Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore
Singapore experiences endemic dengue. Vector control remains the primary means to reduce transmission due to the lack of available therapeutics. Resource limitations mean that vector-control tools need to be optimized, which can be achieved by studying risk factors related to disease transmission. W...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173970 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-173970 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1739702024-03-10T15:37:48Z Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore Tewari, Pranav Guo, Peihong Dickens, Borame Ma, Pei Bansal, Somya Lim, Jue Tao Lee Kong Chian School of Medicine (LKCMedicine) Medicine, Health and Life Sciences Dengue Non-linear associations Singapore experiences endemic dengue. Vector control remains the primary means to reduce transmission due to the lack of available therapeutics. Resource limitations mean that vector-control tools need to be optimized, which can be achieved by studying risk factors related to disease transmission. We developed a statistical modelling framework which can account for a high-resolution and high-dimensional set of covariates to delineate spatio-temporal characteristics that are associated with dengue transmission from 2014 to 2020 in Singapore. We applied the proposed framework to two distinct datasets, stratified based on the primary type of housing within each spatial unit. Generalized additive models reveal non-linear exposure responses between a large range of ecological and anthropogenic factors as well as dengue incidence rates. At values below their mean, lesser mean total daily rainfall (Incidence rate ratio (IRR): 3.75, 95% CI: 1.00-14.05, Mean: 4.40 mm), decreased mean windspeed (IRR: 3.65, 95% CI: 1.87-7.10, Mean: 4.53 km/h), and lower building heights (IRR: 2.62, 95% CI: 1.44-4.77, Mean: 6.5 m) displayed positive associations, while higher than average annual NO2 concentrations (IRR: 0.35, 95% CI: 0.18-0.66, Mean: 13.8 ppb) were estimated to be negatively associated with dengue incidence rates. Our study provides an understanding of associations between ecological and anthropogenic characteristics with dengue transmission. These findings help us understand high-risk areas of dengue transmission, and allows for land-use planning and formulation of vector control policies. Ministry of Education (MOE) National Research Foundation (NRF) Published version This research is hosted by CNRS@CREATE and supported by the National Research Foundation, Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise (CREATE) program, and is funded by the Lee Kong Chian School of Medicine—Ministry of Education Start-Up Grant. 2024-03-08T04:36:41Z 2024-03-08T04:36:41Z 2023 Journal Article Tewari, P., Guo, P., Dickens, B., Ma, P., Bansal, S. & Lim, J. T. (2023). Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore. Viruses, 15(9), 1917-. https://dx.doi.org/10.3390/v15091917 1999-4915 https://hdl.handle.net/10356/173970 10.3390/v15091917 37766323 2-s2.0-85172467180 9 15 1917 en Viruses © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Medicine, Health and Life Sciences Dengue Non-linear associations |
spellingShingle |
Medicine, Health and Life Sciences Dengue Non-linear associations Tewari, Pranav Guo, Peihong Dickens, Borame Ma, Pei Bansal, Somya Lim, Jue Tao Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
description |
Singapore experiences endemic dengue. Vector control remains the primary means to reduce transmission due to the lack of available therapeutics. Resource limitations mean that vector-control tools need to be optimized, which can be achieved by studying risk factors related to disease transmission. We developed a statistical modelling framework which can account for a high-resolution and high-dimensional set of covariates to delineate spatio-temporal characteristics that are associated with dengue transmission from 2014 to 2020 in Singapore. We applied the proposed framework to two distinct datasets, stratified based on the primary type of housing within each spatial unit. Generalized additive models reveal non-linear exposure responses between a large range of ecological and anthropogenic factors as well as dengue incidence rates. At values below their mean, lesser mean total daily rainfall (Incidence rate ratio (IRR): 3.75, 95% CI: 1.00-14.05, Mean: 4.40 mm), decreased mean windspeed (IRR: 3.65, 95% CI: 1.87-7.10, Mean: 4.53 km/h), and lower building heights (IRR: 2.62, 95% CI: 1.44-4.77, Mean: 6.5 m) displayed positive associations, while higher than average annual NO2 concentrations (IRR: 0.35, 95% CI: 0.18-0.66, Mean: 13.8 ppb) were estimated to be negatively associated with dengue incidence rates. Our study provides an understanding of associations between ecological and anthropogenic characteristics with dengue transmission. These findings help us understand high-risk areas of dengue transmission, and allows for land-use planning and formulation of vector control policies. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Tewari, Pranav Guo, Peihong Dickens, Borame Ma, Pei Bansal, Somya Lim, Jue Tao |
format |
Article |
author |
Tewari, Pranav Guo, Peihong Dickens, Borame Ma, Pei Bansal, Somya Lim, Jue Tao |
author_sort |
Tewari, Pranav |
title |
Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
title_short |
Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
title_full |
Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
title_fullStr |
Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
title_full_unstemmed |
Associations between dengue incidence, ecological factors, and anthropogenic factors in Singapore |
title_sort |
associations between dengue incidence, ecological factors, and anthropogenic factors in singapore |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173970 |
_version_ |
1794549382075383808 |