Online misinformation and vaccine hesitancy
R Garett, SD Young - Translational behavioral medicine, 2021 - academic.oup.com
Although rates of vaccination have increased worldwide, the rise in nonmedical exemptions
for vaccination may have caused a resurgence of childhood vaccine-preventable diseases …
for vaccination may have caused a resurgence of childhood vaccine-preventable diseases …
It's just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy
To achieve high accuracy in machine learning (ML) systems, practitioners often use complex
“black-box” models that are not easily understood by humans. The opacity of such models …
“black-box” models that are not easily understood by humans. The opacity of such models …
The possibility of fairness: Revisiting the impossibility theorem in practice
The “impossibility theorem”—which is considered foundational in algorithmic fairness
literature—asserts that there must be trade-offs between common notions of fairness and …
literature—asserts that there must be trade-offs between common notions of fairness and …
Predicting vaccine hesitancy from area‐level indicators: A machine learning approach
Vaccine hesitancy (VH) might represent a serious threat to the next COVID‐19 mass
immunization campaign. We use machine learning algorithms to predict communities at a …
immunization campaign. We use machine learning algorithms to predict communities at a …
Think about the stakeholders first! Toward an algorithmic transparency playbook for regulatory compliance
Increasingly, laws are being proposed and passed by governments around the world to
regulate artificial intelligence (AI) systems implemented into the public and private sectors …
regulate artificial intelligence (AI) systems implemented into the public and private sectors …
Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models
Measles is one of the significant public health issues responsible for the high mortality rate
around the globe, especially for developing countries. Using nationally representative …
around the globe, especially for developing countries. Using nationally representative …
Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria
A Biswas, J Tucker, S Bauhoff - BMJ Global Health, 2023 - gh.bmj.com
Introduction Many children in low-income and middle-income countries fail to receive any
routine vaccinations. There is little evidence on how to effectively and efficiently identify and …
routine vaccinations. There is little evidence on how to effectively and efficiently identify and …
The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization's Algorithms
Welcome to 2033, the year when AI, while not yet sentient, can finally be considered
responsible. Only systems that work well, improve efficiency, are fair, law abiding, and …
responsible. Only systems that work well, improve efficiency, are fair, law abiding, and …
An analysis of COVID-19 vaccine hesitancy in the US
Reluctance or refusal to get vaccinated, commonly known as Vaccine Hesitancy (VH), poses
a significant challenge to COVID-19 vaccination campaigns. Understanding the factors …
a significant challenge to COVID-19 vaccination campaigns. Understanding the factors …
A Graph Based Deep Learning Framework for Predicting Spatio-Temporal Vaccine Hesitancy
Predicting vaccine hesitancy at a fine spatial level assists local policymakers in taking timely
action. Vaccine hesitancy is a heterogeneous phenomenon that has a spatial and temporal …
action. Vaccine hesitancy is a heterogeneous phenomenon that has a spatial and temporal …