Where did the nets go? Tracing long-lasting insecticidal net migration on Bioko Island

BACKGROUND: Long-lasting insecticidal nets (LLINs) are commonly distributed through mass distribution campaigns (MDCs). MDCs are often followed by substantial loss of LLINs, affecting coverage. Here, data from an MDC and a malaria indicator survey (MIS) on Bioko Island were used to characterize LLIN mobility. METHODS: Between October 2014 and July 2015, an MDC reached most of the households of the island. All nets distributed were marked with a unique code corresponding to the community where they were distributed. An MIS conducted in August and September 2015 allowed to measure LLIN loss and mobility by verifying the number of existing nets and the community code. Multivariate models were used to identify factors associated with households with LLINs with mismatched codes. A source-sink analysis measuring risk gradient between the source community and the sink household was used to assess the overall effect of migrating nets. RESULTS: The MIS revealed that of the 11,599 LLINs distributed to surveyed households, 7274 (62.7%) were observed during the MIS, indicating that 37.3% were no longer present. Among the 7,274 surviving nets, community codes were registered only for 3,413 (46.9%), and 551 of these (16.1%) revealed a mismatched code. Having open eaves was significantly associated with the presence of mismatched LLINs in households (aOR: 1.61; 95% CI 1.35-1.93, p < 0.001). The source sink analysis showed that while the majority of LLINs migrated from lower to higher risk areas (62.3%), almost a third migrated in the opposite direction. CONCLUSION: While redistribution had a positive impact on some communities by serving populations at higher risk of transmission, many households in high-risk areas lost their nets to areas with lower risk. This, coupled with the significant LLIN loss post-MDC, pointed to critical inefficiencies and prompted a shift in LLIN distribution strategy from MDC to demand-driven fixed distribution points.

Authors

Institutions

Publication Details

Journal
Malaria Journal
Published
2026-06-25
DOI
https://doi.org/10.1186/s12936-026-06019-3
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Where did the nets go? Tracing long-lasting insecticidal net migration on Bioko Island

Immo Kleinschmidt, Carlos A. Guerra, David S. Galick, Dianna Hergott et al.
Malaria Journal
Malaria Research and Control
article

Where did the nets go? Tracing long-lasting insecticidal net migration on Bioko Island

Immo Kleinschmidt, Carlos A. Guerra, David S. Galick, Dianna Hergott, Matilde Riloha Rivas, Thomas C. Stabler, D.A.S. Smith, Teobaldo Babo Dougan, Jeremias Nzamio Mba Eyono, Guillermo A. García, Liyu A. Teklemichael, Wonder P. Phiri, Liberato Motobe Vas
article en

Abstract

BACKGROUND: Long-lasting insecticidal nets (LLINs) are commonly distributed through mass distribution campaigns (MDCs). MDCs are often followed by substantial loss of LLINs, affecting coverage. Here, data from an MDC and a malaria indicator survey (MIS) on Bioko Island were used to characterize LLIN mobility. METHODS: Between October 2014 and July 2015, an MDC reached most of the households of the island. All nets distributed were marked with a unique code corresponding to the community where they were distributed. An MIS conducted in August and September 2015 allowed to measure LLIN loss and mobility by verifying the number of existing nets and the community code. Multivariate models were used to identify factors associated with households with LLINs with mismatched codes. A source-sink analysis measuring risk gradient between the source community and the sink household was used to assess the overall effect of migrating nets. RESULTS: The MIS revealed that of the 11,599 LLINs distributed to surveyed households, 7274 (62.7%) were observed during the MIS, indicating that 37.3% were no longer present. Among the 7,274 surviving nets, community codes were registered only for 3,413 (46.9%), and 551 of these (16.1%) revealed a mismatched code. Having open eaves was significantly associated with the presence of mismatched LLINs in households (aOR: 1.61; 95% CI 1.35-1.93, p < 0.001). The source sink analysis showed that while the majority of LLINs migrated from lower to higher risk areas (62.3%), almost a third migrated in the opposite direction. CONCLUSION: While redistribution had a positive impact on some communities by serving populations at higher risk of transmission, many households in high-risk areas lost their nets to areas with lower risk. This, coupled with the significant LLIN loss post-MDC, pointed to critical inefficiencies and prompted a shift in LLIN distribution strategy from MDC to demand-driven fixed distribution points.

Malaria Journal
Ministry of Health and Social Welfare (TZ), University of London (GB), Center for Global Development (US), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), Institute for Health Metrics and Evaluation (US), London School of Hygiene & Tropical Medicine (GB), Ministry of Health (BB), National University of Equatorial Guinea (GQ)
Openalex Percentile: Top 6%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.