Background Transmission within families and multiple spike protein mutations have been associated with the rapid transmission of SARS-CoV-2. We aimed to: (1) describe full genome characterization of SARS-CoV-2 and correlate the sequences with epidemiological data within family clusters, and (2) conduct phylogenetic analysis of all samples from Yogyakarta and Central Java, Indonesia and other countries. Methods The study involved 17 patients with COVID-19, including two family clusters. We determined the full-genome sequences of SARS-CoV-2 using the Illumina MiSeq next-generation sequencer. Phylogenetic analysis was performed using a dataset of 142 full-genomes of SARS-CoV-2 from different regions. Results Ninety-four SNPs were detected throughout the open reading frame (ORF) of SARS-CoV-2 samples with 58% (54/94) of the nucleic acid changes resulting in amino acid mutations. About 94% (16/17) of the virus samples showed D614G on spike protein and 56% of these (9/16) showed other various amino acid mutations on this protein, including L5F, V83L, V213A, W258R, Q677H, and N811I. The virus samples from family cluster-1 (n = 3) belong to the same clade GH, in which two were collected from deceased patients, and the other from the survived patient. All samples from this family cluster revealed a combination of spike protein mutations of D614G and V213A. Virus samples from family cluster-2 (n = 3) also belonged to the clade GH and showed other spike protein mutations of L5F alongside the D614G mutation. Conclusions Our study is the first comprehensive report associating the full-genome sequences of SARS-CoV-2 with the epidemiological data within family clusters. Phylogenetic analysis revealed that the three viruses from family cluster-1 formed a monophyletic group, whereas viruses from family cluster-2 formed a polyphyletic group indicating there is the possibility of different sources of infection. This study highlights how the same spike protein mutations among members of the same family might show different disease outcomes.

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As Indonesia’s rifampin resistance testing rates are lower than global testing rates per the 2020 WHO global tuberculosis (TB) report, prevalence of multidrug-resistant TB may be underestimated. Our study aimed to evaluate prevalence and patterns of TB drug resistance (DR) within Indonesia. We conducted a cross-sectional analysis of baseline data collected from 2017–2018 as part of a cohort study of adults with presumed pulmonary TB at 7 DR-TB referral hospitals in Indonesia. Bacteriological examinations (acid-fast bacilli, GeneXpert, sputum culture) and drug-susceptibility testing were performed following the guidelines of the National TB Program. Of 447 participants with complete bacteriological examinations, 312 (69.8%) had positive sputum cultures for Mycobacterium tuberculosis. The proportion of MDR and pre-extensively drug-resistant was higher in previously treated compared with newly diagnosed participants (52.5% [73/139] versus 15% [26/173]). Compared with drug-sensitive case, drug-resistant TB was associated with cavities. Given the difference between rates of DR in TB referral hospitals from our study compared with the WHO survey in 2019 that showed 17.7% and 3.3% DR among previously treated and newly diagnosed participants globally, further characterization of Indonesia’s TB epidemiology in the general population is needed. Strategies, including public policies to optimize case finding, strengthen capacity for resistance testing, and prevent loss to follow-up will be critical to reduce the burden of TB in Indonesia.

Purpose: This study aimed to determine the quality of life among people living with HIV/AIDS based on the criteria for diagnosis and other factors.Methods: This study was conducted in the VCT clinic hospital of Dr. Moewardi. The population was HIV-positive patients with antiretroviral therapy. Data collection conducted through medical records and interview to patients. Results: Out of a total of 89 respondents, 66.29% were males and 71.91% were aged between 26-45 years. We found significant correlations for diagnosis of HIV/AIDS, opportunistic infections, time since HIV diagnosis, duration of ARV therapy, social support, modes of transport, sex, age, and marital status with the quality of life. Multivariate analysis obtained by each variable showed the strongest association with the quality of life was time since diagnosis, social support and duration of ARV therapy. Conclusion: The quality of life was better for those who have been diagnosed with HIV/AIDS ≥ 32 months, with social support, and who have been undergoing antiretroviral therapy ≥ 29 months. Improved counseling in the early days of ARV therapy is necessary to always maintain the treatment and provide support for their social life.

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