The authors acknowledge the support of the Nigeria Federal Ministry of Health and the WHO Nigeria Country Office in the conduct of this study. Special thanks to Victoria Nyawira Nyaga for checking through our statistical analyses. Authorship declaration: DA conceived and designed the study. DA, DQA and AA conducted the literature searches and data extraction. DA, DQA and EOO wrote the first draft. DA and MBA conducted the analysis. DA, AA, RGM, MTD, CO, NE, MOH, WA and IFA contributed to the final draft and checked for important intellectual content. All authors approved the manuscript as submitted.

With assistance from the Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM), Malawi is scaling-up the delivery of antiretroviral (ARV) therapy to HIV-positive eligible patients. The country has developed National ARV Treatment Guidelines, which emphasize a structured and standardized approach for all aspects of ARV delivery, including monitoring and evaluation. Using the successful DOTS model adapted by National TB Control Programmes throughout the world, Malawi has developed a system of quarterly ARV cohort and cumulative ARV quarterly analyses. Thyolo district, in the southern region of Malawi, has been using this system since April 2003. This paper describes the standardized ARV treatment regimens and the treatment outcomes used in Thyolo to assess the impact of treatment, the registration and monitoring systems and how the cohort analyses are carried out. Data are presented for case registration and treatment outcome for the first quarterly cohort (April to June) and the combined cohorts (April to June and July to September). Such quarterly analyses may be useful for districts and Ministries of Health in assessing ARV delivery, although the burden of work involved in calculating the numbers may become large once ARV delivery systems have been established for several years.

BackgroundNational smoking cessation strategies in Nigeria are hindered by lack of up-to-date epidemiologic data. We aimed to estimate prevalence of tobacco smoking in Nigeria to guide relevant interventions.MethodsWe conducted systematic search of publicly available evidence from 1990 through 2018. A random-effects meta-analysis and meta-regression epidemiologic model were employed to determine prevalence and number of smokers in Nigeria in 1995 and 2015.ResultsAcross 64 studies (n = 54,755), the pooled crude prevalence of current smokers in Nigeria was 10.4% (9.0–11.7) and 17.7% (15.2–20.2) for ever smokers. This was higher among men compared to women in both groups. There was considerable variation across geopolitical zones, ranging from 5.4% (North-west) to 32.1% (North-east) for current smokers, and 10.5% (South-east) to 43.6% (North-east) for ever smokers. Urban and rural dwellers had relatively similar rates of current smokers (10.7 and 9.1%), and ever smokers (18.1 and 17.0%). Estimated median age at initiation of smoking was 16.8 years (IQR: 13.5–18.0). From 1995 to 2015, we estimated an increase in number of current smokers from 8 to 11 million (or a decline from 13 to 10.6% of the population). The pooled mean cigarettes consumption per person per day was 10.1 (6.1–14.2), accounting for 110 million cigarettes per day and over 40 billion cigarettes consumed in Nigeria in 2015.ConclusionsWhile the prevalence of smokers may be declining in Nigeria, one out of ten Nigerians still smokes daily. There is need for comprehensive measures and strict anti-tobacco laws targeting tobacco production and marketing.

Background Targeted public health response to obesity in Nigeria is relatively low due to limited epidemiologic understanding. We aimed to estimate nationwide and sub-national prevalence of overweight and obesity in the adult Nigerian population. Methods MEDLINE, EMBASE, Global Health, and Africa Journals Online were systematically searched for relevant epidemiologic studies in Nigeria published on or after 01 January 1990. We assessed quality of studies and conducted a random-effects meta-analysis on extracted crude prevalence rates. Using a meta-regression model, we estimated the number of overweight and obese persons in Nigeria in the year 2020. Results From 35 studies ( n = 52,816), the pooled crude prevalence rates of overweight and obesity in Nigeria were 25.0% (95% confidence interval, CI: 20.4–29.6) and 14.3% (95% CI: 12.0–15.5), respectively. The prevalence in women was higher compared to men at 25.5% (95% CI: 17.1–34.0) versus 25.2% (95% CI: 18.0–32.4) for overweight, and 19.8% (95% CI: 3.9–25.6) versus 12.9% (95% CI: 9.1–16.7) for obesity, respectively. The pooled mean body mass index (BMI) and waist circumference were 25.6 kg/m 2 and 86.5 cm, respectively. We estimated that there were 21 million and 12 million overweight and obese persons in the Nigerian population aged 15 years or more in 2020, accounting for an age-adjusted prevalence of 20.3% and 11.6%, respectively. The prevalence rates of overweight and obesity were consistently higher among urban dwellers (27.2% and 14.4%) compared to rural dwellers (16.4% and 12.1%). Conclusions Our findings suggest a high prevalence of overweight and obesity in Nigeria. This is marked in urban Nigeria and among women, which may in part be due to widespread sedentary lifestyles and a surge in processed food outlets, largely reflective of a trend across many African settings. KEY MESSAGES About 12 million persons in Nigeria were estimated to be obese in 2020, with prevalence considerably higher among women. Nutritional and epidemiological transitions driven by demographic changes, rising income, urbanization, unhealthy lifestyles, and consumption of highly processed diets appear to be driving an obesity epidemic in the country.

Background HIV testing and counseling (HTC) is essential for successful HIV prevention and treatment programs. The national target for HTC is 80% of the adult population in Kenya. Population-based data to measure progress towards this HTC target are needed to assess the country’s changing needs for HIV prevention and treatment. Methods In 2012–2013, we conducted a national HIV survey among Kenyans aged 18 months to 64 years. Respondents aged 15–64 years were administered a questionnaire that collected information on demographics, HIV testing behavior, and self-reported HIV status. Blood samples were collected for HIV testing in a central laboratory. Participants were offered home-based testing and counseling to learn their HIV status in the home and point-of-care CD4 testing if they tested HIV-positive. Results Of 13,720 adults who were interviewed, 71.6% [95% confidence interval (CI): 70.2 to 73.1] had been tested for HIV. Among those, 56.1% (95% CI: 52.8 to 59.4) had been tested in the past year, 69.4% (95% CI: 68.0 to 70.8) had been tested more than once, and 37.2% (95% CI: 35.7 to 38.8) had been tested with a partner. Fifty-three percent (95% CI: 47.6 to 58.7) of HIV-infected persons were unaware of their infection. Overall 9874 (72.0%) of participants accepted home-based HIV testing and counseling; 4.1% (95% CI: 3.3 to 4.9) tested HIV-positive, and of those, 42.5% (95% CI 31.4 to 53.6) were in need of immediate treatment for their HIV infection but not receiving it. Conclusions HIV testing rates have nearly reached the national target for HTC in Kenya. However, knowledge of HIV status among HIV-infected persons remains low. HTC needs to be expanded to reach more men and couples, and strategies are needed to increase repeat testing for persons at risk for HIV infection.