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ObjectivesThe primary objective of this study was to examine the association between fertility awareness knowledge, and contraceptive use among sexually active female university students (FUS) in Cameroon.MethodsThis study was designed as a secondary data analysis of a cross-sectional survey that was conducted between July and August 2018. We extracted and analyzed relevant data (i.e., socio-demographic characteristics, sexual behavior, fertility-related characteristics, and contraceptive use) using a modified Poisson regression with a robust variance estimator. Prevalence Ratios (PR) and 95% confidence intervals were estimated, and statistical significance was set at P≤0.05.ResultsThe median age of the sexually active FUS was 23 years (IQR = 21-25) and 99.3% indicated that they wanted to have children. Only 49.3% knew their fertile period and 62.5% of the sexually active FUS were current contraceptive users. We found a statistically significant association between fertility awareness knowledge and period abstinence (PR = 1.57;95%CI: 1.02-2.44, p = 0.049). In multivariate adjusted models, there was a statistically significant association between fertility awareness knowledge and male condom use (APR = 1.29; 95% CI:1.02-1.64, p-value = 0.032) and the withdrawal method (APR = 1.40;95% CI:1.02-1.93, p = 0.038). We found a statistically significant effect modification of "preferred timing to have children" on the association between fertility awareness knowledge and withdrawal method use. There was no association between fertility awareness knowledge and the use of oral contraceptive pills.ConclusionMost of the female students intend to have children in the future, but their fertility awareness knowledge was suboptimal. There was a statistically significant relationship between fertility awareness knowledge, and the use of male condoms and the withdrawal method. The study underscores the need for FUS to be targeted with interventions to help them gain knowledge of their menstrual cycle to better plan or avoid unwanted pregnancy.

INTRODUCTION:People Living with HIV (PLHIV) bear a disproportionate burden of non-communicable diseases (NCDs). Despite their significant toll across populations globally, the NCD burden among key populations (KP) in Kenya remains unknown. The burden of four NCD-categories (cardiovascular diseases, cancer, chronic respiratory diseases and diabetes) was evaluated among female sex workers (FSWs) and men who have sex with men (MSM) at the Sex Workers Outreach Program (SWOP) clinics in Nairobi Kenya. METHODS:A retrospective medical chart review was conducted at the SWOP clinics among KP clients ≥15 years living with HIV enrolled between October 1, 2012 and September 30, 2015. The prevalence of the four NCD-categories were assessed at enrollment and during subsequent routine quarterly follow-up care visits as per the Ministry of Health guidelines. Prevalence at enrollment was determined and distributions of co-morbidities assessed using Chi-square and t-tests as appropriate during follow-up visits. Univariate and multivariate analysis were conducted to identify factors associated with NCD diagnoses. RESULTS:Overall, 1,478 individuals' records were analyzed; 1,392 (94.2%) were from FSWs while 86 (5.8%) were from MSM over the three-year period. FSWs' median age was 35.3 years (interquartile range (IQR) 30.1-41.6) while MSM were younger at 26.8 years (IQR 23.2-32.1). At enrollment into the HIV care program, most KPs (86.6%) were at an early WHO clinical stage (stage I-II) and 1462 (98.9%) were on first-line anti-retroviral therapy (ART). A total of 271, 18.3% (95% CI: 16.4-20.4%), KPs living with HIV had an NCD diagnosis in their clinical chart records during the study period. Majority of these cases, 258 (95.2%) were noted among FSWs. Cardiovascular disease that included hypertension was present in 249/271, 91.8%, of KPs with a documented NCD. Using a proxy of two or more elevated blood pressure readings taken < 12 months apart, prevalence of hypertension rose from 1.0% (95% CI: 0.6-1.7) that was documented in the charts during the first year to 16.3% (95% CI: 14.4-18.3) in the third year. Chronic respiratory disease mainly asthma was present in 16/271, a prevalence of 1.1% (95% CI: 0.6-1.8) in the study population. Cancer in general was detected in 10/271, prevalence of 0.7% (95% CI: 0.3-1.2) over the same period. Interestingly, diabetes was not noted in the study group. Lastly, significant associations between NCD diagnosis with increasing age, body-mass index and CD4 + cell-counts were noted in univariate analysis. However, except for categories of ≥ BMI 30 kg/m2 and age ≥ 45, the associations were not sustained in adjusted risk estimates. CONCLUSION:In Kenya, KP living with HIV and on ART have a high prevalence of NCD diagnoses. Multiple NCD risk factors were also noted against a backdrop of a changing HIV epidemic in the study population. This calls for scaling up focus on both HIV and NCD prevention and care in targeted populations at increased risk of HIV acquisition and transmission. Hence, KP programs could include integrated HIV-NCD screening and care in their guidelines.

Estimating incidence from cross-sectional data sources is both important to the understanding of the HIV epidemic and challenging from a methodological standpoint. We develop a new incidence estimator that measures the size of the undiagnosed population and the amount of time spent undiagnosed in order to infer incidence and transmission rates. The estimator is calculated using commonly collected information on testing history and HIV status and, thus, can be deployed in many HIV surveys without additional cost. If ART biomarker status and/or viral load information is available, the estimator can be adjusted for biases in self-reported testing history. The performance of the estimator is explored in two large surveys in Kenya, where we find our point estimates to be consistent with assay-derived estimates, with much smaller standard errors.

INTRODUCTION:The purpose of this study was to examine the relationship between socio-demographic characteristics, risky sexual behaviour, alcohol use and transactional sex among female bar workers in Yaounde, Cameroon. MATERIALS AND METHODS:A cross-sectional survey was conducted among a representative sample of 410 female bar workers, recruited through a modified version of venue-based cluster sampling technique from May to June 2017. Transactional sex was defined as having received money/gifts in exchange for sex with any sexual partner in the past 12 months. Logistic regression models were performed to identify the factors associated with transactional sex. The level of statistical significance was set at p< = 0.05. RESULTS:About 14.9% (n = 61) of respondents reported to have engaged in transactional sex, 83.7% (n = 338) had multiple sexual partners at the time of the study, 14.4% (n = 55) had sex with one or more of their male customers in the past 6 months. Almost 73.4% (n = 301) reported alcohol use. Of these, 37.2% (n = 112) were frequent alcohol consumers. About 17.6% (n = 72) reported to have had unprotected sex under the influence of alcohol in the past 6 months. Multivariate logistic regression analysis showed that those who engaged in transactional sex were more likely to have had sex with a male customer in the past 6 months (aOR = 7.34; 95% CI, 3.63-16.98), had sex under the influence of alcohol in the past 6 months (aOR = 2.42; 95% CI, 1.18-4.96) and frequent alcohol consumers (aOR = 2.06; 95%CI, 1.04-4.10). Respondents who had their last sexual intercourse 4 weeks or more prior to the study (aOR = 0.26; 95% CI, 0.08-0.84) were less likely to have engaged in transactional sex. CONCLUSIONS:Our study concludes that female bar workers are exposed to male customers and engage in risky sexual practices including transaction sex. Most of them also consume alcohol which increases their risk of HIV and STI acquisition. They are a high-risk group that need to be targeted with HIV prevention interventions.

Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial statistical context may provide more insight on the interaction of diseases both at individual and at regional level. Spatial joint modeling allows for studying of the relationship between diseases and also between regions under study. One major approach for joint spatial modeling is the multivariate conditional autoregressive approach. In this approach, it is assumed that all the covariates in the study have linear effects on the multiple response variables. In this study, we relax this linearity assumption and allow some covariates to have nonlinear effects using the penalized regression splines. This model was used to jointly model the spatial variation of human immunodeficiency virus (HIV) and herpes simplex virus-type 2 (HSV-2) among women in Kenya. The model was applied to HIV and HSV-2 prevalence data among women aged 15-49 years in Kenya, derived from the 2007 Kenya AIDS indicator survey. A full Bayesian approach was used and the models were implemented in WinBUGS software. Both diseases showed significant spatial variation with highest disease burdens occurring around the Lake Victoria region. There was a nonlinear association between age of an individual and HIV and HSV-2 infection. The peak age for HIV was around 30 years while that of HSV-2 was about 40 years. A positive significant spatial correlation between HIV and HSV-2 was observed with a correlation of 0.6831(95% CI: 0.3859, 0.871).

Spatial statistics has seen rapid application in many fields, especially epidemiology and public health. Many studies, nonetheless, make limited use of the geographical location information and also usually assume that the covariates, which are related to the response variable, have linear effects. We develop a Bayesian semi-parametric regression model for HIV prevalence data. Model estimation and inference is based on fully Bayesian approach via Markov Chain Monte Carlo (McMC). The model is applied to HIV prevalence data among men in Kenya, derived from the Kenya AIDS indicator survey, with n = 3,662. Past studies have concluded that HIV infection has a nonlinear association with age. In this study a smooth function based on penalized regression splines is used to estimate this nonlinear effect. Other covariates were assumed to have a linear effect. Spatial references to the counties were modeled as both structured and unstructured spatial effects. We observe that circumcision reduces the risk of HIV infection. The results also indicate that men in the urban areas were more likely to be infected by HIV as compared to their rural counterpart. Men with higher education had the lowest risk of HIV infection. A nonlinear relationship between HIV infection and age was established. Risk of HIV infection increases with age up to the age of 40 then declines with increase in age. Men who had STI in the last 12 months were more likely to be infected with HIV. Also men who had ever used a condom were found to have higher likelihood to be infected by HIV. A significant spatial variation of HIV infection in Kenya was also established. The study shows the practicality and flexibility of Bayesian semi-parametric regression model in analyzing epidemiological data.