Burden of infectious diseases and bacterial antimicrobial resistance in China: a systematic analysis for the global burden of disease study 2019.

ABSTRACT:

Background

Infectious diseases and antimicrobial resistance (AMR) has become pressing concerns in China. We aimed to comprehensively investigate the burden of them.

Methods

Data on infectious diseases and AMR were collected by the Global Antimicrobial Resistance Burden study 2019. Multinomial network meta-regression, logistic regression, and ensemble Spatiotemporal Gaussian process regression were used to fit the number and rate in DisMod-MR 2.1 modelling framework. We reported the number and rates of the disease burdens of 12 infectious syndromes by age and sex; described the burden caused by 43 pathogens; estimated the AMR burden of 22 bacteria and bacteria-antibiotics combinations.

Findings

There were an estimated 1.3 million (95% uncertainty intervals, UI 0.8-1.9)

SUBMITTER: Zhang C 

PROVIDER: S-EPMC10700598 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature