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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.

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.

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.

Publications

10 25 50
 
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. The project has also formed the basis the Defra and UKRI funded One Health VBD Hub project which aims to enhance the relationship between VBD data community and policy makers.
First Year Of Impact 2023
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
 
Title Example 1: Long-format trapping data 
Description Each row captures count data for a single species' occurrence in a given sampling event. This illustrates an example of the most common mosquito collection protocol 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Example_1_Long-format_trapping_data/7599572/1
 
Title Example 2: Wide format trapping data 
Description Each row captures count data from a given sampling event. Each identified taxonomic group is identified in a separate column. An 'additional sample information' field, 'sub-location,' has been added to describe the various locations around the village where collections were made. This illustrates an example of adult mosquito populations that have been tracked over time and in specific locations. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact NA 
URL https://springernature.figshare.com/articles/Example_2_Wide_format_trapping_data/7599581
 
Title Example 2: Wide format trapping data 
Description Each row captures count data from a given sampling event. Each identified taxonomic group is identified in a separate column. An 'additional sample information' field, 'sub-location,' has been added to describe the various locations around the village where collections were made. This illustrates an example of adult mosquito populations that have been tracked over time and in specific locations. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Example_2_Wide_format_trapping_data/7599581/1
 
Title Example 3: Complex trapping data scenario 
Description Tick surveillance performed using tick drags and flags. The tick drags/flags report three life stages independently (adult, larvae, and nymph). Larvae are only identified to the genus, while adults and nymphs are identified to the species. Observations of different life stages and sexes are preferably documented in separate records. A Sample Name is used to help link these records (but would not be necessary.) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact NA 
URL https://springernature.figshare.com/articles/Example_3_Complex_trapping_data_scenario/7599578
 
Title Example 3: Complex trapping data scenario 
Description Tick surveillance performed using tick drags and flags. The tick drags/flags report three life stages independently (adult, larvae, and nymph). Larvae are only identified to the genus, while adults and nymphs are identified to the species. Observations of different life stages and sexes are preferably documented in separate records. A Sample Name is used to help link these records (but would not be necessary.) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact NA 
URL https://springernature.figshare.com/articles/Example_3_Complex_trapping_data_scenario/7599578/1
 
Title Example 4: Complex trapping data scenario 
Description Tick surveillance performed using collections of ectoparasites on trapped mice. The survey uses an additional sample information field to record the sex of the trapped mouse from which the parasites were collected. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact NA 
URL https://springernature.figshare.com/articles/Example_4_Complex_trapping_data_scenario/7599575/1
 
Title Example 4: Complex trapping data scenario 
Description Tick surveillance performed using collections of ectoparasites on trapped mice. The survey uses an additional sample information field to record the sex of the trapped mouse from which the parasites were collected. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact NA 
URL https://springernature.figshare.com/articles/Example_4_Complex_trapping_data_scenario/7599575
 
Title Variation in temperature of peak trait performance constrains adaptation of arthropod populations to climatic warming 
Description A new global dataset describing the temperature-dependence of 61 diverse arthropod species' population-fitness traits 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact This publication provided a data synthesis of trait data that can be used to parameterise other models and a novel model framework. 
URL https://springernature.figshare.com/articles/dataset/Variation_in_temperature_of_peak_trait_performa...
 
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/