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1.
Emerg Infect Dis ; 28(13): S93-S104, 2022 12.
Article in English | MEDLINE | ID: covidwho-2215164

ABSTRACT

We used publicly available data to describe epidemiology, genomic surveillance, and public health and social measures from the first 3 COVID-19 pandemic waves in southern Africa during April 6, 2020-September 19, 2021. South Africa detected regional waves on average 7.2 weeks before other countries. Average testing volume 244 tests/million/day) increased across waves and was highest in upper-middle-income countries. Across the 3 waves, average reported regional incidence increased (17.4, 51.9, 123.3 cases/1 million population/day), as did positivity of diagnostic tests (8.8%, 12.2%, 14.5%); mortality (0.3, 1.5, 2.7 deaths/1 million populaiton/day); and case-fatality ratios (1.9%, 2.1%, 2.5%). Beta variant (B.1.351) drove the second wave and Delta (B.1.617.2) the third. Stringent implementation of safety measures declined across waves. As of September 19, 2021, completed vaccination coverage remained low (8.1% of total population). Our findings highlight opportunities for strengthening surveillance, health systems, and access to realistically available therapeutics, and scaling up risk-based vaccination.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19/epidemiology , Pandemics , Incidence
2.
Braz J Infect Dis ; 25(6): 101653, 2021.
Article in English | MEDLINE | ID: covidwho-1525705

ABSTRACT

The pandemic of COVID-19 brought to the world an unprecedented challenge. This single center observational study aimed to evaluate the impact of staff preparedness by comparing the outcomes between two intensive care units (ICUs) from a hospital that had to expand ICU beds to deal with an incremented volume of critical patients. Patients consecutively admitted to these ICUs with suspected COVID-19, from March 1st until April 30th, 2020, were included. Both ICUs attended a similar population and had the same facilities, what differed was the staff: one previously well-established (ICU-1) and another recently assembled (ICU-2). 114 patients with severe respiratory syndrome were included. In-hospital mortality was 40%. Compared with patients in the well-established ICU-1, patients in the recently assembled ICU-2 were older (54 versus 61.5, p=0.045), received more antibiotics (93% versus 98%, p=0.001) and chloroquine/hydroxychloroquine 6% versus 30%, p=0.001), had a higher proportion of invasive mechanical ventilation (44% versus 52%, p=0.008) and had greater in-hospital mortality (30% versus 50%, p=0.017). The proportion of patients considered at high risk for death according to PSI was similar between the two ICU populations. Age ≥ 60 years (adjusted OR 2.33; 95% CI 1.02-5.31), need of invasive mechanical ventilation (adjusted OR 2.79; 95% CI 1.22-6.37), and ICU type (recently assembled) (adjusted OR 2.38; 95% CI 1.04-5.44) were independently associated with in-hospital mortality . This finding highlights the importance of developing support strategies to improve preparedness of staff recently assembled to deal with emergencies.


Subject(s)
COVID-19 , Pandemics , Cohort Studies , Hospital Mortality , Humans , Intensive Care Units , Middle Aged , Respiration, Artificial , SARS-CoV-2
3.
Gene Rep ; 22: 101012, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1002539

ABSTRACT

Recently an outbreak that emerged in Wuhan, China in December 2019, spread to the whole world in a short time and killed >1,410,000 people. It was determined that a new type of beta coronavirus called severe acute respiratory disease coronavirus type 2 (SARS-CoV-2) was causative agent of this outbreak and the disease caused by the virus was named as coronavirus disease 19 (COVID19). Despite the information obtained from the viral genome structure, many aspects of the virus-host interactions during infection is still unknown. In this study we aimed to identify SARS-CoV-2 encoded microRNAs and their cellular targets. We applied a computational method to predict miRNAs encoded by SARS-CoV-2 along with their putative targets in humans. Targets of predicted miRNAs were clustered into groups based on their biological processes, molecular function, and cellular compartments using GO and PANTHER. By using KEGG pathway enrichment analysis top pathways were identified. Finally, we have constructed an integrative pathway network analysis with target genes. We identified 40 SARS-CoV-2 miRNAs and their regulated targets. Our analysis showed that targeted genes including NFKB1, NFKBIE, JAK1-2, STAT3-4, STAT5B, STAT6, SOCS1-6, IL2, IL8, IL10, IL17, TGFBR1-2, SMAD2-4, HDAC1-6 and JARID1A-C, JARID2 play important roles in NFKB, JAK/STAT and TGFB signaling pathways as well as cells' epigenetic regulation pathways. Our results may help to understand virus-host interaction and the role of viral miRNAs during SARS-CoV-2 infection. As there is no current drug and effective treatment available for COVID19, it may also help to develop new treatment strategies.

4.
New Microbes New Infect ; 38: 100820, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-939177

ABSTRACT

Previously limited to symptomatic patients, our hospital introduced a universal admission screening strategy for coronavirus disease 2019 on 25 April 2020. All patients were tested by RT-PCR. We observed decreased viral loads linked to increased screening of asymptomatic patients highlighting the fact that viral load values could guide infection control decisions.

5.
J Clin Virol ; 127: 104357, 2020 06.
Article in English | MEDLINE | ID: covidwho-46254

ABSTRACT

Coronavirus disease 2019 is a pandemic influencing the first half of the year 2020. The virus has rapidly spread to many countries. Studies are rapidly published to share information regarding epidemiology, clinical and diagnostic patterns, and prognosis. The following review condenses the surge of information into an organized format.


Subject(s)
Betacoronavirus/isolation & purification , Coronavirus Infections/epidemiology , Coronavirus Infections/pathology , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/pathology , Age Distribution , COVID-19 , Comorbidity , Coronavirus Infections/complications , Disease Transmission, Infectious , Female , Humans , Male , Pneumonia, Viral/complications , SARS-CoV-2 , Survival Analysis
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