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10.1016/j.wneu.2020.11.008

http://scihub22266oqcxt.onion/10.1016/j.wneu.2020.11.008
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suck abstract from ncbi


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pmid33186788      World+Neurosurg 2021 ; 147 (ä): e8-e15
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  • A Continental Survey on the Impact of COVID-19 on Neurosurgical Training in Africa #MMPMID33186788
  • Cheserem JB; Esene IN; Mahmud MR; Kalangu K; Sanoussi S; Musara A; El-Ghandour NMF; Fieggen G; Qureshi M
  • World Neurosurg 2021[Mar]; 147 (ä): e8-e15 PMID33186788show ga
  • BACKGROUND: Containment measures for COVID-19 have affected surgical training globally. We sought to assess how neurosurgical training has been affected across Africa in April 2020. METHODS: A cross-sectional survey was distributed to African Neurosurgical trainees seeking to review demographics and effects of COVID on training. RESULTS: A total of 123 neurosurgery trainees responded from 23 African countries and a further 6 were abroad. A total of 91.80% were men, and 96.70% were training in public institutions. Only 41% had received training in COVID-19 with 61.79% worried that they would contract COVID-19 while performing their clinical duties. There was a marked reduction in clinical activities including a median reduction of elective surgery (-80%), clinics (-83%), and emergency surgery (-38.50%). A total of 23.58% of residents did not receive a formal salary, with 50% on less than $1000 USD gross per month. CONCLUSIONS: This is the first continental survey of neurosurgery trainees in Africa. COVID-19 has significantly affected clinical and learning opportunities. There are concerns of the long-term effects on their training activities for an uncertain period of time during this pandemic. Although there has been a global increase in e-learning, there is need to evaluate if this is accessible to all trainees.
  • |Adult[MESH]
  • |Africa/epidemiology[MESH]
  • |Ambulatory Care/*statistics & numerical data[MESH]
  • |COVID-19/*epidemiology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Education, Distance[MESH]
  • |Elective Surgical Procedures/*statistics & numerical data[MESH]
  • |Emergencies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Income/*statistics & numerical data[MESH]
  • |Internship and Residency/*statistics & numerical data[MESH]
  • |Male[MESH]
  • |Neurosurgery/*education[MESH]
  • |SARS-CoV-2[MESH]


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