Estimating the potential impact of Attractive Targeted Sugar Baits (ATSBs) as a new vector control tool for Plasmodium falciparum malaria
Background: Attractive targeted sugar baits (ATSBs) are a promising new tool for malaria control as they can target outdoor-feeding mosquito populations, in contrast to current vector control tools which predominantly target indoor-feeding mosquitoes.
Methods: We sought to estimate the potential impact of these new tools on Plasmodium falciparum malaria prevalence in African settings by combining data from a recent entomological field trial of ATSBs undertaken in Mali with mathematical models of malaria transmission.
Results: The entomological study showed a significant reduction of 55.4% (95 % CI 33.7-77.1%) in mosquito catch numbers, and a larger reduction of ~91% (95% CI 75-100%) in the entomological inoculation rate due to the fact that, in the presence of ATSBs, most mosquitoes do not live long enough to transmit malaria. The key parameter determining impact on the mosquito population is the excess mortality due to ATSBs, which we estimate from the observed reduction in mosquito catch numbers to be lower (mean 0.13 per mosquito per day, seasonal range 0.10-0.16 per day) than the bait feeding rate obtained from one-day staining tests (mean 0.34 per mosquito per day, seasonal range 0.28-0.38 per day). Using a mathematical model capturing the lifecycle of P. falciparum malaria in mosquitoes and humans and incorporating the excess mortality, we predict that ATSBs could result in large reductions (>30% annually) in prevalence and clinical incidence of malaria, even in regions with an existing high malaria burden.
Conclusions: Results suggest that this new tool could provide a promising addition to existing vector control tools and result in significant reductions in malaria burden across a range of malaria-endemic settings.
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Posted 08 Sep, 2020
On 11 Dec, 2020
Received 09 Dec, 2020
On 18 Oct, 2020
Received 07 Oct, 2020
On 22 Sep, 2020
Invitations sent on 21 Sep, 2020
On 08 Sep, 2020
On 07 Sep, 2020
On 05 Sep, 2020
On 02 Sep, 2020
Estimating the potential impact of Attractive Targeted Sugar Baits (ATSBs) as a new vector control tool for Plasmodium falciparum malaria
Posted 08 Sep, 2020
On 11 Dec, 2020
Received 09 Dec, 2020
On 18 Oct, 2020
Received 07 Oct, 2020
On 22 Sep, 2020
Invitations sent on 21 Sep, 2020
On 08 Sep, 2020
On 07 Sep, 2020
On 05 Sep, 2020
On 02 Sep, 2020
Background: Attractive targeted sugar baits (ATSBs) are a promising new tool for malaria control as they can target outdoor-feeding mosquito populations, in contrast to current vector control tools which predominantly target indoor-feeding mosquitoes.
Methods: We sought to estimate the potential impact of these new tools on Plasmodium falciparum malaria prevalence in African settings by combining data from a recent entomological field trial of ATSBs undertaken in Mali with mathematical models of malaria transmission.
Results: The entomological study showed a significant reduction of 55.4% (95 % CI 33.7-77.1%) in mosquito catch numbers, and a larger reduction of ~91% (95% CI 75-100%) in the entomological inoculation rate due to the fact that, in the presence of ATSBs, most mosquitoes do not live long enough to transmit malaria. The key parameter determining impact on the mosquito population is the excess mortality due to ATSBs, which we estimate from the observed reduction in mosquito catch numbers to be lower (mean 0.13 per mosquito per day, seasonal range 0.10-0.16 per day) than the bait feeding rate obtained from one-day staining tests (mean 0.34 per mosquito per day, seasonal range 0.28-0.38 per day). Using a mathematical model capturing the lifecycle of P. falciparum malaria in mosquitoes and humans and incorporating the excess mortality, we predict that ATSBs could result in large reductions (>30% annually) in prevalence and clinical incidence of malaria, even in regions with an existing high malaria burden.
Conclusions: Results suggest that this new tool could provide a promising addition to existing vector control tools and result in significant reductions in malaria burden across a range of malaria-endemic settings.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7