Back to search

Article

Identifying Hotspots in the Distribution of Human Infectious Diseases Using a Bayesian Framework: A Lead to Drivers, Prevention, and Surveillance of Disease Emergence

2021-06-21

Abstract excerpt

<title>Abstract</title> <p>Background The ongoing COVID-19 pandemic underscores the need of surveillance system to detect threats and regions at high risk from emerging infectious diseases (EIDs). With the human-driven perturbations to the human-animal-pathogen interface at an ecological scale, the integration of these environmental drivers is essential. We propose robust mathematical models to map, detect, and i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
872954a2-a370-5c35-8208-5530a2fbc7f3
DOI
10.21203/rs.3.rs-613258/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identifying Hotspots in the Distribution of Human Infectious Diseases Using a Bayesian Framework: A Lead to Drivers, Prevention, and Surveillance of Disease EmergenceDOI 10.21203/rs.3.rs-613258/v1
Select a neighboring publication to make it the new centre.