Essam A Rashed
Biographic Data
| ID | 6653169 |
|---|---|
| NAME | Essam A Rashed |
| GIVEN NAMES | Essam A |
| FAMILY NAME | Rashed |
| SIGNATURE | RASHED E A |
| AFFILIATIONS | Suez Canal University |
| ORCID | 0000-0001-6571-9807 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
The Effects of Time Window-Averaged Mobility on Effective Reproduction Number of Covid-19 Viral Variants in Urban Cities
During epidemics, the estimation of the effective reproduction number (ERN) associated with infectious disease is a challenging topic for policy development and medical resource management. The emergence of new viral variants is common in widespread pandemics including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A simple approach is required toward an appropriate and timely policy decision for understanding the potential ERN…
Social implementation and intervention with estimated morbidity of heat-related illnesses from weather data
One-Year Lesson
With the wide spread of COVID-19 and the corresponding negative impact on different life aspects, it becomes important to understand ways to deal with the pandemic as a part of daily routine. After a year of the COVID-19 pandemic, it has become obvious that different factors, including meteorological factors, influence the speed at which the disease is spread and the potential fatalities. However, the impact of each factor on the speed at which C…
Infectivity Upsurge by Covid-19 Viral Variants in Japan
The significant health and economic effects of COVID-19 emphasize the requirement for reliable forecasting models to avoid the sudden collapse of healthcare facilities with overloaded hospitals. Several forecasting models have been developed based on the data acquired within the early stages of the virus spread. However, with the recent emergence of new virus variants, it is unclear how the new strains could influence the efficiency of forecastin…
Influence of Absolute Humidity, Temperature and Population Density on Covid-19 Spread and Decay Durations
This study analyzed the spread and decay durations of the COVID-19 pandemic in different prefectures of Japan. During the pandemic, affordable healthcare was widely available in Japan and the medical system did not suffer a collapse, making accurate comparisons between prefectures possible. For the 16 prefectures included in this study that had daily maximum confirmed cases exceeding ten, the number of daily confirmed cases follow bell-shape or l…
Correlation between Covid-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity
This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial i…
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Influence of Absolute Humidity, Temperature and Population Density on Covid-19 Spread and Decay Durations
This study analyzed the spread and decay durations of the COVID-19 pandemic in different prefectures of Japan. During the pandemic, affordable healthcare was widely available in Japan and the medical system did not suffer a collapse, making accurate comparisons between prefectures possible. For the 16 prefectures included in this study that had daily maximum confirmed cases exceeding ten, the number of daily confirmed cases follow bell-shape or l…
Correlation between Covid-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity
This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial i…
Social implementation and intervention with estimated morbidity of heat-related illnesses from weather data
One-Year Lesson
With the wide spread of COVID-19 and the corresponding negative impact on different life aspects, it becomes important to understand ways to deal with the pandemic as a part of daily routine. After a year of the COVID-19 pandemic, it has become obvious that different factors, including meteorological factors, influence the speed at which the disease is spread and the potential fatalities. However, the impact of each factor on the speed at which C…
Infectivity Upsurge by Covid-19 Viral Variants in Japan
The significant health and economic effects of COVID-19 emphasize the requirement for reliable forecasting models to avoid the sudden collapse of healthcare facilities with overloaded hospitals. Several forecasting models have been developed based on the data acquired within the early stages of the virus spread. However, with the recent emergence of new virus variants, it is unclear how the new strains could influence the efficiency of forecastin…
The Effects of Time Window-Averaged Mobility on Effective Reproduction Number of Covid-19 Viral Variants in Urban Cities
During epidemics, the estimation of the effective reproduction number (ERN) associated with infectious disease is a challenging topic for policy development and medical resource management. The emergence of new viral variants is common in widespread pandemics including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A simple approach is required toward an appropriate and timely policy decision for understanding the potential ERN…
Medicine (6 works) · Coronavirus disease 2019 (COVID-19 (5 works) · COVID-19 epidemiological studies (5 works) · Computer Science (4 works) · Disease (4 works) · Geography (4 works) · Pandemic (4 works) · Virology (4 works) · COVID-19 Pandemic Impacts (3 works) · Demography (3 works)