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1. A scoping review of COVID-19 research adopting quantitative geographical methods in geography, urban studies, and planning: a text mining approach.

2. Resilience analysis of urban commercial area under the COVID-19 epidemic using night-time light remote sensing data.

3. Research on the global trends of COVID-19 associated acute kidney injury: a bibliometric analysis.

4. ‘<italic>Nyungu</italic>’: an indigenous healing practice for decolonising the global health measures of COVID-19 in Tanzania.

5. Baseline findings of a multicentric ambispective cohort study (2021–2022) among hospitalised mucormycosis patients in India.

6. Teaching Students to Read COVID-19 Journal Articles in Statistics Courses.

7. Local search enhanced optimal Inception-ResNet-v2 for classification of long-term lung diseases in post-COVID-19 patients.

8. Analysis of Society's Perception of Fair Price and its Influence on Firms' Actions in Times of Pandemic.

9. Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries.

10. Distance education for pupils with intellectual disabilities – teachers' experiences.

11. Navigating teacher-student relationships during and beyond the pandemic.

12. Challenges and Successes of Emergency Online Teaching in Statistics Courses.

13. Care in the Time of COVID-19: Accounting for Academic Care Labor.

14. Local management of the COVID-19 pandemic in Norway: a longitudinal interview study of municipality chief medical officers.

15. Health care services for older people in COVID-19 pandemic times – A Nordic comparison.

16. Moral injury and mental health among health-care workers during the COVID-19 pandemic: meta-analysis.

17. Exploring healthcare workers’ experiences of a simple intervention to reduce their intrusive memories of psychological trauma: an interpretative phenomenological analysis.

18. Determinants of burnout in Canadian health care workers during the COVID-19 pandemic.

19. A longitudinal study of risk and protective factors for symptoms of adjustment disorder during the COVID-19 pandemic.

20. Relationships between geo-spatial features and COVID-19 hospitalisations revealed by machine learning models and SHAP values.

21. Horizontal and vertical inequity of multi-modal healthcare accessibility in the aging Japan in the post-COVID era: a GIS-based approach.

22. COVID-19 and renal allograft rejection: insight from controlled and noncontrolled studies.

23. Letter to the editor regarding ‘Correlation between neutrophil-tolymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models’.