Halmar Halide
Biographic Data
| ID | 9579705 |
|---|---|
| NAME | Halmar Halide |
| GIVEN NAMES | Halmar |
| FAMILY NAME | Halide |
| SIGNATURE | HALIDE H |
| AFFILIATIONS | Hasanuddin University |
| ORCID | 0000-0003-0449-7512 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Determining significant factors associated with daily Covid-19 cases within three social distancing regimes
OBJECTIVE: The COVID-19 pandemic put enormous socio-economic pressures on most countries all over the world. In order to contain the spread of the coronavirus, governments implemented both pharmaceutical and non-pharmaceutical interventions. This simple modeling work aims to quantify the effect of three levels of social distancing and large-scale testing on daily COVID-19 cases in Malaysia, Republic of Korea, and Japan. METHOD: The model uses a S…
Predicting Covid-19 confirmed cases in New York and DKI Jakarta by nonlinear fitting of a Bose–Einstein energy distribution and its implications on social restrictions
OBJECTIVE: Global society pays huge economic toll and live loss due to COVID-19 (Coronavirus Disease 2019) pandemic. In order to have a better management of this pandemic, many institutions develop their own models to predict number of COVID-19 cases, hospitalizations and mortalities. These models, however, are shown to be unreliable and need to be revised on a daily basis. METHODS: Here, we develop a Bose-Einstein (BE)-based statistical model to…
Factors affecting Covid-19 cases before epidemic peaks
OBJECTIVE: The COVID-19 pandemic has disrupted people's normal life as a result of strict policies applied to slow down the pandemic. To find out how extensive the virus spread is, most countries increase their daily testing rates. METHOD: This simple modelling work uses stringency index and daily testing (including the lagged version up to the previous 14 days) to predict daily COVID-19 cases in India and Indonesia. A Stepwise Multiple Regressio…
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Determining significant factors associated with daily Covid-19 cases within three social distancing regimes
OBJECTIVE: The COVID-19 pandemic put enormous socio-economic pressures on most countries all over the world. In order to contain the spread of the coronavirus, governments implemented both pharmaceutical and non-pharmaceutical interventions. This simple modeling work aims to quantify the effect of three levels of social distancing and large-scale testing on daily COVID-19 cases in Malaysia, Republic of Korea, and Japan. METHOD: The model uses a S…
Predicting Covid-19 confirmed cases in New York and DKI Jakarta by nonlinear fitting of a Bose–Einstein energy distribution and its implications on social restrictions
OBJECTIVE: Global society pays huge economic toll and live loss due to COVID-19 (Coronavirus Disease 2019) pandemic. In order to have a better management of this pandemic, many institutions develop their own models to predict number of COVID-19 cases, hospitalizations and mortalities. These models, however, are shown to be unreliable and need to be revised on a daily basis. METHODS: Here, we develop a Bose-Einstein (BE)-based statistical model to…
Factors affecting Covid-19 cases before epidemic peaks
OBJECTIVE: The COVID-19 pandemic has disrupted people's normal life as a result of strict policies applied to slow down the pandemic. To find out how extensive the virus spread is, most countries increase their daily testing rates. METHOD: This simple modelling work uses stringency index and daily testing (including the lagged version up to the previous 14 days) to predict daily COVID-19 cases in India and Indonesia. A Stepwise Multiple Regressio…
COVID-19 epidemiological studies (3 works) · Computer Science (2 works) · COVID-19 and Mental Health (2 works) · Demography (2 works) · Econometrics (2 works) · Mathematics (2 works) · Medicine (2 works) · Pandemic (2 works) · Predictability (2 works) · SARS-CoV-2 detection and testing (2 works)