non-pharmaceutical interventions (NPIs) that led to severe economic and social impacts. The effect of these intervention measures on the spread of the COVID-19 pandemic are not well invest…
Measurement Method for Evaluating the Lockdown Policies during the Covid-19 Pandemic
Coronavirus Disease 2019 (COVID-19) has affected day to day life and slowed down the global economy. Most countries are enforcing strict quarantine to control the havoc of this highly contagious disease. Since the outbreak of COVID-19, many data analyses have been done to provide close support to decision-makers. We propose a method comprising data analytics and machine learning classification for evaluating the effectiveness of lockdown regulati…
Covid-19 Global Risk
Background and Objective : COVID-19 has engulfed the entire world, with many countries struggling to contain the pandemic. In order to understand how each country is impacted by the virus compared with what would have been expected prior to the pandemic and the mortality risk on a global scale, a multi-factor weighted spatial analysis is presented. Method : A number of key developmental indicators across three main categories of demographics, eco…
Connecting the Dots
COVID-19 epidemiological studies (4 works) · COVID-19 Pandemic Impacts (4 works) · Medicine (4 works) · Pandemic (4 works) · Computer Science (3 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Disease (3 works) · Business (2 works) · Demography (2 works) · Demography (2 works)