Perennial malaria chemoprevention with and without malaria vaccination to reduce malaria burden in young children: a modelling analysis.

EMOD Malaria chemoprevention Malaria modeling Malaria prevention Malaria vaccine Mathematical modeling Nigeria PMC RTS,S

Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
24 Apr 2023
Historique:
received: 19 03 2023
accepted: 18 04 2023
medline: 26 4 2023
pubmed: 25 4 2023
entrez: 24 04 2023
Statut: epublish

Résumé

A recent WHO recommendation for perennial malaria chemoprevention (PMC) encourages countries to adapt dose timing and number to local conditions. However, knowledge gaps on the epidemiological impact of PMC and possible combination with the malaria vaccine RTS,S hinder informed policy decisions in countries where malaria burden in young children remains high. The EMOD malaria model was used to predict the impact of PMC with and without RTS,S on clinical and severe malaria cases in children under the age of two years (U2). PMC and RTS,S effect sizes were fit to trial data. PMC was simulated with three to seven doses (PMC-3-7) before the age of eighteen months and RTS,S with three doses, shown to be effective at nine months. Simulations were run for transmission intensities of one to 128 infectious bites per person per year, corresponding to incidences of < 1 to 5500 cases per 1000 population U2. Intervention coverage was either set to 80% or based on 2018 household survey data for Southern Nigeria as a sample use case. The protective efficacy (PE) for clinical and severe cases in children U2 was calculated in comparison to no PMC and no RTS,S. The projected impact of PMC or RTS,S was greater at moderate to high transmission than at low or very high transmission. Across the simulated transmission levels, PE estimates of PMC-3 at 80% coverage ranged from 5.7 to 8.8% for clinical, and from 6.1 to 13.6% for severe malaria (PE of RTS,S 10-32% and 24.6-27.5% for clinical and severe malaria, respectively. In children U2, PMC with seven doses nearly averted as many cases as RTS,S, while the combination of both was more impactful than either intervention alone. When operational coverage, as seen in Southern Nigeria, increased to a hypothetical target of 80%, cases were reduced beyond the relative increase in coverage. PMC can substantially reduce clinical and severe cases in the first two years of life in areas with high malaria burden and perennial transmission. A better understanding of the malaria risk profile by age in early childhood and on feasible coverage by age, is needed for selecting an appropriate PMC schedule in a given setting.

Sections du résumé

BACKGROUND BACKGROUND
A recent WHO recommendation for perennial malaria chemoprevention (PMC) encourages countries to adapt dose timing and number to local conditions. However, knowledge gaps on the epidemiological impact of PMC and possible combination with the malaria vaccine RTS,S hinder informed policy decisions in countries where malaria burden in young children remains high.
METHODS METHODS
The EMOD malaria model was used to predict the impact of PMC with and without RTS,S on clinical and severe malaria cases in children under the age of two years (U2). PMC and RTS,S effect sizes were fit to trial data. PMC was simulated with three to seven doses (PMC-3-7) before the age of eighteen months and RTS,S with three doses, shown to be effective at nine months. Simulations were run for transmission intensities of one to 128 infectious bites per person per year, corresponding to incidences of < 1 to 5500 cases per 1000 population U2. Intervention coverage was either set to 80% or based on 2018 household survey data for Southern Nigeria as a sample use case. The protective efficacy (PE) for clinical and severe cases in children U2 was calculated in comparison to no PMC and no RTS,S.
RESULTS RESULTS
The projected impact of PMC or RTS,S was greater at moderate to high transmission than at low or very high transmission. Across the simulated transmission levels, PE estimates of PMC-3 at 80% coverage ranged from 5.7 to 8.8% for clinical, and from 6.1 to 13.6% for severe malaria (PE of RTS,S 10-32% and 24.6-27.5% for clinical and severe malaria, respectively. In children U2, PMC with seven doses nearly averted as many cases as RTS,S, while the combination of both was more impactful than either intervention alone. When operational coverage, as seen in Southern Nigeria, increased to a hypothetical target of 80%, cases were reduced beyond the relative increase in coverage.
CONCLUSIONS CONCLUSIONS
PMC can substantially reduce clinical and severe cases in the first two years of life in areas with high malaria burden and perennial transmission. A better understanding of the malaria risk profile by age in early childhood and on feasible coverage by age, is needed for selecting an appropriate PMC schedule in a given setting.

Identifiants

pubmed: 37095480
doi: 10.1186/s12936-023-04564-9
pii: 10.1186/s12936-023-04564-9
pmc: PMC10124689
doi:

Substances chimiques

Malaria Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Bill & Melinda Gates Foundation
ID : INV-004302
Pays : United States
Organisme : Bill & Melinda Gates Foundation
ID : INV-002092
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Manuela Runge (M)

Department of Preventive Medicine, Institute for Global Health, Northwestern University, Chicago, IL, USA. manuela.runge@northwestern.edu.

Anne Stahlfeld (A)

Department of Preventive Medicine, Institute for Global Health, Northwestern University, Chicago, IL, USA.

Monique Ambrose (M)

Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, USA.

Kok Ben Toh (KB)

Department of Preventive Medicine, Institute for Global Health, Northwestern University, Chicago, IL, USA.

Semiu Rahman (S)

Malaria Consortium Nigeria, 33 Pope John Paul Street, Off Gana Street, Maitama, Abuja-FCT, Nigeria.

Omowunmi F Omoniwa (OF)

Malaria Consortium Nigeria, 33 Pope John Paul Street, Off Gana Street, Maitama, Abuja-FCT, Nigeria.

Caitlin A Bever (CA)

Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, USA.

Olusola Oresanya (O)

Malaria Consortium Nigeria, 33 Pope John Paul Street, Off Gana Street, Maitama, Abuja-FCT, Nigeria.

Perpetua Uhomoibhi (P)

National Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.

Beatriz Galatas (B)

Global Malaria Programme, World Health Organization, Geneva, Switzerland.

James K Tibenderana (JK)

Malaria Consortium Headquarters, 244-254 Cambridge Heath Rd, E2 9DA, London, UK.

Jaline Gerardin (J)

Department of Preventive Medicine, Institute for Global Health, Northwestern University, Chicago, IL, USA.

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