Covid-19 Sentry

Contents

From Preprints

  1. Prevention and surveillance remain the cornerstone of interventions to halt the further spread of COVID-19. Google Health Trends (GHT), a free Internet tool, may be valuable to help anticipate outbreaks, identify disease hotspots, or understand the patterns of disease surveillance. We collected COVID-19 case and death incidence for 54 African countries and obtained averages for four, five-month study periods in 2020-2021. Average case and death incidences were calculated during these four time periods to measure disease severity. We used GHT to characterize COVID-19 incidence across Africa, collecting numbers of searches from GHT related to COVID-19 using four terms: coronavirus, coronavirus symptoms, COVID19, and pandemic. The terms were related to weekly COVID-19 case incidences for the entire study period via multiple linear regression analysis and weighted linear regression analysis. We also assembled 72 predictors assessing Internet accessibility, demographics, economics, health, and others, for each country, to summarize potential mechanisms linking GHT searches and COVID-19 incidence. COVID-19 burden in Africa increased steadily during the study period as in the rest of the world. Important increases for COVID-19 death incidence were observed for Seychelles and Tunisia over the study period. Our study demonstrated a weak correlation between GHT and COVID-19 incidence for most African countries. Several predictors were useful in explaining the pattern of GHT statistics and their relationship to COVID-19 including: log of average weekly cases, log of cumulative total deaths, and log of fixed total number of broadband subscriptions in a country. Apparently, GHT may best be used for surveillance of diseases that are diagnosed more consistently. GHT-based surveillance for an ongoing epidemic might be useful in specific situations, such as when countries have significant levels of infection with low variability. Overall, GHT-based surveillance showed little applicability in the studied countries. Future studies might assess the algorithm in different epidemic contexts.

    🖺 Full Text HTML: Using Google Health Trends to investigate COVID19 incidence in Africa
  1. of children with PIMS according to Centers of Disease Control and Prevention case definition criteria, hospitalized in a single tertiary care pediatric center in Mexico City. Demographic characteristics, epidemiological data, medical history, laboratory tests, cardiology evaluations, treatment, and clinical outcomes were analyzed. Results: Seventy-five cases fulfilled case-definition criteria for PIMS (median age 10.9 years, IQR: 5.6-15.6). Fifteen (20%) had a severe underlying disease. Forty-eight cases (64%) were admitted to the intensive care unit, 33 (44%) patients required invasive mechanical ventilation, and 39 (52%) received vasopressor support. Two distinct groups of patients were identified: cluster 1 (n=60) who had rash or gastrointestinal symptoms and cluster 2 (n=15) with predominantly respiratory manifestations. Two cases (2.7%) died, both with severe underlying conditions. Five cases (6.7%) developed coronary aneurysms, all of them from cluster 1. Conclusion: clinical manifestations and outcomes are in general comparable what has been previously reported in international series. In our series, there was a high proportion of patients with severe respiratory involvement and positive RT-PCR SARS-CoV-2 and a low frequency of coronary aneurysms which suggests a possible higher proportion of children with severe acute COVID-19 in our included cases.

    🖺 Full Text HTML: Characteristics and outcomes of cases of children and adolescents with pediatric inflammatory multisystem syndrome in a tertiary care centre in Mexico City.

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