Dataset Information

Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries.

ABSTRACT:

Background

The emergence of antimalarial drug resistance poses a major threat to effective malaria treatment and control. This study aims to inform policymakers and vaccine developers on the potential of an effective malaria vaccine in reducing drug-resistant infections.

Methods

A compartmental model estimating cases, drug-resistant cases, and deaths averted from 2021 to 2030 with a vaccine against Plasmodium falciparum infection administered yearly to 1-year-olds in 42 African countries. Three vaccine efficacy (VE) scenarios and one scenario of rapidly increasing drug resistance are modeled.

Results

When VE is constant at 40% for 4 years and then drops to 0%, 235.7 (Uncertainty Interval [UI] 187.8-305.9) cases per 1000 children, 0.6 (UI 0.4-1.0) resistant cases per 1000, and 0.6 (UI 0.5-0.9) deaths per 1000 are averted. When VE begins at 80% and drops 20 percentage points each year, 313.9 (UI 249.8-406.6) cases per 1000, 0.9 (UI 0.6-1.3) resistant cases per 1000, and 0.9 (UI 0.6-1.2) deaths per 1000 are averted. When VE remains 40% for 10 years, 384.7 (UI 311.7-496.5) cases per 1000, 1.0 (0.7-1.6) resistant cases per 1000, and 1.1 (UI 0.8-1.5) deaths per 1000 are averted. Assuming an effective vaccine and an increase in current levels of drug resistance to 80% by 2030, 10.4 (UI 7.3-15.8) resistant cases per 1000 children are averted.

Conclusions

Widespread deployment of a malaria vaccine could substantially reduce health burden in Africa. Maintaining VE longer may be more impactful than a higher initial VE that falls rapidly.

SUBMITTER: Hamilton A

PROVIDER: S-EPMC10576074 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries.

Hamilton Alisa A Haghpanah Fardad F Hasso-Agopsowicz Mateusz M Frost Isabel I Lin Gary G Schueller Emily E Klein Eili E Laxminarayan Ramanan R

Communications medicine 20231013 1

<h4>Background</h4>The emergence of antimalarial drug resistance poses a major threat to effective malaria treatment and control. This study aims to inform policymakers and vaccine developers on the potential of an effective malaria vaccine in reducing drug-resistant infections.<h4>Methods</h4>A compartmental model estimating cases, drug-resistant cases, and deaths averted from 2021 to 2030 with a vaccine against Plasmodium falciparum infection administered yearly to 1-year-olds in 42 African co ...[more]

PMID: 37833540

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Dataset Information

Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries.

Background

Methods

Results

Conclusions

Publications

Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries.

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