Supplementary Materials Appendix S1. countries where these details was available. We presented summary graphs showing associations that were present in at least six countries (five in the analysis with HIV status). Results We analysed data from 190,273 men (range across countries 2295 to 17,359) and 420,198 women (6621 PF 670462 to 38,948). The two variables with the highest total number of edges in the summary graphs were literacy and rural/urban location. Literacy was negatively associated with false beliefs about AIDS and, for women, early sexual initiation, in most countries. Literacy was also positively associated with ever being tested for HIV and the belief that women have the right to ask their husband to use condoms if he has a sexually transmitted infection. Rural location was positively associated with false beliefs about HIV and the belief that beating one’s wife is justified, and negatively associated with having been tested for HIV. In the analysis including COL4A6 HIV status, becoming HIV positive was connected with feminine\headed household, old age group and rural area among ladies, and without variables among males. Conclusions Literacy and urbanity were connected with several elements which are very important to HIV acquisition strongly. Since literacy is among the few variables that may be improved by interventions, this helps it be a promising treatment target. Keywords: HIV epidemiology, PF 670462 risk elements, Africa, Bayesian network, visual model, demographic and wellness studies (DHS), socio\behavioural elements 1.?Intro In sub\Saharan Africa, about 26?million individuals were coping with HIV in 2018 1. HIV prevalence can be high general, but extremely heterogeneous between countries, which range from under 1% in Senegal and Niger to as much as 25% in Lesotho and eSwatini (previously Swaziland) 2, 3, 4, 5, 6. The HIV prevalence varies considerably within countries, the entire epidemic becoming focused in clustered micro\epidemics of different physical scales 7. The Joint US Program on HIV/Helps (UNAIDS) offers urged analysts to focus on these variations, also to determine geographical areas where in fact the risk of obtaining HIV can be higher: understand your epidemic, understand your response 7. Variant continues to be related to many elements, including socio\demographic, behavioural and natural 3, 8. One of the elements connected with HIV burden are age group, religion, marital position, high degrees of HIV\related stigma, intimate coercion, education, profession and gender 4, 8. Education make a difference HIV prevalence. In countries where everyone understands HIV risk can be high Actually, the public may not know very much about how exactly the condition spreads. For example, those who have not been taught why and how to use condoms are less likely to protect themselves 8. Attitudes and behaviour can also contribute PF 670462 to HIV PF 670462 risk. If false beliefs about HIV and AIDS are not corrected and replaced with specific, accurate knowledge, this can increase risky sexual behaviour PF 670462 and infection risk 9. Women with little education are likely to be less informed about interventions that mitigate HIV risk 9, but higher HIV rates among women cannot be fully explained by either lower educational levels or higher biological susceptibility. In countries with high HIV prevalence, gender inequality has been associated with HIV spread along with low levels of general education 10 and sexual education 8. Women with limited or no income may engage in transactional sex to survive 11, so socio\economic and living conditions can also be factors in HIV transmission. Urban residence may increase the risk of infection by increasing the probability of high\risk sexual contacts 12, but it may also decrease HIV risk because urban dwellers are more likely to be employed and have better access to care and treatment 13. Most studies about risk factors.