Forecast model analysis for the morbidity of tuberculosis in Xinjiang, China.
Tuberculosis is a major global public health problem, which also affects economic and social development. China has the second largest burden of tuberculosis in the world. The tuberculosis morbidity in Xinjiang is much higher than the national situation; therefore, there is an urgent need for monito...
Main Authors: | Yan-Ling Zheng, Li-Ping Zhang, Xue-Liang Zhang, Kai Wang, Yu-Jian Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0116832 |
Similar Items
-
A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China
by: Shan Liu, et al.
Published: (2016-01-01) -
Predicting the number of visceral leishmaniasis cases in Kashgar, Xinjiang, China using the ARIMA-EGARCH model
by: Hu-ling Li, et al.
Published: (2020-01-01) -
Mycobacterium tuberculosis Lineage Distribution in Xinjiang and Gansu Provinces, China
by: Haixia Chen, et al.
Published: (2017-04-01) -
The Impacts of Soil Moisture Initialization on the Forecasts of Weather Research and Forecasting Model: A Case Study in Xinjiang, China
by: Hailiang Zhang, et al.
Published: (2020-07-01) -
Genotypes and drug susceptibility of Mycobacterium tuberculosis Isolates in Shihezi, Xinjiang Province, China
by: Zhang Juan, et al.
Published: (2012-06-01)