Last data update: Dec 02, 2024. (Total: 48272 publications since 2009)
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Molecular characterization of the 2022 Sudan virus disease outbreak in Uganda
Balinandi S , Whitmer S , Mulei S , Nassuna C , Pimundu G , Muyigi T , Kainulainen M , Shedroff E , Krapiunaya I , Scholte F , Nyakarahuka L , Tumusiime A , Kyondo J , Baluku J , Kiconco J , Harris JR , Ario AR , Kagirita A , Bosa HK , Ssewanyana I , Nabadda S , Mwebesa HG , Aceng JR , Atwine D , Lutwama JJ , Shoemaker TR , Montgomery JM , Kaleebu P , Klena JD . J Virol 2023 97 (10) e0059023 Uganda experienced five Ebola disease outbreaks caused by Bundibugyo virus (n = 1) and Sudan virus (SUDV) (n = 4) from 2000 to 2021. On 20 September 2022, Uganda declared a fifth Sudan virus disease outbreak in the Mubende district, resulting in 142 confirmed and 22 probable cases by the end of the outbreak declaration on 11 January 2023. The earliest identified cases, through retrospective case investigations, had onset in early August 2022. From the 142 confirmed cases, we performed unbiased (Illumina) and SUDV-amplicon-specific (Minion) high-throughput sequencing to obtain 120 SUDV genome-and coding-complete sequences, representing 95.4% (104/109) of SVD-confirmed individuals within a sequence-able range (Ct ≤30) and 10 genome sequences outside of this range and 6 duplicate genome sequences. A comparison of the nucleotide genetic relatedness for the newly emerged Mubende variant indicated that it was most closely related to the Nakisamata SUDV sequence from 2011, represented a likely new zoonotic spillover event, and exhibited an inter- and intra-outbreak substitution rate consistent with previous outbreaks. The most recent common ancestor for the Mubende variant was estimated to have occurred in October and November 2021. The Mubende variant glycoprotein amino acid sequences exhibited 99.7% similarity altogether and a maximum of 96.1% glycoprotein similarity compared to historical SUDV strains from 1976. Integrating the genetic sequence and epidemiological data into the response activities generated a broad overview of the outbreak, allowing for quick fact-checking of epidemiological connections between the identified patients. IMPORTANCE Ebola disease (EBOD) is a public health threat with a high case fatality rate. Most EBOD outbreaks have occurred in remote locations, but the 2013-2016 Western Africa outbreak demonstrated how devastating EBOD can be when it reaches an urban population. Here, the 2022 Sudan virus disease (SVD) outbreak in Mubende District, Uganda, is summarized, and the genetic relatedness of the new variant is evaluated. The Mubende variant exhibited 96% amino acid similarity with historic SUDV sequences from the 1970s and a high degree of conservation throughout the outbreak, which was important for ongoing diagnostics and highly promising for future therapy development. Genetic differences between viruses identified during the Mubende SVD outbreak were linked with epidemiological data to better interpret viral spread and contact tracing chains. This methodology should be used to better integrate discrete epidemiological and sequence data for future viral outbreaks. |
Notes from the Field: Outbreak of ebola virus disease caused by sudan ebolavirus - Uganda, August-October 2022
Kiggundu T , Ario AR , Kadobera D , Kwesiga B , Migisha R , Makumbi I , Eurien D , Kabami Z , Kayiwa J , Lubwama B , Okethwangu D , Nabadda S , Bwire G , Mulei S , Harris JR , Dirlikov E , Fitzmaurice AG , Nabatanzi S , Tegegn Y , Muruta AN , Kyabayinze D , Boore AL , Kagirita A , Kyobe-Bosa H , Mwebesa HG , Atwine D , Aceng Ocero JR . MMWR Morb Mortal Wkly Rep 2022 71 (45) 1457-1459 Ebola virus disease (EVD) is a rare and often deadly viral hemorrhagic fever (VHF); four species of Ebola virus (Zaire ebolavirus, Sudan ebolavirus, Taï Forest ebolavirus, and Bundibugyo ebolavirus) cause occasional outbreaks among humans and nonhuman primates* (1). Infection is transmitted through direct contact with infectious blood, body fluids, and animal tissues. Symptoms include fever, abdominal pain, diarrhea, vomiting, generalized body weakness, and hemorrhage. Since 2000, four outbreaks of EVD caused by Sudan ebolavirus have been identified in Uganda; the largest outbreak (in 2000) resulted in 425 cases and 224 (53%) deaths (2,3). No vaccine is available to prevent Sudan ebolavirus infection, and treatment is supportive. The estimated case fatality rate is 55% (4). |
Early cases of SARS-CoV-2 infection in Uganda: epidemiology and lessons learned from risk-based testing approaches - March-April 2020.
Migisha R , Kwesiga B , Mirembe BB , Amanya G , Kabwama SN , Kadobera D , Bulage L , Nsereko G , Wadunde I , Tindyebwa T , Lubwama B , Kagirita AA , Kayiwa JT , Lutwama JJ , Boore AL , Harris JR , Bosa HK , Ario AR . Global Health 2020 16 (1) 114 BACKGROUND: On 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 control. |
New filovirus disease classification and nomenclature.
Kuhn JH , Adachi T , Adhikari NKJ , Arribas JR , Bah IE , Bausch DG , Bhadelia N , Borchert M , Brantsaeter AB , Brett-Major DM , Burgess TH , Chertow DS , Chute CG , Cieslak TJ , Colebunders R , Crozier I , Davey RT , de Clerck H , Delgado R , Evans L , Fallah M , Fischer WA 2nd , Fletcher TE , Fowler RA , Grunewald T , Hall A , Hewlett A , Hoepelman AIM , Houlihan CF , Ippolito G , Jacob ST , Jacobs M , Jakob R , Jacquerioz FA , Kaiser L , Kalil AC , Kamara RF , Kapetshi J , Klenk HD , Kobinger G , Kortepeter MG , Kraft CS , Kratz T , Bosa HSK , Lado M , Lamontagne F , Lane HC , Lobel L , Lutwama J , Lyon GM 3rd , Massaquoi MBF , Massaquoi TA , Mehta AK , Makuma VM , Murthy S , Musoke TS , Muyembe-Tamfum JJ , Nakyeyune P , Nanclares C , Nanyunja M , Nsio-Mbeta J , O'Dempsey T , Paweska JT , Peters CJ , Piot P , Rapp C , Renaud B , Ribner B , Sabeti PC , Schieffelin JS , Slenczka W , Soka MJ , Sprecher A , Strong J , Swanepoel R , Uyeki TM , van Herp M , Vetter P , Wohl DA , Wolf T , Wolz A , Wurie AH , Yoti Z . Nat Rev Microbiol 2019 17 (5) 261-263 The recent large outbreak of Ebola virus disease (EVD) in Western Africa resulted in greatly increased accumulation of human genotypic, phenotypic and clinical data, and improved our understanding of the spectrum of clinical manifestations. As a result, the WHO disease classification of EVD underwent major revision. |
Outbreak of yellow fever in central and southwestern Uganda, February-May 2016
Kwagonza L , Masiira B , Kyobe-Bosa H , Kadobera D , Atuheire EB , Lubwama B , Kagirita A , Katushabe E , Kayiwa JT , Lutwama JJ , Ojwang JC , Makumbi I , Ario AR , Borchert J , Zhu BP . BMC Infect Dis 2018 18 (1) 548 BACKGROUND: On 28 March, 2016, the Ministry of Health received a report on three deaths from an unknown disease characterized by fever, jaundice, and hemorrhage which occurred within a one-month period in the same family in central Uganda. We started an investigation to determine its nature and scope, identify risk factors, and to recommend eventually control measures for future prevention. METHODS: We defined a probable case as onset of unexplained fever plus >/=1 of the following unexplained symptoms: jaundice, unexplained bleeding, or liver function abnormalities. A confirmed case was a probable case with IgM or PCR positivity for yellow fever. We reviewed medical records and conducted active community case-finding. In a case-control study, we compared risk factors between case-patients and asymptomatic control-persons, frequency-matched by age, sex, and village. We used multivariate conditional logistic regression to evaluate risk factors. We also conducted entomological studies and environmental assessments. RESULTS: From February to May, we identified 42 case-persons (35 probable and seven confirmed), of whom 14 (33%) died. The attack rate (AR) was 2.6/100,000 for all affected districts, and highest in Masaka District (AR = 6.0/100,000). Men (AR = 4.0/100,000) were more affected than women (AR = 1.1/100,000) (p = 0.00016). Persons aged 30-39 years (AR = 14/100,000) were the most affected. Only 32 case-patients and 128 controls were used in the case control study. Twenty three case-persons (72%) and 32 control-persons (25%) farmed in swampy areas (ORadj = 7.5; 95%CI = 2.3-24); 20 case-patients (63%) and 32 control-persons (25%) who farmed reported presence of monkeys in agriculture fields (ORadj = 3.1, 95%CI = 1.1-8.6); and 20 case-patients (63%) and 35 control-persons (27%) farmed in forest areas (ORadj = 3.2; 95%CI = 0.93-11). No study participants reported yellow fever vaccination. Sylvatic monkeys and Aedes mosquitoes were identified in the nearby forest areas. CONCLUSION: This yellow fever outbreak was likely sylvatic and transmitted to a susceptible population probably by mosquito bites during farming in forest and swampy areas. A reactive vaccination campaign was conducted in the affected districts after the outbreak. We recommended introduction of yellow fever vaccine into the routine Uganda National Expanded Program on Immunization and enhanced yellow fever surveillance. |
Multidistrict outbreak of Marburg virus disease - Uganda, 2012
Knust B , Schafer IJ , Wamala J , Nyakarahuka L , Okot C , Shoemaker T , Dodd K , Gibbons A , Balinandi S , Tumusiime A , Campbell S , Newman E , Lasry E , DeClerck H , Boum Y , Makumbi I , Bosa HK , Mbonye A , Aceng JR , Nichol ST , Stroher U , Rollin PE . J Infect Dis 2015 212 Suppl 2 S119-28 In October 2012, a cluster of illnesses and deaths was reported in Uganda and was confirmed to be an outbreak of Marburg virus disease (MVD). Patients meeting the case criteria were interviewed using a standard investigation form, and blood specimens were tested for evidence of acute or recent Marburg virus infection by reverse transcription-polymerase chain reaction (RT-PCR) and antibody enzyme-linked immunosorbent assay. The total count of confirmed and probable MVD cases was 26, of which 15 (58%) were fatal. Four of 15 laboratory-confirmed cases (27%) were fatal. Case patients were located in 4 different districts in Uganda, although all chains of transmission originated in Ibanda District, and the earliest case detected had an onset in July 2012. No zoonotic exposures were identified. Symptoms significantly associated with being a MVD case included hiccups, anorexia, fatigue, vomiting, sore throat, and difficulty swallowing. Contact with a case patient and attending a funeral were also significantly associated with being a case. Average RT-PCR cycle threshold values for fatal cases during the acute phase of illness were significantly lower than those for nonfatal cases. Following the institution of contact tracing, active case surveillance, care of patients with isolation precautions, community mobilization, and rapid diagnostic testing, the outbreak was successfully contained 14 days after its initial detection. |
Prevalence of rape and client-initiated gender-based violence among female sex workers: Kampala, Uganda, 2012
Schwitters A , Swaminathan M , Serwadda D , Muyonga M , Shiraishi RW , Benech I , Mital S , Bosa R , Lubwama G , Hladik W . AIDS Behav 2014 19 Suppl 1 S68-76 We utilized data from the 2012 Crane Survey in Kampala, Uganda to estimate prevalence of rape among female sex workers (FSWs) and to identify risk factors for and prevalence of client-initiated gender-based violence (GBV) among FSWs. Participants were recruited using respondent-driven sampling. Analyses were weighted using RDSAT-generated individualized weights for each of the five dependent GBV outcomes. Analyses were conducted utilizing SAS 9.3. Among 1,467 FSWs who were interviewed, 82 % (95 % CI: 79-84) experienced client-initiated GBV and 49 % (95 % CI: 47-53) had been raped at least once in their lifetime. GBV risk increased with increasing frequency of client demands for unprotected sex, length of time engaged in sex work, and FSW alcohol consumption. Risk decreased when sex with clients occurred at the FSW's or client's house or a hotel compared to when sex occurred in open spaces. Our findings demonstrate a high prevalence of GBV among FSWs. This research reinforces the urgent need for GBV prevention and response strategies to be integrated into FSW programming and the continuing need for GBV research among key populations. |
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