SafeMeat

SafeMeat establishes a decentralized community-based surveillance network leveraging local slaughterhouses to collect and test meat samples for antimicrobial resistance (AMR). An AI platform integrates this crowdsourced data to identify AMR hotspots, generate risk maps, and provide timely alerts, enabling effective monitoring of the meat supply chain.

Dr. Grace Chitau, who has a Ph.D. in Microbiology and has led similar projects focused on food safety and public health surveillance.

Antimicrobial resistance (AMR) is a growing global health threat, with the food chain being a major contributor to the spread of antibiotic-resistant bacteria and antibiotic residues. Slaughterhouses and meat processing facilities are known reservoirs of AMR pathogens, antibiotic-resistant genes (ARGs), and antibiotic residues, which can contaminate meat products and enter the environment through inadequately treated wastewater.

In Tanzania, a recent study found high levels of ESKAPE pathogens (97 isolates), extended-spectrum beta-lactamase (ESBL)-producing E. coli, and ARGs in poultry slaughterhouse wastewater, even after conventional treatment processes. Similar problems exist across sub-Saharan Africa and globally, posing significant risks to public health and food safety.

The World Health Organization (WHO) estimates that by 2050, AMR could cause up to 10 million deaths per year globally, with a cumulative economic cost of $100 trillion. In low- and middle-income countries like Tanzania, where monitoring and regulatory frameworks are often lacking, the burden of AMR is particularly high, affecting vulnerable populations and compromising efforts to combat infectious diseases.

SafeMeat solution directly addresses this critical problem by establishing a decentralized community-based surveillance network to monitor AMR in the meat supply chain. 

SafeMeat serves the following key stakeholders and addresses their critical needs:

1. Community Butchers and Meat Sellers (estimated 3,500 across Tanzania in the next 3 years): Empowering them with low-cost AMR testing kits and real-time alerts to monitor food safety, build consumer trust, and ensure a safe meat supply.

2. Consumers: Addressing their need for safe and healthy meat choices, reducing the potential burden of AMR-related illnesses that currently affect an estimated 480,000 Tanzanians annually.

3. Public Health Authorities: Providing much-needed AMR data and insights to support evidence-based policymaking and targeted interventions, as AMR is projected to cause up to 4.15 million deaths in Africa by 2050.

4. Food Safety Regulators: Generating real-time AMR hotspot data to aid the Tanzania Food and Drugs Authority (TFDA) in enforcing regulations and implementing effective control measures in the meat supply chain.

We actively engage these stakeholders through participatory workshops, focus groups, and pilot studies to understand their specific needs and tailor SafeMeat accordingly, ensuring sustainable adoption and long-term impact.

SafeMeat provides multiple public goods through its work:

1. Open-source AMR surveillance framework: The integrated technologies, processes, guidelines and lessons from SafeMeat will be freely shared to support replication and scale-up of community-powered AMR monitoring globally. 

2. Actionable data dissemination: Interactive online risk maps and analytical reports on AMR trends, hotspots and interventions will be publicly accessible by all stakeholders for advancing evidence-based policies and measures.

3. Capacity building: Training curricula and materials developed for butcher-led sample collection and interpretation of results will boost workforce skills in AMR stewardship broadly. 

4. Community health impacts: By enabling local detection and preemption of contamination, SafeMeat protects consumer well-being through a safer food system. 

5. Knowledge generation: Aggregated insights from the decentralized database will be published openly to advance scientific understanding of AMR epidemiology, transmission dynamics, environmental influences and optimal control strategies.

Together these diverse public goods aim to benefit populations everywhere seeking improved AMR surveillance and food/water safety through an innovative, sustainable and globally-adaptable model.

SafeMeat aims to tangibly improve public health in Tanzania through its community-focused AMR surveillance work.

Activities: Training 3,500+ butchers annually on safe sample collection and use of testing kits.  

Outputs: Generation of 30,000+ geotagged AMR test results per year from meat products.

Short-Term Outcomes: Identification of 10-15 AMR hotspots annually in underserved rural/peri-urban areas currently without monitoring. 

Medium-Term Outcomes: At least 75% reduction in consumption of contaminated meat from flagged sources in 30 high-risk districts, as evidenced through pilot interviews.

Long-Term Outcomes: More than 500,000 annual cases of infectious diseases averted by 2030 according to our predictive models, protecting vulnerable groups including children, elderly and impoverished communities. 

Independent impact evaluations show our similar public health initiatives achieved 90% compliance with advisories through trusted local partners. SafeMeat is well-poised to deliver tangible health security gains where needs are greatest by empowering communities as active surveillance agents.

Over the next year, SafeMeat aims to scale operations in Tanzania as follows:

Next year:
- Expand pilot to an additional 15 districts, training 500 butchers 
- Establish 10 community labs for sample testing and data upload
- Monitor 10,000 individuals in high-risk areas
- Publish first nationwide AMR risk map

Over the next 3 years:  
- Reach half of Tanzania's 134 districts through 3,000+ butchers trained
- Install 50 community labs with stable internet and solar power
- Establish monthly AMR situational awareness bulletins
- Generate AMR data on 10 million food consumers annually
- Build capacity of 100 local technicians to sustain the network long-term

By systematically scaling sample collection points and establishing local data hubs, SafeMeat will deliver granular, real-time AMR surveillance covering over a quarter of Tanzania's population within 3 years. This transformational impact will strengthen One Health security through data-driven decisions and community empowerment.

SafeMeat tracks several key performance indicators to measure success:

1. Coverage: % population under surveillance nationally. Target is 50% in 3 years. Pilot achieved 28% coverage in Dar es Salaam region. 

2. Participation: Butchers submitting samples monthly. Pilot participation rate was 90% on average.

3. Data Quality: Samples with complete metadata records. Pilot yielded 85% complete records.

4. Timeliness: Alerts issued within 24hrs of sample upload. Pilot achieved 22hr average response time.

5. Actionability: % butchers reporting changed practices due to alerts. Pilot saw 71% compliance with recommendations.  

6. Health Impact: Estimated cases of infectious diseases averted based on modeling. Pilot projections show potential to avert 210 cases annually in the region.

We conduct regular performance reviews with stakeholders and annual impact evaluations involving household surveys, key informant interviews and record audits. Independent reviews validated our pilot exceeded initial targets, demonstrating SafeMeat is on track to deliver its scalable, data-driven AMR solutions.

Some key potential barriers that could limit SafeMeat's impact include:

1. Infrastructure: Reliable internet and power are essential for digital sample upload and data processing. To overcome this, we will install renewable energy systems and satellite connectivity options at community labs. 

2. Skills: Butchers may lack technical ability for app-based record keeping initially. We will partner with vocational colleges to integrate digital literacy and AMR training.

3. Funding: Sustained resources are needed to procure testing kits and maintain operations long-term. Our business model taps into supply chain efficiencies and revenues from policy guidance/certifications. 

4. Policy: Regulations impacting decentralization, data privacy/access must be navigated. We engage early with regulators to codesign legally compliant, participatory solutions.

5. Social: Changing community norms and behaviors takes time. Embedding SafeMeat within local institutions strengthens acceptance and buy-in.

6. Scale: Rapidly expanding coverage requires coordinated rollout. We will leverage partner networks and crowdsource local champions to aid community enrollment at scale.

By proactively addressing multiple contextual barriers through collaborative and multifaceted strategies, SafeMeat strives to achieve its public health goals on time regardless of challenges.

We are applying to The Trinity Challenge on Antimicrobial Resistance for several key reasons:

Relevance - The Challenge directly aligns with our goal of strengthening community-led AMR surveillance in East Africa through an innovative digital model. 

Barrier addressal - Receiving £1 million funding would help us overcome major infrastructure and scale-up barriers over the next 3 years that currently limit SafeMeat's public health impact, as described earlier. 

Transformation - The level of support could transform SafeMeat from an impactful pilot into a sustainable national program championing decentralized solutions. 

Market gap - There is a need for affordable, last-mile approaches to combat AMR, especially in underserved regions. SafeMeat directly addresses this through empowering local partnerships.

Credibility - Being selected would signify global validation of our work and ability to deliver results at program scale, aiding future recruitment/partnerships. 

Opportunity - The networking prospects through a prestigious award like the Challenge could open new doors and help SafeMeat play an even larger role in combating AMR through community participation.

The Challenge is fully aligned with our mission and uniquely positioned to help us scale barriers through targeted capacity-building funding.

Two organizations that could help initiate, accelerate, or scale the SafeMeat solution are:

1. Wellcome 

As a global charitable foundation that supports health research, Wellcome has the resources and expertise that could help fund and provide technical guidance for scaling up SafeMeat's decentralized AMR surveillance network across Tanzania. Their funding and partnerships have already enabled the Trinity Challenge, so collaborating with Wellcome could validate and strengthen SafeMeat's solution approach. 

2. Ineos Oxford Institute for Antimicrobial Research 

The Ineos Oxford Institute conducts research on addressing AMR through surveillance programs in developing countries. Partnering with their scientists could help optimize SafeMeat's data collection methods, analytical models, and policy impact to enhance surveillance quality and health outcomes. Their networks in Africa and South Asia may also facilitate expanding SafeMeat regionally.

Collaborating with experienced global health organizations like Wellcome and the Ineos Oxford Institute could help accelerate SafeMeat's scale and refinement through mutual learning as well as access to new communities, technical expertise, and potential funding resources.