scholarly journals The influence of gender on immunisation: using an ecological framework to examine intersecting inequities and pathways to change

2019 ◽  
Vol 4 (5) ◽  
pp. e001711 ◽  
Author(s):  
Marta Feletto ◽  
Alyssa Sharkey
Keyword(s):  
Ecological Model ◽  
Change Agents ◽  
Structural Complexity ◽  
Specific Population ◽  
Gender Inequity ◽  
The Social ◽  
Underlying Causes ◽  
Individual Household ◽  
Gender Inequities ◽  
Suitable Change

There is still a substantial knowledge gap on how gender mediates child health in general, and child immunisation outcomes in particular. Similarly, implementation of interventions to mitigate gender inequities that hinder children from being vaccinated requires additional perspectives and research. We adopt an intersectional approach to gender and delve into the social ecology of implementation, to show how gender inequities and their connection with immunisation are grounded in the interplay between individual, household, community and system factors. We show how an ecological model can be used as an overarching framework to support more precise identification of the mechanisms causing gender inequity and their structural complexity, to identify suitable change agents and interventions that target the underlying causes of marginalisation, and to ensure outcomes are relevant within specific population groups.

Social Failure Modes in Technology and the Ethics of AI

2020 ◽  
pp. 441-461
Author(s):  
Jason Millar
Keyword(s):  
Engineering Design ◽  
Failure Modes ◽  
Design Practice ◽  
Detailed Understanding ◽  
Ethical Implications ◽  
The Social ◽  
Underlying Causes ◽  
Physical Defects ◽  
Definition Of

This chapter argues that, just as technological artefacts can break as a result of mechanical, electrical, or other physical defects not fully accounted for in their design, they can also break as a result of social defects not fully accounted for in their design. These failures resulting from social defects can be called social failures. The chapter then proposes a definition of social failure as well as a taxonomy of social failure modes—the underlying causes that lead to social failures. An explicit and detailed understanding of social failure modes, if properly applied in engineering design practice, could result in a fuller evaluation of the social and ethical implications of technology, either during the upstream design and engineering phases of a product, or after its release. Ideally, studying social failure modes will improve people’s ability to anticipate and reduce the rate or severity of undesirable social failures prior to releasing technology into the wild.

scholarly journals Characterising Local Knowledge across the Flood Risk Management Cycle: A Case Study of Southern Malawi

2019 ◽  
Vol 11 (6) ◽  
pp. 1681 ◽  
Author(s):  
Robert Šakić Trogrlić ◽  
Grant Wright ◽  
Melanie Duncan ◽  
Marc van den Homberg ◽  
Adebayo Adeloye ◽  
...  
Keyword(s):  
Risk Management ◽  
Local Knowledge ◽  
Flood Risk ◽  
Local Level ◽  
Flood Risk Management ◽  
Group Discussions ◽  
The Social ◽  
Underlying Causes ◽  
Complex Knowledge

People possess a creative set of strategies based on their local knowledge (LK) that allow them to stay in flood-prone areas. Stakeholders involved with local level flood risk management (FRM) often overlook and underutilise this LK. There is thus an increasing need for its identification, documentation and assessment. Based on qualitative research, this paper critically explores the notion of LK in Malawi. Data was collected through 15 focus group discussions, 36 interviews and field observation, and analysed using thematic analysis. Findings indicate that local communities have a complex knowledge system that cuts across different stages of the FRM cycle and forms a component of community resilience. LK is not homogenous within a community, and is highly dependent on the social and political contexts. Access to LK is not equally available to everyone, conditioned by the access to resources and underlying causes of vulnerability that are outside communities’ influence. There are also limits to LK; it is impacted by exogenous processes (e.g., environmental degradation, climate change) that are changing the nature of flooding at local levels, rendering LK, which is based on historical observations, less relevant. It is dynamic and informally triangulated with scientific knowledge brought about by development partners. This paper offers valuable insights for FRM stakeholders as to how to consider LK in their approaches.

scholarly journals Conceptualizing the effects of the COVID-19 pandemic on people with opioid use disorder: an application of the social ecological model

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ethan Cowan ◽  
Maria R. Khan ◽  
Siri Shastry ◽  
E. Jennifer Edelman
Keyword(s):  
Structural Changes ◽  
Ecological Model ◽  
Disease Incidence ◽  
Opioid Use Disorder ◽  
Social Ecological Model ◽  
Physical And Mental Health ◽  
Opioid Use ◽  
Social Ecological ◽  
The Social ◽  
The Impact

AbstractThe COVID-19 pandemic has resulted in unparalleled societal disruption with wide ranging effects on individual liberties, the economy, and physical and mental health. While no social strata or population has been spared, the pandemic has posed unique and poorly characterized challenges for individuals with opioid use disorder (OUD). Given the pandemic’s broad effects, it is helpful to organize the risks posed to specific populations using theoretical models. These models can guide scientific inquiry, interventions, and public policy. Models also provide a visual image of the interplay of individual-, network-, community-, structural-, and pandemic-level factors that can lead to increased risks of infection and associated morbidity and mortality for individuals and populations. Such models are not unidirectional, in that actions of individuals, networks, communities and structural changes can also affect overall disease incidence and prevalence. In this commentary, we describe how the social ecological model (SEM) may be applied to describe the theoretical effects of the COVID-19 pandemic on individuals with opioid use disorder (OUD). This model can provide a necessary framework to systematically guide time-sensitive research and implementation of individual-, community-, and policy-level interventions to mitigate the impact of the COVID-19 pandemic on individuals with OUD.

scholarly journals Factors Associated with Food Insecurity Following Hurricane Harvey in Texas

2020 ◽  
Vol 17 (3) ◽  
pp. 762 ◽  
Author(s):  
Lauren A. Clay ◽  
Ashley D. Ross
Keyword(s):  
Social Support ◽  
Food Insecurity ◽  
Ecological Model ◽  
Chi Square ◽  
High Social Support ◽  
Multivariate Logistic Model ◽  
Community Based Organization ◽  
Individual Household ◽  
Policies And Programs ◽  
Chi Square Analysis

Food insecurity prevalence among disaster-affected households has been found to be higher than state prevalence in non-disaster times. This study applies a socio-ecological model of post-disaster food insecurity to a nested quota sample (n = 1002) recruited for a web survey from 41 Texas counties affected by Hurricane Harvey 12–15 months post-event. This analysis identifies risk and protective factors for food insecurity. Chi-square analysis was used to examine independent associations between individual, household, and social factors with food insecurity. A multivariate logistic model was fitted and adjusted odds ratios are reported. Economic instability (adjusted odds ratio (OR) 2.43; 95% Confidence Interval (CI) 1.73, 3.41), relocation due to Hurricane Harvey (OR 1.89; CI 1.15, 3.09), major home damage (OR 2.11; CI 1.12, 3.98), non-white race – black (OR 1.79; CI 1.01, 3.18), Hispanic (OR 1.67; CI 1.09, 2.54), other race (OR 4.39; CI 1.96, 9.82) – and community-based organization assistance (1.99; 1.11, 3.58) were risk factors while older age (45–64 years: 0.49; 0.32, 0.73; 65+ years 0.40; 0.22, 0.75), better physical health (0.46; 0.29, 0.71), better mental health (0.46; 0.32, 0.67), and high social support (0.37; 0.25, 0.55) were protective against food insecurity. Disaster policies and programs should address the disproportionate burden on households that relocate or have health conditions. Fostering social support networks, especially among relocated populations, may improve disaster health outcomes.

Social marketing hackers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria M. Raciti
Keyword(s):  
Social Marketing ◽  
Change Agents ◽  
Content Type ◽  
Marketing Professional ◽  
The Social ◽  
Greater Good ◽  
The Many ◽  
Behaviour Changes ◽  
Social Causes ◽  
Blind Spots

Purpose Social marketing has come of age. Today, the study is a legitimate discipline with a wealth of empirical evidence that manifestly demonstrates the ability to bring about behaviour changes for the greater good. As social marketers, the study is rapidly expanding the horizons, with a growing interest in the labyrinth of systems that influence the chosen social causes. The study has become brave and bold, but is the study now running the risk of romanticising the work and ourselves? It is time to recalibrate, to take stock and to address the elephants in the social marketing room. Design/methodology/approach Expanding on my Change 2020 Driving Systems Change panel presentation, this study is a provocation, a think piece, centred around two observed phenomena. Findings The first phenomenon observed is the many identities of the contemporary social marketer – hackers, change agents, heroes, political power brokers and master puppeteers. The second phenomenon observed is the accelerated interest in systems thinking for which the author propose three preconditions are needed – an awareness of the system(s); an acknowledgement that this study is a part of the system(s) and the need to decolonise social marketing. Originality/value This paper poses challenging questions but offers no solutions as to how social marketers should, could or do square up the blind spots, make peace with the paradoxes or unblinking the views. Not only would it be naïve to proffer solutions but it would also stifle the growth of you, the reader, in your journey to becoming an integrated person and woke social marketing professional.

Men Who Have Sex With Men and HIV Risk Behavior: Exploring the Influence of Masculinity Within the Social Ecological Model

2021 ◽  
Vol 33 (6) ◽  
pp. 511-533
Author(s):  
Kenneth C. Hergenrather ◽  
Diona Emmanuel ◽  
Robert J. Zeglin ◽  
David J. Ruda ◽  
Scott D. Rhodes
Keyword(s):  
Risk Behavior ◽  
Hiv Risk ◽  
Ecological Model ◽  
The United States ◽  
Social Ecological Model ◽  
Hiv Risk Behavior ◽  
Bisexual Men ◽  
Social Ecological ◽  
The Social ◽  
Sex With Men

In the United States, gay, bisexual men, and men who have sex with men (MSM) represent 86% of new HIV infections among males. Approximately 1 in 7 men with HIV are unaware of their HIV status (CDC, 2017, 2019a, 2020a). To explore influences on MSM HIV risk behavior, the authors performed a systematic review of quantitative studies conducted in the U.S. assessing what is purported as masculinity. From 30 identified studies, significant findings were framed within the Social Ecological Model (SEM) levels (e.g., Individual, Relationship, Community). SEM level themes were applied to create the Masculinity 10, a preliminary 10-item assessment to explore the influence of masculinity on MSM HIV risk behavior. To increase MSM engagement in HIV prevention and treatment, the influences of masculinity (e.g., attitude toward sexual minorities, appearance, emotion, temperament, substance use, sexual activity, social support, intimate relationships, health care) on HIV risk behavior should be further explored.

Cognitive Bias in Intelligence Analysis

2020 ◽  
Author(s):  
Martha Whitesmith
Keyword(s):  
Social Sciences ◽  
Cognitive Bias ◽  
Cognitive Biases ◽  
Risk Mitigation ◽  
Meta Analysis ◽  
Intelligence Analysis ◽  
Experimental Setting ◽  
Alternative Approach ◽  
The Social ◽  
Underlying Causes

Belief, Bias and Intelligence outlines an approach for reducing the risk of cognitive biases impacting intelligence analysis that draws from experimental research in the social sciences. It critiques the reliance of Western intelligence agencies on the use of a method for intelligence analysis developed by the CIA in the 1990’s, the Analysis of Competing Hypotheses (ACH). The book shows that the theoretical basis of the ACH method is significantly flawed, and that there is no empirical basis for the use of ACH in mitigating cognitive biases. It puts ACH to the test in an experimental setting against two key cognitive biases with unique empirical research facilitated by UK’s Professional Heads of Intelligence Analysis unit at the Cabinet Office, includes meta-analysis into which analytical factors increase and reduce the risk of cognitive bias and recommends an alternative approach to risk mitigation for intelligence communities. Finally, it proposes alternative models for explaining the underlying causes of cognitive biases, challenging current leading theories in the social sciences.

Global Oral Health Inequalities

2011 ◽  
Vol 23 (2) ◽  
pp. 259-267 ◽  
Author(s):  
A. Sheiham ◽  
D. Alexander ◽  
L. Cohen ◽  
V. Marinho ◽  
S. Moysés ◽  
...  
Keyword(s):  
Oral Health ◽  
Health Inequalities ◽  
Social Determinants ◽  
Health Research ◽  
Oral Diseases ◽  
Major Health ◽  
Inequalities In Health ◽  
Limited Success ◽  
The Social ◽  
Underlying Causes

This paper reviews the shortcomings of present approaches to reduce oral diseases and inequalities, details the importance of social determinants, and links that to research needs and policies on implementation of strategies to reduce oral health inequalities. Inequalities in health are not narrowing. Attention is therefore being directed at determinants of major health conditions and the extent to which those common determinants vary within, between, and among groups, because if inequalities in health vary across groups, then so must underlying causes. Tackling inequalities in health requires strategies tailored to determinants and needs of each group along the social gradient. Approaches focusing mainly on downstream lifestyle and behavioral factors have limited success in reducing health inequalities. They fail to address social determinants, for changing people’s behaviors requires changing their environment. There is a dearth of oral health research on social determinants that cause health-compromising behaviors and on risk factors common to some chronic diseases. The gap between what is known and implemented by other health disciplines and the dental fraternity needs addressing. To re-orient oral health research, practice, and policy toward a ‘social determinants’ model, a closer collaboration between and integration of dental and general health research is needed. Here, we suggest a research agenda that should lead to reductions in global inequalities in oral health.

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