Most of my research lies at the intersection of computational social science and social epidemiology. Methodologically, my work revolves around combining disparate data sources in epidemiologically meaningful ways. More concretely, I work with individual-level, non-health data (e.g., GPS, accelerometer, and other sensor data from smartphones), traditional health data (e.g., health systems or death certificate data), and third-party data (e.g., cellphone providers or ad-tech data). To do this, I use a variety of methods such as joint Bayesian spatial models, traditional epidemiologic models, dynamical models, and demographic analysis.
Substantively, I am interested in socioeconomic and racial/ethnic inequities in health. A few current projects include (1) my K99/R00-funded work focused on reducing racial/ethnic inequities in the treatment of opioid use disorder; (2) my work with Stanford and Harvard FXB on quantifying the impacts of wildfires, natural disasters, climate change, and power outages on medically-vulnerable populations to improve resource allocation and disaster response; and (3) my work with the COVID-19 Mobility Data Network on leveraging third-party data to inform an equitable public health response to the COVID-19 pandemic, especially as it relates to non-pharmaceutical interventions and low-wage essential workers.
- Kiang MV, Irizarry RA, Buckee CO, & Balsari S, Every body counts: Measuring mortality from the COVID-19 pandemic, Annals of Internal Medicine (September 2020), doi: 10.7326/M20-3100. [Open Access] [Accompanying Editorial]
- Chin T†, Kahn R†, Li R, Chen JT, Krieger N, Buckee CO, Balsari S‡ & Kiang MV‡, US county-level level variation in intersecting individual, household, and community characteristics relevant to COVID-19 and planning an equitable response: a cross-sectional, BMJ Open (September 2020), doi: 10.1136/bmjopen-2020-039886. [†First authors contributed equally.] [‡Senior authors contributed equally.] [Pre-print version]
- Kishore N, Kiang MV, Engø-Monsen K, Vembar N, Balsari S, & Buckee CO, Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis, The Lancet Digital Health (September 2020), doi: 10.1016/S2589-7500(20)30193-X [Pre-print version]
- Kiang MV†, Santillana M†, Chen JT, Onnela J-P, Krieger N, Engø-Monsen K, Ekapirat N, Areechokchai D, Prempree P, Maude RJ‡, & Buckee CO‡, Incorporating human mobility data improves forecasts of Dengue fever in Thailand, medRxiv (July 2020), doi: 10.1101/2020.07.22.20157966. [Pre-print — not peer-reviewed.] [Open Access] [‡Senior authors contributed equally.]
- Elser H†, Kiang MV†, John EM, Simard JF, Bondy M, Nelson LM, Chen W, Linos E, Implications of the COVID-19 San Francisco Bay Area Shelter-in-Place Announcement: A cross-sectional social media survey, medRxiv (July 2020)*, doi: 10.1101/2020.06.29.20143156. [Pre-print — not peer-reviewed.] [Open Access]
- Kiang MV & Tsai AC, Statements issued by academic medical institutions after George Floyd’s killing by police and subsequent unrest in the United States: cross-sectional study, medRxiv (July 2020)*, doi: 10.1101/2020.06.22.20137844. [Pre-print — not peer-reviewed.] [Open Access] [Code]
- Kiang MV, Humphreys K, Cullen MR, Basu S. Opioid prescribing patterns among medical providers in the United States, 2003–17: retrospective, observational study, BMJ (January 2020), doi: 10.1136/bmj.l6968 [Open Access] [PDF] [Code] [Shiny Apps] [BMJ Press Release]
- Tsai AC, Kiang MV, Barnett ML, Beletsky L, Keyes KM, McGinty EE, Smith LR, Strathdee S, Wakeman SE, & Venkataramani AS, Stigma as a fundamental hindrance to the US opioid overdose crisis response, PLOS Medicine (November 2019), doi: 10.1371/journal.pmed.1002969 [Open Access] [PDF]
- Kiang MV, Krieger N, Buckee CO, Onnela JP, & Chen JT. Decomposition of the US black/white inequality in premature mortality, 2010–2015: an observational study. BMJ Open (November 2019), doi: 10.1136/bmjopen-2019-029373 [Open Access] [PDF] [Code]
- Vable AM, Kiang MV, Glymour MM, Rigdon J, Drabo EF, & Basu S, Performance of matching methods to unmatched ordinary least squares regression under constant effects, American Journal of Epidemiology (April 2019), doi: 10.1093/aje/kwz093
- Kiang MV, Basu S, Chen JT, and Alexander MJ. Assessment of changes in the geographical distribution of opioid-related mortality across the United States by opioid type, 1999- 2016. JAMA Network Open (Februrary 2019). doi: 10.1001/jamanetworkopen.2019.0040 [Open Access] [PDF] [Code] [Shiny App] [Official Press Release] [CNN] [NBC] [Altmetric]
- Gemmill A, Kiang MV, and Alexander MJ. Trends in pregnancy-associated mortality involving opioids in the United States, 2007-2016. American Journal of Obstetrics and Gynecology (January 2019). doi: 10.1016/j.ajog.2018.09.028 [Code] [Press Release]
- Kiang MV & Alexander MJ, Decomposition of the US Black/White inequality in life expectancy: Quantifying the impact of deaths of despair. Society for Epidemiologic Research Annual Meeting 2019: Minneapolis, MN (June 2019) [Slides]
- Instructor, Big Data and Infectious Disease Epidemiology (September 2019), People’s Republic of Bangladesh Directorate General of Health Services
- Course developer (x2), Using Python for Research via HarvardX V1 (November 2016) and V2 (January 2018), HSPH, Professor Jukka-Pekka Onnela
- Instructor, Intro to Causal Inference for Data Science Workshop (March 2017), Instituto Tecnológico Autónomo de México
- Teaching assistant (x2), Dynamics of Infectious Disease (Spring 2017 and Spring 2018), HSPH, Professor Caroline Buckee
- Teaching assistant, Society and Health (Fall 2013), HSPH, Professor Ichiro Kawachi
- Teaching assistant, Biostatistics II (Spring 2010), NYU, Professor Ying Lu
- Teaching assistant, Statistics I (Fall 2009), NYU, Professor Robert Norman
†First authors contributed equally.
‡Senior authors contributed equally.
§Best student poster award.