Spatial analysis of acute respiratory infection incidence and their socioeconomic determinants: The case of Region IV-A in 2024
Clicks: 9
ID: 286829
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
2.4
/100
9 views
8 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #2,136 of 3,757 articles by views in Malay Journal
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
With Acute Respiratory Infection (ARI) being the leading cause of morbidity in Region IV-A (CALABARZON) since 2019, identifying spatial patterns and potential socio-economic risk factors would aid in improving regional infection control. The univariate spatial distribution of ARI incidence recorded by the Department of Health (DOH) across CALABARZON municipalities and cities (n=142) was explored. Geographically Weighted Regression (GWR) was conducted to identify the effect of socioeconomic factors, specifically the PhilHealth registry counts, number of public health facilities, number of healthcare workers, population density, and poverty incidence rate, on the ARI incidence of municipalities and cities. Positive spatial autocorrelation was found, with clustering of high incidence rates in the eastern part of Laguna and surrounding Quezon areas, and clustering of low incidence rates in Cavite and Batangas. GWR was found to be significant in producing a model for ARI incidence. Poverty incidence rate and healthcare facility counts were found to directly affect ARI incidence in the southern part of Quezon, while the population densities have an indirect but little effect in eastern parts of Laguna and surrounding Quezon municipalities. Using significant socioeconomic predictors, Poverty incidence and population densities had spatially varying effects on ARI incidence across the region, while the number of health facilities, while significant, had no spatially varying effect on ARI incidence. The GWR models provided better performance compared to ordinary least square (OLS) regression models suggesting that considering spatial variation improved model fit. With these results, other factors that affect ARI incidence need to be further investigated.
| Reference Key |
persistent_1760659781_68f18945aa457
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Santos, Rhea Trisha Ocampo |
| Journal | Malay Journal |
| Year | 2025 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.