Estimating short- and long-term impact of COVID-19 on air quality, human health, and economic losses in China through machine learning counterfactual simulations All Restricted

Cheng, Haoran (Spring 2022)

Permanent URL: https://etd.library.emory.edu/concern/etds/2514nm67f?locale=en
Published

Abstract

This abstract is under embargo until 27 May 2024

Table of Contents

This table of contents is under embargo until 27 May 2024

About this Honors Thesis

Rights statement

Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Emory College
Department	Environmental Studies
Subfield / Discipline	Environmental Health - MPH
Degree	B.S.
Submission	Honors Thesis
Language	English
Research Field	Environmental Sciences Environmental Health Health Sciences, Public Health
Keyword	COVID-19 Air pollution Health Economic Losses Pre-mature mortality Machine Learning
Committee Chair / Thesis Advisor	Saikawa, Eri, Emory University
Committee Members	Liu, Yang, Emory University Rho, Seunghwa, Emory University

Last modified

Preview image embargoed

Primary PDF

Thumbnail	Title	Date Uploaded	Actions
	File download under embargo until 27 May 2024	2022-04-12 23:46:57 -0400	File download under embargo until 27 May 2024

Supplemental Files