Lovelyn Ozougwu

ORCID: 0000-0002-9120-9410
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About
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Research Areas
  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Clinical Research Studies
  • COVID-19 and healthcare impacts
  • Tuberculosis Research and Epidemiology
  • COVID-19 Pandemic Impacts
  • Migration, Health and Trauma
  • HIV/AIDS Impact and Responses
  • Pneumocystis jirovecii pneumonia detection and treatment
  • HIV/AIDS Research and Interventions
  • Pneumonia and Respiratory Infections
  • Mosquito-borne diseases and control
  • Vaccine Coverage and Hesitancy
  • Malaria Research and Control
  • COVID-19 Impact on Reproduction
  • Viral Infections and Outbreaks Research
  • Long-Term Effects of COVID-19
  • Global Maternal and Child Health

Right to Care
2022-2024

National Health Laboratory Service
2021-2024

National Institute for Communicable Diseases
2021-2023

National Center for Communicable Diseases
2022

Stellenbosch University
2020-2021

University of the Witwatersrand
2020-2021

Waasila Jassat Caroline Mudara Lovelyn Ozougwu Stefano Tempia Lucille Blumberg and 95 more Mary‐Ann Davies Yogan Pillay Terence Carter Ramphelane Morewane Milani Wolmarans Anne von Gottberg Jinal N. Bhiman Sibongile Walaza Cheryl Cohen Shaina Abdullah Fiona Abrahams Vincentius Adams Fhima Adnane Sonia Adoni Dieketso Melitta Adoons Veronique Africa Dr Aguinaga Susan Akach Prisha Alakram Khelawon George Aldrich Olatunde Alesinloye Mathale Biniki Aletta Mametja Alice Tebogo Aphane Moherndran Archary Felicity Arends Shireen Arends Munonde Aser T Asmal Mohammed Asvat Theunis Avenant Muvhali Avhazwivhoni Magnolia Azuike Johanna Baartman Dlava Babalwa Johan Badenhorst Miranda Badenhorst Badenhorst Bianca Badripersad Lalihla Badul M Bagananeng Mncedisi Bahle Liezl Balfour Liezl Balfour TC Baloyi S Baloyi Tinyiko Baloyi Tshepo Mpho Baloyi Thokozani Banda Shimon Barit Nicole Bartsch Junaid Bayat Siyabulela Bazana Marlene Beetge Marlene Beetge Nosindiso Bekapezulu Rammala Belebele Phala Bella Zanenkululeko Belot Lindi Gladys Bembe Sonja Bensch Gishma Beukes Karla Bezuidenhout Themba Bhembe N.A BIKISHA Ben Bilenge Leesa Bishop Baphamandla Biyela Cyntheola Blaauw Mark Blaylock Nicola Bodley Power Bogale Sibongile Bokolo Stefan Bolon Mary Booysen Eldereze Booysen Lia Boretti Paula Borges Millicent Boshoga Natasha Bosman Lucinda Bosvark Nicky Botes Adele Botha Chantall botha J. R. Botha Mandlakayise Irvin Botha Alet Botha Janet M. Bradbury Zandisile Breakfast Maria Breed Molele Brenda Moshito Brice Jolene Britz Amanda Brown M. Buchanan Thozama Bucwa

The first wave of COVID-19 in South Africa peaked July, 2020, and a larger second January, 2021, which the SARS-CoV-2 501Y.V2 (Beta) lineage predominated. We aimed to compare in-hospital mortality other patient characteristics between waves.In this prospective cohort study, we analysed data from DATCOV national active surveillance system for admissions hospital March 5, 27, 2021. contained all hospitals that have admitted with COVID-19. used incidence risk admission determined cutoff dates...

10.1016/s2214-109x(21)00289-8 article EN cc-by-nc-nd The Lancet Global Health 2021-07-09

ABSTRACT Introduction South Africa experienced its first wave of COVID-19 peaking in mid-July 2020 and a larger second January 2021, which the SARS-CoV-2 501Y.V2 lineage predominated. We aimed to compare in-hospital mortality other patient characteristics between waves COVID-19. Methods analysed data from DATCOV national active surveillance system for hospitalisations. defined four periods using incidence risk hospitalisation, pre-wave 1, 2 2. compared hospitalised cases 1 2, factors...

10.1101/2021.03.09.21253184 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-03-10

Background: As Omicron became the dominant variant in South Africa, little is known about severity of its clinical presentation. We describe patients hospitalised with SARS-CoV-2 infection during first four weeks Omicron-dominated fourth wave and compare this to Betadominated second Delta-dominated third waves Gauteng Province.Methods: Polymerase chain reaction antigen positive case data were collated daily from laboratory reports. Data on hospital admissions collected through an active...

10.2139/ssrn.3996320 article EN SSRN Electronic Journal 2021-01-01

ABSTRACT Background Clinical severity of patients hospitalised with SARS-CoV-2 infection during the Omicron (fourth) wave was assessed and compared to trends in D614G (first), Beta (second), Delta (third) waves South Africa. Methods Weekly incidence 30 laboratory-confirmed cases/100,000 population defined start end each wave. Hospital admission data were collected through an active national COVID-19-specific surveillance programme. Disease across by post-imputation random effect...

10.1101/2022.02.22.21268475 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-02-23

ABSTRACT Introduction The Omicron BA.1/BA.2 wave in South Africa had lower hospitalisation and mortality than previous SARS-CoV-2 variants was followed by an BA.4/BA.5 wave. This study compared admission incidence risk across waves, the of wave, to Delta waves. Methods Data from Africa’s national hospital surveillance system, case linelist Electronic Vaccine System were linked analysed. Wave periods defined when country passed a weekly 30 cases/100,000 people. Mortality rates Delta,...

10.1101/2022.08.24.22279197 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-08-25

Older age, male sex, and non-white race have been reported to be risk factors for COVID-19 mortality. Few studies explored how these intersecting contribute outcomes. This study aimed compare demographic characteristics trends in SARS-CoV-2 admissions the health care they received. Hospital admission data were collected through DATCOV, an active national surveillance programme. Descriptive analysis was used deaths by race, sector as a proxy socio-economic status. mortality healthcare...

10.17159/sajs.2022/13323 article EN cc-by South African Journal of Science 2022-05-26

Background. On 26 March 2020, the South African (SA) government initiated a 21-day national level 5 lockdown which was subsequently eased off and downgraded to 4 on 1 May 3 June. The effect of measures SARS-CoV-2 infectivity is currently uncertain. In this article, we analyse effects epidemic in one epicentres SA. Objectives. To measure introduced SA attack rates (ARs, percentage individuals who tested positive specified time period) Gauteng Province during 4-month period (March - June...

10.7196/samj.2020.v110i11.15222 article EN South African Medical Journal 2020-10-28

Introduction: Tuberculosis (TB) is one of the leading causes morbidity and mortality among people living with HIV/AIDS. The growing burden TB/HIV co-infection continues to strain healthcare system due association long duration treatment. This a catalyst for poor adherence clinic appointments, which results in treatment patient outcome. study evaluated factors associated appointments co-infected patients Johannesburg, South Africa.

10.11604/pamj.2020.37.118.23523 article EN cc-by Pan African Medical Journal 2020-01-01

Abstract Background The first case of COVID-19 in South Africa was reported March 2020 and the country has since recorded over 3.6 million laboratory-confirmed cases 100 000 deaths as 2022. Transmission infection SARS-CoV-2 virus general due to have been shown be spatially associated but spatial patterns in-hospital not fully investigated Africa. This study uses national hospitalization data investigate effects on hospital after adjusting for known mortality risk factors. Methods were...

10.1186/s12889-023-15789-3 article EN cc-by BMC Public Health 2023-05-05

Background: The 2021 HIV prevalence among South African adults was 18% and over 2 million people had uncontrolled HIV, posing a risk for poor COVID-19 outcomes those co-infected. We investigated trends in admissions factors associated with in-hospital mortality living (PLWH).Methods: Data collected between March 5, 2020 May 28, 2022 from the national hospital surveillance system, SARS-CoV-2 case linelist, Electronic Vaccination System (EVDS) were linked analysed. Descriptive statistics...

10.2139/ssrn.4397820 preprint EN 2023-01-01

Background. Comorbid conditions may be associated with severe COVID-19. However, there is no evidence to suggest that people living HIV have a higher risk of contracting SARS-CoV-2 or, if infected, more disease.  Objective. To describe three patients and COVID-19 co-infection.  Method. The study was conducted in private hospital Gauteng Province, South Africa. All were known disease treated chronic antiretroviral medication. admitted the unit screened for such as HIV, tuberculosis, diabetes...

10.7196/shs.2020.v4i3.137 article EN 2020-12-15

Abstract Background The first case of COVID-19 in South Africa was reported March 2020 and the country has since recorded over 3.6 million laboratory-confirmed cases 100 000 deaths as 2022. Transmission infection SARS-CoV-2 virus general due to have been shown be spatially associated but spatial patterns in-hospital not fully investigated Africa. This study uses national hospitalization data investigate effects on hospital after adjusting for known mortality risk factors. Methods were...

10.1101/2022.09.16.22280020 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-09-17

Abstract Background The first case of COVID-19 in South Africa was reported March 2020 and the country has since recorded over 3.6 million laboratory-confirmed cases 100 000 deaths as 2022. Transmission infection SARS-CoV-2 virus general due to have been shown be spatially associated but spatial patterns in-hospital not fully investigated Africa. This study uses national hospitalization data investigate effects on hospital after adjusting for known mortality risk factors. Methods were...

10.21203/rs.3.rs-2107975/v1 preprint EN cc-by Research Square (Research Square) 2022-10-28

Background: End-stage-renal-failure (ESRF) patients attending clustered out-patient dialysis are susceptible to SARS-CoV-2 infection. Comorbidities render them vulnerable severe COVID-19. Although preventative and mitigation strategies recommended, the effect of these unknown. A period “potential-high-infectivity” results if a health-care-worker (HCWs) or patient becomes infected. Aim: We describe analyze early, universal real time reverse transcription polymerase chain reaction (RT-PCR)...

10.3389/fphar.2020.600364 article EN cc-by Frontiers in Pharmacology 2021-03-23

Abstract Background Tuberculosis (TB) is one of the leading cause morbidity and mortality among people living with HIV/AIDS. The growing burden TB/HIV co-infection continues to strain healthcare system due association long duration treatment. This a catalyst for poor treatment adherence, which major public health challenge its propensity drive drug resistance. study evaluated effects on adherence co-infected patients. Method was cross sectional that involved 10427 patients’ ≥18 years age HIV...

10.1093/ije/dyab168.498 article EN International Journal of Epidemiology 2021-09-01
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