Evaluation of the KEMRI Hep-cell II test kit for detection of hepatitis B surface antigens in Tanzania

Hepatitis B surface antigen (HBsAg) is one of the most important serological markers used to diagnose acute and chronic hepatitis B infection. The objective of the current evaluation was to assess the operational characteristics of the Kenya Medical Research Institute (KEMRI) Hep-cell II against an ELISA Exsym HBsAg in the detection of hepatitis B surface antigens. To evaluate the Hep-cell II test, blood samples were collected from blood donors and processed for detection of HBsAg using Hep-cell II based on the test principle and procedure outlined by the manufacturer. ELISA Axsym HBsAg test was used as golden standard. Of the 400 samples tested, 287 (71.8%) were positive by Hep-cell test and 295 (73.8%) were positive by the ELISA Axsym. Hep-cell test had a sensitivity of 98.6% and specificity of 95.96%. Similar values of sensitivity and specificity of the Hep-cell test were obtained even when Bayesian Analysis Model was applied. The positive and negative predictive values of Hep-cell test were 98.61% and 95.96%, respectively. The positive and negative diagnostic likelihood ratios of Hep-cell test were 24.4% and 0.0145, respectively. In conclusion, the Hep-cell test is useful for detecting hepatitis B virus and the high likelihood ratio observed suggests that it may be useful in blood screening. However, it may be necessary to evaluate for cost-effectiveness and robustness in field conditions before the test is recommended for use

Evaluation of the KEMRI Hep-cell II test kit for detection of hepatitis B surface antigens in Tanzania

Hepatitis B surface antigen (HBsAg) is one of the most important serological markers used to diagnose acute and chronic hepatitis B infection. The objective of the current evaluation was to assess the operational characteristics of the Kenya Medical Research Institute (KEMRI) Hep-cell II against an ELISA Exsym HBsAg in the detection of hepatitis B surface antigens. To evaluate the Hep-cell II test, blood samples were collected from blood donors and processed for detection of HBsAg using Hep-cell II based on the test principle and procedure outlined by the manufacturer. ELISA Axsym HBsAg test was used as golden standard. Of the 400 samples tested, 287 (71.8%) were positive by Hep-cell test and 295 (73.8%) were positive by the ELISA Axsym. Hep-cell test had a sensitivity of 98.6% and specificity of 95.96%. Similar values of sensitivity and specificity of the Hep-cell test were obtained even when Bayesian Analysis Model was applied. The positive and negative predictive values of Hep-cell test were 98.61% and 95.96%, respectively. The positive and negative diagnostic likelihood ratios of Hep-cell test were 24.4% and 0.0145, respectively. In conclusion, the Hep-cell test is useful for detecting hepatitis B virus and the high likelihood ratio observed suggests that it may be useful in blood screening. However, it may be necessary to evaluate for cost-effectiveness and robustness in field conditions before the test is recommended for use

COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.</jats:p