Resources Repository
-
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Microsimulation | Calibration/Validation | Health/Medicine | Culture/Society | North America | Chronic Disease/Risk | Social Determinants -
ArticlePublication 2021Identifying Credible Sources of Health Information in Social Media: Principles and Attributes
Social media is widely used as a source of health information for the general public. …
Social media is widely used as a source of health information for the general public. The potential for information shared through social media to influence health outcomes necessitates action by social media platforms to enhance access and exposure to high-quality, science-based information. This paper summarizes the work of an independent advisory group convened by the National Academy of Medicine that deliberated and gathered information to develop a set of initial principles and attributes that could…
Decision Psychology | Health/Medicine | Education/Labor | Culture/Society | North America | Preferences/Values | Social Determinants | Policy/Regulation | Science/Technology -
ArticlePublication 2020New Fronts in the War on Misinformation
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about …
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about how to prevent the virus, for example, and conspiracy theories about its origins – are just the latest manifestation of an ongoing problem: the online proliferation of misinformation about science and health. The National Academies hosted and helped organize three events focused on countering misinformation: The MisinfoCon conference, a Wikipedia Edit-a-thon, and a meeting to explore ways to expand successful…
Decision Psychology | Health/Medicine | Education/Labor | Culture/Society | North America | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Government/Law | Science/Technology -
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | North America | Cost-Effectiveness Analysis | Chronic Disease/Risk | Graduate -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | North America | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance -
ArticlePublication 2013Estimated Mortality Impact of Vaccinations 2011–2020 in 73 GAVI Alliance Countries
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted …
From August to December 2011, a multidisciplinary group with expertise in mathematical modeling was constituted by the GAVI Alliance and the Bill & Melinda Gates Foundation to estimate the impact of vaccination in 73 countries supported by the GAVI Alliance. The number of deaths averted in persons projected to be vaccinated during 2011–2020 was estimated for ten antigens: hepatitis B, yellow fever, Haemophilus influenzae type B (Hib), Streptococcus pneumoniae, rotavirus, Neisseria meningitidis serogroup A, Japanese…
Microsimulation | Mathematical Models | Dynamic Transmission | Health/Medicine | Sub-Saharan Africa | Health Outcomes | State-Transition | Infectious Diseases | Global Governance | Economics/Finance | Science/Technology | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2009Cost Effectiveness Analysis of Including Boys in a HPV Vaccination Program in the U.S.
This article reports on a societal-perspective cost effectiveness analysis of including preadolescent boys in a …
This article reports on a societal-perspective cost effectiveness analysis of including preadolescent boys in a routine human papillomavirus (HPV) vaccination program for preadolescent girls. The analysis included girls and boys aged 12 years; interventions included HPV vaccination of girls alone and of girls and boys in the context of screening for cervical cancer. The authors found that with 75% vaccination coverage and an assumption of complete, lifelong vaccine efficacy, routine HPV vaccination of 12-year-old girls…
Microsimulation | Calibration/Validation | Dynamic Transmission | Health/Medicine | North America | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Economics/Finance -
ArticlePublication 2008Health and Economic Implications of HPV Vaccination in the U.S.
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical …
This article reports on a study using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls in the US (at 12 years of age), and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). The study also examined the health benefits of averting other HPV-16-related and HPV-18-related cancers, the prevention of HPV-6-related and HPV-11-related genital warts and…
Microsimulation | Calibration/Validation | Dynamic Transmission | Health/Medicine | North America | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Science/Technology -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Microsimulation | Calibration/Validation | Health/Medicine | North America | Chronic Disease/Risk