Dynamic thinking and complexity: considerations for health promotion

Slapšinskaitė, Agnė; Vaitkevičiūtė, Justina; Grincaitė, Monika; Galkus, Lukas; Raskilienė, Asta; Luukkonen, Laura; Vainoras, Alfonsas

doi:10.21595/chs.2020.21514

Cited by 2 publications

(3 citation statements)

References 33 publications

(36 reference statements)

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“…In the same research, it was found that white blood cells (WBC), upon long period of exposure to PMs, is greatly reduced and at the same time, red blood cells (RBC) and thrombocytes increased. These turns of events could lead to complications such as immunocompromised due to decrement of WBC and cardiopulmonary diseases ( 29 ) such as stroke and myocardial infarction due to increment of RBC ( 30 , 31 ). In addition, it could also contribute to longer Disability-Adjusted Life Years (DALY) in pregnant women and infants.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, exposure to PM particles induce cardiovascular diseases such as ischemic heart disease, heart failure, as well as cerebrovascular diseases ( 61 ). Studies proved that the risk of myocardial infraction, fatal and non-fatal ischemic heart diseases and heart failure incident are associated with the ambient exposure no matter in acute or chronic exposure ( 31 , 62 – 67 ). According to WHO ( 1 ), 3.7 millions of death are caused by the outdoor ambient pollution, 80% of deaths are resulted from heart diseases and stroke.…”

Section: Resultsmentioning

confidence: 99%

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Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

Neo

Hasikin‬

Mokhtar

et al. 2022

Front. Public Health

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Environmental issues such as environmental pollutions and climate change are the impacts of globalization and become debatable issues among academics and industry key players. One of the environmental issues which is air pollution has been catching attention among industrialists, researchers, and communities around the world. However, it has always neglected until the impacts on human health become worse, and at times, irreversible. Human exposure to air pollutant such as particulate matters, sulfur dioxide, ozone and carbon monoxide contributed to adverse health hazards which result in respiratory diseases, cardiorespiratory diseases, cancers, and worst, can lead to death. This has led to a spike increase of hospitalization and emergency department visits especially at areas with worse pollution cases that seriously impacting human life and health. To address this alarming issue, a predictive model of air pollution is crucial in assessing the impacts of health due to air pollution. It is also critical in predicting the air quality index when assessing the risk contributed by air pollutant exposure. Hence, this systemic review explores the existing studies on anticipating air quality impact to human health using the advancement of Artificial Intelligence (AI). From the extensive review, we highlighted research gaps in this field that are worth to inquire. Our study proposes to develop an AI-based integrated environmental and health impact assessment system using federated learning. This is specifically aims to identify the association of health impact and pollution based on socio-economic activities and predict the Air Quality Index (AQI) for impact assessment. The output of the system will be utilized for hospitals and healthcare services management and planning. The proposed solution is expected to accommodate the needs of the critical and prioritization of sensitive group of publics during pollution seasons. Our finding will bring positive impacts to the society in terms of improved healthcare services quality, environmental and health sustainability. The findings are beneficial to local authorities either in healthcare or environmental monitoring institutions especially in the developing countries.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

Neo

Hasikin‬

Mokhtar

et al. 2022

Front. Public Health

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“…Three main factors (leadership, motivation, and communication) are considered as essential components for effective and sustainable partnerships. Those factors are approached in Healthy Boost "Urban Labs for Better Health for All in the Baltic Sea Region", funded by the EU Interreg Baltic Sea Region program that aims to develop the Model for cross-sectoral cooperation [14]. The evidence-based model developed in the Healthy Boost project will guide partners towards systematic cross-sectoral cooperation processes that was additionally challenged of COVID-19 pandemic as it was tested in the cities of the Baltic Sea Region during 2020-21.…”

Section: How Do We Achieve the Most Effective And Sustainable Partnerships?mentioning

confidence: 99%

Augmenting awareness on sustainability of cross-sectoral cooperation

Slapšinskaitė¹,

Matinheikki-Kokko²,

Galkus³

et al. 2021

J., complex., health sci.

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It is recognized that health care is an evolving complex adaptive system that requires structural, economic, and organizational resources. Further, its sustainability raises many concerns as sustainability in cooperation of health-promotion is frequently demanded but seldom analysed. Bearing in mind how today's challenges of epidemic, climate changes affect health care systems it evidences the difficulty to plan and predict its positive, smooth evolutionary process. Moreover, the fluctuating, unstable economic status in countries also contributes and augment unpredictability of such system. These instabilities can lead to the disintegration or even collapse of a number of health promotion structures operating in each country. In order to minimize the impact of such events as pandemics, or smoothen cooperation process in general, it is expedient to better understand the possible dynamic stabilizing factors. The first necessity here could be an in-depth case study of cross-sectoral cooperation and self-analysis to organize stabilizing feedback chains to help increase the sustainability of health promotion or health systems in general. In all sense, sustainability research is multidisciplinary; i.e., it addresses the real-life problem such as improved cooperation in health promotion as a way of sustainable financing, which request the complex adaptive systems approach application. Multidisciplinary approach enables people from different disciplines work together, each drawing on their disciplinary knowledge, to create something better.

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Dynamic thinking and complexity: considerations for health promotion

Cited by 2 publications

References 33 publications

Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review

Augmenting awareness on sustainability of cross-sectoral cooperation

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