OBJECTIVETo investigate the long term survival of MDR-TB patients compared to non-MDR-TB in Henan province in 2010.

METHODSParticipants were randomly selected in 2010 from a dataset generated by an anti-TB drug resistance surveillance survey conducted by the Tuberculosis Control Institute, Henan Centre for Disease Control and Prevention in 2001, supported by the World Health Organization. Information on patient's demographic profile and medical records was extracted by trained doctors and nurses at local anti-TB dispensaries. Interviews were carried out using questionnaires to collect information on the socioeconomic features and survival status. Bivariate and multivariate with logistic regression were performed for data analysis.

RESULTSThe long term outcome of MDR-TB patients was much poorer when compared to non-MDR-TB patients. The case fatality was much higher among MDR-TB than non-MDR-TB patients (22.1% vs. 6.7%). The risk factors associated with the poorer outcome would include drug resistance status, disease relapse, hospitalization for treatment and long treatment period. Compared to non-MDR-TB, the survival time for MDR-TB was much shorter after having had the disease (6.7 years vs. 8.0 years).

CONCLUSIONMDR-TB patients had poor long term outcomes. As most of the cured TB patients were under productive age in the society, the high case fatality rate of MDR-TB would impose big burden on the related family and communities. Findings from this study suggested that the TB control programs should involve more efforts be paid on MDR-TB control, in order to reduce the burden of the disease.

Adolescent ; Adult ; Child ; China ; epidemiology ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Surveys and Questionnaires ; Survival Analysis ; Treatment Outcome ; Tuberculosis, Multidrug-Resistant ; mortality ; Tuberculosis, Pulmonary ; mortality ; Young Adult

Introduction: Students comprised the majority of early cases of influenza A(H1N1)pdm09 in Melbourne, Australia. Students and school settings were targeted for public health interventions following the emergence of pH1N1. This study was conducted to describe changes in social contacts among the earliest confirmed student cases of pH1N1 in Melbourne, Australia, to inform future pandemic control policy and explore transmission model assumptions Methods: A retrospective cross-sectional behavioural study of student cases with laboratory-confirmed pH1N1 between 28 April and 3 June 2009 was conducted in 2009. Demographics, symptom onset dates and detailed information on regular and additional extracurricular activities were collected. Summary measures for activities were calculated, including median group size and median number of close contacts and attendance during the students' exposure and infectious periods or during school closures. A multivariable model was used to assess associations between rates of participation in extracurricular activities and both school closures and students' infectious periods. Results: Among 162 eligible cases, 99 students participated. Students reported social contact in both curricular and extra-curricular activities. Group size and total number of close contacts varied. While participation in activities decreased during the students' infectious periods and during school closures, social contact was common during periods when isolation was advised and during school closures. Discussion This study demonstrates the potential central role of young people in pandemic disease transmission given the level of non-adherence to prevention and control measures. These finding have public health implications for both informing modelling estimates of future pandemics and targeting prevention and control strategies to young people.