High‐throughput droplet‐based digital PCR (ddPCR) is a refinement of the conventional polymerase chain reaction (PCR)‎ methods. In ddPCR, DNA/RNA is encapsulated stochastically inside the microdroplets as reaction chambers. A small percentage of the reaction chamber contains one or fewer copies of the DNA or RNA. After PCR amplification, concentrations are determined based on the proportion of nonfluorescent partitions through the Poisson distribution. Some of the main features of ddPCR include high sensitivity and specificity, absolute quantification without a standard curve, high reproducibility, good tolerance to PCR inhibitor, and high efficacy compared to conventional molecular methods. These advantages make ddPCR a valuable addition to the virologist's toolbox. The following review outlines the recent technological advances in ddPCR methods and their applications in viral identification.

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: The recent pandemic caused by a novel coronavirus known as SARS-CoV-2 has caught the international community by surprise. There is still no effective vaccine or treatment option against this virus. In this perspective, we discussed potential protective and therapeutic effects of chitosan, as an FDA-approved biomolecule, against COVID-19 and influenza viruses.

IntroductionThe aim of this meta-analysis was to assess the effect of ongoing statin treatment on susceptibility to influenza virus infection and on influenza-associated mortality.Material and methodsStudies investigating the impact of statin treatment on influenza prevalence and mortality were searched in PubMed-Medline, Scopus, ISI Web of Knowledge, Embase, Proquest, OVID, EBSCO and CINAHLdatabases (up to June 30, 2020). Fixed- and random-effects model and generic inverse variance method were used for quantitative data synthesis.ResultsIn the meta-analysis of 15 arms of 3 eligible studies including flu-vaccinated and unvaccinated patients, treatment with statins was associated with a reduction of influenza virus prevalence [Odds Ratio (OR) 0.85, 95% Confidence Interval (CI) 0.73-0.99; p 0.040]. No significant effect of statins on the susceptibility to influenza infection was observed in the distinct communities of either vaccinated or unvaccinated subjects. Among 9 arms of 6 eligible studies, the use of statins among patients with influenza was associated with a reduced mortality [OR (95% CI), 0.68 (0.56, 0.82); p<0.001]. This result was confirmed for both 30-day mortality since influenza infection diagnosis [OR (95% CI), 0.61 (0.47, 0.80); p<0.001] and for up to 90-day mortality [OR (95% CI), 0.74 (0.55, 1.00); p=0.042].ConclusionsA reduced influenza prevalence and anincreased survivalfrom influenza infection was observed in patients on ongoing statin treatment. Further research is needed to define the possible role of statins as adjunctive therapy in patients with influenza infection.