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Journal of Infectious Diseases and Treatment

ISSN: 2472-1093

7

t h

E u r o s c i c o n C o n f e r e n c e o n

Clinical Pathology

and Epidemiology

F e b r u a r y 2 7 - 2 8 , 2 0 1 9

P r a g u e , C z e c h R e p u b l i c

Clinical Pathology & Epidemiology 2019

Introduction:

Use of cumulative number of circumcisions as a measure of success of SMC scale up may not indicate how well

access risky populations are receiving this intervention.

Objective:

To determine the number of circumcisions per male population, and ascertain if circumcisions conducted in Uganda

between the period Jul’ 2013-Mar’ 2018 are associated with key risk sexual behaviours, HIV and STI prevalence, and urbanization.

Method:

Circumcision data is accrued from DHIS2 and HMIS for the period Jul’ 2013- Mar’ 2018, while data on adult male HIV

prevalence, SMC coverage, multiple partners and prevalence of syphilis men are obtained from Uganda Population HIV Impact

Assessment report. The average number of district quarterly circumcisions per calendar year was determined using a random-

effects Poisson regression model. We obtained regional and district level factors associated with the number of circumcisions.

Measure of association was incidence rate ratios (IRR) from this Poisson model, with corresponding 95% confidence intervals

and p-value. Key variables were adjusted to provide adjusted (adj.) IRR.

Summary of key findings:

Nearly four million circumcisions were conducted between Jul’ 2013-Mar’ 2018, districts averaged

only 15 (13.3,16.5) circumcisions per 1000 males quarterly, after controlling for male population, regional, district factors and

calendar year. Circumcisions were higher in districts located in regions with high-risk sexual behaviour and high prevalence of

syphilis as an important co-factor for HIV infection, circumcisions were lower in rural districts located in regions with a high adult

male HIV prevalence compared to low HIV prevalence.

dr_nanteza@yahoo.co.uk

Coverage of safe male circumcision (SMC) per

eligible population in Uganda, 2013-2018: analysis

of Uganda’s SMC data from DHIS2

Barbara M Nanteza

1, 2

, Fredrick Makumbi

1, 2, 3

and

Diana Atwine

3

1

Johns Hopkins, USA

2

Makerere University, Uganda

3

Ministry of Health, Uganda

J Infec Dis Treat 2019, Volume: 5

DOI: 10.21767/2472-1093-C1-009