# COVID-19 transmission risk in Surabaya and Sidoarjo: an inhomogeneous marked Poisson point process approach
> Choiruddin A.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85147747598
Jurnal / Konferensi: Stochastic Environmental Research and Risk Assessment
Tahun terbit: 2023
DOI: https://doi.org/10.1007/s00477-023-02393-5
ISSN: 14363240
Kuartil SJR: Q1
Citations: 15

## Authors
- Choiruddin A.

## Abstract
Abstract Understanding the spatio-temporal dynamics of COVID-19 transmission is necessary to plan better strategies for controlling the spread of the disease. However, only a few studies explore the COVID-19 transmission risk over a fine spatial resolution while considering relevant spatial and temporal factors. To this aim, we consider an inhomogeneous marked Poisson point process model to assess COVID-19 transmission risk using data of home addresses of confirmed cases, in relation to locations of sources of crowd (enterprise, market, and place of worship) and population density in Surabaya and Sidoarjo, Indonesia. Our marked model is able to analyze how the spatial covariates are varying with time, helping authorities to evaluate the information of covariates depending on the period in which restrictions are taking place. Our results show that enterprise, place of worship, and population densities have significant impact to the transmission risk in Surabaya and Sidoarjo. We finally provide predicted risk maps which provide additional information based on the demographic-based risk analysis to help conduct more efficient testing, tracing, and vaccination programs.

## Keywords
- Transmission (telecommunications)
- Poisson regression
- Population
- Coronavirus disease 2019 (COVID-19)
- Poisson distribution
- Covariate
- Point process
- Computer science
- Statistics
- Medicine
- Mathematics
- Environmental health
- Disease
- Telecommunications
- Pathology
- Infectious disease (medical specialty)

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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