125 related articles for article (PubMed ID: 37246536)
1. Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand.
Sandar U E; Laohasiriwong W; Sornlorm K
Geospat Health; 2023 May; 18(1):. PubMed ID: 37246536
[TBL] [Abstract][Full Text] [Related]
2. Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China.
Li H; Li H; Ding Z; Hu Z; Chen F; Wang K; Peng Z; Shen H
Geospat Health; 2020 Jun; 15(1):. PubMed ID: 32575956
[TBL] [Abstract][Full Text] [Related]
3. Assessing the Spatiotemporal Spread Pattern of the COVID-19 Pandemic in Malaysia.
Cheong YL; Ghazali SM; Che Ibrahim MKB; Kee CC; Md Iderus NH; Ruslan QB; Gill BS; Lee FCH; Lim KH
Front Public Health; 2022; 10():836358. PubMed ID: 35309230
[TBL] [Abstract][Full Text] [Related]
4. Spatial analysis of COVID-19 spread in Iran: Insights into geographical and structural transmission determinants at a province level.
Ramírez-Aldana R; Gomez-Verjan JC; Bello-Chavolla OY
PLoS Negl Trop Dis; 2020 Nov; 14(11):e0008875. PubMed ID: 33206644
[TBL] [Abstract][Full Text] [Related]
5. Spatial association between socio-economic health service factors and sepsis mortality in Thailand.
Sansuk J; Laohasiriwong W; Sornlorm K
Geospat Health; 2023 Sep; 18(2):. PubMed ID: 37702714
[TBL] [Abstract][Full Text] [Related]
6. Clustering of Road Traffic Injuries During the 7-day Songkran Holiday, Thailand: A Spatial Analysis.
Tubtimhin S; Laohasiriwong W; Pitaksanurat S; Sornlorm K; Luenam A
Kathmandu Univ Med J (KUMJ); 2019 Jul-Sept.; 17(67):184-189. PubMed ID: 33305745
[TBL] [Abstract][Full Text] [Related]
7. Spatio-temporal distribution characteristics of COVID-19 in China: a city-level modeling study.
Ma Q; Gao J; Zhang W; Wang L; Li M; Shi J; Zhai Y; Sun D; Wang L; Chen B; Jiang S; Zhao J
BMC Infect Dis; 2021 Aug; 21(1):816. PubMed ID: 34391402
[TBL] [Abstract][Full Text] [Related]
8. Spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern, and its correlation with meteorological factors during the first to the second waves.
Rendana M; Idris WMR; Abdul Rahim S
J Infect Public Health; 2021 Oct; 14(10):1340-1348. PubMed ID: 34301503
[TBL] [Abstract][Full Text] [Related]
9. Analysis of spatial-temporal dynamic distribution and related factors of tuberculosis in China from 2008 to 2018.
Xue M; Zhong J; Gao M; Pan R; Mo Y; Hu Y; Du J; Huang Z
Sci Rep; 2023 Mar; 13(1):4974. PubMed ID: 36973322
[TBL] [Abstract][Full Text] [Related]
10. Epidemiological Characteristics and Spatial-Temporal Clusters of Hand, Foot, and Mouth Disease in Zhejiang Province, China, 2008-2012.
Gui J; Liu Z; Zhang T; Hua Q; Jiang Z; Chen B; Gu H; Lv H; Dong C
PLoS One; 2015; 10(9):e0139109. PubMed ID: 26422015
[TBL] [Abstract][Full Text] [Related]
11. Geospatial dynamics of COVID-19 clusters and hotspots in Bangladesh.
Islam A; Sayeed MA; Rahman MK; Ferdous J; Islam S; Hassan MM
Transbound Emerg Dis; 2021 Nov; 68(6):3643-3657. PubMed ID: 33386654
[TBL] [Abstract][Full Text] [Related]
12. Spatiotemporal analysis of the morbidity of global Omicron from November 2021 to February 2022.
Liang Y; Gong Z; Guo J; Cheng Q; Yao Z
J Med Virol; 2022 Nov; 94(11):5354-5362. PubMed ID: 35864556
[TBL] [Abstract][Full Text] [Related]
13. Epidemic features of coronavirus disease 2019 in Henan Province.
Ma Q; Li C; Zhai Y; Gao J; Zhao J
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2020 May; 45(5):582-590. PubMed ID: 32879111
[TBL] [Abstract][Full Text] [Related]
14. Integration of Moran's I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran.
Isazade V; Qasimi AB; Dong P; Kaplan G; Isazade E
Model Earth Syst Environ; 2023 Feb; ():1-15. PubMed ID: 36820101
[TBL] [Abstract][Full Text] [Related]
15. COVID-19 distributes socially in China: A Bayesian spatial analysis.
Peng D; Qian J; Wei L; Luo C; Zhang T; Zhou L; Liu Y; Ma Y; Yin F
PLoS One; 2022; 17(4):e0267001. PubMed ID: 35443008
[TBL] [Abstract][Full Text] [Related]
16. Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019.
Htwe ZC; Laohasiriwong W; Sornlorm K; Mahato R
Geospat Health; 2023 May; 18(1):. PubMed ID: 37246531
[TBL] [Abstract][Full Text] [Related]
17. The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China.
Wang Y; Yang Y; Shi X; Mao S; Shi N; Hui X
Geospat Health; 2016 May; 11(2):414. PubMed ID: 27245799
[TBL] [Abstract][Full Text] [Related]
18. Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil.
Ferreira MC
Geospat Health; 2020 Nov; 15(2):. PubMed ID: 33461263
[TBL] [Abstract][Full Text] [Related]
19. Spatial associations between chronic kidney disease and socio-economic factors in Thailand.
Sansuk J; Sornlorm K
Geospat Health; 2024 Jan; 19(1):. PubMed ID: 38288788
[TBL] [Abstract][Full Text] [Related]
20. [Autocorrelation analysis of pneumoconiosis in China].
Xiao P; Wang D; Zhu XJ
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2016 Nov; 34(11):830-834. PubMed ID: 28043271
[No Abstract] [Full Text] [Related]
[Next] [New Search]