Biomedica
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Introduction: The COVID pandemic is a challenge for public health surveillance and an opportunity to assess its strengths and weaknesses to improve the response. Objective: To evaluate the performance of the Colombian public health surveillance system during the first 50 days of the COVID-19 pandemic in the country. Materials and methods: We analyzed the data published between March 6 and April 24, 2020, by the Instituto Nacional de Salud and the World Health Organization (WHO). We evaluated: i) the quality of the data according to the fulfillment of Benford’s law, and ii) the timeliness of the information measured as the difference in dates between the data generated by the Instituto Nacional de Salud and WHO’s situational reports. We assessed the fulfillment of Benford’s law using the p values of the log-likelihood ratio, the chi square or Moreno’s exact tests. Results: Until April 24 there were 4,881 cases of COVID-19 in Colombia. ⋯ The difference between Instituto Nacional de Salud and WHO reports largely depends on the different reporting times. Conclusion: In general, the Colombian public health surveillance system fulfilled Benford’s law suggesting that there was quality in the data. Future studies comparing the performance of the departments and districts will improve the diagnosis of the Colombian surveillance system.
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Introduction: The 2019 coronavirus pandemic (COVID-19) has caused around 25 million cases worldwide. Asymptomatic patients have been described as potential sources of transmission. However, there are difficulties to detect them and to establish their role in the dynamics of virus transmission, which hinders the implementation of prevention strategies. Objective: To describe the behavior of asymptomatic SARS-CoV-2 virus infection in a cohort of workers at the El Dorado “Luis Carlos Galán Sarmiento” International Airport in Bogotá, Colombia. Materials and methods: A prospective cohort of 212 workers from the El Dorado airport was designed. ⋯ The proportion of positive contacts was 14.08%. The median threshold for cycle threshold was 33.53. Conclusion: We characterized the asymptomatic SARS-CoV-2 infection in a cohort of workers. The identification of asymptomatic infected persons continues to be a challenge for epidemiological surveillance systems.
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Coronaviruses cause respiratory and gastrointestinal disorders in animals and humans. The current SARS-CoV-2, the COVID-19 infectious agent, belongs to a subgroup called betacoronavirus including the SARS-CoV and MERS-CoV responsible for epidemics in 2002 and 2012, respectively. These viruses can also infect the nervous system due to their affinity for the human angiotensin-converting enzyme 2 (ACE2) expressed in neurons and glial cells. Infections with SARS-CoV, MERS-CoV, and now SARS-CoV-2 also produce neurological signs such as acute cerebrovascular disease, impaired consciousness, and muscle injury, as well as dizziness, hypogeusia, hyposmia, hypoxia, neuralgia, and hypoxic encephalopathy. For this reason, close attention should be paid to the neurological manifestations of COVID-19 patients.
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The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem on a scale unprecedented in the last 100 years, as has been the response focused on the rapid genomic characterization of SARS-CoV-2 in virtually all regions of the planet. This pandemic emerged during the era of genomic epidemiology, a science fueled by continued advances in next-generation sequencing. Since its recent appearance, genomic epidemiology included the precise identification of new lineages or species of pathogens and the reconstruction of their genetic variability in real time, evidenced in past outbreaks of influenza H1N1, MERS, and SARS. ⋯ Prior to the COVID-19 pandemic, the availability of genomic data on circulating pathogens in several Latin America and the Caribbean countries was scarce or nil. With the arrival of SARS-CoV-2, this scenario changed significantly, although the amount of available information remains scarce and, in countries such as Colombia, Brazil, Argentina, and Chile, the genomic information of SARS-CoV-2 was obtained mainly by research groups in genomic epidemiology rather than the product of a public health surveillance policy or program. This indicates the need to establish public health policies aimed at implementing genomic epidemiology as a tool to strengthen surveillance and early warning systems against threats to public health in the region.