Postdoctoral Fellowship: MPS-Ascend: Advancing Mosquito-borne Disease Models with Distributed Delay Equations

凯尔达林博士被授予美国国家科学基金会数学和物理科学上升博士后研究奖学金（NSF MPS-Ascend）进行研究，教育和活动的计划，扩大在干代表性不足的群体的参与。该奖学金支持题为“用分布式延迟方程推进蚊媒疾病模型”的研究项目。项目活动将在主办机构弗吉尼亚理工学院和州立大学进行，由Lauren查尔兹博士指导。蚊媒疾病是人类面临的最大挑战之一，但了解其驱动因素是一项挑战，因为传播涉及三种生物体之间的相互作用：病媒、宿主和寄生虫。该项目需要开发新的蚊媒疾病传播模型，通过三个目标将关键的生物和生态过程纳入其中：（i）将现实的蚊子喂养行为纳入数学模型;（ii）将行为动力学纳入蚊子-宿主接触模型;（iii）将这些蚊子行为联合收割机纳入疾病传播模型。这项工作将与几项扩大参与的活动同时进行，这些活动旨在增加夏威夷土著人和其他太平洋岛民对STEM的参与，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。

Dr. Kyle Dahlin is awarded a National Science Foundation Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research, education, and activities related to broadening participation by groups underrepresented in STEM. This fellowship supports the research project entitled "Advancing Mosquito-borne Disease Models with Distributed Delay Equations". The project activities will be conducted at the host institution, Virginia Polytechnic Institute and State University, under the mentorship of Dr. Lauren Childs.Mosquito-borne diseases are one of the greatest challenges faced by humanity, but understanding their drivers is a challenge as transmission involves interactions between three organisms: vector, host and parasite. This project entails developing novel models of mosquito-borne disease transmission to incorporate key biological and ecological processes via three objectives: (i) incorporate realistic mosquito feeding behaviors into mathematical models; (ii) integrate behavioral dynamics into mosquito-host contact models; and (iii) combine these mosquito behaviors into disease transmission models. This work will be conducted in parallel with several broadening participation activities aimed at increasing the participation of Native Hawaiian and other Pacific Islanders in STEM, including the development of a calculus curriculum that incorporates topics from traditional Pacific Islander practices of oceanic wayfinding.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.