Related Experiment Video
Updated: Oct 15, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Epidemiology of COVID-19 in Jiangxi, China: A retrospective observational study
Yonghai Dong1, Sheng Ding1, Jingyu Zhang2
1Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi, China.
Insights
The COVID-19 epidemic in Jiangxi Province spread rapidly, with effective control achieved in under a month. Jiangxi
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Dynamics
Background:
- The emergence of coronavirus disease 2019 (COVID-19) presented a significant global health challenge.
- Understanding the epidemiological patterns of COVID-19 in specific regions is crucial for effective control.
Purpose of the Study:
- To analyze the epidemiological characteristics of COVID-19 in Jiangxi Province, China.
- To evaluate the effectiveness of prevention and control strategies implemented in the region.
Main Methods:
- Data collection from official health committee websites (Jiangxi, Hubei, National).
- Utilized ArcGIS 10.0 for spatial distribution mapping of cases.
- Analysis of epidemic trends, incidence, and outcomes from January 21 to April 9, 2020.
Main Results:
- The first case was reported on January 21, 2020, with rapid spread to all cities by January 27.
- The outbreak peaked on February 3, with 937 confirmed cases and a cumulative incidence of 2.02/100,000 by April 9.
- High recovery rate (99.89%) with one fatality; epidemic trend mirrored national patterns (excluding Hubei).
Conclusions:
- Jiangxi Province experienced a widespread and rapidly developing COVID-19 epidemic.
- Targeted prevention and control measures led to effective epidemic control within a month.
- The adopted strategies and measures were proven effective in managing the COVID-19 outbreak.
Abstract:
To analyze the epidemiological characteristics of coronavirus disease 2019 (COVID-19) in Jiangxi Province, China, from January 21 to April 9, 2020.COVID-19 epidemic information was obtained from the official websites of the Jiangxi Provincial Health Committee, Hubei Provincial Health Committee, and National Health Commission of the People's Republic of China. ArcGIS 10.0 was used to draw a map of the spatial distribution of the cases.On January 21, 2020, the first COVID-19 confirmed case in Jiangxi was reported. By January 27, COVID-19 had spread rapidly to all cities in Jiangxi. The outbreak peaked on February 3, with a daily incidence of 85 cases. The last indigenous case reported on February 27. From January 21 to April 9, a total of 937 confirmed cases of COVID-19 were reported, with a cumulative incidence of 2.02/100,000. Of those, 936 patients (99.89%) were cured, and 1 (0.11%) died due to COVID-19. The COVID-19 epidemic trend in Jiangxi was basically consistent with the national epidemic trend (except Hubei). Throughout the epidemic prevention and control phase, Jiangxi province has taken targeted prevention and control measures based on the severity of the spread of COVID-19.The COVID-19 epidemic in Jiangxi was widespread and developed rapidly. In less than 1 month, the epidemic situation was effectively controlled, and the epidemic situation shifted to a low-level distribution state. All these proved that the COVID-19 prevention and control strategies and measures adopted by Jiangxi Province were right, positive and effective.
More Related Videos
06:34A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma
Published on: June 4, 2017
10:53Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
Published on: March 17, 2023
Related Concept Videos
Bias in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Confounding in Epidemiological Studies
Single Nucleotide Polymorphisms-SNPs
Causality in Epidemiology