Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study
Kishore N, Taylor AR, Jacob PE, Vembar N, Cohen T, Buckee CO, Menzies NA. Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study. The Lancet Digital Health 2021, 4: e27-e36. PMID: 34740555, PMCID: PMC8563007, DOI: 10.1016/s2589-7500(21)00214-4.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 transmissionPopulation-based studyLaboratory-confirmed casesSARS-CoV-2 pandemicSARS-CoV-2Non-pharmaceutical interventionsCOVID-19 transmissionCOVID-19 casesEpidemiological dataReproduction numberEffective reproduction numberHealth StatisticsEquity of accessEpidemic trajectoriesCOVID-19Public healthTransmission indicatorsPopulation levelContact patternsReporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark
Cheng B, Behr MA, Howden BP, Cohen T, Lee RS. Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark. The Lancet Microbe 2021, 2: e115-e129. PMID: 33842904, PMCID: PMC8034592, DOI: 10.1016/s2666-5247(20)30201-9.Peer-Reviewed Original ResearchMeSH KeywordsBenchmarkingCommunicable DiseasesGenomicsHumansMolecular EpidemiologyReproducibility of ResultsTuberculosisConceptsGenomic epidemiology studiesStudy qualityProportion of criteriaEpidemiology studiesSystematic reviewInfectious Diseases guidelinesMean proportionNon-human studiesQuasi-Poisson regressionDisease guidelinesEmbase ClassicInfectious disease epidemiologyConference abstractsPrimary searchStudy characteristicsTuberculosisMolecular epidemiologyInitial searchSenior authorSearch termsTyping of strainsSample sizeEpidemiologyGenomic epidemiologyFull text