Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka
Harendra de Silva,
Posted 09 Nov 2018
bioRxiv DOI: 10.1101/462150 (published DOI: 10.1186/s12879-020-05369-w)
Posted 09 Nov 2018
Background More than 80,000 dengue cases including 215 deaths were reported nationally in less than seven months between 2016-2017, a fourfold increase in the number of reported cases compared to the average number over 2010-2016. The region of Negombo, located in the Western province, experienced the greatest number of dengue cases in the country and is the focus area of our study, where we aim to capture the spatial-temporal dynamics of dengue transmission. Methods We present a statistical modeling framework to evaluate the spatial-temporal dynamics of the 2016-2017 dengue outbreak in the Negombo region of Sri Lanka as a function of human mobility, land-use, and climate patterns. The analysis was conducted at a 1 km × 1 km spatial resolution and a weekly temporal resolution. Results Our results indicate human mobility to be a stronger indicator for local outbreak clusters than land-use or climate variables. The minimum daily temperature was identified as the most influential climate variable on dengue cases in the region; while among the set of land-use patterns considered, urban areas were found to be most prone to dengue outbreak, followed by areas with stagnant water and then coastal areas. The results are shown to be robust across spatial resolutions. Conclusions Our study highlights the potential value of using travel data to target vector control within a region. In addition to illustrating the relative relationship between various potential risk factors for dengue outbreaks, the results of our study can be used to inform where and when new cases of dengue are likely to occur within a region, and thus help more effectively and innovatively, plan for disease surveillance and vector control. * DENV-2 : dengue virus type 2 HDU : High Dependency Unit CCMDDHF : Clinical Centre for Managing Dengue and Dengue Haemorrhagic Fever GSOD : Global Surface Summary of the Day Tavg : daily mean temperature Tmax : daily maximum temperature Tmin : daily minimum temperature DTR : diurnal temperature range Pre : precipitation RD : the number of raining days RH : relative humidity StWtr : Standing Water FlwWtr : Flowing Water BuiltUp : Built-up RockS : Rock/Sand OthAg : Other Agriculture
- Downloaded 421 times
- Download rankings, all-time:
- Site-wide: 52,386 out of 118,150
- In epidemiology: 2,205 out of 4,618
- Year to date:
- Site-wide: 50,387 out of 118,150
- Since beginning of last month:
- Site-wide: 59,184 out of 118,150
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!