Zheng Y - Search Results

1

Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity.

Wu D, Shi Y, Wang C, Li C, Lu Y, Wang C, Zhu W, Sun T, Han J, Zheng Y, Zhang L. Wu D, et al. Among authors: zheng y. Arch Public Health. 2024 Aug 19;82(1):128. doi: 10.1186/s13690-024-01361-x. Arch Public Health. 2024. PMID: 39160599 Free PMC article.

2

Interaction between air pollutants and meteorological factors on pulmonary tuberculosis in northwest China: A case study of eight districts in Urumqi.

Nie Y, Yang Z, Lu Y, Bahani M, Zheng Y, Tian M, Zhang L. Nie Y, et al. Among authors: zheng y. Int J Biometeorol. 2024 Apr;68(4):691-700. doi: 10.1007/s00484-023-02615-z. Epub 2024 Jan 6. Int J Biometeorol. 2024. PMID: 38182774

3

Study on the relationship between the incidence of influenza and climate indicators and the prediction of influenza incidence.

Zheng Y, Wang K, Zhang L, Wang L. Zheng Y, et al. Environ Sci Pollut Res Int. 2021 Jan;28(1):473-481. doi: 10.1007/s11356-020-10523-7. Epub 2020 Aug 19. Environ Sci Pollut Res Int. 2021. PMID: 32815008

4

An investigation of the effects of meteorological factors on the incidence of tuberculosis.

Chang M, Emam M, Chen X, Lu D, Zhang L, Zheng Y. Chang M, et al. Among authors: zheng y. Sci Rep. 2024 Jan 24;14(1):2088. doi: 10.1038/s41598-024-52278-y. Sci Rep. 2024. PMID: 38267494 Free PMC article.

5

A comparative study of two methods to predict the incidence of hepatitis B in Guangxi, China.

Zheng Y, Zhang L, Zhu X, Guo G. Zheng Y, et al. PLoS One. 2020 Jun 24;15(6):e0234660. doi: 10.1371/journal.pone.0234660. eCollection 2020. PLoS One. 2020. PMID: 32579598 Free PMC article.

6

Time Prediction Models for Echinococcosis Based on Gray System Theory and Epidemic Dynamics.

Zhang L, Wang L, Zheng Y, Wang K, Zhang X, Zheng Y. Zhang L, et al. Among authors: zheng y. Int J Environ Res Public Health. 2017 Mar 4;14(3):262. doi: 10.3390/ijerph14030262. Int J Environ Res Public Health. 2017. PMID: 28273856 Free PMC article.

7

Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.

Zheng Y, Zhang L, Wang L, Rifhat R. Zheng Y, et al. BMC Infect Dis. 2020 Apr 22;20(1):300. doi: 10.1186/s12879-020-05033-3. BMC Infect Dis. 2020. PMID: 32321419 Free PMC article.

8

Correction to: Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.

Zheng Y, Zhang L, Wang L, Rifhat R. Zheng Y, et al. BMC Infect Dis. 2020 Aug 25;20(1):626. doi: 10.1186/s12879-020-05325-8. BMC Infect Dis. 2020. PMID: 32842969 Free PMC article.

9

An optimized Nash nonlinear grey Bernoulli model based on particle swarm optimization and its application in prediction for the incidence of Hepatitis B in Xinjiang, China.

Zhang L, Zheng Y, Wang K, Zhang X, Zheng Y. Zhang L, et al. Among authors: zheng y. Comput Biol Med. 2014 Jun;49:67-73. doi: 10.1016/j.compbiomed.2014.02.008. Epub 2014 Feb 20. Comput Biol Med. 2014. PMID: 24747730

10

Predictive analysis of the number of human brucellosis cases in Xinjiang, China.

Zheng Y, Zhang L, Wang C, Wang K, Guo G, Zhang X, Wang J. Zheng Y, et al. Sci Rep. 2021 Jun 1;11(1):11513. doi: 10.1038/s41598-021-91176-5. Sci Rep. 2021. PMID: 34075198 Free PMC article.

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