Data Requirements for Field Release and Monitoring Jon Knight Imperial College London [email protected].

Data Requirements for Field Release and Monitoring

Jon KnightImperial College London

[email protected]

Overall Aim

• Guidance on standardised procedures for data collection and a structure to collect and access data to support best practice for monitoring and management of field release and deployment

Why collect data?• Inform target groups – policy makers,

researchers, programme managers, regulators, stakeholders

• Support objective – provide supporting data for risk assessment and project management from project initiation to maturity

• Address risk perception of various groups at relevant times

Key Phases• Project initiation – baseline data• Project implementation – real time data

collection for decision making• Project operation – continued monitoring for

safe and efficient operation of project• Long term monitoring – continued monitoring

to ensure impacts are maintained and that risk management is appropriate

Ethics Review

Ethics Review

EIA

Impact Evaluation

Genetic Data Population Data Release Area Data Operational Protocols Efficacy and Impact

Genetic Modification• Modification• Experimental protocol• Source of genetic materialPhenotypic effectsStability of construct

Genetic stabilityExtent of gene drive

Wild mosquito population• Baseline dataHuman context• Socioeconomic/cultural• Health (disease incidence or threat)• Risk perception/acceptanceEnvironmental conditions• Non-target organisms• Endangered or protected sites

Field release plansMonitoring plansFacility biosecurityStandard Operating Procedures • Production protocol• Contingency plans

Options for monitoringEfficacy of option chosenMechanism for ongoing data reviewModels for predictive monitoring scale and location, adjustment to real data

Phenotypic stabilityLife tables and fitnessMating competitivenessRate of Introgression

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Genetic Data Population Data Release Area Data

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Efficacy and Impact

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Ethics Review

EIAImpact

Evaluation

• Understand the target vector- Vector species presence- Vector density and abundance- Vector distribution (GPS)- Habitat

Baseline data

Baseline data• Health & Socio-economic indicators– Number of people in area, age, earnings, etc

• Epidemiology– Incidence of disease– Distribution of disease

• Perceptions of people– Disease– Control methods

• Vectors• Medicines

Baseline data

• Current control methods– Location of activities– Types of activities– Cost of activities (and who is paying)

• Current biodiversity– Ecosystem services

Project implementation

• Insect vector monitoring– Monitoring of modified insects• Apparent density and survival• Mobility and dispersal• Dispersion (niche occupation)• Persistence of gene in environment• Other biosafety indicators

– Monitoring of wild types• As above

Project implementation

• Monitoring and surveillance in and around production facility (escapes for sterile forms)

• Most of the above require reliable and quantifiable trapping systems

• Epidemiology

Project Operation• Monitoring insect numbers (direct sampling)• Monitoring disease incidence (indirect)• “Success” of programme– Sampling and detection of transgene in target insect

population– Establishing absence of vectors

• Recording of production and release costs• Monitoring and surveillance in and around

production facility (escapes for sterile forms)

Long term monitoring

• Trapping network for detecting reinvasion• Disease prevalence monitoring

• If continued releases– Ensure impacts continue (strain still effective)

Long term monitoring • Acquisition of a new and undesirable

capability/behaviour– increased capacity to transmit a pathogen– increased blood-feeding frequency, altered host

preference• Disruption of any essential or beneficial function– food chain in some environments, etc

• Reproductive effects in a non-target organism– sterility, mutations, etc

• Alteration or disruption of normal interactions of organisms in the environment (ecosystem effects)

Data management• Deliver timely information to decision makers– Clear data recording and reporting structures– Standardised data sheets– Geo-referencing of data (where appropriate) – Spatial data stored in a Geographic Information

System (GIS) facilitating rapid mapping– Compilation in standard structures within Excel,

Access, etc• Data analysis at regular intervals relevant to the

project

Thank you

Any questions?¿Preguntas?