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1.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315929

ABSTRACT

Background: The Gamma variant has been considered the predominant SARS-CoV-2 lineage in Brazil during the first half of 2021. We aimed to characterise the clinical presentation of COVID-19 caused by the Gamma variant in comparison with strains that are not variants of concern (non-VoC).Method: We performed a prospective cohort study including symptomatic COVID-19 cases among healthcare workers from January 22 to May 15, 2021. Positive samples for SARS-CoV-2 RT-PCR underwent whole genome sequencing. COVID-19 symptoms, caused by the Gamma variant or non-VoC, and risk factors for Gamma variant infection were evaluated using multiple logistic regression analyses.Findings: We included 423 COVID-19 cases, of which 415 (98%) with mild disease. One hundred and seventy-five (41%) patients had been fully immunised, of which 173/175 (99%) had received CoronaVac. There were 313 (74%) Gamma variant cases and 110 (26%) non-VoC cases. Hyposmia/anosmia and dysgeusia were present in 129 (30%) and 108 (26%) of cases, respectively. Lower frequencies of hyposmia/anosmia (OR=0.304, p <0.001) and dysgeusia (OR=0.385, p =0.011) were the only symptoms significantly associated with Gamma variant infection. COVID-19 immunisation, previous COVID-19 and age were not associated with Gamma variant infection.Interpretation: The increase in Gamma variant cases should raise the awareness that COVID-19 may present more often with cold-like symptoms because of a decreased frequency of hyposmia/anosmia and dysgeusia.Funding: Supported by the Itau Unibanco “Todos pela saúde” program”.Declaration of Interest: None to declare. Ethical Approval: This study was approved by the Hospital’s Ethics Committee (CAAE: 42708721.0.0000.0068).

2.
JMIR Form Res ; 6(2): e29012, 2022 Feb 01.
Article in English | MEDLINE | ID: covidwho-1662500

ABSTRACT

BACKGROUND: To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic. OBJECTIVE: The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses' time required for screening and the waiting time for patients to receive medical care. METHODS: This was a single-center, comparative, prospective study designed according to the Public Health England guide "Evaluating Digital Products for Health." A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution. RESULTS: The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours. CONCLUSIONS: The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.

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