AASEC 2021
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

Relationship beetwen risk factors and vulneralability to COVID-19 in East Jakarta
Benny B. Suharto, Herika M. Taki, Pardomuan R. Sihombing, Komang A. P. Wijaya, Calista M. Gunandar

Urban and Regional Planning Department, Trisakti University


Abstract

The handling of the COVID-19 pandemic must be based on the right strategy which includes priority areas that need more attention. The priority areas that need attention are based on an assessment of the vulnerability of these areas to COVID-19 exposure. This study aims to assess the vulnerability of sub-districts in East Jakarta to COVID-19 exposure, using the Multiple Linear Regression and Classification method, with 6 independent variables, namely the number of gathering locations, the area of slum settlements, the number of poor households, population density, density of the elderly, comorbidities. The results of using the Classification method for various variables that are thought to have an effect on COVID-19 susceptibility show an irregular pattern, while the results of the Multiple Linear Regression method show that of the 6 independent variables, only 2 independent variables are factors that affect the susceptibility of COVID-19 in Jakarta. East, namely 1) patients with comorbidities/TB, and 2) the density of the elderly. Patients with co-morbidities/TB have a significant positive effect on the number of positive COVID-19 cases, meaning that the number of patients with co-morbidities/TB in an area tends to increase active COVID-19 cases in that area. On the other hand, the density of the elderly has a significant negative effect on the number of positive COVID-19 cases, meaning that the higher density of the elderly actually reduces the number of COVID-19 cases.

Keywords: COVID-19, assessment, vulnerability, slum, poor, elderly, density, comorbidities

Topic: Symposium on Energy and Environmental Science and Engineering

Plain Format | Corresponding Author (Rini Setiati)

Share Link

Share your abstract link to your social media or profile page

AASEC 2021 - Conference Management System

Powered By Konfrenzi Ultimate 1.832M-Build2 © 2007-2025 All Rights Reserved