Risk Assessment of Dengue Transmission in Bangladesh Using a Spatiotemporal Network Model and Climate Data
Author:
Affiliation:
1. 1Department of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, Kansas;
2. 2United States Department of Agriculture, Arthropod-borne Animal Diseases Research, Manhattan, Kansas
Abstract
Publisher
American Society of Tropical Medicine and Hygiene
Subject
Virology,Infectious Diseases,Parasitology
Link
https://www.ajtmh.org/downloadpdf/journals/tpmd/104/4/article-p1444.xml
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1. Predominant dengue virus serotype in Dhaka, Bangladesh: A research letter on samples from 2022 outbreak;Health Science Reports;2024-01
2. Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review;BMC Public Health;2023-12-07
3. Self-reported critical gaps in the essential knowledge and capacity of spatial epidemiology between the current university education and competency-oriented professional demands in preparing for a future pandemic among public health postgraduates in China: a nationwide cross-sectional survey;BMC Medical Education;2023-09-07
4. Spatial Model of Dengue Hemorrhagic Fever (DHF) Risk: Scoping Review;2023-06-27
5. PICTUREE—Aedes: A Web Application for Dengue Data Visualization and Case Prediction;Pathogens;2023-05-29
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