Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hong-Qiu Pan"'
Autor:
Zhi-bin Liu, Li-ping Cheng, Hong-qiu Pan, Xiao-cui Wu, Fu-hui Lu, Jie Cao, Lei Wang, Wei Wei, Hong-yu Chen, Wei Sha, Qin Sun
Publikováno v:
Molecular Medicine, Vol 29, Iss 1, Pp 1-11 (2023)
Abstract Background The MeltPro TB assay (MeltPro) is a molecular rapid diagnostic test designed for detecting resistance to antituberculosis drugs. However, the performance of MeltPro as an initial diagnostic test for simultaneously detecting the pr
Externí odkaz:
https://doaj.org/article/2aac8448502240028536652d743d8eff
Publikováno v:
Infectious Diseases of Poverty, Vol 9, Iss 1, Pp 1-11 (2020)
Abstract Background Many studies have compared the performance of time series models in predicting pulmonary tuberculosis (PTB), but few have considered the role of meteorological factors in their prediction models. This study aims to explore whether
Externí odkaz:
https://doaj.org/article/9eef27c70e6b4ab5aaf8fb2877c9b021
Publikováno v:
BMC Health Services Research, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Tuberculosis patients often experience hospitalization. Inpatient services may result in high medical expenditures. It is important to explore the hospitalization rates of tuberculosis patients and the potential factors that are a
Externí odkaz:
https://doaj.org/article/178fd35aa53648fa9bbd1fecd913ae80
Publikováno v:
Infectious Diseases of Poverty, Vol 9, Iss 1, Pp 1-11 (2020)
Infectious Diseases of Poverty
Infectious Diseases of Poverty
Background Many studies have compared the performance of time series models in predicting pulmonary tuberculosis (PTB), but few have considered the role of meteorological factors in their prediction models. This study aims to explore whether incorpor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e3a2d1efca4f02bff2f41a953104511
https://doi.org/10.1186/s40249-020-00771-7
https://doi.org/10.1186/s40249-020-00771-7
Publikováno v:
SSRN Electronic Journal.
To explore whether incorporating meteorological factors can improve the performance of time series models in predicting pulmonary tuberculosis (PTB), we collected the monthly number of PTB cases and data of six meteorological factors in three cities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f709bacc782a66e14a353a359990e1
https://doi.org/10.2139/ssrn.3667848
https://doi.org/10.2139/ssrn.3667848
Additional file 1: Table S1. Description of monthly meteorological factors in the three cities between 2005 and 2017. Table S2. Alternative ARIMA models for the three cities. Table S3. The Spearman rank correlation coefficients between the monthly nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f2e11e3f1774778acd87a417e027868
