Prevalence and risk factors of brucellosis among febrile patients attending a community hospital in south western Uganda

Human brucellosis, a chronic disease contracted through contact with animals and consuption of unpasteurized dairy products is underreported in limited-resource countries. This cross-sectional study aimed to determine the prevalence and risk factors of brucellosis among febrile patients attending a community hospital in South western Uganda. A questionnaire that captured socio-demographic, occupational and clinical data was administered. Blood samples were tested for Brucella antibodies using Rose Bengal Plate Test (RBPT) and blood culture with standard aerobic BACTEC bottle was done. Of 235 patients enrolled, prevalence of brucellosis (RBPT or culture confirmed) was 14.9% (95%CI 10.6-20.1) with a culture confrmation in 4.3% of the participants. The factors independently associated with brucellosis were consumption of raw milk (aOR 406.15, 95% CI 47.67-3461.69); history of brucellosis in the family (aOR 9.19, 95% CI 1.98-42.54); and selling hides and skins (aOR 162.56, 95% CI 2.86-9256.31). Hepatomegaly (p < 0.001), splenomegaly (p = 0.018) and low body mass index (p = 0.032) were more common in patients with brucellosis compared to others. Our findings reveal a high prevalence of brucellosis among febrile patients and highlight a need for implementing appropiate tests, public awareness activities and vaccination of animals to control and eliminate the disease

Prevalence and risk factors of brucellosis among febrile patients attending a community hospital in south western Uganda

Human brucellosis, a chronic disease contracted through contact with animals and consuption of unpasteurized dairy products is underreported in limited-resource countries. This cross-sectional study aimed to determine the prevalence and risk factors of brucellosis among febrile patients attending a community hospital in South western Uganda. A questionnaire that captured socio-demographic, occupational and clinical data was administered. Blood samples were tested for Brucella antibodies using Rose Bengal Plate Test (RBPT) and blood culture with standard aerobic BACTEC bottle was done. Of 235 patients enrolled, prevalence of brucellosis (RBPT or culture confirmed) was 14.9% (95%CI 10.6-20.1) with a culture confrmation in 4.3% of the participants. The factors independently associated with brucellosis were consumption of raw milk (aOR 406.15, 95% CI 47.67-3461.69); history of brucellosis in the family (aOR 9.19, 95% CI 1.98-42.54); and selling hides and skins (aOR 162.56, 95% CI 2.86-9256.31). Hepatomegaly (p < 0.001), splenomegaly (p = 0.018) and low body mass index (p = 0.032) were more common in patients with brucellosis compared to others. Our findings reveal a high prevalence of brucellosis among febrile patients and highlight a need for implementing appropiate tests, public awareness activities and vaccination of animals to control and eliminate the disease

Prevalence of and factors associated with anxiety, depression and post-traumatic stress disorder among Sudan ebolavirus disease survivors and family members, Uganda, January 2023: a cross-sectional study

Abstract Background Communities affected by Ebola disease (EBOD) may face resulting increases in mental health disorders. We evaluated the prevalence of and factors associated with mental health disorders among persons affected by the 2022 Sudan virus disease (SVD) outbreak in Uganda. Methods We conducted a cross-sectional study among SVD survivors and family members of survivors and fatal cases from 15–31 January 2023. We included only laboratory-confirmed SVD survivors and family members who lived with or cared for confirmed SVD patients during their illness. The Hospital Anxiety and Depression Scale was used to evaluate anxiety and depression. The post-traumatic stress disorder (PTSD) checklist for the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition was used to evaluate PTSD. Modified Poisson regression was used to determine factors associated with each mental health disorder. Results We enrolled 54 survivors and 82 family members; median age was 30 years (range, 15–73) and 54% were female. The prevalence of anxiety (55%) and depression (50%) was higher than PTSD (17%). The prevalence of all mental health disorders was similar between survivors and family members. Household size was associated with both anxiety and PTSD. Number of SVD deaths in the household was associated with depression. Conclusion Approximately two-thirds of SVD survivors and family members of patients in the 2022 outbreak in Uganda had ≥ 1 mental health disorders shortly after the outbreak ended. Strengthening mental health services during and after Ebola virus outbreaks for survivors and family members of patients may enhance the quality of outbreak response

1498. Geographic differences in weight change on dolutegravir: a prospective cohort study

Background: People with HIV (PWH) on integrase inhibitors may be at increased risk of excess weight gain, but it is unclear if this risk is consistent across settings. Our study objective was to compare weight change over 48 weeks among PWH in Uganda and South Africa.Figure 1.Mean weight change (kg) over 48 weeks among DISCO participants overall (A), among men (B), and among women (C). Methods: The Population Effectiveness of Dolutegravir Implementation in Sub-Saharan Africa (DISCO) study is a prospective observational cohort of PWH in routine clinical care at public-sector HIV clinics in Uganda and South Africa. Inclusion criteria were as follows: PWH >18 years old, on NNRTI-based first-line ART for >6 months, and switched to tenofovir disoproxil fumarate, lamivudine, and dolutegravir) by clinic staff. We measured the primary outcomes of weight (in kilograms [kg]) and waist circumference (WC, in centimeters [cm]) at enrollment, 24 weeks, and 48 weeks after switch. The primary outcomes were (1) weight change (kg) and (2) change in WC (cm). We used a linear mixed-effect regression model, adjusted for age, sex, education, duration on ART, and the interaction of study site and visit, to estimate weight. Results: 428 individuals in Uganda and 387 in South Africa had data available. The mean weight change over 48 weeks was 0.6 kg [95% CI: 0.1-1.0] in Uganda compared to 2.9 kg [2.4-3.4] in South Africa (p< 0.001); men had significantly smaller mean weight changes than women did in both countries (Figure 1). After adjustment, PWH in South Africa gained significantly more weight than those in Uganda. In participants with available waist data (277 in Uganda and 402 in South Africa), the mean change in WC was significantly greater among those in South Africa (2.3 cm [1.4-3.2]) than those in Uganda (0.8 cm [0.0-1.5]) (p< 0.017). Conclusion: PWH in South Africa experienced greater weight gain than in Uganda, suggesting substantial heterogeneity in this risk across settings. Strategies to address obesity risk in PWH should account for regionality. Disclosures: W D Francois Venter, MD, FCP, PhD, Gilead Sciences: Grant/Research Support|South African Medical Research Council: Grant/Research Support|Unitaid: Grant/Research Support|USAID: Grant/Research Support|ViiV Healthcare: Grant/Research Support Mark J Siedner, MD, MPH, Viiv Healthcare: Grant/Research Suppor

Ownership and use of long-lasting insecticidal nets three months after a mass distribution campaign in Uganda, 2021

Abstract Background Uganda conducted its third mass long-lasting insecticidal net (LLIN) distribution campaign in 2021. The target of the campaign was to ensure that 100% of households own at least one LLIN per two persons and to achieve 85% use of distributed LLINs. LLIN ownership, use and associated factors were assessed 3 months after the campaign. Methods A cross-sectional household survey was conducted in 14 districts from 13 to 30 April, 2021. Households were selected using multistage sampling. Each was asked about LLIN ownership, use, duration since received to the time of interview, and the presence of LLINs was visually verified. Outcomes were having at least one LLIN per two household members, and individual LLIN use. Modified Poisson regression was used to assess associations between exposures and outcomes. Results In total, 5529 households with 27,585 residents and 15,426 LLINs were included in the analysis. Overall, 95% of households owned ≥ 1 LLIN, 92% of the households owned ≥ 1 LLIN < 3 months old, 64% of households owned ≥ 1 LLIN per two persons in the household. Eighty-seven per cent could sleep under an LLIN if every LLIN in the household were used by two people, but only 69% slept under an LLIN the night before the survey. Factors associated with LLIN ownership included believing that LLINs are protective against malaria (aPR = 1.13; 95% CI  1.04–1.24). Reported use of mosquito repellents was negatively associated with ownership of LLINs (aPR = 0.96; 95% CI 0.95–0.98). The prevalence of LLIN use was 9% higher among persons who had LLINs 3–12 months old (aPR = 1.09; 95% CI  1.06–1.11) and 10% higher among those who had LLINs 13–24 months old (aPR = 1.10; 95% CI  1.06–1.14) than those who had LLINs < 3 months old. Of 3,859 LLINs identified in the households but not used for sleeping the previous night, 3250 (84%) were < 3 months old. Among these 3250, 41% were not used because owners were using old LLINs; 16% were not used because of lack of space for hanging them; 11% were not used because of fear of chemicals in the net; 5% were not used because of dislike of the smell of the nets; and, 27% were not used for other reasons. Conclusion The substantial difference between the population that had access to LLINs and the population that slept under LLINs indicates that the National Malaria Control Programme (NMCP) may need to focus on addressing the main drivers or barriers to LLIN use. NMCP and/or other stakeholders could consider designing and conducting targeted behaviour change communication during subsequent mass distribution of LLINs after the mass distribution campaign to counter misconceptions about new LLINs

Performance and impact of contact tracing in the Sudan virus outbreak in Uganda, September 2022-January 2023

Background: Contact tracing (CT) is critical for ebolavirus outbreak response. Ideally, all new cases after the index case should be previously-known contacts (PKC) before their onset, and spend minimal time ill in the community. We assessed the impact of CT during the 2022 Sudan Virus Disease (SVD) outbreak in Uganda. Methods: We collated anonymized data from the SVD case and contacts database to obtain and analyze data on CT performance indicators, comparing confirmed cases that were PKC and were not PKC (NPKC) before onset. We assessed the effect of being PKC on the number of people infected using Poisson regression. Results: There were 3844 contacts of 142 confirmed cases (mean: 22 contacts/case). Forty-seven (33%) confirmed cases were PKC. PKCs had fewer median days from onset to isolation (4 vs 6; P<0.007) and laboratory confirmation (4 vs 7; P<0.001) than NPKC. Being a PKC vs NPKC reduced risk of transmitting infection by 84% (IRR=0.16, 95% CI 0.08-0.32). Conclusion: Contact identification was sub-optimal during the outbreak. However, CT reduced the time SVD cases spent in the community before isolation and the number of persons infected in Uganda. Approaches to improve contact tracing, especially contact listing, may improve control in future outbreaks

Sudan virus disease super-spreading, Uganda, 2022

Abstract Background On 20 September 2022, Uganda declared its fifth Sudan virus disease (SVD) outbreak, culminating in 142 confirmed and 22 probable cases. The reproductive rate (R) of this outbreak was 1.25. We described persons who were exposed to the virus, became infected, and they led to the infection of an unusually high number of cases during the outbreak. Methods In this descriptive cross-sectional study, we defined a super-spreader person (SSP) as any person with real-time polymerase chain reaction (RT-PCR) confirmed SVD linked to the infection of ≥ 13 other persons (10-fold the outbreak R). We reviewed illness narratives for SSPs collected through interviews. Whole-genome sequencing was used to support epidemiologic linkages between cases. Results Two SSPs (Patient A, a 33-year-old male, and Patient B, a 26-year-old male) were identified, and linked to the infection of one probable and 50 confirmed secondary cases. Both SSPs lived in the same parish and were likely infected by a single ill healthcare worker in early October while receiving healthcare. Both sought treatment at multiple health facilities, but neither was ever isolated at an Ebola Treatment Unit (ETU). In total, 18 secondary cases (17 confirmed, one probable), including three deaths (17%), were linked to Patient A; 33 secondary cases (all confirmed), including 14 (42%) deaths, were linked to Patient B. Secondary cases linked to Patient A included family members, neighbours, and contacts at health facilities, including healthcare workers. Those linked to Patient B included healthcare workers, friends, and family members who interacted with him throughout his illness, prayed over him while he was nearing death, or exhumed his body. Intensive community engagement and awareness-building were initiated based on narratives collected about patients A and B; 49 (96%) of the secondary cases were isolated in an ETU, a median of three days after onset. Only nine tertiary cases were linked to the 51 secondary cases. Sequencing suggested plausible direct transmission from the SSPs to 37 of 39 secondary cases with sequence data. Conclusion Extended time in the community while ill, social interactions, cross-district travel for treatment, and religious practices contributed to SVD super-spreading. Intensive community engagement and awareness may have reduced the number of tertiary infections. Intensive follow-up of contacts of case-patients may help reduce the impact of super-spreading events