Global Infectious Diseases Data Analysis

Infectious diseases have greatly affected the development of human history, owing to their unpredictable zoonotic characteristics. The recording of infectious diseases epidemic data provides information on disease transmission trends and enables research on the risk of penitential epidemics and the mechanisms of transmission of infectious diseases.

The collection of data on contagious diseases offers valuable quantitative evidence to support effective pandemic control strategies. This section of Zoonoses was originally established to provide monthly updates on global trends in major infectious diseases, accompanied by brief epidemiological summaries. Beginning in 2025, these updates will be published twice yearly.

These articles present timely summaries of infectious disease data collected and analysed by a clinical laboratory team from the Department of Laboratory Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.

Designed to support public health awareness and clinical reference, they provide observational updates on disease trends rather than original scientific research. While grounded in current data and medical reporting, these articles are not peer-reviewed research studies, but instead offer structured, regular insights compiled for informational and archival purposes.

Annual Summary of Global Infectious Diseases in 2024

July to September 2024

April to June 2024

January to March 2024

September to December 2023

August 2023

July 2023

June 2023

May 2023

April 2023

March 2023

February 2023

January 2023

December 2022

November 2022

October 2022 

September 2022

August 2022

Zoonoses is fully open access journal for research scientists, physicians, veterinarians, and public health professionals working on diverse disciplinaries of zoonotic diseases.

Zoonoses is now open for submissions; articles can be submitted online at https://mc04.manuscriptcentral.com/zoonoses

Zoonoses is available on ScienceOpen (https://www.scienceopen.com/search#collection/839df240-327f-47dd-b636-9b728dff9700).