Back

Follow-up of a hospital cohort during the first 3,530 suspected cases of COVID-19 in Sao Jose do Rio Preto, Sao Paulo, Brazil

Pacca, C. C.; Zini, N.; Versiani, A.; Lobl, E.; Milhim, B.; Campos, G.; Moraes, M.; dos Santos, T.; Dourado, F.; Moraes, B.; Rocha, L.; dos Santos, A.; Ruiz, L.; da Silva, G.; Nicesio, R.; Queiroz, F.; Salomao, M. L.; da Silva, N.; Negri, A.; Nogueira, M.; Estofolete, C.

2021-02-04 molecular biology
10.1101/2021.02.04.429711 bioRxiv
Show abstract

IntroductionIn a global context, COVID-19 is the most significant health threat in the present days, evidenced by the fact that, in just over four months, SARS-CoV-2 has spread to 171 countries, reaching a Pandemic status. Most patients with COVID-19 have a mild course of the disease. However, approximately 20% develop severe illness with a high mortality rate which is associated with age, comorbidities, and immunosuppression. Epidemiological studies are used to reveal the extent of viral spread in homes, communities, and hospitals. Thus, preventive and control measures can be established by the authorities. ObjectiveIn this study, patients with suspect COVID-19 symptoms who search for hospital care at the city of Sao Jose do Rio Preto (Sao Paulo, Brazil) were monitored, in order to identify the first case of this new disease in the region. In the first two months (March and April), more than 3000 individuals looked for the public and private health system with suspected respiratory symptoms, but only 164 (8.4%) were COVID-19 confirmed. ResultsFrom those, males (56.1%) and patients of the age distribution of 16-59 (91.2%), with diarrhea (22.2%), runny nose (25%), altered taste (15.9%), and anosmia (11.6%) presented statistical significance, although none comorbidities were related with COVID-19 occurrence. The odds ratio analysis supports this finding. Days of onset of symptoms are positively associated with whit viral load, and the same happens with the occurrence of symptoms (dyspnea and low saturation).

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.