In this study, we investigate the effects of missing data when estimating HIV/TB co-infection. We revisit the concept of missing data and examine three available approaches for dealing with missingness. The main objec...In this study, we investigate the effects of missing data when estimating HIV/TB co-infection. We revisit the concept of missing data and examine three available approaches for dealing with missingness. The main objective is to identify the best method for correcting missing data in TB/HIV Co-infection setting. We employ both empirical data analysis and extensive simulation study to examine the effects of missing data, the accuracy, sensitivity, specificity and train and test error for different approaches. The novelty of this work hinges on the use of modern statistical learning algorithm when treating missingness. In the empirical analysis, both HIV data and TB-HIV co-infection data imputations were performed, and the missing values were imputed using different approaches. In the simulation study, sets of 0% (Complete case), 10%, 30%, 50% and 80% of the data were drawn randomly and replaced with missing values. Results show complete cases only had a co-infection rate (95% Confidence Interval band) of 29% (25%, 33%), weighted method 27% (23%, 31%), likelihood-based approach 26% (24%, 28%) and multiple imputation approach 21% (20%, 22%). In conclusion, MI remains the best approach for dealing with missing data and failure to apply it, results to overestimation of HIV/TB co-infection rate by 8%.展开更多
Background: India is a high TB (tuberculosis) burden country. The advent of HIV (Human immunodeficiency virus) and DR-TB (drug resistant TB) has worsened the ongoing TB control efforts. A study was conducted to (a) to...Background: India is a high TB (tuberculosis) burden country. The advent of HIV (Human immunodeficiency virus) and DR-TB (drug resistant TB) has worsened the ongoing TB control efforts. A study was conducted to (a) to determine the duration for developing drug resistant TB after diagnosis of HIV (b) to ascertain the patients status after one year of DR-TB treatment in Karnataka, India. Methods: It is a retrospective cross-sectional study involving review of records and reports at ART (Anti-retroviral treatment) centres and DR-TB centres in Karnataka during the period 2013-2014. Results: The median time from being known as HIV positive to being diagnosed as DR-TB was 1168 days (IQR: 571 - 1955). At the end of 14 months, nearly 39% of patients had died and 49% of patients were on treatment. Conclusion: The National Health programmes should prioritize monitoring of the HIV/TB patients and develop appropriate novel strategies for community involvement.展开更多
Context/Objectives: Tuberculosis (TB) and HIV co-infection is a serious health problem in Cameroon. The problems associated with poor adherence to treatment are on the increase worldwide. This problem can be observed ...Context/Objectives: Tuberculosis (TB) and HIV co-infection is a serious health problem in Cameroon. The problems associated with poor adherence to treatment are on the increase worldwide. This problem can be observed in all situations where patients are required to administer their own medication, whatever the type of illness. The general objective of this study was to assess the factors affecting adherence to treatment among HIV-TB co-infected patients in health facilities in the East Region in the COVID context. Method: A retrospective cohort study before and during COVID-19 was conducted in HIV care units in 13 health districts in the East Region of Cameroon. Data were collected using a questionnaire recorded in the Kobo Collect android application, analyzed using SPSS version 25 software and plotted using Excel. Results: The pre-COVID-19 cohort compared to the during-COVID-19 cohort had a 1.90 risk of not adhering to treatment (OR: 1.90, CI {1.90 - 3.37}) and the difference was statistically significant at the 5% level (p-value = 0.029). Frequency of adherence was 65.4% (140/214). Adherence before COVID-19 was 56.9% whereas during COVID-19, it was 74.3%. Conclusion: The implementation of targeted interventions in the COVID-19 context, using evidence-based data and integrating the individual needs of HIV-TB co-infected patients, improved adherence to concurrent anti-tuberculosis treatment and antiretroviral therapy during the COVID-19 Era.展开更多
Context and objective: Around 8% of incident cases of tuberculosis (TB) were reported among people living with HIV worldwide in 2022. Tuberculosis is the leading cause of death among people living with HIV. Africa acc...Context and objective: Around 8% of incident cases of tuberculosis (TB) were reported among people living with HIV worldwide in 2022. Tuberculosis is the leading cause of death among people living with HIV. Africa accounts for the majority of co-infection episodes, with over 50% of cases in some parts of southern Africa. In the Democratic Republic of Congo (DRC), around 9% of persons living with HIV (PLHIV) develop TB and 11% of TB patients are infected with HIV. The DRC is one of the 30 countries in the world bearing the brunt of co-infection. Despite the efforts made by countries to improve access to antiretroviral traitement (ART), TB remains a major problem among people living with HIV. The Lingwala Health Zone in the provincial city of Kinshasa recorded a large number of cases of HIV/TB co-infection during the study period. The aim of this study was to determine the factors associated with HIV/TB co-infection among PLHIV on ART in the Lingwala health zone (HZ) in Kinshasa. Methods: This was a case-control study conducted in the state-run HIV care facilities in the Lingwala health district among PLHIV who had visited the health facilities during the period 2021-2023. Cases were coinfected patients and controls were PLHIV who had not developed tuberculosis during the study period. Results: A total of 281 PLHIV were enrolled in the study, with 70 cases and 211 controls. Factors associated with HIV/TB co-infection after multivariate analysis were viral load (OR = 5.34;95% CI;1.8-15.8, p = 0.005). History of tuberculosis (OR = 20.84;95% CI;8.6-50.3, p -85.0, p = 0.005) and BMI Conclusion: The results of this study indicate that the detection of these enumerated factors should prompt providers to actively search for tuberculosis with a view to organising early management.展开更多
A non-linear HIV-TB co-infection has been formulated and analyzed. The positivity and invariant region has been established. The disease free equilibrium and its stability has been determined. The local stability was ...A non-linear HIV-TB co-infection has been formulated and analyzed. The positivity and invariant region has been established. The disease free equilibrium and its stability has been determined. The local stability was determined and found to be stable under given conditions. The basic reproduction number was obtained and according to findings, co-infection diminishes when this number is less than unity, and persists when the number is greater than unity. The global stability of the endemic equilibrium was calculated. The impact of HIV on TB was established as well as the impact of TB on HIV. Numerical solution was also done and the findings indicate that when the rate of HIV treatment increases the latent TB increases while the co-infected population decreases. When the rate of HIV treatment decreases the latent TB population decreases and the co-infected population increases. Encouraging communities to prioritize the consistent treatment of HIV infected individuals must be emphasized in order to reduce the scourge of HIV-TB co-infection.展开更多
文摘In this study, we investigate the effects of missing data when estimating HIV/TB co-infection. We revisit the concept of missing data and examine three available approaches for dealing with missingness. The main objective is to identify the best method for correcting missing data in TB/HIV Co-infection setting. We employ both empirical data analysis and extensive simulation study to examine the effects of missing data, the accuracy, sensitivity, specificity and train and test error for different approaches. The novelty of this work hinges on the use of modern statistical learning algorithm when treating missingness. In the empirical analysis, both HIV data and TB-HIV co-infection data imputations were performed, and the missing values were imputed using different approaches. In the simulation study, sets of 0% (Complete case), 10%, 30%, 50% and 80% of the data were drawn randomly and replaced with missing values. Results show complete cases only had a co-infection rate (95% Confidence Interval band) of 29% (25%, 33%), weighted method 27% (23%, 31%), likelihood-based approach 26% (24%, 28%) and multiple imputation approach 21% (20%, 22%). In conclusion, MI remains the best approach for dealing with missing data and failure to apply it, results to overestimation of HIV/TB co-infection rate by 8%.
文摘Background: India is a high TB (tuberculosis) burden country. The advent of HIV (Human immunodeficiency virus) and DR-TB (drug resistant TB) has worsened the ongoing TB control efforts. A study was conducted to (a) to determine the duration for developing drug resistant TB after diagnosis of HIV (b) to ascertain the patients status after one year of DR-TB treatment in Karnataka, India. Methods: It is a retrospective cross-sectional study involving review of records and reports at ART (Anti-retroviral treatment) centres and DR-TB centres in Karnataka during the period 2013-2014. Results: The median time from being known as HIV positive to being diagnosed as DR-TB was 1168 days (IQR: 571 - 1955). At the end of 14 months, nearly 39% of patients had died and 49% of patients were on treatment. Conclusion: The National Health programmes should prioritize monitoring of the HIV/TB patients and develop appropriate novel strategies for community involvement.
文摘Context/Objectives: Tuberculosis (TB) and HIV co-infection is a serious health problem in Cameroon. The problems associated with poor adherence to treatment are on the increase worldwide. This problem can be observed in all situations where patients are required to administer their own medication, whatever the type of illness. The general objective of this study was to assess the factors affecting adherence to treatment among HIV-TB co-infected patients in health facilities in the East Region in the COVID context. Method: A retrospective cohort study before and during COVID-19 was conducted in HIV care units in 13 health districts in the East Region of Cameroon. Data were collected using a questionnaire recorded in the Kobo Collect android application, analyzed using SPSS version 25 software and plotted using Excel. Results: The pre-COVID-19 cohort compared to the during-COVID-19 cohort had a 1.90 risk of not adhering to treatment (OR: 1.90, CI {1.90 - 3.37}) and the difference was statistically significant at the 5% level (p-value = 0.029). Frequency of adherence was 65.4% (140/214). Adherence before COVID-19 was 56.9% whereas during COVID-19, it was 74.3%. Conclusion: The implementation of targeted interventions in the COVID-19 context, using evidence-based data and integrating the individual needs of HIV-TB co-infected patients, improved adherence to concurrent anti-tuberculosis treatment and antiretroviral therapy during the COVID-19 Era.
文摘Context and objective: Around 8% of incident cases of tuberculosis (TB) were reported among people living with HIV worldwide in 2022. Tuberculosis is the leading cause of death among people living with HIV. Africa accounts for the majority of co-infection episodes, with over 50% of cases in some parts of southern Africa. In the Democratic Republic of Congo (DRC), around 9% of persons living with HIV (PLHIV) develop TB and 11% of TB patients are infected with HIV. The DRC is one of the 30 countries in the world bearing the brunt of co-infection. Despite the efforts made by countries to improve access to antiretroviral traitement (ART), TB remains a major problem among people living with HIV. The Lingwala Health Zone in the provincial city of Kinshasa recorded a large number of cases of HIV/TB co-infection during the study period. The aim of this study was to determine the factors associated with HIV/TB co-infection among PLHIV on ART in the Lingwala health zone (HZ) in Kinshasa. Methods: This was a case-control study conducted in the state-run HIV care facilities in the Lingwala health district among PLHIV who had visited the health facilities during the period 2021-2023. Cases were coinfected patients and controls were PLHIV who had not developed tuberculosis during the study period. Results: A total of 281 PLHIV were enrolled in the study, with 70 cases and 211 controls. Factors associated with HIV/TB co-infection after multivariate analysis were viral load (OR = 5.34;95% CI;1.8-15.8, p = 0.005). History of tuberculosis (OR = 20.84;95% CI;8.6-50.3, p -85.0, p = 0.005) and BMI Conclusion: The results of this study indicate that the detection of these enumerated factors should prompt providers to actively search for tuberculosis with a view to organising early management.
文摘A non-linear HIV-TB co-infection has been formulated and analyzed. The positivity and invariant region has been established. The disease free equilibrium and its stability has been determined. The local stability was determined and found to be stable under given conditions. The basic reproduction number was obtained and according to findings, co-infection diminishes when this number is less than unity, and persists when the number is greater than unity. The global stability of the endemic equilibrium was calculated. The impact of HIV on TB was established as well as the impact of TB on HIV. Numerical solution was also done and the findings indicate that when the rate of HIV treatment increases the latent TB increases while the co-infected population decreases. When the rate of HIV treatment decreases the latent TB population decreases and the co-infected population increases. Encouraging communities to prioritize the consistent treatment of HIV infected individuals must be emphasized in order to reduce the scourge of HIV-TB co-infection.
