Pattern Recognition in Geo-Social Clustering of Catastrophic Events: From Big Data to Universal Cyber Diagnostic Tools for E-Medicine and Ecocide Analyses and Modeling

Dear Colleagues,

The SARS-CoV-2 pandemic has left humanity with experiences that should be learned from to prevent future catastrophic events.

The spatial clustering in vaccination hesitancy and the unknown role of social influence and selection are gaining ground over notable scientific and medical advances and widespread control measures in maintaining herd immunity.

Despite the known examples of political/socioeconomic appointments (Delphi consensus to end COVID-19 and Shet et al.'s research that outlined pandemic behavior in 170 countries and territories), the most pressing Anthropocene problem is rooted in the complex nature of society's interaction with the environment, resulting in ecocide phenomena that are frequently underestimated. Notwithstanding, at the G20 Summit, the Prime Minister of India, Narendra Modi, presented the unprecedented vision of "One Earth, One Health," which addressed COVID-19, climate change, and economic recovery (Anuja Jha, 2021). This multidimensional view requires notable scientific and medical advances (Nature Communications, 3 November 2022) and more equitable precision in epidemiological data analyses. This involves shifting from traditional to fully or partially virtual approaches, using remote sensing, and digitally transforming multidisciplinary information, including the development and validation of self-monitoring and auto-updating prognostic models (Nature Communications, Levy, et al., 2022) for complexity analysis of COVID-19 spreading patterns.

MDPI Journals have widely covered the response of minority populations to COVID-19, supporting the general approach to urgently integrate the health sector into the Post-2020 Global Biodiversity Framework (King et al., 2022). Examples include studies on nurses employed in critical areas (Karanicola, 2022), substance use inpatients (Kosonen, 2022), and meteorological factors' effects on infection severeness (Ngaruye et al., 2022). A study in Nature (Condo et al., 2022) recognized the latter approach for Rwanda's success in tackling COVID-19. The mental health of recovering people and the long-term developments of COVID identification are now hot spots for systematic review, analyses, and prognostics. Most of us represent the minority population affected by the virus: around 11 percent of the world population (620 million cases from 7,700 billion people) was reported in November 2022 by Lazarus et al.

We invite all colleagues believing in the unplanned impact of Cybernetics, Quantum Physics, and Mathematics in E-Medicine to contribute to this Special Issue in vista to end or at least control the pandemic and the other upcoming public health and environmental threats.

References

Lazarus, J.V. et al. (35 co-authors). (2022). A multinational Delphi consensus to end the COVID-19 public health threat. Nature Communications, 611, 332-345. doi:10.1038/s41586-022-05398-2.

Shet, A., Carr, K., Danovara-Holliday, M.C., Prosperi, Ch., Wunderlich, J., Wanodi, Ch., Reynolds, H.W., Mirza., I., Gacic-Dobo, M., O'Brien, K.L. & Lindstrand, A. (2022). Impact of the SARS-CoV-2 pandemic on routine immunization services: evidence of disruption and recovery from 170 countries and territories. Lancet Glob Health 10(2), E-186-E-194. doi: 10.1016/S2214-109X(21)00512-X

Anuja, Jha. (2021). One Earth, One Health: What PM Narendra Modi said at G20 Summit. Edited by Anuja, Jha., India Today, One Earth, One Health: What PM Narendra Modi said at G20 Summit - India Today.

Levy, T.J., Coppa, K., Cang, J., Barnaby, D., Paradis, M.D., Cohen, S.L., Makhnevich, van Klaveren, D., Kent, D.M., Davidson, K.W., Hirsch, J.S. & Zanos, T.P. (2022). Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients. Nature Communications, 13, 6812. doi:10.1038/s41467-022-34646-2.

King, S., Lemieux, J., & Lem. M. (2022). An urgent call to Integrate the health sector into the post-2020 global biodiversity framework. Int. J. Environ. Res. Public Health, 19, x. https://doi.org/10.3390/xxxxx:1-17.

Karanicola, M., Mpouzika, M.D.A., Papathanassoglou, E.E.D., Kaikoushi, K., Hatziioannou, A., Leontiou, I., Livadiotis, Ch., Christophorou, N., & Chatzittofis A. (2022). Work-related traumatic stress response in nurses employed in COVID-19 setting. Int. J. Environ. Res. Public Health, 19, 11049:1-15.

Kosonen, J., Ekqvist, E. & Kuusisto, K. (2022). Reducing problematic substance use under exceptional circumstances- effects of the COVID-19 restrictions on inpatient substance use disorder treatment in Finland. Int. J. Environ. Res. Public Health, 19, 11436.

Ngaruye, I., & (+22 co-authors), (2022). The effect of meteorological factors on extreme COVID-19 infection in Rwanda: the generalized additive extreme value modeling approach. Submitted to Int. J. Environ. Res. Public Health.

Condo, J., Uwizihiwe, J.P., Nsanzimana, S. (2022). Nature, Rwanda's success in tackling COVID-19. Nature Correspondence 581, 384.

Dr. Klaudia Oleschko
Prof. Dr. Andrei Khrennikov
Guest Editors

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