BAYESIAN ESTIMATION OF INDIVIDUAL PARAMETERS IN AN HIV DYNAMIC MODEL USING LONG-TERM VIRAL LOAD DATA

2005 ◽  
pp. 361-383 ◽  
Author(s):  
Yangxin Huang ◽  
Hulin Wu
Keyword(s):  
Viral Load ◽  
Bayesian Estimation ◽  
Dynamic Model ◽  
Viral Load Data ◽  
Hiv Dynamic Model

scholarly journals Estimation of the incubation period of COVID-19 using viral load data

Epidemics ◽  
2021 ◽  
pp. 100454
Author(s):  
Keisuke Ejima ◽  
Kwang Su Kim ◽  
Christina Ludema ◽  
Ana I. Bento ◽  
Shoya Iwanami ◽  
...  
Keyword(s):  
Viral Load ◽  
Incubation Period ◽  
Viral Load Data

scholarly journals Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management

2015 ◽  
Vol 34 (5) ◽  
pp. 702-721 ◽  
Author(s):  
Guofang Huang ◽  
Ahmed Khwaja ◽  
K. Sudhir
Keyword(s):  
Dynamic Model ◽  
Short Run

Pretreatment Hepatitis B Viral Load Predicts Long-Term Hepatitis B Response After Anti-Hepatitis C Therapy in Hepatitis B/C Dual-Infected Patients

2018 ◽  
Vol 219 (8) ◽  
pp. 1224-1233 ◽  
Author(s):  
Ming-Lun Yeh ◽  
Ching-I Huang ◽  
Chung-Feng Huang ◽  
Meng-Hsuan Hsieh ◽  
Ta-Wei Liu ◽  
...  
Keyword(s):  
Viral Load ◽  
Hepatitis C ◽  
Hepatitis B ◽  
Hepatitis C Therapy

scholarly journals Long-Term Immunological and Virological Outcomes in Children Receiving Highly Active Antiretroviral Therapy at Hawassa University College of Medicine and Health Sciences, Southern Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Demissie Assegu Fenta ◽  
Temesgen Bizuayehu Wube ◽  
Metsihet Mohammed Nuru
Keyword(s):  
Viral Load ◽  
Virological Failure ◽  
Highly Active Antiretroviral Therapy ◽  
University Hospital ◽  
Rank Test ◽  
Southern Ethiopia ◽  
Viral Load Suppression ◽  
Highly Active ◽  
Hawassa University

Purpose. To determine immunological and virological failure and associated factors among children infected with human immunodeficiency virus receiving antiretroviral treatments at Hawassa University Hospital, Southern Ethiopia. Methods. A hospital-based cross-sectional study was conducted among 273 HIV-infected children from July 1 to December 1, 2019. Data were collected using a structured questionnaire and review of patient records. Blood samples for viral load and CD4 count were collected. Data were analyzed using SPSS version 20. Significance group comparison was done by the Kaplan-Meier log-rank test. The Cox proportional hazard model was used to select significant factors of the variability between groups. Results. A total of 273 children, between the age ranges of 1 to 14 years, were included. Of these, 139 (50.9%) and 134 (49.1%) were males and females, respectively. Children from the rural area were almost five times more vulnerable for virological and immunological failure than those children from the urban area ( AOR = 4.912 , (1.276-8.815), P = 0.032 ). The overall viral load suppression was 196 (71.8%) with a good adherence of 226 (82.9%). Nonsuppressed HIV viral load was found to be 77 (28.2%) which had two times more viral load copies ( AOR = 2.01 , (1.21–2.66), P = 0.001 ) when compared to those who had suppressed viral load copies. The proportions of children who had immunological nonresponse were 45.6% (21 out of 46), 30.4% (14 out of 46), and 23.9% (11 out of 46) among children with baseline CD4 of <200, 201-500, and >500 cells/μl, respectively. Unimproved outcomes among females were noted for immunological and virological failure in this study ( AOR = 1.901 , (1.038-3.481), P = 0.038 ). Conclusion. In conclusion, the highly active antiretroviral treatment appeared highly effective in terms of immunological and virological long-term outcomes. However, viral suppression (71.8%) in our study was far apart from the UNAIDS target of 90% in 2020. For that reason, strengthening adherence counseling and early initiation of HAART is important.

Detecting SARS-CoV-2 by Realtime RT-PCR in clinical samples collected in the North of Vietnam

2021 ◽  
Vol 30 (9) ◽  
pp. 11-17
Author(s):  
Hoang Vu Mai Phuong ◽  
Ung Thi Hong Trang ◽  
Nguyen Vu Son ◽  
Le Thi Thanh ◽  
Nguyen Le Khanh Hang ◽  
...  
Keyword(s):  
Viral Load ◽  
Average Rate ◽  
Clinical Samples ◽  
Viet Nam ◽  
Rt Pcr ◽  
Ct Value ◽  
The North ◽  
Viral Load Data ◽  
The Mean ◽  
High Level

From January to August 2020, Northern Viet Nam faced a COVID-19 outbreak, up to September 2020, there were 1122 confrmed cases of SARS-CoV-2, of which 465 cases were imported from Europe, America and Asia, 657 cases were identifed domestically. A total of 30,686 samples were collected during the SARS-CoV-2 outbreak in Northern Viet Nam and examined by Real-time RT-PCR using primers and probe from Charite - Berlin protocol. This study showed the initial results of SARS-CoV-2 detection and RNA quantitative in positive samples. The positive rate was 0.8%, ranging from 0.4 to 3.5% according to collection sites. Out of 251 positive samples, the mean Ct value was 28 (IQR: 22.3-32; range 14 - 38). The positive samples had a Ct value below 30 was 68.5%, there was no signifcant difference between the Ct value of the group ≤ 30 and > 30. The mean of the RNA copies/µl was 8.4.107, (IQR: 2.29.106 - 1.83.109 RNA copies/µl, range: 1.95.103 – 4.95.1011). In the group of imported COVID-19 cases, the rate of virus at low level was 29%, an average was 56% and at high level was 15%. In the community groups, the viral load data showed that the average rate at low, intermediate and high level were 20%, 63% and 17% respectively. The proportion of high-level viral load may raise an alert to start the quarantine process to reduce the transmission of SARS-CoV-2

ANALISIS PENGARUH NILAI SAHAM YANG BEREDAR, STRUKTUR MODAL, RISIKO PASAR, DAN SUKU BUNGA TERHAD AP RETITRN SAHAM DI BEJ DENGAN PENDEKATAN MODEL DINAMIS (Studi Kasus Pada Sektor Aneka lndustri Tahun 1996-2002)

2005 ◽  
Vol 1 (1) ◽  
pp. 20
Author(s):  
Ari Christianti ◽  
Murti Lestari
Keyword(s):  
Capital Structure ◽  
Dynamic Model ◽  
Stock Return ◽  
Negative Impact ◽  
Short Term ◽  
Correction Model ◽  
Industry Sector ◽  
The Interest Rate ◽  
Model Approach

The study aims at empirically proving and analyzing the balance model of Capital Asset Pricing Model (CAPM with the multifactor of risks, consisting of: outstanding stocks value, capital structure represented by Debt EquiQ Ratio (DER), market risk as represented by stock market beta, and the interest rate on company return on stock.This research uses a dynamic model approach considering the existence of the weaknessesin a classic linear model. Since the investment is related to investors behavior that need a lag to market change, the use of the dynamic model approach will be better. It is because the dynamic model uses autoregressive approach containing the lag. The dynamic model used here is Partial Adjustment Model (PAM) and Error Correction Model (ECM).  Based on the estimation of the PAM model it is proven that the model is inefficient in finding the evidence confirming the hypothesis. Subsequently,based on the result of the examination of the ECM model it isconcluded that outstanding stocks value has a positive and signiJicant impact in short term and a negative impact in long term. It means that in the short term outstanding stocks value serves as the consideration for investors in making an investment. However in the long term they are likely to believe that the use of smaller internal capital proportion will be more beneficial for them. The capital structure has only a longierm impact on the return on stock. It means that the impact of DER on stock return on miscellaneous industry sector needs the quite long lag to influence the investors in determining stocks return. It indicates that in the long term they believ:e that the use of increasing number of loan will causes the decrease in company liquidity. Consequently, the opportunity for the company to go bankrupt is bigger Beta stock in the study has a negative impact in the long term. Theoretically, it is not consistent with the parameter direction and indicated that beta stock does notserve as an app;r,pviate prory in measuring the rislcs on. miscellaneous industry sector The interest rate has in the long term a negative impact on stocks return and needs the long lag to influence the investors in determining the return on stocks.Keywords: Stock return, outstanding stock value, DER (Debt Equity Ratio), beta, interest rote, ECM (Eruor Correction Model)

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