Addressing vaccine hesitancy: the LEARN approach

Immunization programs today stand at crossroads. Even as COVID vaccine campaigns continue, inequity, concerns and confusion around them seems ever expanding. While vaccine hesitancy in some form or the other has existed since the inception of vaccination, the complex and dynamic world that we live in now has resulted in hesitancy to vaccines become an outcome of myriad interactions that we encounter in our day to day lives. Factors extraneous to health systems are major determinants and it is essentially the culmination of economics, politics, science, and technology impacting human behaviors and emotions which result in a parent, family or a community arrive at the decision of whether to or not to vaccinate. Vaccine hesitancy is on the rise, it is becoming more organized and now is not just a problem of high- income countries. It is imperative that as public health advocates, academicians, policy makers, managers and implementers we recognize it and adopt a non-judgmental and non-partisan approach built on empathy, respect and trust and not just scientific knowledge and theorems to address it. The current paper puts forward a novel approach to address hesitancy, the LEARN approach: and advocates that we need to ‘Listen’ to the voices of concern, ‘Engage’ with all stakeholders, ‘Articulate’ and communicate better in a language which is simple and comprehensible, ‘Reflect’ on what works and what does not and at the same time ‘Negate’ events and episodes which dent confidence in science and promote complacency.

Human Behaviors Encountered During the Different Phases of the Kondratieff Cycle

There are different behaviors appropriate to the different phases of growth. This has been observed among species in nature as they go through the four seasons, but also among humans in society as different economic-growth phases succeed one another. Typically, difficult times stimulate entrepreneurship whereas prosperity nurtures conservatism. Less obviously, preoccupation with the "what" characterizes formative times whereas preoccupation with the "how" characterizes periods of maturity. A multitude of different behaviors can be mapped on the four phases of any growth cycle. On a larger scale, and to the extent that society is anthropomorphic, society as a whole goes through different behaviors while experiencing transitionsbetween cyclical phases of growth. Given a growth phase we can expect specific behaviors, and inversely, given a specific behavior we can deduce the growth phase being traversed. It follows that WWII may have been survival-driven whereas WWI greed-driven.

Vaccinations, Mobility and COVID-19 Transmission

In order to prevent the spread of coronavirus disease 2019 (COVID-19), 52.4% of the world population had received at least one dose of a vaccine at17 November 2021, but little is known about the non-pharmaceutical aspect of vaccination. Here we empirically examine the impact of vaccination on human behaviors and COVID-19 transmission via structural equation modeling. The results suggest that, from a non-pharmaceutical perspective, the effectiveness of COVID-19 vaccines is related to human behaviors, in this case, mobility; vaccination slows the spread of COVID-19 in the regions where vaccination is negatively related to mobility, but such an effect is not observed in the regions where vaccination and mobility have positive correlations. This article highlights the significance of mobility in realizing the effectiveness of COVID-19 vaccines; even with large-scale vaccination, non-pharmaceutical interventions, such as social distancing, are still required to contain the transmission of COVID-19.

Some evidences and applications of the randomized response crossed model in a survey of sensitive population behaviors

Surveying human behaviors, especially in demographic, social, medical and public health research, often involves sensitive issues. Posing direct inquiries about stigmatizing or threatening topics may lead survey participants to refuse to answer or to give untruthful responses. Nonresponse and misreporting denote measurement errors that are difficult to treat and are likely to yield unreliable analyses of the surveyed topics. This problem can be mitigated by adopting survey methods that enhance anonymity and respondent cooperation. One possibility is to create a trustful and confidential relationship between the interviewer and the survey participants. Alternatively, it is possible to fully protect privacy by adopting indirect questioning procedures that elicit information without posing sensitive questions directly. We consider both above-mentioned possibilities showing the results of a real study which explores the effectiveness of the randomized response crossed model proposed by Lee et al. (2013) to produce prevalence estimates for two sensitive traits, cannabis use and its legalization.

Twelve Principles to Guide a Long-Overdue Paradigm Shift

If human behaviors are associated with climate change, it relates to how we consume, entertain, travel, do business, relate to “natural resources”, to ourselves and to each other. The authors posit that human behaviors are but the visible tip of the iceberg, sustained underwater by a voluminous mass comprised of our values, beliefs, assumptions, the anchors of our identity and shared paradigms. They trace back the history of a shared paradigm that has become dysfunctional and introduce the Sustainability Mindset Principles - a scaffolding to address the complexity of the paradigm. This paper describes how the dysfunctional paradigm can be brought back into balance by developing neglected aspects of a Western-Northern worldview that has been shaping our behaviors for centuries. By naming these aspects, the authors propose a language to incite the readers’ imagination of what is possible. Naming creates reality.

Government disclosure in influencing people’s behaviors during a public health emergency

We shed light on the importance of government disclosure in public emergency management. During the outbreak of COVID-19, provinces in China entered a government disclosure regime, which mandated the disclosure of the number of people infected with the virus on a daily basis. Each province also voluntarily disclosed its own virus situation. We find that various forms of province-level government disclosure generally reduced the number of trips made by the infected and sped up their diagnosis. They also raised attention paid to the virus and self-protection awareness as well as reduced mobility among the susceptible. Finally, government voluntary disclosure helped to reduce the duration of local epidemics. We conclude that government disclosure can be effective in instilling the correct human behaviors that are conducive to fighting the pandemic.

Isolated Areas Consumption Short-Term Forecasting Method

Forecasting consumption in isolated areas represents a challenging problem typically resolved using deep learning or huge mathematical models with various dimensions. Those models require expertise in metering and algorithms and the equipment needs to be frequently maintained. In the context of the MAESHA H2020 project, most of the consumers and producers are isolated. Forecasting becomes more difficult due to the lack of external data and the significant impact of human behaviors on those small systems. The proposed approach is based on data sequencing, sequential mining, and pattern mining to infer the results into a Hidden Markov Model. It only needs the consumption and production curve as a time series and adapts itself to provide the forecast. Our method gives a better forecast than other prediction machines and deep-learning methods used in literature review.

Pharmacologic Treatment of Psychiatric Disorders

Human behaviors such as thinking, feeling, and action can be viewed as products of the interactions between brain circuits, neurotransmitters, and oscillations that are influenced to a certain extent by inherited genes, acquired values, and social norms. A psychiatric disorder reflects a dysfunctional brain, and 1 way to treat such a condition is through the use of pharmacologic compounds that can help restore order in a disorderly brain.

Mining Potential Requirements by Calculation of User Operations

This study proposes a method for mining potential user requirements from users’ nonverbal behaviors by analyzing their operational problems, since human behaviors reflect emotions and operational bottlenecks in human-machine interactions. Taking a single daily operation task as an example, three key steps were included in the method: first, modeling users’ operation and constructing the operation chain; second, finding emotional or physical problems in the operation chain, where the problems were defined mathematically as an emotional or physical load at each suboperation; and third, defining and obtaining potential user requirements by improving the operational problems when performing a task. Furthermore, a daily operation task was introduced to demonstrate and validate the method of mining user potential requirements. The results indicate that it is effective to discover the potential needs for a specific product and provide satisfactory solutions by calculating and optimizing operational problems.