Field diagnostic tools for avian influenza (AI) are indispensable for the prevention and controlled management of highly pathogenic AI-related diseases. More accurate, faster and networked on-site monitoring is demanded to detect such AI viruses with high sensitivity as well as to maintain up-to-date information about their geographical transmission. In this work, we assessed the clinical and field-level performance of a smartphone-based fluorescent diagnostic device with an efficient reflective light collection module using a coumarin-derived dendrimer-based fluorescent lateral flow immunoassay. By application of an optimized bioconjugate, a smartphone-based diagnostic device had a two-fold higher detectability as compared to that of the table-top fluorescence strip reader for three different AI subtypes (H5N3, H7N1, and H9N2). Additionally, in a clinical study of H5N1-confirmed patients, the smartphone-based diagnostic device showed a sensitivity of 96.55% (28/29) [95% confidence interval (CI): 82.24 to 99.91] and a specificity of 98.55% (68/69) (95% CI: 92.19 to 99.96). The measurement results from the distributed individual smartphones were wirelessly transmitted via short messaging service and collected by a centralized database system for further information processing and data mining. Smartphone-based diagnosis provided highly sensitive measurement results for H5N1 detection within 15 minutes. Because of its high sensitivity, portability and automatic reporting feature, the proposed device will enable agile identification of patients and efficient control of AI dissemination.

Mutation and reassortment of highly pathogenic avian influenza A(H5N1) viruses at the animal-human interface remain a major concern for emergence of viruses with pandemic potential. To understand the relationship of H5N1 viruses circulating in poultry and those isolated from humans, comprehensive phylogenetic and molecular analyses of viruses collected from both hosts in Vietnam between 2003 and 2010 were performed. We examined the temporal and spatial distribution of human cases relative to H5N1 poultry outbreaks and characterized the genetic lineages and amino acid substitutions in each gene segment identified in humans relative to closely related viruses from avian hosts. Six hemagglutinin clades and 8 genotypes were identified in humans, all of which were initially identified in poultry. Several amino acid mutations throughout the genomes of viruses isolated from humans were identified, indicating the potential for poultry viruses infecting humans to rapidly acquire molecular markers associated with mammalian adaptation and antiviral resistance.

From January to August 2020, Northern Viet Nam faced a COVID-19 outbreak, up to September 2020, there were 1122 confrmed cases of SARS-CoV-2, of which 465 cases were imported from Europe, America and Asia, 657 cases were identifed domestically. A total of 30,686 samples were collected during the SARS-CoV-2 outbreak in Northern Viet Nam and examined by Real-time RT-PCR using primers and probe from Charite - Berlin protocol. This study showed the initial results of SARS-CoV-2 detection and RNA quantitative in positive samples. The positive rate was 0.8%, ranging from 0.4 to 3.5% according to collection sites. Out of 251 positive samples, the mean Ct value was 28 (IQR: 22.3-32; range 14 - 38). The positive samples had a Ct value below 30 was 68.5%, there was no signifcant difference between the Ct value of the group ≤ 30 and > 30. The mean of the RNA copies/µl was 8.4.107, (IQR: 2.29.106 - 1.83.109 RNA copies/µl, range: 1.95.103 – 4.95.1011). In the group of imported COVID-19 cases, the rate of virus at low level was 29%, an average was 56% and at high level was 15%. In the community groups, the viral load data showed that the average rate at low, intermediate and high level were 20%, 63% and 17% respectively. The proportion of high-level viral load may raise an alert to start the quarantine process to reduce the transmission of SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing novel coronavirus disease 2019 (COVID-19) appeared in Wuhan, Hubei province, China in late December 2019 and has rapidly spread worldwide. In this study, a total of 267 genomes of SARS CoV-2 viruses collected from 28 Center for Diseases Controls and hospitals in different provinces in Northern and Central Vietnam from January 2020 to April 2021 were sequenced and analyzed their diversity using the iSeq 100 platform. Results showed that most of the virus samples originated from domestic community patients (84.3%). Variable variants of SARS CoV-2 virus were detected within the three pandemic waves. The very first variant of SARS-CoV-2 in Viet Nam in January 2020 was 19B (Nextstrain Clade), 3/8 of the variants were from the international arrival samples group. In the first and second pandemic waves, lineage 20B was the most prevalent and this variant was found in Da Nang, Hai Duong and Thai Binh with a large number of patients. In the third wave of the COVID-19 pandemic, lineage 20I was the most dominant and detected in all provinces where the outbreak occurred. Five COVID-19 clusters caused by SARS-CoV-2 variant 20I were also found during this time.

Respiratory syncytial virus (RSV) is one of the most interesting respiratory viruses in the world. This virus causes symptoms of illnesses like influenza and imposes a heavy burden on medical services and the economy. However, studies on RSV in Vietnam are limited, while most of the RSV research has primarily been done before 2015. We collected the clinical respiratory samples from severe acute respiratory infection (SARI) patients to screen for RSV by real-time RT-PCR and study their molecular characteristics. RSV-positive specimens with Ct value < 25 collected between 2017-2018 in north Vietnam were inoculated on the Hep2 cell line. The results showed that 25 (22.32%) RSV virus strains were harvested from the inoculation procedure with 18 RSV A and 7 RSV B. The whole genomes of four representative strains were sequenced with the Illumina iSeq 100. Phylogenetic trees analysis of each subtype were classified as two RSV A and two RSV B sequences as genotype ON1 lineage 1.2 and genotype BA9 respectively. These genotypes were identified as typical Vietnamese strains from 2009-2012. Nevertheless, the RSV strains before 2015 and those in this study had significant differences in the G gene, with 34–35 amino acids in RSV A and 4 amino acids in RSV B. Moreover, the first whole genome of Vietnamese RSV since 2016 may give more understanding of the molecular characteristics of RSVs in Vietnam.