Covid-19: Un don de 400.000 doses de vaccin chinois incessamment en RDC

Dans l’intention de soutenir la République Démocratique du Congo (RDC) dans ses efforts de riposte à la Covid-19, le gouvernement chinois a fourni un don de 400.000 doses de vaccins Sinovac-CoronaVac et 403.200 pièces de seringues et pris en charge tous les frais du transport international.

L’arrivé de ce don de l’Empire du milieu, en RDC, est prévu pour ce mercredi 29 septembre 2021 à l’Aéroport international de N’djili.

1 réflexion sur “Covid-19: Un don de 400.000 doses de vaccin chinois incessamment en RDC”

  1. Moderate illness is defined as evidence of lower respiratory disease by clinical assessment or imaging and a saturation of oxygen of 94% or greater on room air at sea level. Severe illness is defined as respiratory frequency of greater than 30 breaths per minute, a pulse-ox of less than 94% on room air at level, a ratio of arterial partial pressure of oxygen to fraction of inspired oxygen of less than 300, or long infiltrates of greater than 50%. And critical illness is defined as respiratory failure, septic shock and, or multiple organ dysfunction. Although I said earlier that pregnant people are not at any increased risk for catching SARS-CoV-2, researchers now see that pregnancy has been shown to increase the risk of severe or critical COVID-19. So if you do get COVID-19 pregnancy increases the risk of it being severe or critical. And I just gave you the definitions of severe or critical. Given this growing evidence, the CDC now includes pregnant people and its, quote, increased risk, and quote, category for COVID-19 illness. According to the latest US surveillance data from the CDC with more than 400,000 symptomatic females of reproductive age, pregnant people with symptomatic COVID-19, appear to be at an increased risk for ICU admission, invasive ventilation, ECMO, a life support machine and death compared to non-pregnant females of the same age with symptomatic COVID-19. Unfortunately the evidence was limited by large amounts of missing data on pregnancy status, race and ethnicity in info on symptoms and underlying medical conditions. Also, these data were collected through passive surveillance, so they may have been subject to reporting bias, possibly favoring the reporting of severe cases.

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