Resources Repository
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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…
Mathematical Models | Dynamic Transmission | Health Outcomes | Health/Medicine | Science/Technology | State-Transition | Microsimulation | Infectious Diseases | Global Governance | Economics/Finance | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2021Individual and Social Determinants of COVID-19 Vaccine Uptake
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using …
This article examined the individual, communication and social determinants associated with COVID-19 vaccine uptake using national survey data collected before vaccines were available in the U.S. Of note, individuals under the federal poverty level and racial and ethnic minorities were oversampled. Outcomes included the likelihood of vaccinating self and dependents (e.g., children). Independent variables included perceptions of risk, exposure to different media for COVID-19 news, political party identification, confidence in scientists and social determinants of…
Evidence Synthesis | Health Outcomes | Health/Medicine | Science/Technology | Infectious Diseases | Social Determinants | Policy/Regulation | Clinical Care | Culture/Society | North America -
ArticlePublication 2021COVID-19 Vaccine Hesitancy: The Five C's to Tackle Behavioral and Sociodemographic Factors
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of …
Reversing and mitigating the ongoing damage associated with the COVID-19 pandemic requires that 60-70% of the world’s population needs to be vaccinated. This article acknowledges that hesitancy is one of the most substantial hurdles to vaccination uptake at levels that would achieve herd immunity. Authors define hesitancy as “a delay in acceptance or refusal despite availability.” Five factors are proposed to tackle vaccine hesitancy, referred to as the five “C’s”: Confidence (importance, safety and efficacy…
Evidence Synthesis | Health Outcomes | Health/Medicine | Science/Technology | Decision Psychology | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | North America -
ArticlePublication 2018Equity Impact Vaccines May Have on Averting Deaths and Medical Impoverishment
In this analysis, authors estimated the number of deaths averted and the number of cases …
In this analysis, authors estimated the number of deaths averted and the number of cases of medical impoverishment averted of ten antigens and their corresponding vaccines across income quintiles for forty-one low- and middle-income countries. The study found that vaccines administered between 2016 and 2030 would prevent 36 million deaths. Vaccines will have the greatest impact on reducing cases of poverty caused by hepatitis B, helping an estimated 14 million people avoid medical impoverishment. An…
Mathematical Models | Health Outcomes | Health/Medicine | Science/Technology | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Global Governance | Economics/Finance | Sub-Saharan Africa | Middle East & North Africa | Asia & Pacific -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Mathematical Models | Health/Medicine | Science/Technology | Calibration/Validation | Chronic Disease/Risk | Health Systems | Clinical Care | North America -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Evidence Synthesis | Health Outcomes | Health/Medicine | Science/Technology | Preferences/Values | Test Performance | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Clinical Care | North America -
ArticlePublication 2014Indemics: Interactive Computing Framework for Data Intensive Epidemic Modeling
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing …
The design and prototype implementation of Indemics (Interactive EpidemicSimulation) is described, a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. Indemics can support policy analysts and epidemiologists interested in planning and control of pandemics. Indemics goes beyond traditional epidemic simulations by providing a way to represent and analyze policy-based as well as individual-based adaptive interventions. Users can also stop the simulation at any point, assess the state of the simulated system, and…
Mathematical Models | Dynamic Transmission | Health/Medicine | Science/Technology | Infectious Diseases -
ArticlePublication 2011Dynamic Policies for Controlling Spread of Emerging Infections
This paper illustrates the design and implementation of a dynamic health policy for the control …
This paper illustrates the design and implementation of a dynamic health policy for the control of a novel strain of influenza, where two types of interventions are assumed to be available during the epidemic: (1) vaccines and antiviral drugs, and (2) transmission reducing measures, such as social distancing or mask use, that may be turned "on" or "off" repeatedly during the course of epidemic. A modeling approach is described for developing dynamic health policies that allow…
Mathematical Models | Dynamic Transmission | Health/Medicine | Science/Technology | Dynamic Simulation | Infectious Diseases | Health Systems | Policy/Regulation | Global -
ArticlePublication 2024Extended Cost-Effectiveness Analysis of Interventions to Improve Uptake of Diabetes Services in South Africa
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes …
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes diagnosis and treatment service utilization in South Africa (SA) using extended cost-effectiveness analysis (ECEA). Applying a Markov model over a 45-year period, the analysis compares costs, health benefits, and financial risk protection (FRP) attributes of different CCT strategies, drawing from SA-specific data. Three scenarios were simulated: covering diagnosis services only, treatment services only, and both diagnosis and treatment services. Cost-effectiveness,…
Mathematical Models | Health Outcomes | Health/Medicine | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Sub-Saharan Africa