Risk factors for death among children with severe malaria, Ivukula sub-county, Namutumba district, Eastern Uganda, september 2021-february 2022.

BACKGROUND: In February 2022, the Ministry of Health received reports of more than 100 child deaths from a 'strange disease' in Namutumba District over a period of 6 months from politicians through the media. Preliminary investigations by the district rapid response team confirmed the strange disease to be severe malaria. The scope of severe malaria deaths was investigated, associated factors identified, and recommendations made for control measures to inform early malaria treatment strategies in Namutumba District. METHODS: A retrospective study was conducted in March 2022 in the most affected subcounty (Ivukula Subcounty) involving cases and controls. A case was defined as a death with a positive malaria test, fever and any of the following: convulsions, difficulty breathing, yellowing of eyes or palms, tea-coloured urine, anaemia (evidenced by pale eyes or palms, or clinically-identified in medical records), loss of consciousness, or reduced urine output (very little or no urine in a day) in a child ≤ 12 years from September 2021 to February 2022 in Ivukula Subcounty, Namutumba District. Controls were survivors with the same signs and symptoms, recruited in a 2:1 ratio with cases. Cases and controls were actively searched using a door-to-door approach with the help of community health workers. Caretakers were interviewed to obtain data on signs and symptoms, socio-demographic information, health-seeking behaviours and health system risk factors. Drugs and bloodstock status information was obtained from health workers using an interview guide. Factors associated with death were identified using multivariate logistic regression and thematic analysis for qualitative data. RESULTS: Among 46 cases, 29 (63%) were < 5 years, and 23 (50%) were female. Death among children with severe malaria was significantly associated with treatment non-completion (aOR = 9.7, 95%CI 1.8-53) and inability to receive blood transfusion for anaemic patients (aOR = 7.1, (95%CI 1.4-36). Healthcare workers reported that inability to reach referral sites due to transport costs, stockouts of anti-malarials and blood products at health facilities, and absence of integrated community case management of childhood illnesses (iCCM) contributed to deaths among children with severe malaria. CONCLUSION: Lack of access to anti-malarial treatment and to blood transfusions among anaemic patients due to stockouts were associated with severe malaria deaths among children ≤ 12 years in Ivukula Subcounty. Recommendations made were: accurate quantification of anti-malarials for health facilities, offering transport support to severe patients referred to higher-level facilities, and increasing access to blood products. Activation of iCCM could facilitate public health efforts against severe malaria in the district.

Individual and household risk factors for Ebola disease among household contacts in Mubende and Kassanda districts, Uganda, 2022.

BACKGROUND: In 2022, an Ebola disease outbreak caused by Sudan virus (SUDV) occurred in Uganda, primarily affecting Mubende and Kassanda districts. We determined risk factors for SUDV infection among household members (HHM) of cases. METHODS: We conducted a case-control and retrospective cohort study in January 2023. Cases were RT-PCR-confirmed SUDV infection in residents of Mubende or Kassanda districts during the outbreak. Case-households housed a symptomatic, primary case-patient for ≥ 24 h and had ≥ 1 secondary case-patient with onset < 2 weeks after their last exposure to the primary case-patient. Control households housed a case-patient and other HHM but no secondary cases. A risk factor questionnaire was administered to the primary case-patient or another adult who lived at home while the primary case-patient was ill. We conducted a retrospective cohort study among case-household members and categorized their interactions with primary case-patients during their illnesses as none, minimal, indirect, and direct contact. We conducted logistic regression to explore associations between exposures and case-household status, and Poisson regression to identify risk factors for SUDV infection among HHM. RESULTS: Case- and control-households had similar median sizes. Among 19 case-households and 51 control households, primary case-patient death (adjusted odds ratio [ORadj] = 7.6, 95% CI 1.4-41) and ≥ 2 household bedrooms (ORadj=0.19, 95% CI 0.056-0.71) were associated with case-household status. In the cohort of 76 case-HHM, 44 (58%) were tested for SUDV < 2 weeks from their last contact with the primary case-patient; 29 (38%) were positive. Being aged ≥ 18 years (adjusted risk ratio [aRRadj] = 1.9, 95%CI: 1.01-3.7) and having direct or indirect contact with the primary case-patient (aRRadj=3.2, 95%CI: 1.1-9.7) compared to minimal or no contact increased risk of Sudan virus disease (SVD). Access to a handwashing facility decreased risk (aRRadj=0.52, 95%CI: 0.31-0.88). CONCLUSION: Direct contact, particularly providing nursing care for and sharing sleeping space with SVD patients, increased infection risk among HHM. Risk assessments during contact tracing may provide evidence to justify closer monitoring of some HHM. Health messaging should highlight the risk of sharing sleeping spaces and providing nursing care for persons with Ebola disease symptoms and emphasize hand hygiene to aid early case identification and reduce transmission.

Increasing trends of antibiotic resistance in Uganda: analysis of the national antimicrobial resistance surveillance data, 2018-2021.

BACKGROUND: Continuous monitoring of antimicrobial resistance (AMR) in Uganda involves testing bacterial isolates from clinical samples at national and regional hospitals. Although the National Microbiology Reference Laboratory (NMRL) analyzes these isolates for official AMR surveillance data, there's limited integration into public health planning. To enhance the utilization of NMRL data to better inform drug selection and public health strategies in combating antibiotic resistance, we evaluated the trends and spatial distribution of AMR to common antibiotics used in Uganda. METHODS: We analyzed data from pathogenic bacterial isolates from blood, cerebrospinal, peritoneal, and pleural fluid from AMR surveillance data for 2018-2021. We calculated the proportions of isolates that were resistant to common antimicrobial classes. We used the chi-square test for trends to evaluate changes in AMR resistance over the study period. RESULTS: Out of 537 isolates with 15 pathogenic bacteria, 478 (89%) were from blood, 34 (6.3%) were from pleural fluid, 21 (4%) were from cerebrospinal fluid, and 4 (0.7%) were from peritoneal fluid. The most common pathogen was Staphylococcus aureus (20.1%), followed by Salmonella species (18.8%). The overall change in resistance over the four years was 63-84% for sulfonamides, fluoroquinolones macrolides (46-76%), phenicols (48-71%), penicillins (42-97%), ß-lactamase inhibitors (20-92%), aminoglycosides (17-53%), cephalosporins (8.3-90%), carbapenems (5.3-26%), and glycopeptides (0-20%). There was a fluctuation in resistance of Staphylococcus aureus to methicillin (60%-45%) (using cefoxitin resistance as a surrogate for oxacillin resistance) Among gram-negative organisms, there were increases in resistance to tetracycline (29-78% p < 0.001), ciprofloxacin (17-43%, p = 0.004), ceftriaxone (8-72%, p = 0.003), imipenem (6-26%, p = 0.004), and meropenem (7-18%, p = 0.03). CONCLUSION: The study highlights a concerning increase in antibiotic resistance rates over four years, with significant increase in resistance observed across different classes of antibiotics for both gram-positive and gram-negative organisms. This increased antibiotic resistance, particularly to commonly used antibiotics like ceftriaxone and ciprofloxacin, makes adhering to the WHO's Access, Watch, and Reserve (AWaRe) category even more critical. It also emphasizes how important it is to guard against the growing threat of antibiotic resistance by appropriately using medicines, especially those that are marked for "Watch" or "Reserve."

Understanding the delay in identifying Sudan Virus Disease: gaps in integrated disease surveillance and response and community-based surveillance to detect viral hemorrhagic fever outbreaks in Uganda, September 2022.

BACKGROUND: Early detection of outbreaks requires robust surveillance and reporting at both community and health facility levels. Uganda implements Integrated Disease Surveillance and Response (IDSR) for priority diseases and uses the national District Health Information System (DHIS2) for reporting. However, investigations after the first case in the 2022 Uganda Sudan virus outbreak was confirmed on September 20, 2022 revealed many community deaths among persons with Ebola-like symptoms as far back as August. Most had sought care at private facilities. We explored possible gaps in surveillance that may have resulted in late detection of the Sudan virus disease (SVD) outbreak in Uganda. METHODS: Using a standardized tool, we evaluated core surveillance capacities at public and private health facilities at the hospital level and below in three sub-counties reporting the earliest SVD cases in the outbreak. Key informant interviews (KIIs) were conducted with 12 purposively-selected participants from the district local government. Focus group discussions (FGDs) were conducted with community members from six villages where early probable SVD cases were identified. KIIs and FGDs focused on experiences with SVD and Viral Hemorrhagic Fever (VHF) surveillance in the district. Thematic data analysis was used for qualitative data. RESULTS: Forty-six (85%) of 54 health facilities surveyed were privately-owned, among which 42 (91%) did not report to DHIS2 and 39 (85%) had no health worker trained on IDSR; both metrics were 100% in the eight public facilities. Weak community-based surveillance, poor private facility engagement, low suspicion index for VHF among health workers, inability of facilities to analyze and utilize surveillance data, lack of knowledge about to whom to report, funding constraints for surveillance activities, lack of IDSR training, and lack of all-cause mortality surveillance were identified as gaps potentially contributing to delayed outbreak detection. CONCLUSION: Both systemic and knowledge-related gaps in IDSR surveillance in SVD-affected districts contributed to the delayed detection of the 2022 Uganda SVD outbreak. Targeted interventions to address these gaps in both public and private facilities across Uganda could help avert similar situations in the future.

Sudan virus disease super-spreading, Uganda, 2022.

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.

Malaria diagnostic and treatment practices for febrile children under 5 years at two general hospitals in Karamoja, a high transmission setting in Uganda.

BACKGROUND: Malaria is one of the leading causes of morbidity and mortality among children under 5 years of age in Uganda. Although Karamoja sub-region has the highest prevalence of malaria, and one of the highest case fatality rates in children under 5 years, information on malaria case management for the sub-region is scarce. The study evaluated the malaria diagnostic and treatment practices, as well as the factors associated with inappropriate care for children under 5 years of age presenting with fever in two public hospitals within the sub-region. METHODS: A cross-sectional study was conducted amongst 857 children under 5 years of age who presented with fever at Abim and Kaabong general hospitals between February and March 2020. A questionnaire was administered to the primary caregiver during exit/bedside interviews to collect socio-demographic information. The participant clinical notes were reviewed to capture information on laboratory tests conducted, diagnosis given, and treatment prescribed. In addition, a health facility assessment was conducted and information on healthcare workers was collected. The healthcare worker and facility data was linked to the participant's hospital visit. Main outcome measures were malaria diagnostic and treatment practices. RESULTS: Of the 857 children enrolled, 820 (95.7%) had a malaria diagnostic test done and 623 (76.0%) tested positive for malaria. All test positive children received anti-malarial treatment, however, only 424/623 (68.1%) received the recommended anti-malarial drug and 376/424 (88.7%) received the right dose of the treatment. Inappropriate diagnosis/treatment was in 321 (37.5%) of the enrolled participants. Factors associated with inappropriate diagnosis/treatment included: lack of recommended anti-malarials on the day of the visit (Prevalence Ratio [PR] = 2.1, 95% confidence interval [CI] 1.8-2.4), hospital where care was sought (PR = 0.4, 95% CI 0.3-0.5), being managed by a recently supervised health worker (PR = 0.5, 95% CI 0.2-0.9), and health worker cadre (PR = 0.8, 95% CI 0.7-0.9). CONCLUSION: The prevalence of inappropriate malaria diagnosis and treatment in the Karamoja sub-region was high with approximately one in every three children receiving inappropriate care. This was majorly influenced by health system factors, which if improved upon may reduce malaria-related mortalities in the sub-region a vital step in meeting the country's target of zero deaths from malaria by 2030.

Investigation of COVID-19 outbreak at a refugee transit centre, Kisoro District, Uganda, June-July 2022.

Due to conflict in the Democratic Republic of Congo (DRC), approximately 34,000 persons arrived at Nyakabande Transit Centre (NTC) between March and June 2022. On June 12, 2022, Kisoro District reported >330 cases of COVID-19 among NTC residents. We investigated the outbreak to assess its magnitude, identify risk factors, and recommend control measures. We defined a confirmed case as a positive SARS-CoV-2 antigen test in an NTC resident during March 1-June 30, 2022. We generated a line list through medical record reviews and interviews with residents and health workers. We assessed the setting to understand possible infection mechanisms. In a case-control study, we compared exposures between cases (persons staying ≥5 days at NTC between June 26 and July 16, 2022, with a negative COVID-19 test at NTC entry and a positive test at exit) and unmatched controls (persons with a negative COVID-19 test at both entry and exit who stayed ≥5 days at NTC during the same period). We used multivariable logistic regression to identify factors associated with contracting COVID-19. Among 380 case-persons, 206 (54.2%) were male, with a mean age of 19.3 years (SD = 12.6); none died. The attack rate was higher among exiting persons (3.8%) than entering persons (0.6%) (p<0.01). Among 42 cases and 127 controls, close contact with symptomatic persons (aOR = 9.6; 95%CI = 3.1-30) increased the odds of infection; using a facemask (aOR = 0.06; 95% CI = 0.02-0.17) was protective. We observed overcrowding in shelters, poor ventilation, and most refugees not wearing face masks. The COVID-19 outbreak at NTC was facilitated by overcrowding and suboptimal use of facemasks. Enforcing facemask use and expanding shelter space could reduce the risk of future outbreaks. The collaborative efforts resulted in successful health sensitization and expanding the distribution of facemasks and shelter space. Promoting facemask use through refugee-led efforts is a viable strategy.

The Role of Community Beliefs and Practices on the Spread of Ebola in Uganda, September 2022.

BACKGROUND: On September 20, 2022, Uganda declared an Sudan Virus Disease (SVD) outbreak in Mubende District. Another eight districts were infected September-November 2022. We examined how Ugandan community beliefs and practices spread Sudan Ebola Virus (SUDV) in 2022. METHODS: A qualitative study was conducted in Mubende, Kassanda, and Kyegegwa districts in February 2023. Nine focus group discussions and six key informant interviews were held. We investigated whether community beliefs and practices contributed to spreading Sudan Ebola Virus (SUDV). Interviews were recorded, translated, transcribed, and thematically analyzed. RESULTS: The community deaths, later found to be due to Sudan Virus Disease(SVD), were often attributed to witchcraft or poisoning. Key informants reported that SVD patients often sought traditional healers or spiritual leaders before or after formal healthcare failed. They also found that traditional healers treated SVD patients without precautions. Religious leaders praying for SVD patients and their symptomatic contacts, SVD patients hiding in friends' homes, and exhuming SVD patients from safe and dignified burials to allow traditional burials were other themes. CONCLUSION: Diversity in community beliefs and culture likely contributed to spreading the 2022 Ugandan SVD outbreak. Public health systems, traditional healers, and religious leaders can help Uganda control ebolavirus outbreaks by identifying socially acceptable and scientifically supported infection control methods.

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.

Mortality rate and associated factors among patients co-infected with drug resistant tuberculosis/HIV at Mulago National Referral Hospital, Uganda, a retrospective cohort study.

Drug resistant tuberculosis (DR-TB)/HIV co-infection remains a growing threat to public health and threatens global TB and HIV prevention and care programs. HIV is likely to worsen the outcomes of DR-TB and DR-TB is likely to worsen the outcomes of HIV despite the scale up of TB and HIV services and advances in treatment and diagnosis. This study determined the mortality rate and factors associated with mortality among persons on treatment co-infected with drug resistant TB and HIV at Mulago National Referral Hospital. We retrospectively reviewed data of 390 persons on treatment that had a DR-TB/HIV co-infection in Mulago National Referral Hospital from January 2014 to December 2019.Modified poisson regression with robust standard errors was used to determine relationships between the independent variables and the dependent variable (mortality) at bivariate and multivariate analysis. Of the 390 participants enrolled, 201(53.9%) were males with a mean age of 34.6 (±10.6) and 129 (33.2%,95% CI = 28.7-38.1%) died. Antiretroviral therapy(ART) initiation (aIRR 0.74, 95% CI = 0.69-0.79), having a body mass index (BMI)≥18.5Kg/m2 (aIRR 1.01, 95% CI = 1.03-1.17), having a documented client phone contact (aIRR 0.85, 95% CI = 0.76-0.97), having a mid-upper arm circumference,(MUAC) ≥18.5cm (aIRR 0.90, 95% CI = 0.82-0.99), being on first and second line ART regimen (aIRR 0.83, 95% CI = 0.77-0.89),having a known viral load (aIRR 1.09, 95% CI = 1.00-1.21) and having an adverse event during the course of treatment (aIRR 0.88, 95% CI = 0.83-0.93) were protective against mortality. There was a significantly high mortality rate due to DR-TB/HIV co-infection. These results suggest that initiation of all persons living with HIV/AIDS (PLWHA) with DR-TB on ART and frequent monitoring of adverse drug events highly reduces mortality.

Optimal utilization of prevention of mother-to-child transmission of HIV services among adolescents under group versus focused antenatal care in Eastern Uganda.

BACKGROUND: Group antenatal care (G-ANC), an alternative to focused ANC (F-ANC), involves grouping mothers by gestational and maternal age. In high-income countries, G-ANC has been associated with improved utilization of health care services like Prevention of Mother to Child Transmission (PMTCT) of HIV services. Some low-resource countries with poor utilization of health care services have piloted G-ANC. However, there is limited evidence of its efficiency. We, therefore, compared G-ANC versus F-ANC with regards to optimal utilization of PMTCT of HIV services and assessed associated factors thereof among adolescent mothers in eastern Uganda. We defined optimal utilization of PMTCT of HIV services as the adolescent being up to date with HIV counseling and testing. If found HIV negative, subsequent timely re-testing. If found HIV positive, initiation of antiretroviral therapy (ART) under option B plus for the mother. While for the infant, it entailed safe delivery, testing, feeding, and appropriate HIV chemotherapy. METHODS: From February to April 2020, we conducted a cross-sectional study among 528 adolescent mothers in four sites in eastern Uganda. We assessed the optimal utilization of PMTCT of HIV services among adolescent mothers that had attended G-ANC versus F-ANC at the post-natal care or immunization clinics. We also assessed the factors associated with optimal utilization of PMTCT of HIV services among these mothers. RESULTS: Optimal utilization of PMTCT was higher among those in G-ANC than in F-ANC (74.7% vs 41.2, p-0.0162). There was a statistically significant association between having attended G-ANC and optimal utilization of PMTCT [PR = 1.080, 95%CI (1.067-1.093)]. Other factors independently associated with optimal utilization were; having a partner that tested for HIV [PR = 1.075, 95%CI (1.048-1.103)], trimester of first ANC visit: second trimester [PR = 0.929, 95%CI (0.902-0.957)] and third trimester [PR = 0.725, 95%CI (0.616-0.853)], and the health facility attended: Bugembe HCIV [PR = 1.126, 95%CI (1.113-1.139)] and Jinja regional referral hospital [PR = 0.851, 95%CI (0.841-0.861]. CONCLUSIONS: Adolescent mothers under G-ANC had significantly higher optimal utilization of PMTCT of HIV services compared to those under F-ANC. We recommend that the Ministry of Health considers widely implementing G-ANC, especially for adolescent mothers.