2020
Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020
Weinberger DM, Chen J, Cohen T, Crawford FW, Mostashari F, Olson D, Pitzer VE, Reich NG, Russi M, Simonsen L, Watkins A, Viboud C. Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020. JAMA Internal Medicine 2020, 180: 1336-1344. PMID: 32609310, PMCID: PMC7330834, DOI: 10.1001/jamainternmed.2020.3391.Peer-Reviewed Original ResearchConceptsCOVID-19Excess deathsOfficial COVID-19 deathsCoronavirus disease 2019Entire US populationPublic health impactCOVID-19 diagnostic testsCOVID-19 burdenCOVID-19 deathsCause deathReported deathsMortality burdenObservational studyDisease 2019Influenza activityMAIN OUTCOMEDeath AssociatedWeekly deathsTotal deathsUS deathsMore deathsDeath recordsUS populationHealth StatisticsTest availability
2018
The impact of digital health technologies on tuberculosis treatment: a systematic review
Ngwatu B, Nsengiyumva N, Oxlade O, Mappin-Kasirer B, Nguyen N, Jaramillo E, Falzon D, Schwartzman K, Abubakar I, Alipanah N, Bastos M, Boccia D, Chin D, Cohen T, Davis J, Denkinger C, Falzon D, Fielding K, Fox G, Free C, Garfein R, Hayward A, Jaramillo E, Lester R, Lewis J, Mappin-Kasirer B, Marx F, Menzies D, Migliori G, Nahid P, Ngwatu B, Nsengiyumva N, Nguyen N, Oxlade O, Schwartzman K, Siddiqi K, Story A, Thomas B, Trajman A, Yassin M. The impact of digital health technologies on tuberculosis treatment: a systematic review. European Respiratory Journal 2018, 51: 1701596. PMID: 29326332, PMCID: PMC5764088, DOI: 10.1183/13993003.01596-2017.Peer-Reviewed Original ResearchConceptsVideo-observed therapyMedication monitorsStandard careObservational studyTreatment completion ratesTB treatment adherenceProbability of cureTreatment of personsPerson DOTActive tuberculosisTB careClinical outcomesTreatment adherenceTuberculosis treatmentPatient outcomesTreatment completionControl groupTreatment dosesSystematic reviewDigital health technologiesShort message serviceEffect estimatesTuberculosisDigital interventionsCare
2014
Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement
Field N, Cohen T, Struelens MJ, Palm D, Cookson B, Glynn JR, Gallo V, Ramsay M, Sonnenberg P, MacCannell D, Charlett A, Egger M, Green J, Vineis P, Abubakar I. Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement. The Lancet Infectious Diseases 2014, 14: 341-352. PMID: 24631223, DOI: 10.1016/s1473-3099(13)70324-4.Peer-Reviewed Original ResearchConceptsEpidemiological studiesInfectious diseasesMolecular epidemiologyControl of infectionMultiple-strain infectionsMolecular epidemiological studiesHealth policy decisionsObservational studySTROBE checklistEpidemiological dataEvidence reviewCommunicable diseasesInfectious disease researchSTROBE statementDiseaseInfectious disease data
2013
Data needs for evidence-based decisions: a tuberculosis modeler's ‘wish list’ [Review article]
Dowdy DW, Dye C, Cohen T. Data needs for evidence-based decisions: a tuberculosis modeler's ‘wish list’ [Review article]. The International Journal Of Tuberculosis And Lung Disease 2013, 17: 866-877. PMID: 23743307, PMCID: PMC4041555, DOI: 10.5588/ijtld.12.0573.Peer-Reviewed Original Research