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Ted Cohen
Yale University
Drug resistanceMycobacterium tuberculosisTuberculosisPopulationMedicine
198Publications
37H-index
5,720Citations
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Publications 206
Newest
#1Virginia E. Pitzer (Yale University)H-Index: 21
#2Melanie Chitwood (Yale University)
Last. Ted Cohen (Yale University)H-Index: 37
view all 8 authors...
Estimates of the reproductive number for novel pathogens such as SARS-CoV-2 are essential for understanding the potential trajectory of the epidemic and the level of intervention that is needed to bring the epidemic under control. However, most methods for estimating the basic reproductive number (R0) and time-varying effective reproductive number (Rt) assume that the fraction of cases detected and reported is constant through time. We explore the impact of secular changes in diagnostic testing ...
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#1Daniel M. Weinberger (Yale University)H-Index: 23
#2Ted Cohen (Yale University)H-Index: 37
Last. Annie Watkins (Yale University)H-Index: 1
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Background Efforts to track the severity and public health impact of the novel coronavirus, COVID-19, in the US have been hampered by testing issues, reporting lags, and inconsistency between states. Evaluating unexplained increases in deaths attributed to broad outcomes, such as pneumonia and influenza (P&I) or all causes, can provide a more complete and consistent picture of the burden caused by COVID-19. Methods We evaluated increases in the occurrence of deaths due to P&I above a seasonal ba...
1 CitationsSource
#1Reza Yaesoubi (Yale University)H-Index: 7
#2Ted Cohen (Yale University)H-Index: 37
Last. Yonatan H. Grad (Harvard University)H-Index: 21
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Background The rise of gonococcal antimicrobial resistance highlights the need for strategies that extend the clinically useful life span of antibiotics. Because there is limited evidence to support the current practice of switching empiric first-line antibiotic when resistance exceeds 5% in the population, our objective was to compare the impact of alternative strategies on the effective life spans of antibiotics and the overall burden of gonorrhea. Methods and findings We developed and calibra...
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#1Leonardo Martinez (Stanford University)H-Index: 7
#2Olivia Cords (Stanford University)H-Index: 3
Last. Sanjay BasuH-Index: 59
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Summary Background Tens of millions of children are exposed to Mycobacterium tuberculosis globally every year; however, there are no contemporary estimates of the risk of developing tuberculosis in exposed children. The effectiveness of contact investigations and preventive therapy remains poorly understood. Methods In this systematic review and meta-analysis, we investigated the development of tuberculosis in children closely exposed to a tuberculosis case and followed for incident disease. We ...
2 CitationsSource
#2Ted CohenH-Index: 37
Last. M. M. Claassens (UCT: University of Cape Town)H-Index: 7
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BACKGROUND: Despite multiple tuberculosis (TB) prevalence surveys reporting a relatively high frequency of bacteriologically confirmed, active TB among individuals reporting no typical symptoms of disease, our understanding of this phenomenon is limited.OBJECTIVE: To quantify the epidemiological burden and estimate associations between individual-level variables and this "subclinical" presentation.METHODS: We performed a secondary analysis of TB prevalence survey data from the South African comm...
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#1Olga Morozova (Yale University)H-Index: 5
#2Forrest W. Crawford (Yale University)H-Index: 16
Last. Frederick L. Altice (Yale University)H-Index: 51
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1 CitationsSource
#1Forrest W. CrawfordH-Index: 16
#2Florian M. Marx (Yale University)H-Index: 2
Last. Ted CohenH-Index: 37
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BACKGROUND: Household contacts of people infected with a transmissible disease may be at risk due to this proximate exposure, or from other unobserved sources. Understanding variation in infection risk is essential for targeting interventions. METHODS: We develop an analytical approach to estimate household and exogenous forces of infection, while accounting for individual-level characteristics that affect susceptibility to disease and transmissibility. We apply this approach to a cohort study c...
1 CitationsSource
#2Roberto Dias de Oliveira (UFMS: Federal University of Mato Grosso do Sul)
Last. Jason R. Andrews (Stanford University)H-Index: 31
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BACKGROUND: Tuberculosis is a major cause of morbidity and mortality among incarcerated populations globally. We performed mass tuberculosis screening in three prisons and assessed yield, efficiency, and costs associated with various screening algorithms. METHODS: Between 2017 and 2018, inmates from the three prisons in Brazil were screened for tuberculosis by symptom assessment, chest radiography, sputum testing by Xpert MTB/RIF 4th generation and culture. Chest radiographs were scored by an au...
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#1Matthew Quaife (Lond: University of London)H-Index: 6
#2Rein M. G. J. Houben (Lond: University of London)H-Index: 21
Last. Robert S. WallisH-Index: 52
view all 11 authors...
1 CitationsSource
#1Nicolas A. Menzies (Harvard University)H-Index: 11
#2Andrea Parriott (UCSF: University of California, San Francisco)H-Index: 3
Last. Priya B. Shete (UCSF: University of California, San Francisco)H-Index: 8
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Rationale Mathematical modelling is used to understand disease dynamics, forecast trends, and inform public health prioritization. We conducted a comparative analysis of tuberculosis (TB) epidemiol...
1 CitationsSource
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