ViALLIN MUsAcc - Visual Analysis of Long Lasting Insecticidal Nets to Maximise Universal Access

Mosquito bednets have been vital in reducing the malaria burden among children over the last 20 years. Reductions have stagnated and resources available for control are half what is needed to meet malaria control milestones. Standard long-lasting insecticidal nets (LLIN) are assumed to have a three-year lifespan, are
distributed at three-year intervals and procured based on unit cost. However, most LLINs develop holes and wear before the next distribution, leaving millions of children unprotected. The lifespan of LLINs differs substantially between products, influencing their value-for-money.

This project will deliver information to National Malaria Control Programs (NMCP) that enables them to 1) select durable and cost-effective LLINs to buy, 2) optimize intervals between LLIN distributions and 3) monitor LLIN quality. LLINs will be procured based on their cost-per-year of lifespan rather than cheapest price only when NMCP use data to select optimal products.

We will develop a data collection app “ViALLIN” that collects images of LLINs and variables that influence LLIN lifespan on smartphones. Image analysis, where computer algorithms measure sizes of the holes in the LLINs, allows simple and consistent monitoring of LLIN damage during routine surveys. We will develop a prediction model using the image analysis of LLINs in households that are followed up regularly. Current LLIN condition combined with key household data will be used to predict LLINs condition and coverage the following year. Data will integrate into existing data systems used by Tanzania NMCP. ViALLIN will be applied in a trial comparing LLINs to investigate cost-savings of more durable LLINs.

The project will empower the Tanzanian NMCP=medium to select the best LLINs for their setting to
optimize the use of scarce resources, reduce malaria transmission and improve child health. Data capture and
analysis algorithms will be made open source.

Involved Regions: Africa
Involved Countries: Tanzania, United Republic of

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