Zheng Y - Search Results

1

Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China.

Chen X, Emam M, Zhang L, Rifhat R, Zhang L, Zheng Y. Chen X, et al. Among authors: zheng y. Prev Med Rep. 2023 Aug 4;35:102362. doi: 10.1016/j.pmedr.2023.102362. eCollection 2023 Oct. Prev Med Rep. 2023. PMID: 37584062 Free PMC article.

2

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

3

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.

4

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.

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

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

7

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.

8

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.

9

Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China.

Zheng Y, Emam M, Lu D, Tian M, Wang K, Peng X. Zheng Y, et al. Environ Sci Pollut Res Int. 2023 Jan;30(5):11530-11541. doi: 10.1007/s11356-022-22849-5. Epub 2022 Sep 12. Environ Sci Pollut Res Int. 2023. PMID: 36094714 Free PMC article.

10

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

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