This paper presents the results obtained from the study of the sustainable state between nature and human society on a global scale, focusing on the most critical interactions between the natural and anthropogenic processes. Apart from the conventional global models, the basic tool employed herein is the newly proposed complex model entitled "nature-society system (NSS) model", through which a reliable modeling of the processes taking place in the global climate-nature-society system (CNSS) is achieved. This universal tool is mainly based on the information technology that allows the adaptive conformance of the parametric and functional space of this model. The structure of this model includes the global biogeochemical cycles, the hydrological cycle, the demographic processes and a simple climate model. In this model, the survivability indicator is used as a criterion for the survival of humanity, which defines a trend in the dynamics of the total biomass of the biosphere, taking into account the trends of the biocomplexity dynamics of the land and hydrosphere ecosystems. It should be stressed that there are no other complex global models comparable to those of the CNSS model developed here. The potential of this global model is demonstrated through specific examples in which the classification of the terrestrial ecosystem is accomplished by separating 30 soil-plant formations for geographic pixels 4° × 5°. In addition, humanity is considered to be represented by three groups of economic development status (high, transition, developing) and the World Ocean is parameterized by three latitude zones (low, middle, high). The modelling results obtained show the dynamics of the CNSS at the beginning of the 23rd century, according to which the world population can reach the level of 14 billion without the occurrence of major negative impacts.
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http://dx.doi.org/10.3390/ijerph14080885 | DOI Listing |
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFAppl Health Econ Health Policy
January 2025
Department of Health Economics, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland.
Aim: To systematically review the evidence on productivity losses due to health problems arising from the COVID-19 pandemic based on evidence from population-level studies.
Methods: Following PRISMA statement, we conducted a systematic review using Medline, Embase, Scopus, Web of Science, EconLit, WHO COVID-19 Research and EuropePMC databases and a grey literature search. We included population-level studies using secondary data and qualitatively assessed eligible studies.
Ann Med
December 2025
Department of Medicine, University of California, San Francisco and San Francisco General Hospital, San Francisco, CA, USA.
Introduction: Latinx individuals are disproportionately affected by alcohol use disorder (AUD). Understanding Latinx individuals' barriers and facilitators to reach AUD-related goals can help implement culturally and linguistically concordant interventions to improve alcohol-related outcomes.
Methods: We conducted semi-structured qualitative interviews with Latinx, Spanish-speaking men with AUD within 20 weeks of hospital discharge who were seen by an addiction consult team during hospitalization in an urban, safety-net hospital in San Francisco.
Zh Nevrol Psikhiatr Im S S Korsakova
January 2025
Vladimirskii Moscow Regional Research and Clinical Institute, Moscow, Russia.
Objective: To analyze the dynamics of clinical and epidemiological indicators of stroke and the features of providing specialized care to patients in the Moscow region in the period 2019-2023.
Material And Methods: Mortality rates, the average annual population, and the number of deaths in one-year age groups were analyzed based on the «Brief Nomenclature of Causes of Death» by ROSSTAT and the database of the Registry Office of the Moscow Region. Depersonalized data on deceased individuals aged 18 years and older were obtained from this database, including codes and names of diseases or conditions specified in Parts I and II of the medical death certificate, age, sex, and place of death for the period 2019-2023.
J Thorac Dis
December 2024
Cancer Registry of the Cantons of Zurich, Zug, Schaffhausen, and Schwyz, University Hospital Zurich, Zurich, Switzerland.
Background: Pleural mesothelioma is mainly caused by (occupational) asbestos exposure. Since 1990, the import and use of asbestos is prohibited in Switzerland. However, due to the long latency time between exposure and the development of disease, incidence in Switzerland was expected to further increase for years after the ban.
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