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Comment
. 2013 May;88(5):809-816.
doi: 10.4269/ajtmh.13-0065. Epub 2013 Apr 15.

A second chance to tackle African malaria vector mosquitoes that avoid houses and don't take drugs

Gerry F Killeen
Comment

A second chance to tackle African malaria vector mosquitoes that avoid houses and don't take drugs

Gerry F Killeen. Am J Trop Med Hyg. 2013 May.
No abstract available

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Figures

Figure 1.
Figure 1.
A schematic representation of the sequential layers of intervention required to eliminate malaria from the most staunchly endemic regions of Africa in the long term and where we stand in terms of best practice today or 50 years ago during the Global Malaria Eradication Program.
Figure 2.
Figure 2.
Estimates of the proportion of human exposure to African vector populations for users (πi,n) and non-users (πi) of long-lasting insecticidal nets (LLINs). All estimates of πi for vector populations in Kenya, Tanzania, Zambia, and Burkina Faso were obtained directly from a recently published analysis. For Anopheles gambiae in Equatorial Guinea, an approximate value was derived from published estimates of the proportion of mosquitoes caught indoors (Pi) and the proportion caught during the first and last hours that the majority of residents were considered to be asleep indoors (Pfl): πi = Pfl Pi/[Pfl Pi + (1 − Pfl)(1 − Pi]. Values for πi,n were calculated without explicit calculation of hourly behavior-weighted biting rates, discounted for indoor personal protection (ρ), as originally described for Anopheles funestus and Anopheles quadriannulatus in Zambia. Instead πi,n was calculated based on these estimates of πi and a mean of published estimates for the personal protection provided by an LLIN (ρ = 0.937): πi,n = πi (1 − ρ)/[πi (1 − ρ) + (1 − πi)]. Note that Figure 3 and the abstract of the original report from Zambia mistakenly report a cruder binomial estimate for the proportion of non-user exposure occurring indoors (described by Equation 4 of Seyoum and others and distinguished as πiB in Huho and others) rather than the more refined estimate based on mosquito biting rates weighted according population mean human behavior (described as Equation 1 in Seyoum and others and annotated as πi in both works), which are described in Figure 3 of Huho and others and used to derive the πi,n estimates presented here.
Figure 3.
Figure 3.
A schematic representation of how parasite populations can “leap-frog” mass drug administration (or mass screen and treat) interventions by surviving as purely sporogonic stages unless vector-to-human transmission is terminated for at least 2 months.
Figure 4.
Figure 4.
Relationship between the total number of sporozoite-stage infections of mosquitoes (Ns) present in human communities of varying size (Nh) with varying minimum levels of human-to-mosquito transmission, expressed as the daily entomologic inoculation rate (EIRmin). A mean feeding cycle length of 3 days (f = 3) was assumed so that the size of the sporozoite-stage parasite population could be calculated as Ns = EIRmin f Nh.
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Comment on

References

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