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1.
[Analysis of schistosomiasis prevalence in endemic areas using retrospective space-time permutation scan statistics].
Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi
; 35(1): 68-74, 2017 02.
Artículo
en Zh
| MEDLINE | ID: mdl-30134087
2.
Recognizing and monitoring infectious sources of schistosomiasis by developing deep learning models with high-resolution remote sensing images.
Infect Dis Poverty
; 12(1): 6, 2023 Feb 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-36747280
3.
Potential impact of flooding on schistosomiasis in Poyang Lake regions based on multi-source remote sensing images.
Parasit Vectors
; 14(1): 116, 2021 Feb 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-33618761
4.
Construction and application of surveillance and response systems for parasitic diseases in China, led by NIPD-CTDR.
Adv Parasitol
; 110: 349-371, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32563331
5.
High-resolution remote sensing-based spatial modeling for the prediction of potential risk areas of schistosomiasis in the Dongting Lake area, China.
Acta Trop
; 199: 105102, 2019 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-31330123
6.
High-resolution remote sensing-based spatial modeling for the prediction of potential risk areas of schistosomiasis in the Dongting Lake area, China.
Acta Trop
; 198: 105077, 2019 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-31310730
7.
The anti-asthma effect of Mahuang decoction based on P38 MAPK/NF-KB signaling pathway and its mechanism / 中国药理学通报
Chinese Pharmacological Bulletin
; (12): 423-429, 2021.
Artículo
en Zh
| WPRIM | ID: wpr-1014353
8.
[Analysis of endemic changes of schistosomiasis in China from 2002 to 2010].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
; 27(3): 229-34, 250, 2015 Jun.
Artículo
en Zh
| MEDLINE | ID: mdl-26510351
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