Zzapp Malaria: More effective than bed nets? (Wanted: CTO, COO & Funding)

TL;DR: This post describes Zzapp’s approach and effectiveness from their own perspective, intended as an intro aimed at the Effective Altruism community, as an invitation to investigate further and maybe fund them. They claim to be 2x more cost effective than bed nets in reducing malaria in urban and semi-urban areas (over 70% of Africa’s population).

Epistemic status: Based on conversations with Arnon, the CEO of Zzapp Malaria, not cross checked with other info such as Givewell’s review of Against Malaria Foundation.

Zzapp’s approach and theoretical reason to think it would work

You can skip to their experiment and how it went, if you prefer.

TL;DR: Spray water bodies with larvicide to prevent mosquitoes from reproducing, and do it extra well by managing the considerable ops work of finding and spraying the water bodies using satellite imaging and an app for the people on the ground.

Spraying water bodies with larvicide—is tried and works, unrelated to Zzapp

Sources [link] [link].

Theoretical advantages compared to bed nets

  • In every place that malaria was eliminated (which happened many times), larvicide (the treatment of standing water bodies) was the main component.

  • Bed Nets only help people indoors during the night.

  • Many people don’t use their bed nets.

  • Mosquitos developed resistance to the bes nets’ insecticide in many countries

Note I think Givewell already took the problems into account in their analysis, and Arnon emphasizes he thinks bed nets are great, and this is a pitch for using larvicide in urban (and semi urban) areas, not for stopping distributing bed nets. Zzapp think the ideal solution would probably combine many interventions. We are writing this as a comparison with bed nets since EAs already think bed nets are great.

Problems in existing larvicide approaches

Existing solutions: Problems in theory

Coverage is important

It’s important [how many water bodies you find] and [how many of those you spray], and the difference between 95% and 50% is really big, similarly to the situation when vaccinating 95% or 50% of the population, because of the effect on R (reproduction number) - less infected people will infect less other people, it snowballs but in a good way (hopefully), and the same is true about reproduction of mosquitos.

Existing solutions have bad coverage

  • People miss water bodies in the areas they are assigned to search

  • People miss entire areas

  • Even when water bodies are found, the spray team sometimes may still skip them or forget to treat them according to schedule

Small RCT

Ref to a (tiny) randomized controlled trial run by Zzapp and AngloGold Ashanti Malaria Control (AGAMal), where two groups scanned the same square kilometer, one group used the app and one didn’t and the group with the app found 28% more water bodies.

Scanning an entire town

In a different operation, when scanning an entire town with AGAMal, they found 20x more water bodies when using Zzapp’s app. (publication in progress, we’ll add a link when it’s ready). From that they think that on a larger scale the app has an even greater impact.What happened behind the scenes is that without the app—the scanners skipped entire neighborhoods.

Not a problem: Poisoning water bodies

The larvicide in the relevant quantities (bti) isn’t poisonous to humans, animals, or other insects except for mosquitoes and black flies.

Zzapp’s advantages compared to “manual” larvicide

Zzapp has an app they give to the people “on the ground”:

The app follows “where do the people go go” and lets the people mark “I checked this house’s garden” and “I found a water source here” and “this house didn’t let me in”

The control room shows a map with

  • ״Here are the places the worker was in, and here are the places that not״

  • ״this water source was only sprayed 2 weeks ago, someone has to go there again”,

giving more order to the huge mess of going over all different water sources again and again.

Screen shots

In this view, used by the control room, we see where all the water bodies are, including which ones were sprayed already and when.

Another screenshot with captions by Zzapp

This is a screenshot from the app, where they see different colors for areas they have already scanned and areas that still need scanning, gradually changing as they walk around.

Author’s note: The last screenshot looks like one step away from Pokemon Go!

Arnon: Yeah, my colleague, also named Yonatan, always says that we should contact the Pokemon Go devs!

Me: You see, everyone? “Yonatan” is a totally common name here!

How effective is this?

Based on Zzapp’s run of their program

Effectiveness

  • As effective in reducing malaria as bednets (Zzapp reduces 53% of cases, bed nets reduce 45%. Zzapp say this is statistically the same)

    • There will be more about this comparison in a separate post, it’s more complicated than this.

Cost

In urban (and semi-urban) areas, the cost was 41 cent per person

In villages, it was 1.23 dollars per person, with high variance between villages.

How long does this help for?

  • Bednets

    • Help for 3 years.

    • Cost $1.39 per person protected per year.

  • Zapp’s solution (in urban and semi-urban areas)

    • Costed 0.41 cent.

    • For how long?

      • The operation was run for 8 months.

      • In the first 2 months, they didn’t spray (this was done on purpose, to measure the amount of mosquitoes and establish a baseline. In a real world operation, they would have started spraying immediately)

        • So they protected for 6 months only, even though most (not all) of the cost components were for 8 months

  • After effects

    • The after effect of larvicide is expected to be more significant than the after effect of bed nets.

Cost Effectiveness

  • Zzapp estimates this is 2x cheaper than bednets (in urban and semi-urban areas).

  • Conventional larvicide costs $1.18 per person protected per year

Disclaimers

  • These results were not yet peer reviewed.

    • We’ll add a link here when they’re publicly available (expected within days/​weeks).

  • Expect another post going into more detail here.

  • Did we already tell you that Zzapp wants funding for running another RCT?

Potential to be way more effective (aka: Zzapp’s gaps)

TL;DR: Zzapp had things that can be significantly optimized during their first run which, if improved, could make them significantly more cost effective.

Meta: I appreciate Arnon’s openness about this.

My priors: Obviously the first times one runs a very big op—it won’t be the most effective it can be. But I’ll add some examples anyway.

Examples of why the cost could be lower:

  • Zzapp used taxies to drive the field workers between villages and towns. That’s an expensive solution.

  • Their software has big, eh, ”gaps” and they want to rewrite it. Did I mention they want to hire a CTO? We plan a post specifically about that.

  • They had trouble managing 70 people “on the ground”.

    • They got an effective 2.3 hours of scanning per person per day (but paid for 8).

      • Arnon explains that this makes sense—employees will obviously need time to, for example, wait to get their equipment at the start of the day, but he still thinks it’s realistic to raise this number to about 4 hours of scanning per day.

    • They think this is way better than doing larvicide without the Zzapp app, but it could be much better.

    • Did I mention they want to hire a COO who can manage a lot of people, experienced in running projects in Africa?

Examples of why the effectiveness could be higher (regardless of the cost) :

  • Zzapp could find more water bodies

    • Some people skip water bodies. These people could be identified early, Zzapp could.. do something about it.

Next posts planned

Arnon’s contact info

arnon at zzappmalaria dot com