scholarly journals Regression models for predicting daily IGS zenith tropospheric delays in West Africa: Implication for GNSS meteorology and positioning applications

2021 ◽  
Vol 28 (5) ◽  
Author(s):  
Samuel Osah ◽  
Akwasi A. Acheampong ◽  
Collins Fosu ◽  
Isaac Dadzie
2020 ◽  
Vol 6 (2) ◽  
pp. 128-134
Author(s):  
Chimis V. Khunai-ool ◽  
Elena G. Gienko

The article considers the possibilities and prospects for the development of GNSS meteorology based on domestic and foreign research. It is noted that the tropospheric delay of the GNSS signal is a valuable source of information about the state of the troposphere. The algorithm for estimating tropospheric delay and the services that perform this assessment (international GNSS service IGS and online service GAPS) are described. The content of the IGS output file with tropospheric delays at the IGS point is considered. The necessary conditions for the implementation of GNSS meteorology are listed, as well as structural diagrams of existing GNSS meteorology systems in the United States and Japan. It is shown that research in this area is being carried out in Russia. It is concluded that the network of permanent base stations in the Novosibirsk Region has the potential for the development of GNSS meteorology in the covered area.


Author(s):  
Monday Osagie Adenomon ◽  
Gbenga Solomom Akinyemi

Tuberculosis cause of death worldwide and the leading cause from a single infectious agent, ranking above Human immunodeficiency virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS). The aim of this study is to ascertain the trend of tuberculosis prevalence and the effect of HIV prevalence onl Tuberculosis case in some West African countries from 2000 to 2016 using count panel data regression models. The data used annual HIV and Tuberculosis cases spanning from 2000 to 2016 extracted from online publication of World health Organization (WHO). Panel Poisson regression model and Negative binomial regression model for fixed and random effects were used to analyzed the count data, the result revealed a positive trend in TB cases while increased in HIV cases leads to increase in TB cases in West African countries. Among the competing models used in this study, Panel Negative Binomial Regression Model with fixed effect emerged the best model with log likelihood value of -1336.554. This study recommended that Government and NGOs need more strategies to fight against HIV menace in West Africa as this will in turn reduced TB cases in West Africa.


Author(s):  
Christopher Harrison
Keyword(s):  

Author(s):  
J. Cameron Monroe
Keyword(s):  

Author(s):  
David A. Summers ◽  
Thomas R. Stewart

1997 ◽  
Vol 108 (7-8) ◽  
pp. 549-565
Author(s):  
M. A. Isawumi
Keyword(s):  

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