Objective: To describe caregiver burden, quality of life, and associated factors among primarycaregivers of cancer patients at Thai Binh General Hospital in 2025.Materials and methods: An analytical cross-sectional study was conducted among 408 primarycaregivers of cancer patients at Thai Binh General Hospital from August 2025 to March 2026.Data were collected using a structured questionnaire including general characteristics; the ZaritBurden Interview (ZBI), the World Health Organization Quality of Life-BREF (WHOQOL-BREF),the Generalized Anxiety Disorder-7 (GAD-7), the Katz Activities of Daily Living (Katz ADL), andthe Multidimensional Scale of Perceived Social Support (MSPSS).Results: The mean caregiver burden score was 36.1 ± 15.3, and 38.2% of caregivers had highcaregiver burden (ZBI 41–88, including moderate-to-severe and severe burden). The meanoverall quality-of-life score was 53.2 ± 8.7, with 35.3% classified as having low quality of life.In multivariable analysis, high caregiver burden was independently associated with higherfinancial stress and greater patient dependence in daily activities, while low quality of lifewas independently associated with caregiver age ≥40 years and greater patient dependence.Conclusion: A notable proportion of primary caregivers of cancer patients had high caregiverburden and low quality of life. Higher financial stress and greater patient dependence were associatedwith high caregiver burden, whereas caregiver age ≥40 years and greater patient dependencewere associated with low quality of life. The findings suggest that oncology services should screencaregiver burden and consider timely financial, practical, and psychosocial support for high-riskcaregivers. (PDF) Caregiving burden, quality of life, and some related factors among primary caregivers of cancer patients at Thai Binh General Hospital in 2025. Available from: https://www.researchgate.net/publication/408219248_Ganh_nang_cham_soc_chat_luong_cuoc_song_va_mot_so_yeu_to_lien_quan_o_nguoi_cham_soc_chinh_nguoi_benh_ung_thu_tai_Benh_vien_Da_khoa_Thai_Binh_nam_2025#fullTextFileContent [accessed Aug 18 2026].

Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.

Introduction: When Viet Nam launched the Expanded Programme on Immunization in 1981, it covered six vaccines, including measles. Subsequently, Viet Nam experienced a marked reduction in measles infections. A nationwide measles epidemic occurred in April 2014 and an investigation found that 86% of affected children aged 9 months to 10 years were not fully vaccinated; therefore, understanding the reasons for not vaccinating could improve vaccination coverage. Methods: We performed a cross-sectional study to determine vaccination coverage and reasons for non-vaccination among children aged 9 months to 10 years in six districts in Ho Chi Minh City with the highest number of measles cases in 2014. Measles vaccination status of the youngest child in each household was determined and reasons for non-vaccination were investigated. A χ2 test and multiple logistic regression were used to identify independent predictors of full vaccination. Results: In total, 207 children were enrolled during the study period in 2014. Full measles vaccination coverage was 55% in these households, and 73% of parents were aware of the importance of measles vaccination to protect their children. We found that the father’s education level (under high school versus high school and above) and the site where the survey was conducted were significantly associated with vaccination status. Conclusion The vaccination coverage was lower than the coverage reported by district preventive medicine centres of the seven study wards. Lack of the second vaccination was a key obstacle to eliminating the vaccination gap. A catch-up mass vaccination campaign or health promotion of measles vaccination directed towards parents should be considered to improve vaccination coverage.

Introduction: There are two methods of reverse transcription polymerase chain reaction (RT–PCR) that have been the common methods to detect influenza infections: conventional and real-time RT–PCR. From December 2017 to March 2018, several missed diagnoses of influenza A(H1)pdm09 using real-time RT–PCR were reported in northern Viet Nam. This study investigated how these missed detections occurred to determine their effect on the surveillance of influenza. Methods: The haemagglutinin (HA) segments of A(H1N1)pdm09 from both real-time RT-PCR positive and negative samples were isolated and sequenced. The primer and probe sets in the HA gene were checked for mismatches, and phylogenetic analyses were performed to determine the molecular epidemiology of these viruses. Results: There were 86 positive influenza A samples; 32 were A(H1)pdm09 positive by conventional RT–PCR but were negative by real-time RT–PCR. Sequencing was conducted on 23 influenza (H1N1)pdm09 isolates that were recovered from positive samples. Eight of these were negative for A(H1)pdm09 by real-time RT–PCR. There were two different mismatches in the probe target sites of the HA gene sequences of all isolates (n = 23) with additional mismatches only at position 7 (template binding site) identified for all eight negative real-time RT–PCR isolates. The prime target sites had no mismatches. Phylogenetic analysis of the HA gene showed that both the positive and negative real-time RT–PCR isolates were grouped in clade 6B.1; however, the real-time RT–PCR negative viruses were located in a subgroup that referred to substitution I295V. Conclusion Constant monitoring of genetic changes in the circulating influenza A(H1N1)pdm09 viruses is important for maintaining the sensitivity of molecular detection assays.