Browsing by Author "Kadobera, Daniel"
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Item Acute Metam Sodium Poisoning Caused by Occupational Exposure at a Flower Farm — Uganda, October 2016(Morbidity and Mortality Weekly Report, 2018) Nakubulwa, Susan; Kusiima, Joy; Kadobera, Daniel; Mutyoba, Joan N.; Ario, Alex R.; Zhu, Bao-PingOn October 25, 2016, media reports alerted the Uganda Ministry of Health to an outbreak of >80 cases of vomiting, syncope, and acute diarrhea among workers at a flower farm in central Uganda; 27 workers were hospitalized. On November 1, an investigation was undertaken by the Uganda Public Health Fellowship Program.* A case-control study found that working inside greenhouse 7, which had been fumigated with the organosulfur compound metam sodium the night of October 13, was strongly associated with illness. Employees who worked in this greenhouse during October 14–21 reported a strong “suffocating” smell in the greenhouse. Investigation revealed that, in violation of safety protocols, workers did not properly cover the soil after fumigation, allowing vapors to become trapped inside the greenhouseItem Comparative epidemiologic analysis of COVID-19 patients during the first and second waves of COVID-19 in Uganda(IJID Regions, 2022) Elayeete, Sarah; Nampeera, Rose; Nsubuga, Edirisa J.; Nansikombi, Hildah T.; Kwesiga, Benon; Kadobera, Daniel; Amanya, Geofrey; Ajambo, Miriam; Mwanje, Wilbrod; Riolexus, Alex A.; Harris, Julie R.Introduction: Uganda was affected by two major waves of coronavirus disease 2019 (COVID-19). The first wave during late 2020 and the second wave in late April 2021. This study compared epidemiologic characteristics of hospitalized (HP) and non-hospitalized patients (NHP) with COVID-19 during the two waves of COVID-19 in Uganda. Methods: Wave 1 was defined as November–December 2020, and Wave 2 was defined as April–June 2021. In total, 800 patients were included in this study. Medical record data were collected for HP (200 for each wave). Contact information was retrieved for NHP who had polymerase-chain-reaction-confirmed COVID-19 (200 for each wave) from laboratory records; these patients were interviewed by telephone. Findings: A higher proportion of HP were male in Wave 1 compared with Wave 2 (73% vs 54%; P = 0.0001). More HP had severe disease or died in Wave 2 compared with Wave 1 (65% vs 31%; P < 0.0001). NHP in Wave 2 were younger than those in Wave 1, but this difference was not significant (mean age 29 vs 36 years; P = 0.13). HP were significantly older than NHP in Wave 2 (mean age 48 vs 29 years; P < 0.0001), but not Wave 1 (mean age 48 vs 43 years; P = 0.31). Interpretation: Demographic and epidemiologic characteristics of HP and NHP differed between and within Waves 1 and 2 of COVID-19 in Uganda.Item Cross border population movements across three East African states: Implications for disease surveillance and response(Public Library of Science, 2024-10) King, Patrick; Wanyana, Mercy Wendy; Mayinja, Harriet; Nakafeero Simbwa, Brenda; Zalwango, Marie Gorreti; Owens Kobusinge, Joyce; Migisha, Richard; Kadobera, Daniel; Kwesiga, Benon; Et.alThe frequent population movement across the five East African Countries poses risk of disease spread in the region. A clear understanding of population movement patterns is critical for informing cross-border disease control interventions. We assessed population mobility patterns across the borders of the East African states of Kenya, Uganda, and Rwanda. In November 2022, we conducted Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and participatory mapping. Participants were selected using purposive sampling and a topic guide used during interviews. Key informants included border districts (Uganda and Rwanda) and county health officials (Kenya). FGD participants were identified from border communities and travellers and these included truck drivers, commercial motorcyclists, and businesspersons. During KIIs and FGDs, we conducted participatory mapping using Population Connectivity Across Borders toolkits. Data were analysed using thematic analysis approach using Atlas ti 7 software. Different age groups travelled across borders for various reasons. Younger age groups travelled across the border for education, trade, social reasons, employment opportunities, agriculture and mining. While older age groups mainly travelled for healthcare and social reasons. Other common reasons for crossing the borders included religious and cultural matters. Respondents reported seasonal variations in the volume of travellers. Respondents reported using both official (4 Kenya-Uganda, 5 Rwanda-Uganda borders) and unofficial Points of Entry (PoEs) (14 Kenya-Uganda, 20 Uganda-Rwanda) for exit and entry movements on borders. Unofficial PoEs were preferred because they had fewer restrictions like the absence of health screening, and immigration and customs checks. Key destination points (points of interest) included: markets, health facilities, places of worship, education institutions, recreational facilities and business towns. Twenty-eight health facilities (10- Lwakhakha, Uganda, 10- Lwakhakha, Kenya, and 8- Cyanika, Uganda) along the borders were the most commonly visited by the travellers and border communities. Complex population movement and connectivity patterns were identified along the borders. These were used to guide cross-border disease surveillance and other border health strategies in the three countries. Findings were used to revise district response and preparedness plans by strengthening community-based surveillance in border communities. PubMedItem Cross border population movements across three East African states: Implications for disease surveillance and response(PLOS Glob Public Health, 2024) Patrick, King; Wanyana, Mercy Wendy; Mayinja, Harriet; Simbwa, Brenda Nakafeero; Zalwango, Marie Gorreti; Kobusinge, Joyce Owens; Migisha, Richard; Kadobera, Daniel; Kwesiga, Benon; Bulage, Lilian; Doreen, Gonahasa; Ahabwe, Babigumira Peter; Nchoko, Serah; Edna, Salat; Waithaka, Freshia; Gunya, Oscar; Odhiambo, Fredrick; Mutabazi, Vincent; Habimana, Metuschelah; Twagirimana, Gabriel; Ndabarinze, Ezechiel; Manishimwe, Alexis; Itiakorit, Harriet; Samuel, Kadivani; Katy, Seib; Ellen, Whitney; Alex, Riolexus ArioThe frequent population movement across the five East African Countries poses risk of disease spread in the region. A clear understanding of population movement patterns is critical for informing cross-border disease control interventions. We assessed population mobility patterns across the borders of the East African states of Kenya, Uganda, and Rwanda. In November 2022, we conducted Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and participatory mapping. Participants were selected using purposive sampling and a topic guide used during interviews. Key informants included border districts (Uganda and Rwanda) and county health officials (Kenya). FGD participants were identified from border communities and travellers and these included truck drivers, commercial motorcyclists, and businesspersons. During KIIs and FGDs, we conducted participatory mapping using Population Connectivity Across Borders toolkits. Data were analysed using thematic analysis approach using Atlas ti 7 software. Different age groups travelled across borders for various reasons. Younger age groups travelled across the border for education, trade, social reasons, employment opportunities, agriculture and mining. While older age groups mainly travelled for healthcare and social reasons. Other common reasons for crossing the borders included religious and cultural matters. Respondents reported seasonal variations in the volume of travellers. Respondents reported using both official (4 Kenya-Uganda, 5 Rwanda-Uganda borders) and unofficial Points of Entry (PoEs) (14 Kenya-Uganda, 20 Uganda-Rwanda) for exit and entry movements on borders. Unofficial PoEs were preferred because they had fewer restrictions like the absence of health screening, and immigration and customs checks. Key destination points (points of interest) included: markets, health facilities, places of worship, education institutions, recreational facilities and business towns. Twenty-eight health facilities (10- Lwakhakha, Uganda, 10- Lwakhakha, Kenya, and 8- Cyanika, Uganda) along the borders were the most commonly visited by the travellers and border communities. Complex population movement and connectivity patterns were identified along the borders. These were used to guide cross-border disease surveillance and other border health strategies in the three countries. Findings were used to revise district response and preparedness plans by strengthening community-based surveillance in border communities.Item Cutaneous anthrax associated with handling carcasses of animals that died suddenly of unknown cause: Arua District, Uganda, January 2015–August 2017(PLoS Neglected Tropical Diseases, 2021) Loy Aceng, Freda; Riolexus Ario, Alex; Alitubeera, Phoebe Hilda; Matinda Neckyon, Mukasa; Kadobera, Daniel; Sekamatte, Musa; Okethwangu, Denis; Bulage, Lilian; Harris, Julie R.; Nguma, Willy; Birungi Ndumu, Deo; Buule, Joshua; Nyakarahuka, Luke; Zhu, Bao-PingAnthrax is a zoonotic disease that can be transmitted to humans from infected animals. During May–June 2017, three persons with probable cutaneous anthrax were reported in Arua District, Uganda; one died. All had recently handled carcasses of livestock that died suddenly and a skin lesion from a deceased person tested positive by PCR for Bacillus anthracis. During July, a bull in the same community died suddenly and the blood sample tested positive by PCR for Bacillus anthracis. The aim of this investigation was to establish the scope of the problem, identify exposures associated with illness, and recommend evidencebased control measures. Methods A probable case was defined as acute onset of a papulo-vesicular skin lesion subsequently forming an eschar in a resident of Arua District during January 2015–August 2017. A confirmed case was a probable case with a skin sample testing positive by polymerase chain reaction (PCR) for B. anthracis. Cases were identified by medical record review and active community search. In a case-control study, exposures between case-patients and frequency- and village-matched asymptomatic controls were compared. Key animal health staff were interviewed to learn about livestock deaths. Results There were 68 case-patients (67 probable, 1 confirmed), and 2 deaths identified. Cases occurred throughout the three-year period, peaking during dry seasons. All cases occurred following sudden livestock deaths in the villages. Case-patients came from two neighboring sub-counties: Rigbo (attack rate (AR) = 21.9/10,000 population) and Rhino Camp (AR = 1.9/ 10,000). Males (AR = 24.9/10,000) were more affected than females (AR = 0.7/10,000). Persons aged 30–39 years (AR = 40.1/10,000 population) were most affected. Among all cases and 136 controls, skinning (ORM-H = 5.0, 95%CI: 2.3–11), butchering (ORM-H = 22, 95%CI: 5.5–89), and carrying the carcass of livestock that died suddenly (ORM-H = 6.9, 95% CI: 3.0–16) were associated with illness. Conclusions Exposure to carcasses of animals that died suddenly was a likely risk factor for cutaneous anthrax in Arua District during 2015–2017. The recommendations are investigation of anthrax burden in livestock, prevention of animal infections through vaccinations, safe disposal of the carcasses, public education on risk factors for infection and prompt treatment of illness following exposure to animals that died suddenly.Item Early cases of SARS-CoV-2 infection in Uganda: epidemiology and lessons learned from risk-based testing approaches – March-April 2020(Globalization and Health, 2020) Migisha, Richard; Kwesiga, Benon; Mirembe, Bernadette B.; Amanya, Geofrey; Kabwama, Steven N.; Kadobera, Daniel; Bulage, Lilian; Nsereko, Godfrey; Wadunde, Ignatius; Tindyebwa, Tonny; Lubwama, Bernard; Kagirita, Atek A.; Kayiwa, John T.; Lutwama, Julius J.; Boore, Amy L.; Harris, Julie R.; Kyobe Bosa, HenryOn March 13, 2020, Uganda instituted COVID-19 symptom screening at its international airport, isolation and SARS-CoV-2 testing for symptomatic persons, and mandatory 14-day quarantine and testing of persons traveling through or from high-risk countries. On March 21, 2020, Uganda reported its first SARS-CoV-2 infection in a symptomatic traveler from Dubai. By April 12, 2020, 54 cases and 1257 contacts were identified. We describe the epidemiological, clinical, and transmission characteristics of these cases. Methods: A confirmed case was laboratory-confirmed SARS-CoV-2 infection during March 21–April 12, 2020 in a resident of or traveler to Uganda. We reviewed case-person files and interviewed case-persons at isolation centers. We identified infected contacts from contact tracing records. Results: Mean case-person age was 35 (±16) years; 34 (63%) were male. Forty-five (83%) had recently traveled internationally (‘imported cases’), five (9.3%) were known contacts of travelers, and four (7.4%) were community cases. Of the 45 imported cases, only one (2.2%) was symptomatic at entry. Among all case-persons, 29 (54%) were symptomatic at testing and five (9.3%) were pre-symptomatic. Among the 34 (63%) case-persons who were ever symptomatic, all had mild disease: 16 (47%) had fever, 13 (38%) reported headache, and 10 (29%) reported cough. Fifteen (28%) case-persons had underlying conditions, including three persons with HIV. An average of 31 contacts (range, 4–130) were identified per case-person. Five (10%) case-persons, all symptomatic, infected one contact each. Conclusion: The first 54 case-persons with SARS-CoV-2 infection in Uganda primarily comprised incoming air travelers with asymptomatic or mild disease. Disease would likely not have been detected in these persons without the targeted testing interventions implemented in Uganda. Transmission was low among symptomatic persons and nonexistent from asymptomatic persons. Routine, systematic screening of travelers and at-risk persons, and thorough contact tracing will be needed for Uganda to maintain epidemic controlItem Ebola disease outbreak caused by the Sudan virus in Uganda, 2022: a descriptive epidemiological study(Elsevier Ltd, 2024-10) Ario, Alex R; Ahirirwe, Sherry R; Ocero, Jane R Aceng; Atwine, Diana; Muruta, Allan N; Kagirita, Atek; Tegegn, Yonas; Kadobera, Daniel; Kwesiga, Benon; Gidudu, Samuel; Migisha, Richard; Makumbi, Issa; Elyanu, Peter J; Ndyabakira, Alex; Et.alUganda has had seven Ebola disease outbreaks, between 2000 and 2022. On Sept 20, 2022, the Ministry of Health declared a Sudan virus disease outbreak in Mubende District, Central Uganda. We describe the epidemiological characteristics and transmission dynamics.BACKGROUNDUganda has had seven Ebola disease outbreaks, between 2000 and 2022. On Sept 20, 2022, the Ministry of Health declared a Sudan virus disease outbreak in Mubende District, Central Uganda. We describe the epidemiological characteristics and transmission dynamics.For this descriptive study, cases were classified as suspected, probable, or confirmed using Ministry of Health case definitions. We investigated all reported cases to obtain data on case-patient demographics, exposures, and signs and symptoms, and identified transmission chains. We conducted a descriptive epidemiological study and also calculated basic reproduction number (Ro) estimates.METHODSFor this descriptive study, cases were classified as suspected, probable, or confirmed using Ministry of Health case definitions. We investigated all reported cases to obtain data on case-patient demographics, exposures, and signs and symptoms, and identified transmission chains. We conducted a descriptive epidemiological study and also calculated basic reproduction number (Ro) estimates.Between Aug 8 and Nov 27, 2022, 164 cases (142 confirmed, 22 probable) were identified from nine (6%) of 146 districts. The median age was 29 years (IQR 20-38), 95 (58%) of 164 patients were male, and 77 (47%) patients died. Symptom onsets ranged from Aug 8 to Nov 27, 2022. The case fatality rate was highest in children younger than 10 years (17 [74%] of 23 patients). Fever (135 [84%] of 160 patients), vomiting (93 [58%] patients), weakness (89 [56%] patients), and diarrhoea (81 [51%] patients) were the most common symptoms; bleeding was uncommon (21 [13%] patients). Before outbreak identification, most case-patients (26 [60%] of 43 patients) sought care at private health facilities. The median incubation was 6 days (IQR 5-8), and median time from onset to death was 10 days (7-23). Most early cases represented health-care-associated transmission (43 [26%] of 164 patients); most later cases represented household transmission (109 [66%]). Overall Ro was 1·25.FINDINGSBetween Aug 8 and Nov 27, 2022, 164 cases (142 confirmed, 22 probable) were identified from nine (6%) of 146 districts. The median age was 29 years (IQR 20-38), 95 (58%) of 164 patients were male, and 77 (47%) patients died. Symptom onsets ranged from Aug 8 to Nov 27, 2022. The case fatality rate was highest in children younger than 10 years (17 [74%] of 23 patients). Fever (135 [84%] of 160 patients), vomiting (93 [58%] patients), weakness (89 [56%] patients), and diarrhoea (81 [51%] patients) were the most common symptoms; bleeding was uncommon (21 [13%] patients). Before outbreak identification, most case-patients (26 [60%] of 43 patients) sought care at private health facilities. The median incubation was 6 days (IQR 5-8), and median time from onset to death was 10 days (7-23). Most early cases represented health-care-associated transmission (43 [26%] of 164 patients); most later cases represented household transmission (109 [66%]). Overall Ro was 1·25.Despite delayed detection, the 2022 Sudan virus disease outbreak was rapidly controlled, possibly thanks to a low Ro. Children (aged <10 years) were at the highest risk of death, highlighting the need for targeted interventions to improve their outcomes during Ebola disease outbreaks. Initial care-seeking occurred at facilities outside the government system, showing a need to ensure that private and public facilities receive training to identify possible Ebola disease cases during an outbreak. Health-care-associated transmission in private health facilities drove the early outbreak, suggesting gaps in infection prevention and control.INTERPRETATIONDespite delayed detection, the 2022 Sudan virus disease outbreak was rapidly controlled, possibly thanks to a low Ro. Children (aged <10 years) were at the highest risk of death, highlighting the need for targeted interventions to improve their outcomes during Ebola disease outbreaks. Initial care-seeking occurred at facilities outside the government system, showing a need to ensure that private and public facilities receive training to identify possible Ebola disease cases during an outbreak. Health-care-associated transmission in private health facilities drove the early outbreak, suggesting gaps in infection prevention and control.None.FUNDINGNone. MEDLINE - AcademicItem Effect of seasonal malaria chemoprevention on incidence of malaria among children under five years in Kotido and Moroto Districts, Uganda, 2021: time series analysis(Malaria Journal, 2024-12-18) Kwiringira, Andrew; Kwesiga, Benon; Kadobera, Daniel; Ario, Alex R.; Ssempiira, JuliusSeasonal malaria chemoprevention (SMC) refers to monthly administration of full treatment courses of anti-malarial medicine to children <5 years during high malaria transmission seasons. SMC has demonstrated effectiveness in Sahel and sub-Sahel countries in Africa. However, it was not implemented in Uganda until April 2021, when the country began SMC in the highly malaria-endemic Kotido and Moroto Districts. This study assessed the effect of SMC on malaria incidence among children <5 years of age in Kotido and Moroto Districts.Item Factors associated with acute watery diarrhea among children aged 0–59 months in Obongi District, Uganda, April 2022: A case–control study(Elsevier Ltd, 2024-04) Juniour Nsubuga, Edirisa; Kirabo, Jireh; Kwiringira, Andrew; Andaku, Linus; Magona Nerima, Saharu; Nsubuga, Fred; Nakazzi, Rashida; Kwesiga, Benon; Bulage, Lilian; Kadobera, Daniel; Edward Okello, Paul; Riolexus Ario, AlexAbstract • Poor caregiver hand hygiene linked to acute watery diarrhea in children. • Source of water in a home was associated with acute watery diarrhea in children. • Rotavirus vaccination only, not enough to prevent acute watery diarrhea in children. • Educate communities on handwashing at critical times, using clean water & soap. • Stresses need for treated pipped/tap water in every household.Item Factors Associated with Utilisation of Couple HIV Counselling and Testing Among HIV‑Positive Adults in Kyoga Fishing Community Uganda, May 2017: Cross Sectional Study(AIDS and behavior, 2017) Nakiire, Lydia; Kabwama, Steven; Majwala, Robert; Bbale, Joy Kusiima; Makumbi, Issa; Kalyango, Joan; Kihembo, Christine; Masiira, Ben; Bulage, Lilian; Kadobera, Daniel; Ario, Alex Riolexus; Nsubuga, PeterCouple HIV counseling and testing (CHCT) is key in preventing heterosexual HIV transmission and achievement of 90-90-90 UNAIDS treatment targets by 2020. We conducted secondary data analysis to assess utilization of CHCT and associated factors using logistic regression. 58/134 participants (49%) had ever utilized CHCT. Disclosure of individual HIV results to a partner [aOR = 16; 95% CI: (3.6–67)], residence for > 1 < 5 years [aOR = 0.04; 95% CI (0.005–0.33)], and none mobility [aOR = 3.6; 95% CI (1.1–12)] were significantly associated with CHCT. Age modified relationship between CHCT and disclosure (Likelihood-ratio test LR chi2 = 4.2 (p value = 0.041). Disclosure of individual HIV results with a partner and residence for more than 1 year improved utilization of CHCT; mobility reduced the odds of CHCT. Interventions should target prior discussion of individual HIV results among couples and mobile populations to increase CHCT.Item Factors Associated with Utilisation of Couple HIV Counselling and Testing Among HIV‑Positive Adults in Kyoga Fishing Community Uganda, May 2017: Cross Sectional Study(AIDS and behavior, 2020) Nakiire, Lydia; Kabwama, Steven; Majwala, Robert; Kusiima Bbale, Joy; Makumbi, Issa; Kalyango, Joan; Kihembo, Christine; Masiira, Ben; Bulage, Lilian; Kadobera, Daniel; Riolexus Ario, Alex; Nsubuga, Peter; Wanyenze, RhodaCouple HIV counseling and testing (CHCT) is key in preventing heterosexual HIV transmission and achievement of 90-90- 90 UNAIDS treatment targets by 2020. We conducted secondary data analysis to assess utilization of CHCT and associated factors using logistic regression. 58/134 participants (49%) had ever utilized CHCT. Disclosure of individual HIV results to a partner [aOR = 16; 95% CI: (3.6–67)], residence for > 1 < 5 years [aOR = 0.04; 95% CI (0.005–0.33)], and none mobility [aOR = 3.6; 95% CI (1.1–12)] were significantly associated with CHCT. Age modified relationship between CHCT and disclosure (Likelihood-ratio test LR chi2 = 4.2 (p value = 0.041). Disclosure of individual HIV results with a partner and residence for more than 1 year improved utilization of CHCT; mobility reduced the odds of CHCT. Interventions should target prior discussion of individual HIV results among couples and mobile populations to increase CHCT.Item Fatal Rift Valley Fever Outbreak Caused By Exposure To Meat FromSick And Dead Livestock: Uganda, July 2018(Research Square, 2021) Mirembe, Bernadette B; Ario, Alex R.; Birungi, Doreen; Bulage, Lilian; Kisaakye, Esther; Kwesiga, Benon; Kabwama, Steven N.; Muwanguzi, David; Kadobera, Daniel; Balinandi, Steven; Birungi, Deo N.Page2/12AbstractBackground: Rift Valley Fever (RVF) is a viral hemorrhagic fever that can be fatal to humans and livestock. During June-October 2018,reported RVF cases increased sharply in eight western and central Ugandan districts. We investigated to identify the scope of theoutbreak, determine risk factors, and recommend control measures.Methods: We deItem Increased Use of Community Medicine Distributors and Rational Use of Drugs in Children Less than Five Years of Age in Uganda Caused by Integrated Community Case Management of Fever(The American journal of tropical medicine and hygiene, 2012) Kalyango, Joan N.; Lindstrand, Ann; Rutebemberwa, Elizeus; Ssali, Sarah; Kadobera, Daniel; Karamagi, Charles; Peterson, Stefan; Alfven, TobiasWe compared use of community medicine distributors (CMDs) and drug use under integrated community case management and home-based management strategies in children 6–59 months of age in eastern Uganda. A crosssectional study with 1,095 children was nested in a cluster randomized trial with integrated community case management (CMDs treating malaria and pneumonia) as the intervention and home-based management (CMDs treating only malaria) as the control. Care-seeking from CMDs was higher in intervention areas (31%) than in control areas (22%; P = 0.01). Prompt and appropriate treatment of malaria was higher in intervention areas (18%) than in control areas (12%; P = 0.03) and among CMD users (37%) than other health providers (9%). The mean number of drugs among CMD users compared with other health providers was 1.6 versus 2.4 in intervention areas and 1.4 versus 2.3 in control areas. Use of CMDs was low. However, integrated community case management of childhood illnesses increased use of CMDs and rational drug use.Item Increasing trend in all–cause mortality at Regional Referral Hospitals in Uganda during the COVID–19 pandemic (2020–2021)(Quarterly Epidemiological, 2022-11-18) Ahirirwe, Sherry Rita; Kwiringira, Andrew; Kwesiga, Benon; Bulage, Lilian; Kadobera, Daniel; Ario, Alex RiolexusTesting limitations and inadequate mortality surveillance systems complicate the analysis of data on the true burden of deaths associated with pandemics. One solution is to calculate excess mortality (EM). We described temporal trends in all–cause mortality at regional referral hospitals (RRHs) in Uganda and estimated EM during two years of the COVID19 pandemic compared with five years of historical data (2015–2019).Item Individual and household risk factors for COVID-19 infection among household members of COVID-19 patients in home-based care in western Uganda, 2020(IJID Regions, 2022) Amanya, Geofrey; Elyanu, Peter; Kadobera, Daniel; Riolexus, Alex A.; Harris, Julie R.; Mugisha, RichardTo investigate factors associated with COVID-19 among household members of patients in home-based care (HBC) in western Uganda. Methods: We conducted a case-control and cohort study. Cases were RT-PCR-confirmed SARS-CoV-2 diagnosed 1-30 November 2020 among persons in HBC in Kasese or Kabarole Districts. We compared 78 case-households (≥1 secondary case) to 59 control-households (no secondary cases). The cohort included all case-household members. Data were captured by in-person questionnaire. We regressed to calculate odds and risk ratios. Results: Case-households were larger than control-households (mean 5.8 vs 4.3 members, p<0.0001). Having ≥1 household member per room (aOR=4.5, 95%CI 2.0-9.9) or symptom development (aOR=2.3, 95%CI 1.1-5.0), interaction (aOR=4.6, 95%CI 1.4-14.7) with primary case-patient increased odds of case-household status. Households assessed for suitability for HBC reduced odds of case-household status (aOR=0.4, 95%CI=0.2-0.8). Interacting with primary case-patient (aRR=1.7, 95%CI 1.1-2.8) increased the risk of individual infection among household members. Conclusion: Household and individual factors influence secondary infection risk in HBC. Decisions about HBC should be made with these in mindItem Investigation of Marburg Virus Disease Outbreak in Kween District, Eastern Uganda, 2017(PLoS neglected tropical diseases, 2019) Ario, Alex Riolexus; Makumbi, Issa; Nkonwa, Innocent Herbert; Eyu, Patricia; Opio, Denis Nixon; Nakiire, Lydia; Kwesiga, Benon; Kadobera, Daniel; Tusiime, Patrick; Bulage, Lilian; Zhu, Bao-Ping; Aceng, Jane RuthIn October 2017, a blood sample from a resident of Kween District, Eastern Uganda, tested positive for Marburg virus. Within 24 hour of confirmation, a rapid outbreak response was initiated. Here, we present results of epidemiological and laboratory investigations.A district task force was activated consisting of specialised teams to conduct case finding, case management and isolation, contact listing and follow up, sample collection and testing, and community engagement. An ecological investigation was also carried out to identify the potential source of infection. Virus isolation and Next Generation sequencing were performed to identify the strain of Marburg virus.Seventy individuals (34 MVD suspected cases and 36 close contacts of confirmed cases) were epidemiologically investigated, with blood samples tested for MVD. Only four cases met the MVD case definition; one was categorized as a probable case while the other three were confirmed cases. A total of 299 contacts were identified; during follow- up, two were confirmed as MVD. Of the four confirmed and probable MVD cases, three died, yielding a case fatality rate of 75%. All four cases belonged to a single family and 50% (2/4) of the MVD cases were female. All confirmed cases had clinical symptoms of fever, vomiting, abdominal pain and bleeding from body orifices. Viral sequences indicated that the Marburg virus strain responsible for this outbreak was closely related to virus strains previously shown to be circulating in Uganda.This outbreak of MVD occurred as a family cluster with no additional transmission outside of the four related cases. Rapid case detection, prompt laboratory testing at the Uganda National VHF Reference Laboratory and presence of pre-trained, well-prepared national and district rapid response teams facilitated the containment and control of this outbreak within one month, preventing nationwide and global transmission of the disease.Item Large outbreak of Jimsonweed (Datura stramonium) poisoning due to consumption of contaminated humanitarian relief food: Uganda, March–April 2019(BMC public health, 2022) Mutebi, Ronald R.; Ario, Alex R.; Nabatanzi, Maureen; Kyamwine, Irene B.; Wibabara, Yvette; Muwereza, Peter; Eurien, Daniel; Kwesiga, Benon; Bulage, Lilian; Kabwama, Steven N.; Kadobera, Daniel; Henderson, Alden; Callahan, John H.; Croley, Timothy R.; Knolhoff, Ann M.; Mangrum, John B.; Handy, Sara M.; McFarland, Melinda A.; Fong Sam, Jennifer L.; Harris, Julie R.; Zhu, Bao‑PingJimsonweed (Datura stramonium) contains toxic alkaloids that cause gastrointestinal and central nervous system symptoms when ingested. This can be lethal at high doses. The plant may grow together with leguminous crops, mixing with them during harvesting. On 13 March 2019, more than 200 case-patients were admitted to multiple health centres for acute gastrointestinal and neurologic symptoms. We investigated to determine the cause and magnitude of the outbreak and recommended evidence-based control and prevention measures. Methods: We defined a suspected case as sudden onset of confusion, dizziness, convulsions, hallucinations, diarrhoea, or vomiting with no other medically plausible explanations in a resident of Napak or Amudat District from 1 March—30 April 2019. We reviewed medical records and canvassed all villages of the eight affected subcounties to identify cases. In a retrospective cohort study conducted in 17 villages that reported the earliest cases, we interviewed 211 residents about dietary history during 11–15 March. We used modified Poisson regression to assess suspected food exposures. Food samples underwent chemical (heavy metals, chemical contaminants, and toxins), proteomic, DNA, and microbiological testing in one national and three international laboratories. Results: We identified 293 suspected cases; five (1.7%) died. Symptoms included confusion (62%), dizziness (38%), diarrhoea (22%), nausea/vomiting (18%), convulsions (12%), and hallucinations (8%). The outbreak started on 12 March, 2–12 h after Batch X of fortified corn-soy blend (CSB +) was distributed. In the retrospective cohort study, 66% of 134 persons who ate CSB + , compared with 2.2% of 75 who did not developed illness ( RRadj = 22, 95% CI = 6.0–81). Samples of Batch X distributed 11–15 March contained 14 tropane alkaloids, including atropine (25-50 ppm) and scopolamine (1-10 ppm). Proteins of Solanaceae seeds and Jimsonweed DNA were identified. No other significant laboratory findings were observed. Conclusion: This was the largest documented outbreak caused by food contamination with tropane alkaloids. Implicated food was immediately withdrawn. Routine food safety and quality checks could prevent future outbreaks.Item Outbreak of Anthrax Associated with Handling and Eating Meat from a Cow, Uganda, 2018(Emerging Infectious Diseases, 2020) Kisaakye, Esther; Riolexus Ario, Alex; Bainomugisha, Kenneth; Cossaboom, Caitlin M. Ping Zhu; Lowe, David; Bulage, Lilian; Kadobera, Daniel; Sekamatte, Musa; Lubwama, Bernard; Tumusiime, Dan; Tusiime, Patrick; Downing, Robert; Buule, Joshua; Lutwama, Julius; Salzer, Johanna S.; Matkovic, Eduard; Joy Gary, Jana Ritter,; Zhu, Bao-PingOn April 20, 2018, the Kween District Health Office in Kween District, Uganda reported 7 suspected cases of human anthrax. A team from the Uganda Ministry of Health and partners investigated and identified 49 cases, 3 confirmed and 46 suspected; no deaths were reported. Multiple exposures from handling the carcass of a cow that had died suddenly were significantly associated with cutaneous anthrax, whereas eating meat from that cow was associated with gastrointestinal anthrax. Eating undercooked meat was significantly associated with gastrointestinal anthrax, but boiling the meat for >60 minutes was protective. We recommended providing postexposure antimicrobial prophylaxis for all exposed persons, vaccinating healthy livestock in the area, educating farmers to safely dispose of animal carcasses, and avoiding handling or eating meat from livestock that died of unknown causes.Item Ownership and Use of Long-lasting Insecticidal Nets and Factors Associated, Immediately after a Mass Distribution Campaign in Uganda: A Cross-sectional Survey of Fourteen districts(Quarterly Epidemiological, 2021-10-17) Kwiringira, Andrew; Nanziri , Carol; Migamba, Stella Martha; Ahirirwe, Sherry Rita; Kadobera, Daniel; Ario, Alex R.Uganda conducted its third mass Long-Lasting Insecticide-treated Nets (LLIN) distribution campaign in 2021. The target of the campaign was to ensure that 100% households own at least 1 LLIN per 2 persons, and to achieve 85% use of distributed LLINs. We assessed LLIN ownership, use, and associated factors 3 months after the campaign.Item Pneumococcal Carriage in Children under Five Years in Uganda- Will Present Pneumococcal Conjugate Vaccines Be Appropriate?(PLoS ONE, 2016) Lindstrand, Ann; Kalyango, Joan; AlfveÂn, Tobias; Darenberg, Jessica; Kadobera, Daniel; Bwanga, Freddie; Peterson, Stefan; Henriques- Normark, Birgitta; KaÈllander, KarinPneumonia is the major cause of death in children globally, with more than 900,000 deaths annually in children under five years of age. Streptococcus pneumoniae causes most deaths, most often in the form of community acquired pneumonia. Pneumococcal conjugate vaccines (PCVs) are currently being implemented in many low-income countries. PCVs decrease vaccine-type pneumococcal carriage, a prerequisite for invasive pneumococcal disease, and thereby affects pneumococcal disease and transmission. In Uganda, PCV was launched in 2014, but baseline data is lacking for pneumococcal serotypes in carriage. Objectives To study pneumococcal nasopharyngeal carriage and serotype distribution in children under 5 years of age prior to PCV introduction in Uganda Methods Three cross-sectional pneumococcal carriage surveys were conducted in 2008, 2009 and 2011, comprising respectively 150, 587 and 1024 randomly selected children aged less than five years from the Iganga/Mayuge Health and Demographic Surveillance Site. The caretakers were interviewed about illness history of the child and 1723 nasopharyngeal specimens were collected. From these, 927 isolates of S. pneumoniae were serotyped.