Reconciling heterogeneous dengue virus infection risk estimates from different study designs.

Uncovering rates at which susceptible individuals become infected with a pathogen, i.e., the force of infection (FOI), is essential for assessing transmission risk and reconstructing distribution of immunity in a population.

Predicting the infecting dengue serotype from antibody titre data using machine learning.

The development of a safe and efficacious vaccine that provides immunity against all four dengue virus serotypes is a priority, and a significant challenge for vaccine development has been defining and measuring serotype-specific outcomes and correlates of protection. The plaque reduction neutralisation test (PRNT) is the gold standard assay for measuring serotype-specific antibodies, but this test cannot differentiate homotypic and heterotypic antibodies and characterising the infection history is challenging. To address this, we present an analysis of pre- and post-infection antibody titres measured using the PRNT, collected from a prospective cohort of Thai children.

Linking multiple serological assays to infer dengue virus infections from paired samples using mixture models.

Dengue virus (DENV) is an increasingly important human pathogen, with already half of the globe's population living in environments with transmission potential. Since only a minority of cases are captured by direct detection methods (RT-PCR or antigen tests), serological assays play an important role in the diagnostic process. However, individual assays can suffer from low sensitivity and specificity and interpreting results from multiple assays remains challenging, particularly because interpretations from multiple assays may differ, creating uncertainty over how to generate finalized interpretations.

A systematic review of using population-level human mobility data to understand SARS-CoV-2 transmission.

The emergence of SARS-CoV-2 into a highly susceptible global population was primarily driven by human mobility-induced introduction events. Especially in the early stages, understanding mobility was vital to mitigating the pandemic prior to widespread vaccine availability. We conducted a systematic review of studies published from January 1, 2020, to May 9, 2021, that used population-level human mobility data to understand SARS-CoV-2 transmission.

Age- and amyloid-β-dependent initiation of neurofibrillary tau tangles: an improved mouse model of Alzheimer's disease without mutations in .

Introducing heterozygous humanized tau to App knock-in mice results in the first mouse model of Alzheimer's disease in which age and amyloid-β pathology interact to initiate neurofibrillary tau tangle pathology, not dependent on mutations in MAPT. Gradual progression from amyloid-β to tau pathology in NLFTau mice opens possibilities for understanding processes precipitating clinical stages of Alzheimer's disease and development of translatable therapies to prevent the onset of tau pathology.