Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages
The Covid-19 pandemic is still ongoing around the world. This study aims to predict the reproduction number, R0 for Covid-19 to measure the infectious level of this disease to the general population. To predict the reproduction number, a prediction method using the Probability Mass function is used...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34220/1/Transmissibility%20prediction%20of%20coronavirus%20disease%20%28covid-19%29%20outbreak%20in%20early%20stages.CITREX2021..pdf |
| _version_ | 1825823991592386560 |
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| author | Wong, Jordan Kohbalan, Moorthy |
| author_facet | Wong, Jordan Kohbalan, Moorthy |
| author_sort | Wong, Jordan |
| collection | UMP |
| description | The Covid-19 pandemic is still ongoing around the world. This study aims to predict the reproduction number, R0 for Covid-19 to measure the infectious level of this disease to the general population. To predict the reproduction number, a prediction method using the Probability Mass function is used with the dataset for the Covid-19 disease. This result has been divided into the first wave, second wave and third wave which suggest that the R0 is increased which correlate with the new strain of Covid-19 mutation “D614G” that is more infectious compared to the first wave strain. In a nutshell, with the R0 has been predicted, a containment plan is possible to curb the disease from spreading even further to the general population. |
| first_indexed | 2024-03-06T12:57:28Z |
| format | Conference or Workshop Item |
| id | UMPir34220 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:57:28Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | UMPir342202022-07-29T00:58:38Z http://umpir.ump.edu.my/id/eprint/34220/ Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages Wong, Jordan Kohbalan, Moorthy QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The Covid-19 pandemic is still ongoing around the world. This study aims to predict the reproduction number, R0 for Covid-19 to measure the infectious level of this disease to the general population. To predict the reproduction number, a prediction method using the Probability Mass function is used with the dataset for the Covid-19 disease. This result has been divided into the first wave, second wave and third wave which suggest that the R0 is increased which correlate with the new strain of Covid-19 mutation “D614G” that is more infectious compared to the first wave strain. In a nutshell, with the R0 has been predicted, a containment plan is possible to curb the disease from spreading even further to the general population. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34220/1/Transmissibility%20prediction%20of%20coronavirus%20disease%20%28covid-19%29%20outbreak%20in%20early%20stages.CITREX2021..pdf Wong, Jordan and Kohbalan, Moorthy (2021) Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published) |
| spellingShingle | QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Wong, Jordan Kohbalan, Moorthy Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title | Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title_full | Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title_fullStr | Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title_full_unstemmed | Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title_short | Transmissibility prediction of coronavirus disease (covid-19) outbreak in early stages |
| title_sort | transmissibility prediction of coronavirus disease covid 19 outbreak in early stages |
| topic | QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/34220/1/Transmissibility%20prediction%20of%20coronavirus%20disease%20%28covid-19%29%20outbreak%20in%20early%20stages.CITREX2021..pdf |
| work_keys_str_mv | AT wongjordan transmissibilitypredictionofcoronavirusdiseasecovid19outbreakinearlystages AT kohbalanmoorthy transmissibilitypredictionofcoronavirusdiseasecovid19outbreakinearlystages |