Sarah V. Leavitt

ORCID: 0000-0003-1542-4239
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About
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Research Areas
  • Tuberculosis Research and Epidemiology
  • COVID-19 epidemiological studies
  • Mycobacterium research and diagnosis
  • Evolution and Genetic Dynamics
  • Pneumocystis jirovecii pneumonia detection and treatment
  • Microbial infections and disease research
  • Virology and Viral Diseases
  • Hepatitis B Virus Studies
  • Diagnosis and treatment of tuberculosis
  • Viral Infections and Outbreaks Research
  • Pneumonia and Respiratory Infections
  • HIV/AIDS Impact and Responses
  • Global Maternal and Child Health
  • Antibiotic Resistance in Bacteria
  • Fault Detection and Control Systems
  • Anatomy and Medical Technology
  • HIV Research and Treatment
  • Augmented Reality Applications
  • Rabies epidemiology and control
  • COVID-19 Clinical Research Studies
  • Healthcare Systems and Reforms
  • SARS-CoV-2 and COVID-19 Research
  • Infectious Diseases and Tuberculosis
  • Vaccine Coverage and Hesitancy
  • Vector-borne infectious diseases

Boston University
2019-2023

University of British Columbia
2022

Boston Medical Center
2021

University of the Witwatersrand
2021

Stellenbosch University
2021

Brown University
2021

South African Medical Research Council
2021

Massachusetts Department of Public Health
2020

Qulu Zheng Forrest K. Jones Sarah V. Leavitt Lawson Ung Alain Labrique and 95 more David H. Peters Elizabeth C. Lee Andrew S. Azman Binita Adhikari Brian Wahl Chloé Sarnowski Daniel A. Antiporta Daniel J. Erchick Javier Perez‐Saez Joseph Ssekasanvu Kyu Han Lee Laura White Natalya Kostandova Neia Prata Menezes Nicholas Albaugh Nidhi Gupta Safia S Jiwani Sonia T. Hegde Swati Srivastava Tricia Aung Yijing Zhang Giulia Norton Arnav Kalra Ashank Khaitan Dyuti Shah Japnoor Kaur Keerthana Kasi Lajjaben Patel Lovedeep S Dhingra Mudit Agarwal Sanil Garg Utkarsh Goel Vikram Jeet Singh Gill Erum Khan Alina Patwari Pegah Khaloo Deepa Joshi Emily Blagg Emma Pence Holly K Nelson Jing Fan Lauren Miller Forbes Meredith Schlussel Semra Etyemez Shanshan Song Udit Mohan Yi Sun Sunyoung Jang Nicole Frumento Ananyaa Sivakumar Anna-Maria Hartner Vedika Karandikar Ziao Yan Evan R. Beiter Julia Song Leia Wedlund Miriam R. Singer Rifat Rahman Zain M. Virk Arjan Abar Bruce Tiu Tyler Adamson Kiran Paudel Honghui Yao Yinuo Wang E Rosalie Li-Rodenborn Ípek Özdemir Martha-Grace McLean Susan M Rattigan Brooke A. Borgert C Moreno Nicole Quigley Chengchen Li Nimran Kaur Catherine Gimbrone Sarah Elizabeth Scales Julio C Zuniga-Moya Peter Ahabwe Babigumira Chibueze C. Igwe H. Echo Wang Leon L. Hsieh Stuti L. Misra Kelly Bruton Danalyn Byng Monica Miranda‐Schaeubinger Mohammad Nasir Uddin John R. Ticehurst Emaline Laney Abhimanyu Bhadauria Vidushi Gupta María Clara Sellés Akash Kartik Anmol Singh Divya Garg Jasmine Saini

The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national local governments, including border restrictions, school closures, mandatory facemask use stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making response current future pandemics. In order estimate interventions, detailed descriptions their timelines, scale scope are needed. Health Intervention Tracking for...

10.1038/s41597-020-00610-2 article EN cc-by Scientific Data 2020-08-27

Abstract Background Estimating infectious disease parameters such as the serial interval (time between symptom onset in primary and secondary cases) reproductive number (average of cases produced by a case) are important understanding dynamics. Many estimation methods require linking direct transmission, difficult task for most diseases. Methods Using subset with detailed genetic and/or contact investigation data to develop training set probable transmission events, we build model estimate...

10.1093/ije/dyaa031 article EN International Journal of Epidemiology 2020-02-07

Abstract Tuberculosis (TB) remains a leading infectious disease killer globally. Treatment outcomes are especially poor among people with extensively drug-resistant (XDR) TB, until recently defined as rifampicin-resistant (RR) TB resistance to an aminoglycoside (amikacin) and fluoroquinolone (ofloxacin). We used laboratory test results from Western Cape province, South Africa between 2012 2015 identify XDR-TB pre-XDR-TB (RR-TB one second-line drug) spatial hotspots. mapped the percentage...

10.1038/s41598-022-14581-4 article EN cc-by Scientific Reports 2022-06-27

An estimated 40% of people who developed TB in 2021 were not diagnosed or treated. Pre-chemotherapy era data are a rich resource on survival with untreated TB. We aimed to identify heterogeneities these inform their more precise use.

10.5588/ijtld.22.0668 article EN The International Journal of Tuberculosis and Lung Disease 2023-08-23

ABSTRACT Background Estimating infectious disease parameters such as the serial interval (time between symptom onset in primary and secondary cases) reproductive number (average of cases produced by a case) are important to understand dynamics. Many estimation methods require linking direct transmission, difficult task for most diseases. Methods Using subset with detailed genetic or contact investigation data develop training set probable transmission events, we build model estimate relative...

10.1101/612945 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-04-26

Introduction: Advance planning of vaccine trials conducted during outbreaks increases our ability to rapidly define the efficacy and potential impact a vaccine. Vaccine against infectiousness (VE I ) is an important measure for understanding vaccine’s full impact, yet it currently not identifiable in many trial designs because requires knowledge infectors’ vaccination status. Recent advances genomics have improved reconstruct transmission networks. We aim assess if augmenting with pathogen...

10.1097/ede.0000000000001367 article EN Epidemiology 2021-05-20

<sec id="st1"><title>BACKGROUND</title>There is substantial heterogeneity in disease presentation for individuals with TB disease, which may correlate outcomes. We estimated outcomes by severity at among during the pre-chemotherapy era.</sec><sec id="st2"><title>METHODS</title>We extracted data on people enrolled between 1917 and 1948 USA, stratified three categories using U.S. National Tuberculosis Association diagnostic criteria. These criteria...

10.5588/ijtld.23.0254 article EN The International Journal of Tuberculosis and Lung Disease 2024-03-01

Abstract Introduction: Advance planning of the design and analysis vaccine trials conducted during infectious disease outbreaks increases our ability to rapidly define efficacy potential impact a inform public health response. Vaccine against infectiousness (VE I ) is an important measure for understanding full vaccine, yet it currently not identifiable in many trial designs because requires knowledge vaccination status infectors. Recent advances pathogen genomics have improved accurately...

10.1101/2020.09.14.20193789 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-09-16

Summary The generation interval (the time between infection of primary and secondary cases) its often used proxy, the serial symptom onset are critical parameters in understanding infectious disease dynamics. Because it is difficult to determine who infected whom, these important outbreak characteristics not well understood for many diseases. We present a novel method estimating transmission intervals using surveillance or investigation data that, unlike existing methods, does require...

10.1093/biostatistics/kxaa059 article EN Biostatistics 2020-12-10

Background: To stop tuberculosis (TB), the leading infectious cause of death globally, we need to better understand transmission risk factors. Although many studies have identified associations between individual-level covariates and pathogen genetic relatedness, few characteristics pairs or explored how closely associated with relatedness mirror those transmission. Methods: We simulated a TB-like outbreak data estimated odds ratios (ORs) correlate each covariate relatedness. used naive...

10.1097/ede.0000000000001414 article EN Epidemiology 2021-11-24

Gamification in medical education involves integrating game principles-including mechanics, design, or experiences-into a learning context. Game-based approaches higher have been shown to improve student engagement, motivation, and performance when applied effectively. Many students report feeling overwhelmed by the complexity content-heavy nature of anatomy, making it an ideal subject for gamification. In this project, we developed designed educational anatomy card intended students....

10.1096/fasebj.2022.36.s1.r4210 article EN The FASEB Journal 2022-05-01

ABSTRACT Background An estimated 40% of people who developed tuberculosis in 2021 were not diagnosed or treated. Pre-chemotherapy era data are a rich resource on survival for with untreated TB. We aimed to identify heterogeneities these inform more precise use them. Methods extracted from pre-chemotherapy papers reporting TB specific mortality and/or natural recovery data. used Bayesian parametric analysis model the distribution, stratifying by geography (North America versus Europe), time...

10.1101/2022.12.15.22283231 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-12-16
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