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Long-Lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity

  • Fabíola Negreiros de Oliveira
  • , Douglas Alem
  • , Fabricio Oliveira
  • , Adriana Leiras*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Malaria remains a significant public health concern in several developing countries. Tropical weather, coupled with poor environmental and socioeconomic conditions, increases mosquito activity and disease transmission in impoverished nations. The most effective strategy to prevent and control malaria is the use of long-lasting insecticidal nets, or LLINs. Ensuring that LLINs are effectively and equitably distributed to those who need them most is crucial yet challenging, especially since financial and health resources are scarce in endemic countries. Through a real-world case study conducted in the Brazilian Amazon, which accounts for 99% of malaria cases in Brazil, we propose a Malaria Vulnerability Index (MVI). This composite index encompasses epidemiological, socioeconomic, and environmental factors. Using the MVI, we developed a prioritization-based location-allocation model to maximize the benefits of targeting the most vulnerable municipalities for malaria interventions. Our mathematical model relies on discrete coverage levels, which makes the allocation of LLINs more flexible while ensuring community-wide protection. We also explore the theoretical relationship between our proposed model and classical demand covering problems. Finally, we discuss some approaches to delivering more equitable solutions by minimizing the number of underserved areas. Our results include comparisons between various malaria interventions and provide practical insights. In particular, we show that we can drastically reduce the number of underserved areas without compromising the effectiveness of the LLINs allocation through lexicographic optimization. The results also reveal that with investment levels up to 50% of the ideal, we can fully protect the endemic area after 2 years of successive interventions.

Original languageEnglish
Peer-reviewed scientific journalProduction and Operations Management
Volume34
Issue number1
Pages (from-to)120-141
Number of pages22
ISSN1059-1478
DOIs
Publication statusPublished - 2025
MoE publication typeA1 Journal article - refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 314,2 Public health care science, environmental and occupational health
  • equity
  • location-allocation with discrete coverage levels
  • malaria
  • prioritization
  • vulnerability

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