Prior MIDAS initiatives have developed agent-based models of infectious disease that contain sufficient biologic, behavioral and geographically detailed data to assess the impact of mitigation strategies on epidemic outcomes. Local, state and national policy makers have used tools based on these models to evaluate mitigation strategies in epidemic influenza and other infectious diseases. However, these tools have not yet provided policy makers with fully integrated evaluations across all dimensions of interest, nor have they provided comprehensive measures of the confidence surrounding model results. When making decisions regarding potential or real infectious disease threats, policy makers must balance a wide array of agendas and priorities which extend beyond the epidemic outcomes of number of cases and the subsequent mortality and morbidity of the disease. Through multiple interactions with policy makers, we characterized and aggregated these into three measurable dimensions represented in the """"""""LEO"""""""" acronym: Legal and policy specifications. Economic resources and assets, and Operational performance. Although we have conducted investigations that used components of this framework to evaluate different strategies, these evaluations were conducted outside of the simulation model of disease. Therefore, there are two overarching goals of the Policy Methods project in this application: 1) provide integrated model-based mechanisms to evaluate the implementation of disease mitigation strategies, including the laws and policies that support them, the economic costs and savings they produce, and the operational capabilities they require;and 2) provide estimates of the variability of model results and the value of reducing model uncertainty to increase surety that appropriate mitigation decisions are made. This work will develop, in collaboration with the external policy makers involved in the Policy Studies component of this application, the methods and tools to inform infectious disease decision making across a broad array of clinical, economic, legal and social concerns.
Successful completion of this work will provide a platform that allows policy makers to evaluate potential mitigation strategies across a much wider range of policy-relevant outcomes, including geographically specific detail regarding the impact of mitigation strategies on epidemic outcomes, economic consequences, and the legal and operational ability of health care and public health organizations to respond to threats.
|Brownwright, Tenley K; Dodson, Zan M; van Panhuis, Willem G (2017) Spatial clustering of measles vaccination coverage among children in sub-Saharan Africa. BMC Public Health 17:957|
|Salje, Henrik; Lessler, Justin; Maljkovic Berry, Irina et al. (2017) Dengue diversity across spatial and temporal scales: Local structure and the effect of host population size. Science 355:1302-1306|
|Kirsch, Thomas D; Moseson, Heidi; Massaquoi, Moses et al. (2017) Impact of interventions and the incidence of ebola virus disease in Liberia-implications for future epidemics. Health Policy Plan 32:205-214|
|Grubaugh, Nathan D; Ladner, Jason T; Kraemer, Moritz U G et al. (2017) Genomic epidemiology reveals multiple introductions of Zika virus into the United States. Nature 546:401-405|
|Farrow, David C; Brooks, Logan C; Hyun, Sangwon et al. (2017) A human judgment approach to epidemiological forecasting. PLoS Comput Biol 13:e1005248|
|Grantz, Kyra H; Rane, Madhura S; Salje, Henrik et al. (2017) Reply to Shanks and Brundage: Many plausible mechanisms of pandemic mortality disparities. Proc Natl Acad Sci U S A 114:E3588-E3589|
|Clapham, Hannah E; Rodriguez-Barraquer, Isabel; Azman, Andrew S et al. (2016) Dengue Virus (DENV) Neutralizing Antibody Kinetics in Children After Symptomatic Primary and Postprimary DENV Infection. J Infect Dis 213:1428-35|
|Lessler, Justin; Ott, Cassandra T; Carcelen, Andrea C et al. (2016) Times to key events in Zika virus infection and implications for blood donation: a systematic review. Bull World Health Organ 94:841-849|
|Nisalak, Ananda; Clapham, Hannah E; Kalayanarooj, Siripen et al. (2016) Forty Years of Dengue Surveillance at a Tertiary Pediatric Hospital in Bangkok, Thailand, 1973-2012. Am J Trop Med Hyg 94:1342-7|
|Chhatwal, Jagpreet; Jayasuriya, Suren; Elbasha, Elamin H (2016) Changing Cycle Lengths in State-Transition Models: Challenges and Solutions. Med Decis Making 36:952-64|
Showing the most recent 10 out of 213 publications