Unknown

Dataset Information

0

Impact of Early Pandemic SARS-CoV-2 Lineages Replacement with the Variant of Concern P.1 (Gamma) in Western Bahia, Brazil.


ABSTRACT:

Background

The correct understanding of the epidemiological dynamics of COVID-19, caused by the SARS-CoV-2, is essential for formulating public policies of disease containment.

Methods

In this study, we constructed a picture of the epidemiological dynamics of COVID-19 in a Brazilian population of almost 17000 patients in 15 months. We specifically studied the fluctuations of COVID-19 cases and deaths due to COVID-19 over time according to host gender, age, viral load, and genetic variants.

Results

As the main results, we observed that the numbers of COVID-19 cases and deaths due to COVID-19 fluctuated over time and that men were the most affected by deaths, as well as those of 60 or more years old. We also observed that individuals between 30- and 44-years old were the most affected by COVID-19 cases. In addition, the viral loads in the patients' nasopharynx were higher in the early symptomatic period. We found that early pandemic SARS-CoV-2 lineages were replaced by the variant of concern (VOC) P.1 (Gamma) in the second half of the study period, which led to a significant increase in the number of deaths.

Conclusions

The results presented in this study are helpful for future formulations of efficient public policies of COVID-19 containment.

SUBMITTER: Pinheiro JR 

PROVIDER: S-EPMC9611628 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Background</h4>The correct understanding of the epidemiological dynamics of COVID-19, caused by the SARS-CoV-2, is essential for formulating public policies of disease containment.<h4>Methods</h4>In this study, we constructed a picture of the epidemiological dynamics of COVID-19 in a Brazilian population of almost 17000 patients in 15 months. We specifically studied the fluctuations of COVID-19 cases and deaths due to COVID-19 over time according to host gender, age, viral load, and genetic  ...[more]

Similar Datasets

| S-EPMC8849062 | biostudies-literature
| S-EPMC8885995 | biostudies-literature
| S-EPMC9870256 | biostudies-literature
| S-EPMC8971541 | biostudies-literature
| S-EPMC10160723 | biostudies-literature
| S-EPMC9393469 | biostudies-literature
| S-EPMC8555373 | biostudies-literature
| S-EPMC8596652 | biostudies-literature
| S-EPMC8714215 | biostudies-literature
| S-EPMC9143796 | biostudies-literature