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  • LATEST MANUSCRIPTS IN Global Transitions
  • Jue Liu, Xiaohui Zhai, Wenxin Yan, Qiao Liu, Min Liu, Wannian Liang. Long-term impact of the COVID-19 pandemic on health services utilization in China: A nationwide longitudinal study. Global transitions. 2023, 5: 21-28
    Cited : 5
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  • Anastasia Zabaniotou. The COVID-19 lockdowns brought to light the challenges that women face in Mediterranean universities. Global transitions. 2021, 3: 119-125
    Cited : 7
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  • A Ise, S Villalba, L Clementi, S Carrizo. Extra long Argentinian lockdown: Revising the energy regime. Global transitions. 2021, 3: 43-54
    Cited : 4
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  • Dimitra Tarasi, Tryfon Daras, Stavroula Tournaki, Theocharis Tsoutsos. Transportation in the Mediterranean during the COVID-19 pandemic era. Global transitions. 2021, 3: 55-71
    Cited : 43
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  • Alistair Woodward, Rangan Banerjee, Alexander Brem. COVID-19 pandemic as a global phenomenon: Perspectives for research in health, energy and technology transitions. Global transitions. 2021, 3: 87-88
    Cited : 6
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  • Amin Al-Habaibeh, Matthew Watkins, Kafel Waried, Maryam Bathaei Javareshk. Challenges and opportunities of remotely working from home during Covid-19 pandemic. Global transitions. 2021, 3: 99-108
    Cited : 53
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  • Anastasia Zabaniotou. A systemic approach to resilience and ecological sustainability during the COVID-19 pandemic: Human, societal, and ecological health as a system-wide emergent property in the Anthropocene. Global transitions. 2020, 2: 116-126
    Cited : 50
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  • Norbert Edomah, Gogo Ndulue. Energy transition in a lockdown: An analysis of the impact of COVID-19 on changes in electricity demand in Lagos Nigeria. Global transitions. 2020, 2: 127-137
    Cited : 93
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  • S Lakshmi Priyadarsini, M Suresh, Donald Huisingh. What can we learn from previous pandemics to reduce the frequency of emerging infectious diseases like COVID-19? Global transitions. 2020, 2: 202-220
    Cited : 56
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  • Prabhdeep Singh, Rajbir Kaur. An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19. Global transitions. 2020, 2: 283-292
    Cited : 37
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  • Cory Clark, AndrĂ©s Davila, Maxime Regis, Sascha Kraus. Predictors of COVID-19 voluntary compliance behaviors: An international investigation. Global transitions. 2020, 2: 76-82
    Cited : 441
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  • Gang Luo. A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modeling. Global transitions. 2019, 1: 61-82
    Cited : 20
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