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Resources Repository
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ArticlePublication 2020Conspiracy Theories as Barriers to Controlling the Spread of COVID-19 in the U.S.
This article uses national probability survey data of U.S. adults to assess the relationship between …
This article uses national probability survey data of U.S. adults to assess the relationship between belief in three COVID-19-related conspiracy theories to adoption of preventive measures recommended by public health authorities, vaccination intentions, conspiracy beliefs, perceptions of threat, belief about the safety of vaccines, political ideology, and media exposure patterns. Authors found that conspiracy theory beliefs were highly stable across two periods of the survey and inversely related to the (1) perceived threat of the…
Preferences/Values | Decision Psychology | North America | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | Health/Medicine | 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…
Preferences/Values | Decision Psychology | North America | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Education/Labor | Government/Law | Health/Medicine | Science/Technology -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Priority Setting/Ethics | Operations Research | North America | Infectious Diseases | Mathematical Models | Health/Medicine | Professional | Policy Translation -
ArticlePublication 2018Poverty Reduction & Equity Benefits of Measles, Rotavirus and Pneumococcal Vaccines in LMICs
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization …
This study uses the extended cost effectiveness analysis (ECEA) to evaluate the impact of immunization against measles, severe pneumococcal disease and severe rotavirus for birth cohorts vaccinated over 2016–2030 for three scenarios in 41 Gavi-eligible countries: no immunization, current immunization coverage forecasts and the current immunization coverage enhanced with funding support. Following the distribution of the cases by socioeconomic group, the study found that the number of catastrophic health costs (CHC) cases attributable to measles,…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Global | Infectious Diseases | Mathematical Models | Child/Nutrition | Health/Medicine -
ReportPublication 2017DCP3: Improving Health and Reducing Poverty
This report from the World Bank is the ninth and final volume of the Disease …
This report from the World Bank is the ninth and final volume of the Disease Control Priorities, Third Edition (DCP3) series. It provides an overview of the findings and methods explored in the first eight volumes, placing them within a framework that identifies an efficient pathway toward essential universal health coverage through the implementation of 21 essential packages that include health interventions and fiscal and intersectoral policies. The Disease Control Priorities Network (DCP) promotes and…
Benefit-Cost Analysis | Cost-Effectiveness Analysis | Global | Infectious Diseases | Costing Methods | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Global Governance | Economics/Finance | Government/Law | Health/Medicine | Science/Technology -
Resource PortalWeb Portal, Teaching Resource 2021Disease Control Priorities (DCP3)
DCP3 includes a comprehensive review of the efficacy, effectiveness, and cost-effectiveness of priority health interventions …
DCP3 includes a comprehensive review of the efficacy, effectiveness, and cost-effectiveness of priority health interventions with the goal of influencing program design and resource allocation at global and country levels. DCP3 includes nine individual volumes, with the first eight structured around packages of conceptually related interventions, and the ninth providing an overview of main findings. Publicly available resources include journal articles and reports, both DCP3 and non-DCP3 related, as well as presentations, working papers, and book…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Global | Infectious Diseases | Costing Methods | Evidence Synthesis | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Policy/Regulation | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation -
ArticlePublication 2017Getting it Right When Budgets are Tight: Prioritizing Responses to HIV Epidemics
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and …
Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and epidemiological outcomes. It can be difficult for countries to know which interventions to prioritize for greatest epidemiological impact, particularly when budgets are uncertain.The authors examined four case studies of HIV epidemics in diverse settings, each with different characteristics. These case studies were based on public data available for Belarus, Peru, Togo, and Myanmar. The Optima HIV model and software package…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Latin America & Caribbean | Infectious Diseases | Costing Methods | Mathematical Models | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa | Middle East & North Africa | Asia & Pacific -
ArticlePublication 2017When Cost-Effective Interventions Are Unaffordable
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, …
Many health interventions deemed cost-effective are not affordable. Despite the importance of affordability to policymakers, little of the cost-effectiveness literature in global health addresses this issue. Budget impact analysis (BIA) describes an intervention's short-term costs and savings from the payer's perspective. This paper assesses the current use of budget impact analysis (BIA) and cost-effectiveness analysis (CEA) in health economic assessments conducted for low- and middle-income countries (LMICs). The authors recommend steps researchers and policymakers can…
Priority Setting/Ethics | Cost-Effectiveness Analysis | Global | Infectious Diseases | Costing Methods | Chronic Disease/Risk | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Science/Technology -
ArticlePublication 2017Predicting Carer Health Effects for Use in Economic Evaluation
Illnesses and interventions can affect the health status of family carers in addition to patients. …
Illnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers. In order to investigate whether changes in carer health status could be ‘predicted’ from the health data of those they provide care to, as a means of incorporating carer outcomes in economic evaluation, the authors used regression models to analyse changes in carers’ health status. They derive predictive algorithms based on…
Preferences/Values | Cost-Effectiveness Analysis | North America | Infectious Diseases | Health Outcomes | Health/Medicine | Europe