Species Distribution Modelling of Aedes aegypti in two dengue‐endemic regions of Pakistan. Issue 3 (9th February 2016)
- Record Type:
- Journal Article
- Title:
- Species Distribution Modelling of Aedes aegypti in two dengue‐endemic regions of Pakistan. Issue 3 (9th February 2016)
- Main Title:
- Species Distribution Modelling of Aedes aegypti in two dengue‐endemic regions of Pakistan
- Authors:
- Fatima, Syeda Hira
Atif, Salman
Rasheed, Syed Basit
Zaidi, Farrah
Hussain, Ejaz - Abstract:
- Abstract: Objectives: Statistical tools are effectively used to determine the distribution of mosquitoes and to make ecological inferences about the vector‐borne disease dynamics. In this study, we utilised species distribution models to understand spatial patterns of Aedes aegypti in two dengue‐prevalent regions of Pakistan, Lahore and Swat. Species distribution models can potentially indicate the probability of suitability of Ae. aegypti once introduced to new regions like Swat, where invasion of this species is a recent phenomenon. Methods: The distribution of Ae. aegypti was determined by applying the MaxEnt algorithm on a set of potential environmental factors and species sample records. The ecological dependency of species on each environmental variable was analysed using response curves. We quantified the statistical performance of the models based on accuracy assessment and spatial predictions. Results: Our results suggest that Ae. aegypti is widely distributed in Lahore. Human population density and urban infrastructure are primarily responsible for greater probability of mosquito occurrence in this region. In Swat, Ae. aegypti has clumped distribution, where urban patches provide refuge to the species in an otherwise hostile heterogeneous environment and road networks are assumed to have facilitated in passive‐mediated dispersal of species. Conclusions: In Pakistan, Ae. aegypti is expanding its range northwards; this could be associated with rapid urbanisation,Abstract: Objectives: Statistical tools are effectively used to determine the distribution of mosquitoes and to make ecological inferences about the vector‐borne disease dynamics. In this study, we utilised species distribution models to understand spatial patterns of Aedes aegypti in two dengue‐prevalent regions of Pakistan, Lahore and Swat. Species distribution models can potentially indicate the probability of suitability of Ae. aegypti once introduced to new regions like Swat, where invasion of this species is a recent phenomenon. Methods: The distribution of Ae. aegypti was determined by applying the MaxEnt algorithm on a set of potential environmental factors and species sample records. The ecological dependency of species on each environmental variable was analysed using response curves. We quantified the statistical performance of the models based on accuracy assessment and spatial predictions. Results: Our results suggest that Ae. aegypti is widely distributed in Lahore. Human population density and urban infrastructure are primarily responsible for greater probability of mosquito occurrence in this region. In Swat, Ae. aegypti has clumped distribution, where urban patches provide refuge to the species in an otherwise hostile heterogeneous environment and road networks are assumed to have facilitated in passive‐mediated dispersal of species. Conclusions: In Pakistan, Ae. aegypti is expanding its range northwards; this could be associated with rapid urbanisation, trade and travel. The main implication of this expansion is that more people are at risk of dengue fever in the northern highlands of Pakistan. … (more)
- Is Part Of:
- Tropical medicine & international health. Volume 21:Issue 3(2016)
- Journal:
- Tropical medicine & international health
- Issue:
- Volume 21:Issue 3(2016)
- Issue Display:
- Volume 21, Issue 3 (2016)
- Year:
- 2016
- Volume:
- 21
- Issue:
- 3
- Issue Sort Value:
- 2016-0021-0003-0000
- Page Start:
- 427
- Page End:
- 436
- Publication Date:
- 2016-02-09
- Subjects:
- Aedes aegypti -- MaxEnt -- Vector ecology -- Pakistan
Aedes aegypti -- MaxEnt -- écologie du vecteur -- Pakistan
Aedes aegypti -- MaxEnt -- ecología de vectores -- Paquistán
Tropical medicine -- Periodicals
Public health -- Periodicals
616.988 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=tmi ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-3156 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/tmi.12664 ↗
- Languages:
- English
- ISSNs:
- 1360-2276
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9056.402000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1626.xml