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1.
J Med Virol ; 95(1): e28439, 2023 01.
Article in English | MEDLINE | ID: covidwho-2173213

ABSTRACT

OBJECTIVE: To evaluate the behavior of the viruses responsible for acute respiratory infections before (2016-2019) and after (2020-2021) the start of the circulation of the SARS-CoV-2 virus in pediatric patients treated at a reference center from Barranquilla, Colombia. MATERIALS AND METHODS: A descriptive observational study was carried out, and data were obtained by reviewing the influenza-like illness and severe acute respiratory infection database in the pediatric population of the sentinel surveillance reference center in the district of Barranquilla during the years 2016-2021, applying inclusion and exclusion criteria. RESULTS: During 2016-2019, the average age of individuals was 1.3 (±1.7) years, during 2021, it was 2.3 (±3.5) years. The distribution by sex was similar, predominantly male. August and February were the months with the highest record of symptoms for 2016-2019 and 2021, respectively, the most frequent being cough, fever, shortness of breath, and diarrhea. By 2021 there was a higher use of antibiotics and antivirals reported than in 2016-2019. Most patients tested negative for viral detection. When comparing the percentage of viruses detected by age group and years of detection, positivity was lower in 2021 by every age group, and respiratory syncytial virus (RSV) was the most frequently detected. CONCLUSIONS: There was less virus positivity in viral detection tests in the pediatric population in 2021. RSV persists as the main etiology affecting this population, especially infants. The use of antibiotic therapy in viral infections continues to be a problematic practice in their management. Sentinel surveillance can be strengthened throughout the country.


Subject(s)
COVID-19 , Influenza, Human , Respiratory Syncytial Virus Infections , Respiratory Syncytial Virus, Human , Respiratory Tract Infections , Virus Diseases , Viruses , Infant , Child , Humans , Male , Child, Preschool , Female , SARS-CoV-2 , Colombia/epidemiology , COVID-19/epidemiology , Virus Diseases/epidemiology , Respiratory Syncytial Virus Infections/epidemiology
2.
Trop Med Int Health ; 27(2): 158-164, 2022 02.
Article in English | MEDLINE | ID: covidwho-1556224

ABSTRACT

OBJECTIVE: To describe the characteristics of COVID-19-associated deaths in Barranquilla, Colombia, a city with a high mortality rate, and their changes between pandemic waves. METHODS: The local Health Department obtained information on all laboratory-confirmed COVID-19 deaths reported from March 2020 to May 2021. Data were collected using national surveillance reports and death certificates. RESULTS: Four thousand nine hundred and sixty-three COVID-19-associated deaths were documented for a mortality rate of 389.4 deaths per 100,000 population. Sixty-two percent of all deaths occurred in people aged ≥65 years and 58% in males. Only 7 COVID-19-associated deaths in children were reported. Comorbidities were found in 47.9% of cases. The number of deaths among people aged 50-64 years increased significantly during the pandemic waves (from 25% to 29%). Conversely, the frequency of male sex (from 64.6% to 53.9%) and deaths with comorbidities (from 60.9% to 39.6%) decreased significantly between the waves of pandemic. Early mortality, defined as death within 48 h after hospital admission, was higher during the first pandemic wave than in the others (29.5%, 9.7% and 10.5%), and time from hospital admission to death increased during waves (from 9 to 14 days). CONCLUSIONS: The COVID-19-associated mortality rate was high and mainly affects older people, with comorbidities and male sex. Early mortality was higher during the first wave. Women and healthy people without comorbidities died more frequently after the first pandemic wave.


Subject(s)
COVID-19/mortality , SARS-CoV-2 , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , COVID-19/complications , Child , Child, Preschool , Cities/epidemiology , Colombia/epidemiology , Comorbidity , Demography , Female , Humans , Infant , Male , Middle Aged , Sex Distribution , Urban Population , Young Adult
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