Research Overview
Our research focuses on characterizing ecological processes of vector-borne disease (VBD) emergence and transmission, particularly those influenced by human activities. By developing novel model frameworks, we describe how altered host-vector contact patterns and vector-microbe interactions influence VBD transmission dynamics. It is critical that we understand how environmental and social changes impact the interaction between hosts, vectors, and microbes in order to better manage ecological drivers and human behaviors so as to lessen the substantial public health threat posed by VBDs. To this end, we combine mathematical models and bioinformatic tools with field studies and laboratory research to formulate frameworks that link environmental and social changes to host-vector contact as well as vector’s microbial and viral communities affecting disease emergence and transmission.
Host-vector contact rate and disease ecology
The spread of VBD is fundamentally driven by the contact rate between the vertebrate host and vector. Despite the key role that host-vector contact rate has in driving disease transmission, most research assesses transmission risk primarily through the lens of vector density, and overlooks host-vector contact dynamics. Using mosquito-borne disease transmission as a model system, my research program aims to fill this gap in knowledge by incorporating innovative field survey tools and laboratory experiments to quantify the rate and pattern of host-mosquito contact. The carefully designed field and experimental studies are grounded in theoretical and ecological frameworks. Thus, the collected data can be readily incorporated in mathematical models to elucidate how variations in host community structure, its biology, and other environmental factors such as climate change, lead to heterogeneity in contact dynamics that drive VBD transmission.
Human influence on vector’s microbiome and virome
Vector-associated microorganisms and viruses can significantly impact VBD transmission. Combining Next Generation Sequencing and bioinformatic tools with laboratory research, I investigate how human activities can influence the composition and diversity of vector-associated microorganisms and viruses, highlighting the complex yet ubiquitous relationship between human, vector, and their symbionts. These experiments also lead to the identification of previously unknown or neglected mosquito-specific parasites with significant public health implications.
Host-vector contact rate and disease ecology
The spread of VBD is fundamentally driven by the contact rate between the vertebrate host and vector. Despite the key role that host-vector contact rate has in driving disease transmission, most research assesses transmission risk primarily through the lens of vector density, and overlooks host-vector contact dynamics. Using mosquito-borne disease transmission as a model system, my research program aims to fill this gap in knowledge by incorporating innovative field survey tools and laboratory experiments to quantify the rate and pattern of host-mosquito contact. The carefully designed field and experimental studies are grounded in theoretical and ecological frameworks. Thus, the collected data can be readily incorporated in mathematical models to elucidate how variations in host community structure, its biology, and other environmental factors such as climate change, lead to heterogeneity in contact dynamics that drive VBD transmission.
Human influence on vector’s microbiome and virome
Vector-associated microorganisms and viruses can significantly impact VBD transmission. Combining Next Generation Sequencing and bioinformatic tools with laboratory research, I investigate how human activities can influence the composition and diversity of vector-associated microorganisms and viruses, highlighting the complex yet ubiquitous relationship between human, vector, and their symbionts. These experiments also lead to the identification of previously unknown or neglected mosquito-specific parasites with significant public health implications.
Publications at the Google Scholar profile