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COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines
Small islands are highly susceptible to infectious disease outbreak and other health emergencies because of their remoteness, small physical size, and poorly developed infrastructure. These are true in the case of Marinduque, an island province around 200 km south of the National Capital Region (NCR...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136557/ http://dx.doi.org/10.1007/s41324-022-00444-7 |
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author | Salvacion, Arnold R. |
author_facet | Salvacion, Arnold R. |
author_sort | Salvacion, Arnold R. |
collection | PubMed |
description | Small islands are highly susceptible to infectious disease outbreak and other health emergencies because of their remoteness, small physical size, and poorly developed infrastructure. These are true in the case of Marinduque, an island province around 200 km south of the National Capital Region (NCR), which is the “epidemiological epicenter” of the COVID-19 pandemic in the Philippines. This study utilized GIS and Principal Component Analysis (PCA) using demographic, socio-economic, and geographic indicators to map susceptibility of different villages in the island province of Marinduque, the Philippines. Based on the results, the northwestern and northeastern portion of Marinduque has a higher susceptibility score. Also, villages in the town centers have relatively high susceptibility scores compared to other villages in each municipality. |
format | Online Article Text |
id | pubmed-9136557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-91365572022-06-02 COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines Salvacion, Arnold R. Spat. Inf. Res. Article Small islands are highly susceptible to infectious disease outbreak and other health emergencies because of their remoteness, small physical size, and poorly developed infrastructure. These are true in the case of Marinduque, an island province around 200 km south of the National Capital Region (NCR), which is the “epidemiological epicenter” of the COVID-19 pandemic in the Philippines. This study utilized GIS and Principal Component Analysis (PCA) using demographic, socio-economic, and geographic indicators to map susceptibility of different villages in the island province of Marinduque, the Philippines. Based on the results, the northwestern and northeastern portion of Marinduque has a higher susceptibility score. Also, villages in the town centers have relatively high susceptibility scores compared to other villages in each municipality. Springer Nature Singapore 2022-05-27 2022 /pmc/articles/PMC9136557/ http://dx.doi.org/10.1007/s41324-022-00444-7 Text en © The Author(s), under exclusive licence to Korean Spatial Information Society 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Salvacion, Arnold R. COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title | COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title_full | COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title_fullStr | COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title_full_unstemmed | COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title_short | COVID-19 susceptibility mapping: a case study for Marinduque Island, Philippines |
title_sort | covid-19 susceptibility mapping: a case study for marinduque island, philippines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136557/ http://dx.doi.org/10.1007/s41324-022-00444-7 |
work_keys_str_mv | AT salvacionarnoldr covid19susceptibilitymappingacasestudyformarinduqueislandphilippines |