This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 co...This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.展开更多
This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 co...This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.展开更多
Objective： To study the main clinical and histopathological features of 12 patients with Hodgkin＇s lymphoma （HL） diagnosed primarily from bone marrow （BM） involvement. Methods： We included 12 acquired immunodef...Objective： To study the main clinical and histopathological features of 12 patients with Hodgkin＇s lymphoma （HL） diagnosed primarily from bone marrow （BM） involvement. Methods： We included 12 acquired immunodeficiency syndrome （AIDS） patients with HL assisted in the F. J. Mufiiz Infectious Diseases Hospital since January 2002 to December 2013. The diagnosis of ilL with primary BM involvement in patients was confirmed by clinical, histopathological, and immunohistochemical findings. Results： All patients presented ＂B＂ symptoms and pancytopenia. All of them had stage IV neoplasm disease because of BM infiltration. The median of CD4＋ T-cell counts was 114 cells/μL, and mixed cellularity （MC） was the most frequent histopathological subtype of 92% cases. Conclusion： When other causes are excluded, BM biopsy should be performed in AIDS patients with ＂B＂ symptoms and pancytopenia to evaluate BM infiltration by atypical lymphocytes.展开更多
The HIV/AIDS epidemic has grown on an unprecedented scale since it was first recognized, and presently it is considered as a well known global public health crisis. In making the health policy where millions of popula...The HIV/AIDS epidemic has grown on an unprecedented scale since it was first recognized, and presently it is considered as a well known global public health crisis. In making the health policy where millions of populations are at risk, it is necessary to understand the knowledge level about HIV/AIDS. So, this study aimed at to investigate the knowledge level about HIV/AIDS among the villagers. Data and necessary information were collected from one hundred villagers of Salmanpur from Comilla district, Bangladesh through a structured questionnaire. The collected data were used for univariate analysis, to carry out the description of the variables;and to justify the total score of knowledge about HIV/AIDS among the respondents, Cronbach’s alpha (α) was calculated. The results revealed that almost all the respondents (92.00%) were ever heard about HIV/AIDS and half of them (51.00%) were known it as a communicable disease. Majority of the respondents (62.00%) believed that it is caused by heterosexual relation as well as sex with HIV positive persons. However, a good number of respondents were found unaware about the major causes and preventive ways of AIDS. Less than half of the respondents (45.00%) had medium knowledge (α = 0.34 - 0.66) and only 36.00% had the enough knowledge about HIV/AIDS. The knowledge level is increasing with the increase of education level, and the respondents who involved in agricultural works are found the lowest knowledge level (47.00%) about HIV/AIDS. The villagers were known about HIV/AIDS but they do not have accurate information about the ways in which AIDS virus can or cannot be transmitted. Therefore, effective programs should be taken to increase the knowledge level about HIV/AIDS among the villagers in Bangladesh.展开更多
As a vital part of China's foreign relations,China's aid to Africa has scored great achievements.Based on data from the Afrobarometer Survey in 2010 and data from the database of China's aid to Africa in 2...As a vital part of China's foreign relations,China's aid to Africa has scored great achievements.Based on data from the Afrobarometer Survey in 2010 and data from the database of China's aid to Africa in 2000-2010 co-created by the US Center for Global Development and AidData,this paper dissects the macro-and micro-level determinants of the African public's perception of the effectiveness of aid from China through an empirical analysis.As descriptive statistics reveal,the African public has a highly positive view of aid from China despite country differences.According to our further analysis of a multilevel model,aid recipients with higher levels of democracy and economic development have a more favorable view of aid from China,while the size and sector of aid from China are not correlated with public favorability.At the micro-level,age,gender,education,race and media consumption are positively correlated with the public perception of aid.In conclusion,China must refocus its future aid programs on livelihood and welfare that directly benefit local people,rather than simply increasing the amount of aid.In delivering its commitments to Africa,China must also attach importance to public communication and "telling the China story " in its international affairs to improve its national image and gain more recognition by the African people.展开更多
文摘This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.
文摘This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.
文摘Objective： To study the main clinical and histopathological features of 12 patients with Hodgkin＇s lymphoma （HL） diagnosed primarily from bone marrow （BM） involvement. Methods： We included 12 acquired immunodeficiency syndrome （AIDS） patients with HL assisted in the F. J. Mufiiz Infectious Diseases Hospital since January 2002 to December 2013. The diagnosis of ilL with primary BM involvement in patients was confirmed by clinical, histopathological, and immunohistochemical findings. Results： All patients presented ＂B＂ symptoms and pancytopenia. All of them had stage IV neoplasm disease because of BM infiltration. The median of CD4＋ T-cell counts was 114 cells/μL, and mixed cellularity （MC） was the most frequent histopathological subtype of 92% cases. Conclusion： When other causes are excluded, BM biopsy should be performed in AIDS patients with ＂B＂ symptoms and pancytopenia to evaluate BM infiltration by atypical lymphocytes.
文摘The HIV/AIDS epidemic has grown on an unprecedented scale since it was first recognized, and presently it is considered as a well known global public health crisis. In making the health policy where millions of populations are at risk, it is necessary to understand the knowledge level about HIV/AIDS. So, this study aimed at to investigate the knowledge level about HIV/AIDS among the villagers. Data and necessary information were collected from one hundred villagers of Salmanpur from Comilla district, Bangladesh through a structured questionnaire. The collected data were used for univariate analysis, to carry out the description of the variables;and to justify the total score of knowledge about HIV/AIDS among the respondents, Cronbach’s alpha (α) was calculated. The results revealed that almost all the respondents (92.00%) were ever heard about HIV/AIDS and half of them (51.00%) were known it as a communicable disease. Majority of the respondents (62.00%) believed that it is caused by heterosexual relation as well as sex with HIV positive persons. However, a good number of respondents were found unaware about the major causes and preventive ways of AIDS. Less than half of the respondents (45.00%) had medium knowledge (α = 0.34 - 0.66) and only 36.00% had the enough knowledge about HIV/AIDS. The knowledge level is increasing with the increase of education level, and the respondents who involved in agricultural works are found the lowest knowledge level (47.00%) about HIV/AIDS. The villagers were known about HIV/AIDS but they do not have accurate information about the ways in which AIDS virus can or cannot be transmitted. Therefore, effective programs should be taken to increase the knowledge level about HIV/AIDS among the villagers in Bangladesh.
文摘As a vital part of China's foreign relations,China's aid to Africa has scored great achievements.Based on data from the Afrobarometer Survey in 2010 and data from the database of China's aid to Africa in 2000-2010 co-created by the US Center for Global Development and AidData,this paper dissects the macro-and micro-level determinants of the African public's perception of the effectiveness of aid from China through an empirical analysis.As descriptive statistics reveal,the African public has a highly positive view of aid from China despite country differences.According to our further analysis of a multilevel model,aid recipients with higher levels of democracy and economic development have a more favorable view of aid from China,while the size and sector of aid from China are not correlated with public favorability.At the micro-level,age,gender,education,race and media consumption are positively correlated with the public perception of aid.In conclusion,China must refocus its future aid programs on livelihood and welfare that directly benefit local people,rather than simply increasing the amount of aid.In delivering its commitments to Africa,China must also attach importance to public communication and "telling the China story " in its international affairs to improve its national image and gain more recognition by the African people.
