Chi-square and logistic regression were used to identify the relationship between sociodemographic characteristics and SARS-CoV Of the tested, The infection rate was the same for both genders This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Competing interests: The authors have declared that no competing interests exist.
This new coronavirus was initially identified in Wuhan, China, in December Infected individuals may experience fever, dry cough, fatigue, shortness of breath, myalgia, diarrhea, and in severe cases, the SARS-CoV-2 infection causes viral pneumonia and leads to death [ 4 β 6 ]. By the end of October , over 40 million infections and over a million deaths related to SARS-CoV-2 infection have been reported globally [ 7 ].
In Africa, the pandemic is increasing in the number of infections and deaths [ 7 , 8 ]. Luanda province is the most inhabited with about 7 million inhabitants [ 9 ]. A large proportion of the population from Luanda province lives in slums with poor basic sanitation and limited access to health care [ 10 ]. At present, there is little information published on the sociodemographic characteristics, as well as, the risk factors associated with the emergence and spread of the SARS-CoV-2, especially in low- and middle-income countries LMICs , such as Angola [ 11 ].
However, in this study, we investigate in detail the sociodemographic characteristics including risk factors related to the emergence and spread of the SARS-CoV-2 infection in Luanda, the capital city of Angola.
We did not develop a questionnaire as part of this study. The questionary used in the study was prepared and made available by the national public health directorate of Angola.
