US-UK EEID RCN: Vector Behavior in Transmission Ecology Research Coordination Network
Lead Research Organisation:
Imperial College London
Department Name: Life Sciences
Abstract
Many important animal and plant diseases are transmitted by vectors. In many cases, this vector is an insect that transmits the disease causing agent when it feeds. Transmission dynamics of these vector-borne diseases are very complex and difficult to predict. One area that has not been well studied is the effect of vector behaviour on transmission cycles. Specifically, we understand very little about how behaviour varies across vector life span, between individuals in a population, and in response to environmental variation. A better understanding of vector behaviour and how it effects disease transmission would improve our understanding of vector-borne disease dynamics, lead to more targeted models, and eventually to better informed disease control and policies.
The Vector Behavior in Transmission Ecology Research Coordination Network (VectorBiTE RCN) will facilitate investigation into the role of vector behaviour and life history in disease transmission dynamics. This US-UK collaborative network aims to accomplish this goal by promoting (1) the development of theoretical models that include more details of vector behaviour and heterogeneity; (2) improved data collection and statistical methods to enable such models to be confronted with data; (3) development of comprehensive and freely available validation datasets to allow testing of methods and comparison between proposed models in a transparent fashion; and (4) training of young researchers in these new tools and methods as they are developed. These objectives will be accomplished through: (A) annual meetings and workshops to bring together empirical and theoretical biologists across diverse systems and institutions; (B) the development of an online platform which will include repositories for data on vector behaviour and code for modelling the role of behaviour on transmission dynamics; and (C) providing opportunities to educate fellow researchers and the public about network advances via online and conference presentations.
The Vector Behavior in Transmission Ecology Research Coordination Network (VectorBiTE RCN) will facilitate investigation into the role of vector behaviour and life history in disease transmission dynamics. This US-UK collaborative network aims to accomplish this goal by promoting (1) the development of theoretical models that include more details of vector behaviour and heterogeneity; (2) improved data collection and statistical methods to enable such models to be confronted with data; (3) development of comprehensive and freely available validation datasets to allow testing of methods and comparison between proposed models in a transparent fashion; and (4) training of young researchers in these new tools and methods as they are developed. These objectives will be accomplished through: (A) annual meetings and workshops to bring together empirical and theoretical biologists across diverse systems and institutions; (B) the development of an online platform which will include repositories for data on vector behaviour and code for modelling the role of behaviour on transmission dynamics; and (C) providing opportunities to educate fellow researchers and the public about network advances via online and conference presentations.
Technical Summary
Many medically and economically important pathogens are spread by insect vectors. Vector-borne disease transmission is remarkably complex because interactions between pathogens, vectors, hosts, and their physical environment dictate dynamics. The biology of disease vectors has historically been studied in the context of control, leaving many aspects of the basic biology, especially behavior and life history, of these animals relatively ignored. Over the last several decades there has been a resurgence of interest in the biology of vectors, including how their behavior influences disease transmission dynamics. The emerging data have begun to provide new insights and have highlighted the potential importance of variation of vector behaviors and life history traits (1) across individual lifespan, (2) among individuals within populations, and (3) in response to environmental variation transmission dynamics.
The Vector Behavior in Transmission Ecology Research Coordination Network (VectorBiTE RCN) will facilitate investigation into the role of vector behaviour and life history in disease transmission dynamics. This US-UK collaborative network aims to accomplish this goal by promoting (1) the development of theoretical models that include more details of vector behaviour and heterogeneity; (2) improved data collection and statistical methods to enable such models to be confronted with data; (3) development of comprehensive and freely available validation datasets to allow testing of methods and comparison between proposed models in a transparent fashion; and (4) training of young researchers in these new tools and methods as they are developed.
The Vector Behavior in Transmission Ecology Research Coordination Network (VectorBiTE RCN) will facilitate investigation into the role of vector behaviour and life history in disease transmission dynamics. This US-UK collaborative network aims to accomplish this goal by promoting (1) the development of theoretical models that include more details of vector behaviour and heterogeneity; (2) improved data collection and statistical methods to enable such models to be confronted with data; (3) development of comprehensive and freely available validation datasets to allow testing of methods and comparison between proposed models in a transparent fashion; and (4) training of young researchers in these new tools and methods as they are developed.
Planned Impact
Researchers in the field of disease ecology: The RCN will result in an open access online database containing standardized data on vector behaviour and life history, along with code for modelling the impact of these on transmission. These resources together with other information will be made freely available to the disease ecology community. Ideally, these resources will be used to assess potential control strategies and lead to a better understanding of vector borne disease dynamics.
Early Career Scientists: Training early career scientists is a key component of this RCN. This includes workshops in years 3 and 4 targeted at early career investigators. These trainees will include early career scientists from underrepresented groups and regions.
Interested Public: Educational materials, including videos of presentations on vector borne diseases and training materials developed for the workshops, will shared on an open access website that will be built as part of this RCN.
This project has potential to contribute to the health and wealth of the nation by providing training in quantitative modelling to new researchers, creating new methods for assessing the risk and potential control of vector borne disease, and create new collaborations between the UK and USA researchers.
Early Career Scientists: Training early career scientists is a key component of this RCN. This includes workshops in years 3 and 4 targeted at early career investigators. These trainees will include early career scientists from underrepresented groups and regions.
Interested Public: Educational materials, including videos of presentations on vector borne diseases and training materials developed for the workshops, will shared on an open access website that will be built as part of this RCN.
This project has potential to contribute to the health and wealth of the nation by providing training in quantitative modelling to new researchers, creating new methods for assessing the risk and potential control of vector borne disease, and create new collaborations between the UK and USA researchers.
Organisations
People |
ORCID iD |
Lauren Cator (Principal Investigator) | |
Samraat Pawar (Co-Investigator) |
Publications
Cator L
(2017)
Editorial: Host Attractiveness and Malaria Transmission to Mosquitoes.
in The Journal of infectious diseases
Cator L
(2020)
The Role of Vector Trait Variation in Vector-Borne Disease Dynamics
in Frontiers in Ecology and Evolution
Cator L
(2017)
Malaria Altering Host Attractiveness and Mosquito Feeding.
in Trends in parasitology
Huxley PJ
(2022)
Competition and resource depletion shape the thermal response of population fitness in Aedes aegypti.
in Communications biology
Lefevre T
(2017)
Transmission traits of malaria parasites within the mosquito: Genetic variation, phenotypic plasticity, and consequences for control
in Evolutionary Applications
Murdock CC
(2017)
Immunity, host physiology, and behaviour in infected vectors.
in Current opinion in insect science
Pawar S
(2016)
Real versus Artificial Variation in the Thermal Sensitivity of Biological Traits.
in The American naturalist
Pawar S
(2024)
Variation in temperature of peak trait performance constrains adaptation of arthropod populations to climatic warming
in Nature Ecology & Evolution
Description | Through this award we have developed a network of researchers. Towards this goal we have: Our final meeting was been postponed due to the pandemic and was planned to take place virtually in the summer of 2021. As restrictions were still not permissible to in person meetings, we held a virtual meeting in August 2021. This was largely successful. We developed online training materials and used Zoom breakout rooms to guide ~50 students through training in topics ranging from data wrangling through to Bayesian statistics. In addition, the entire group spent considerable time discussing new online tools which have been launched last year. The VectorByte data platform was officially launched and has been launched and funded as a infrastructure project by NSF. It contains two open access online databases containing vector population and trait data. We are currently finalizing documentation and open access online training tools to complement this community resource. |
Exploitation Route | Welcome to join the network! |
Sectors | Environment,Healthcare |
URL | http://www.vectorbyte.org |
Description | The network has let to a NSF funded data platform VectorByte and the trainees from the network have started to establish their own research groups. Thus, the award has greatly contributed to the accessibility and equity of data across vector borne diseases. These data are currently being used to create and validate models projecting vector borne diseases such as dengue in Europe under climate change. The project continues to create opportunities for relevant researchers from a board range of field to interact which enhances capacity to respond to VBD threats. Further these collaborations are international in nature. |
First Year Of Impact | 2020 |
Sector | Education,Environment |
Impact Types | Policy & public services |
Title | Both consumptive and non-consumptive effects of predators impact mosquito populations and have implications for disease transmission |
Description | Predator-prey interactions influence prey traits through both consumptive and non-consumptive effects, and variation in these traits can shape vector-borne disease dynamics. Meta-analysis methods were employed to generate predation effect sizes by different categories of predators and mosquito prey. This analysis showed that multiple families of aquatic predators are effective in consumptively reducing mosquito survival, and that the survival of Aedes, Anopheles, and Culex mosquitoes is negatively impacted by consumptive effects of predators. Mosquito larval size was found to play a more important role in explaining the heterogeneity of consumptive effects from predators than mosquito genus. Mosquito survival and body size were reduced by non-consumptive effects of predators, but development time was not significantly impacted. In addition, Culex vectors demonstrated predator avoidance behavior during oviposition. The results of this meta-analysis suggest that predators limit disease transmission by reducing both vector survival and vector size, and that associations between drought and human West Nile virus cases could be driven by the vector behavior of predator avoidance during oviposition. These findings are likely to be useful to infectious disease modelers who rely on vector traits as predictors of transmission. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
URL | http://datadryad.org/stash/dataset/doi:10.5061/dryad.4qrfj6q9x |
Description | Bugs Day 2016! |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | Cator lab members put on a "Build a Mosquito!" booth at campus open day. The activity was aimed at primary ages school children. We taugh basic mosquito anatomy and biology. |
Year(s) Of Engagement Activity | 2016 |
URL | http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/administration/outreach/eventssummary/... |
Description | Pint of Science |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | Dr. Cator gave a presentation on the importance of mosquito ecology for understanding and controlling mosquito transmitted diseases as part of the international "Pint of Science" festival. |
Year(s) Of Engagement Activity | 2016 |
URL | https://pintofscience.co.uk/ |