Resources Repository
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ArticlePublication 2008Development of an Empirically Calibrated Model of Gastric Cancer in Two High-Risk Countries
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in …
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in China and Colombia to provide qualitative insight into the cost-effectiveness of gastric cancer prevention strategies. Despite studies that have established the relationship between Helicobacter pylori and gastric cancer and H. pylori treatment reducing cancer incidence among individuals without preexisting precancerous lesions, screening for H. pylori is still being debated. The authors synthesized…!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /-->
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | Infectious Diseases | Chronic Disease/Risk | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | Infectious Diseases | Chronic Disease/Risk | Latin America & Caribbean -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Microsimulation | Calibration/Validation | Health/Medicine | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
ArticlePublication 2010Alternative Strategies to Reduce Maternal Mortality in India: A Cost-Effectiveness Analysis
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy …
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy and childbirth safety in India. Country- and region-specific data were synthesized using a computer-based model that simulates the natural history of pregnancy and pregnancy-associated complications in individual women, and considers delivery location, attendant, and facility level. Model validation compared projected maternal indicators with empiric data. Strategies consisted of improving coverage of effective interventions that could be provided individually or packaged…
Microsimulation | Mathematical Models | Health/Medicine | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Economics/Finance | Global | Asia & Pacific -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Mathematical Models | Health/Medicine | Priority Setting/Ethics | Health Systems | Clinical Care | North America -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Mathematical Models | Operations Research | Health/Medicine | Chronic Disease/Risk | North America -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Health/Medicine | Decision Theory | Priority Setting/Ethics | Infectious Diseases | Policy/Regulation | Government/Law | Science/Technology | Global -
ArticlePublication 2021Misinformation in and About Science
Humans learn about the world by collectively acquiring information, filtering it, and sharing what we …
Humans learn about the world by collectively acquiring information, filtering it, and sharing what we know. Misinformation undermines this process. The repercussions are extensive. Without reliable and accurate sources of information, we cannot hope to halt climate change, make reasoned democratic decisions, or control a global pandemic. Most analyses of misinformation focus on popular and social media, but the scientific enterprise faces a parallel set of problems – from hype and hyperbole to publication bias…
Culture/Society | Decision Psychology | Preferences/Values | Social Determinants | Government/Law | Science/Technology | Global | North America -
ArticlePublication 2021Misinformation and Public Opinion of Science and Health
This article summarizes the literature on misinformation, beginning with an overview of the most common …
This article summarizes the literature on misinformation, beginning with an overview of the most common definitions of misinformation (and related terms) in the communication literature and then a review of academic studies in the areas of science and health. The author acknowledges four overarching questions that have emerged prominently in recent years: (1) What does “misinformation” (and the terms that are oftentimes treated synonymously) mean? (2) How big of a problem is it in areas…
Culture/Society | Decision Psychology | Preferences/Values | Social Determinants | Climate/Environment | Energy/Engineering | Education/Labor | Science/Technology | Global | North America