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LLIN Evaluation in Uganda Project (LLINEUP): modelling the impact of COVID-19-related disruptions on delivery of long-lasting insecticidal nets on malaria indicators in Uganda.

التفاصيل البيبلوغرافية
العنوان: LLIN Evaluation in Uganda Project (LLINEUP): modelling the impact of COVID-19-related disruptions on delivery of long-lasting insecticidal nets on malaria indicators in Uganda.
المؤلفون: Okiring J; Clinical Epidemiology Unit, Makerere University College of Health Sciences, PO Box 7475, Kampala, Uganda. okjaffer@gmail.com.; Infectious Diseases Research Collaboration, Kampala, Uganda. okjaffer@gmail.com., Gonahasa S; Infectious Diseases Research Collaboration, Kampala, Uganda., Maiteki-Sebuguzi C; Infectious Diseases Research Collaboration, Kampala, Uganda., Katureebe A; Infectious Diseases Research Collaboration, Kampala, Uganda., Bagala I; Infectious Diseases Research Collaboration, Kampala, Uganda., Mutungi P; Infectious Diseases Research Collaboration, Kampala, Uganda., Kigozi SP; Infectious Diseases Research Collaboration, Kampala, Uganda., Namuganga JF; Infectious Diseases Research Collaboration, Kampala, Uganda., Nankabirwa JI; Clinical Epidemiology Unit, Makerere University College of Health Sciences, PO Box 7475, Kampala, Uganda.; Infectious Diseases Research Collaboration, Kampala, Uganda., Kamya MR; Infectious Diseases Research Collaboration, Kampala, Uganda.; Department of Medicine, Makerere University, Kampala, Uganda., Donnelly MJ; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.; Wellcome Sanger Institute, Hinxton, UK., Churcher TS; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK., Staedke SG; Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK., Sherrard-Smith E; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
المصدر: Malaria journal [Malar J] 2024 Jun 06; Vol. 23 (1), pp. 180. Date of Electronic Publication: 2024 Jun 06.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 101139802 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2875 (Electronic) Linking ISSN: 14752875 NLM ISO Abbreviation: Malar J Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, [2002-
مواضيع طبية MeSH: Malaria*/prevention & control , Malaria*/epidemiology , Insecticide-Treated Bednets*/statistics & numerical data , Mosquito Control*/statistics & numerical data , Mosquito Control*/methods , COVID-19*/prevention & control , COVID-19*/epidemiology, Uganda/epidemiology ; Humans
مستخلص: Background: Disruptions in malaria control due to COVID-19 mitigation measures were predicted to increase malaria morbidity and mortality in Africa substantially. In Uganda, long-lasting insecticidal nets (LLINs) are distributed nationwide every 3-4 years, but the 2020-2021 campaign was altered because of COVID-19 restrictions so that the timing of delivery of new nets was different from the original plans made by the National Malaria Control Programme.
Methods: A transmission dynamics modelling exercise was conducted to explore how the altered delivery of LLINs in 2020-2021 impacted malaria burden in Uganda. Data were available on the planned LLIN distribution schedule for 2020-2021, and the actual delivery. The transmission model was used to simulate 100 health sub-districts, and parameterized to match understanding of local mosquito bionomics, net use estimates, and seasonal patterns based on data collected in 2017-2019 during a cluster-randomized trial (LLINEUP). Two scenarios were compared; simulated LLIN distributions matching the actual delivery schedule, and a comparable scenario simulating LLIN distributions as originally planned. Model parameters were otherwise matched between simulations.
Results: Approximately 70% of the study population received LLINs later than scheduled in 2020-2021, although some areas received LLINs earlier than planned. The model indicates that malaria incidence in 2020 was substantially higher in areas that received LLINs late. In some areas, early distribution of LLINs appeared less effective than the original distribution schedule, possibly due to attrition of LLINs prior to transmission peaks, and waning LLIN efficacy after distribution. On average, the model simulations predicted broadly similar overall mean malaria incidence in 2021 and 2022. After accounting for differences in cluster population size and LLIN distribution dates, no substantial increase in malaria burden was detected.
Conclusions: The model results suggest that the disruptions in the 2020-2021 LLIN distribution campaign in Uganda did not substantially increase malaria burden in the study areas.
(© 2024. The Author(s).)
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معلومات مُعتمدة: OPP1210750 United States GATES Bill & Melinda Gates Foundation; MR/T041986/1 UKRI Fellowship from the Medical Research Council
فهرسة مساهمة: Keywords: COVID-19; Long-lasting insecticidal nets; Malaria; Modelling; Uganda
تواريخ الأحداث: Date Created: 20240606 Date Completed: 20240607 Latest Revision: 20240609
رمز التحديث: 20240609
مُعرف محوري في PubMed: PMC11157881
DOI: 10.1186/s12936-024-05008-8
PMID: 38844987
قاعدة البيانات: MEDLINE
الوصف
تدمد:1475-2875
DOI:10.1186/s12936-024-05008-8