ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL
On February 11th, 2020, WHO announced a new virus that infecst the respiratory tract which later identified as COVID-19 and then spreads rapidly and massively throughout the world, including Indonesia. During COVID-19 pandemic occur in Indonesia, many policies were implemented by the government to c...
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id-itb.:540922021-03-15T11:02:16ZANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL Soraya Sekarputri, Nabila Indonesia Theses pandemic, epicentrum, timelag, people’s movement, addition of COVID-19 cases INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/54092 On February 11th, 2020, WHO announced a new virus that infecst the respiratory tract which later identified as COVID-19 and then spreads rapidly and massively throughout the world, including Indonesia. During COVID-19 pandemic occur in Indonesia, many policies were implemented by the government to control COVID-19 spread in Indonesia. These policies implemented generally aim to limit the people’s activites and movement, both within-city and intercity movement. This is due to the assumption that people’s movemet plays a role as COVID-19’s location spread and as a vector that carries the virus from one place to another. However, the incubation period causes people’s movement to indirectly affect the addition of COVID-19 cases on the same day. So, the purpose of this study are to identify the timelag and the relation between people’s movement and the addition of COVID-19 cases; the effect of the policy implementation on additional COVID-19 cases and people’s movement for the buffer areas of DKI Jakarta and Bandung City. In this study, historical data on daily increase of COVID-19 cases were obtained from PIKOBAR. People’s movement data before the pandemic in DKI Jakarta buffer area were obtained from Lotadata, while in Bandung City buffer area were obtained from BLCMP and BUMP. To obtain changes in the volume of daily community trips during pandemic, the daily percentage change in people’s movement obtained from Facebook Mobility Data is used. The data are then processed using the correlation approach. Significant findings that can be obtained from this study include the timelag between travel and the daily increased COVID-19 cases tends to decrease over time, people’s movement is not always significant to the addition of COVID-19 cases throught the pandemic, and the implementation of PSBB is more effective to be applied to buffer area of Bandung City compared to the buffer area of DKI Jakarta. text |
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On February 11th, 2020, WHO announced a new virus that infecst the respiratory tract which later identified as COVID-19 and then spreads rapidly and massively throughout the world, including Indonesia. During COVID-19 pandemic occur in Indonesia, many policies were implemented by the government to control COVID-19 spread in Indonesia. These policies implemented generally aim to limit the people’s activites and movement, both within-city and intercity movement. This is due to the assumption that people’s movemet plays a role as COVID-19’s location spread and as a vector that carries the virus from one place to another. However, the incubation period causes people’s movement to indirectly affect the addition of COVID-19 cases on the same day. So, the purpose of this study are to identify the timelag and the relation between people’s movement and the addition of COVID-19 cases; the effect of the policy implementation on additional COVID-19 cases and people’s movement for the buffer areas of DKI Jakarta and Bandung City.
In this study, historical data on daily increase of COVID-19 cases were obtained from PIKOBAR. People’s movement data before the pandemic in DKI Jakarta buffer area were obtained from Lotadata, while in Bandung City buffer area were obtained from BLCMP and BUMP. To obtain changes in the volume of daily community trips during pandemic, the daily percentage change in people’s movement obtained from Facebook Mobility Data is used. The data are then processed using the correlation approach. Significant findings that can be obtained from this study include the timelag between travel and the daily increased COVID-19 cases tends to decrease over time, people’s movement is not always significant to the addition of COVID-19 cases throught the pandemic, and the implementation of PSBB is more effective to be applied to buffer area of Bandung City compared to the buffer area of DKI Jakarta.
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Soraya Sekarputri, Nabila |
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Soraya Sekarputri, Nabila ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
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Soraya Sekarputri, Nabila |
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Soraya Sekarputri, Nabila |
title |
ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
title_short |
ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
title_full |
ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
title_fullStr |
ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
title_full_unstemmed |
ANALYSIS OF THE EFFECTS OF PEOPLEâS MOVEMENT ON DAILY INCREASE OF COVID-19 CASES AT CITY LEVEL |
title_sort |
analysis of the effects of peopleâs movement on daily increase of covid-19 cases at city level |
url |
https://digilib.itb.ac.id/gdl/view/54092 |
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