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10.1111/jocn.15472 http://scihub22266oqcxt.onion/10.1111/jocn.15472 32860280!ä!32860280 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Clin+Nurs 2020 ; 29 (21-22): 4343-4348 Nephropedia Template TP {{tp|p=32860280|t=2020. COVID-19 in a state of Brazilian Northeast: Prevalence and associated factors in people with flu-like syndrome |pdf=|usr=}}{{32860280}} gab.com Text COVID-19 in a state of Brazilian Northeast: Prevalence and associated factors in people with flu-like syndrome JO: J Clin Nurs http://www.kidney.de/pget.php?&tw=1&pmid=32860280 #FOAvip AIMS AND OBJECTIVES: To estimate the prevalence and associated factors of COVID-19 in people with flu-like syndrome in Ceara, Brazil. BACKGROUND: COVID-19 is an infectious disease that has led to a worldwide public health emergency. More than 30,000 cases were confirmed in Brazil, especially in the States of Sao Paulo, Rio de Janeiro and Ceara. The capital of the Ceara State is the one with the highest incidence of COVID-19 in Brazil. Estimating the prevalence of the disease and its associated factors is important to offer adequate health care. DESIGN: A cross-sectional study with secondary data of people notified with flu-like syndrome and COVID-19 test results. METHODS: 19,967 cases of flu-like syndrome were analysed according to the result of the COVID-19 test. Predictive variables were as follows: age range, sex, women in puerperium, presence or absence of cardiovascular diseases, diabetes, haematological illness, immunodeficiencies, neurological diseases, obesity, renal diseases and Down syndrome. Robust Poisson regression models estimated the prevalence ratios of COVID-19. The research was reported via STROBE guidelines for cross-sectional studies. RESULTS: The prevalence of COVID-19 in the population was 10.37%. In the final model, the following variables were associated with COVID-19: aged people, male sex, cardiovascular diseases and diabetes. CONCLUSION: Among the flu-like syndrome cases, COVID-19 prevalence was high. In the Ceara State, clinical factors such as aged people, male sex, cardiovascular diseases and diabetes can enhance the prevalence of COVID-19 by up to 2.57 times. RELEVANCE TO CLINICAL PRACTICE: The identification of factors that are associated with the enhanced prevalence of COVID-19 facilitates early diagnosis, and adequate and prompt treatment. This knowledge may avoid an unfavourable prognosis of the disease. Twit Text FOAVip COVID-19 in a state of Brazilian Northeast: Prevalence and associated factors in people with flu-like syndrome ????J Clin Nurs http://www.kidney.de/pget.php?&tw=1&pmid=32860280 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32860280 #FOAvip English Wikipedia <ref>{{Cite pmid|32860280}}</ref> COVID-19 in a state of Brazilian Northeast: Prevalence and associated factors in people with flu-like syndrome #MMPMID32860280 Garces TS; Sousa GJB; Florencio RS; Cestari VRF; Pereira MLD; Moreira TMM J Clin Nurs 2020[Nov]; 29 (21-22): 4343-4348 PMID32860280show ga AIMS AND OBJECTIVES: To estimate the prevalence and associated factors of COVID-19 in people with flu-like syndrome in Ceara, Brazil. BACKGROUND: COVID-19 is an infectious disease that has led to a worldwide public health emergency. More than 30,000 cases were confirmed in Brazil, especially in the States of Sao Paulo, Rio de Janeiro and Ceara. The capital of the Ceara State is the one with the highest incidence of COVID-19 in Brazil. Estimating the prevalence of the disease and its associated factors is important to offer adequate health care. DESIGN: A cross-sectional study with secondary data of people notified with flu-like syndrome and COVID-19 test results. METHODS: 19,967 cases of flu-like syndrome were analysed according to the result of the COVID-19 test. Predictive variables were as follows: age range, sex, women in puerperium, presence or absence of cardiovascular diseases, diabetes, haematological illness, immunodeficiencies, neurological diseases, obesity, renal diseases and Down syndrome. Robust Poisson regression models estimated the prevalence ratios of COVID-19. The research was reported via STROBE guidelines for cross-sectional studies. RESULTS: The prevalence of COVID-19 in the population was 10.37%. In the final model, the following variables were associated with COVID-19: aged people, male sex, cardiovascular diseases and diabetes. CONCLUSION: Among the flu-like syndrome cases, COVID-19 prevalence was high. In the Ceara State, clinical factors such as aged people, male sex, cardiovascular diseases and diabetes can enhance the prevalence of COVID-19 by up to 2.57 times. RELEVANCE TO CLINICAL PRACTICE: The identification of factors that are associated with the enhanced prevalence of COVID-19 facilitates early diagnosis, and adequate and prompt treatment. This knowledge may avoid an unfavourable prognosis of the disease. |Adult[MESH] |Aged[MESH] |Brazil/epidemiology[MESH] |COVID-19 Testing/statistics & numerical data[MESH] |COVID-19/diagnosis/*epidemiology[MESH] |Case-Control Studies[MESH] |Comorbidity[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Humans[MESH] |Influenza, Human/diagnosis[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Prevalence[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH]COVID-19 in a state of Brazilian Northeast: Prevalence and associated (epmc).pdf DeepDyve Pubget Overpricing