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WHO global RSV surveillance
schema for future planning
Moving from RSV detection to
systematic sequence analysis.
Maria Zambon
Public Health England
WHO Pilot phase (2016-18)
3-y project to pilot a
strategy to leverage
capacities and test
feasibility of GISRS for
RSV surveillance
– without interfering
with influenza
surveillance
- Evidence-base to
inform guidelines for
RSV vaccine
introduction
- Seasonality, global
circulation of RSV
- Disease burden
- High risk groups
- Epi and lab standards
- Case definition
performance
- Incremental costs
- Feasibility
- Platform for special
studies
- Case definition
- Fever
- Apnea / sepsis
- 0-<6m, 6m-<5y, 5-
<65y, 65+y
- Case based clinical
data
- 1000 specimens per
year
- All year round
Rha et al. S Africa
36% RSV missed with SARI
Saha et al. India
50% missed if fever included
Pilot Countries
• Feasible to leverage influenza surveillance for RSV
– No adverse impact on GISRS
– Well accepted
– Collateral benefits for influenza surveillance
• Enough case-load to screen for RSV
• RSV burden highest in infants
• Extended SARI / ARI case definition – high sensitivity
– Inclusion of fever significantly decreases the sensitivity to
detect RSV
– Apnea, sepsis – high specificity in infants <6mo age
• Five scientific papers ready for submission
• RSV surveillance strategy being revised
– https://apps.who.int/iris/bitstream/handle/10665/259853/9789241513203-
eng.pdf;jsessionid=6D73862F7358CF21C81B467046BD7F5F?sequence=1
Learnings from the Pilot
….. onto phase II (2019-21)
Phase I Phase II Rationale
Geographical
representation
2-3 countries / WHO
region
+ 1 to 2 GAVI-eligible / early
adopter countries
• GAVI VIS (2021-25)
• Wider geographical representation
Age groups All age groups Focus on <2y • RSV burden highest in infants
• RSV vaccine for infants via MI
Virus detection RSV detection, typing
optional
RSV typing & establish
framework for sequence
analysis
• Global circulation of RSV-A, RSV-B
• Association with disease severity
• Future monitoring of VE
Genetic
sequencing
Not included Pilot in a few national
laboratories
• GSD scarce, largely from the US
• Demonstrate feasibility of WGS
• Baseline to map changes post-vaccine
• Geographical sequence variability
• Relate viral genotype to age, clinical
severity, virulence
ICD code-
based RSV
surv.
Methodology developed
based on German data
Validate methodology in
other country contexts
• Sustainability, complementarity
Surveill. based
BoD estimates
Explored availability of
denominator-related
data
Estimate RSV associated
hospitalization burden
• BoD estimates to inform RSV vaccine
policies
WHO : The objectives of RSV genomic
characterization
• Characterize representative global viral diversity, particularly in LMICs
• Better understand the global evolutionary phylogeographic dynamics of
RSV
• Demonstrate the feasibility of large-scale whole genome sequencing of
RSV
• Help to establish a baseline of RSV diversity prior to the introduction of RSV
vaccines
• Source suitable reference viruses for molecular testing and phylogenetic
analyses
• Identify RSV strains with potential resistance to monoclonal antibodies
• Identify RSV strains with potential resistance to novel antiviral drugs
RSV Molecular surveillance
What questions do we have
• Is there genetic drift in areas of genome used for
detection
• Is there genetic or antigenic drift in areas important for
antibody or CMI
• Do genetic changes correlate with important antigenic
changes
• Are there any important virulence determinants
• Do any changes impact on interventions
• What changes impact on human antibody reactivity
• Host cell selection
• partial vs complete genome
Molecular Surveillance
How much sequence is necessary ?
• Sample selection
• RNA virus evolution (G).
• No recombination, but insertion & deletion
• Antigenic variation
• Targets of interventions (F & others)
• Monitor detection targets (N and others)
• CMI
• Virulence determinants ?
• Host cell selection… ?
RSVdetectionPCRs–primerlocations
Needforsystematicreview
PHE RSV A 1838-1900
PHE RSV B 1819-2034
CDC RSV 3254-3337
Commercial ??
Other in house ?????
Planning of Phase 2
Y1 2019-2020
EQA to all labs for typing
Ref labs work together to define framework for sequence analysis
Samples shared from Phase 1
Reference labs sequence materials from Phase1
Y2 2020-2021
Ref labs lessons learnt from Sequencing Phase 1 materials
Establish data analysis platforms and quality metrics for future global
virologic surveillance
Begin sequencing Phase 2 materials
Y3 2021-2022
Continued Reference lab sequence analysis of representative samples Phase 2
Sample size calculations for sequencing
Country sequencing expanded as appropriate
Issues
• Resourcing arrangements
• Sequencing Protocols
• Bioinformatics analysis pipelines
• Quality assurance for sequence data
• Repository for sequence data
• Data curation
• Phylogenetic methods
• Data tools for analysis
• Reference viruses
• Data sharing agreements
Final Remarks
• Strain diversity information critical for product
development and product efficacy
• Moving from project based to systematic
sampling
• Embedded in national surveillance systems
• Characterisation approaches need to be
sustainable and much more real time
• Interventions targeted at H & LMICs, but data
on strain diversity not representative.
How is Europe Interacting
• Quality assurance schemes
• European projects ( RESCEU)
• Seninel
• ECDC ?

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WHO global RSV surveillance schema for future planning and systematic sequence analysis

  • 1. WHO global RSV surveillance schema for future planning Moving from RSV detection to systematic sequence analysis. Maria Zambon Public Health England
  • 2.
  • 3. WHO Pilot phase (2016-18) 3-y project to pilot a strategy to leverage capacities and test feasibility of GISRS for RSV surveillance – without interfering with influenza surveillance - Evidence-base to inform guidelines for RSV vaccine introduction - Seasonality, global circulation of RSV - Disease burden - High risk groups - Epi and lab standards - Case definition performance - Incremental costs - Feasibility - Platform for special studies - Case definition - Fever - Apnea / sepsis - 0-<6m, 6m-<5y, 5- <65y, 65+y - Case based clinical data - 1000 specimens per year - All year round Rha et al. S Africa 36% RSV missed with SARI Saha et al. India 50% missed if fever included
  • 5. • Feasible to leverage influenza surveillance for RSV – No adverse impact on GISRS – Well accepted – Collateral benefits for influenza surveillance • Enough case-load to screen for RSV • RSV burden highest in infants • Extended SARI / ARI case definition – high sensitivity – Inclusion of fever significantly decreases the sensitivity to detect RSV – Apnea, sepsis – high specificity in infants <6mo age • Five scientific papers ready for submission • RSV surveillance strategy being revised – https://apps.who.int/iris/bitstream/handle/10665/259853/9789241513203- eng.pdf;jsessionid=6D73862F7358CF21C81B467046BD7F5F?sequence=1 Learnings from the Pilot
  • 6. ….. onto phase II (2019-21) Phase I Phase II Rationale Geographical representation 2-3 countries / WHO region + 1 to 2 GAVI-eligible / early adopter countries • GAVI VIS (2021-25) • Wider geographical representation Age groups All age groups Focus on <2y • RSV burden highest in infants • RSV vaccine for infants via MI Virus detection RSV detection, typing optional RSV typing & establish framework for sequence analysis • Global circulation of RSV-A, RSV-B • Association with disease severity • Future monitoring of VE Genetic sequencing Not included Pilot in a few national laboratories • GSD scarce, largely from the US • Demonstrate feasibility of WGS • Baseline to map changes post-vaccine • Geographical sequence variability • Relate viral genotype to age, clinical severity, virulence ICD code- based RSV surv. Methodology developed based on German data Validate methodology in other country contexts • Sustainability, complementarity Surveill. based BoD estimates Explored availability of denominator-related data Estimate RSV associated hospitalization burden • BoD estimates to inform RSV vaccine policies
  • 7. WHO : The objectives of RSV genomic characterization • Characterize representative global viral diversity, particularly in LMICs • Better understand the global evolutionary phylogeographic dynamics of RSV • Demonstrate the feasibility of large-scale whole genome sequencing of RSV • Help to establish a baseline of RSV diversity prior to the introduction of RSV vaccines • Source suitable reference viruses for molecular testing and phylogenetic analyses • Identify RSV strains with potential resistance to monoclonal antibodies • Identify RSV strains with potential resistance to novel antiviral drugs
  • 8. RSV Molecular surveillance What questions do we have • Is there genetic drift in areas of genome used for detection • Is there genetic or antigenic drift in areas important for antibody or CMI • Do genetic changes correlate with important antigenic changes • Are there any important virulence determinants • Do any changes impact on interventions • What changes impact on human antibody reactivity • Host cell selection • partial vs complete genome
  • 9. Molecular Surveillance How much sequence is necessary ? • Sample selection • RNA virus evolution (G). • No recombination, but insertion & deletion • Antigenic variation • Targets of interventions (F & others) • Monitor detection targets (N and others) • CMI • Virulence determinants ? • Host cell selection… ?
  • 10. RSVdetectionPCRs–primerlocations Needforsystematicreview PHE RSV A 1838-1900 PHE RSV B 1819-2034 CDC RSV 3254-3337 Commercial ?? Other in house ?????
  • 11. Planning of Phase 2 Y1 2019-2020 EQA to all labs for typing Ref labs work together to define framework for sequence analysis Samples shared from Phase 1 Reference labs sequence materials from Phase1 Y2 2020-2021 Ref labs lessons learnt from Sequencing Phase 1 materials Establish data analysis platforms and quality metrics for future global virologic surveillance Begin sequencing Phase 2 materials Y3 2021-2022 Continued Reference lab sequence analysis of representative samples Phase 2 Sample size calculations for sequencing Country sequencing expanded as appropriate
  • 12. Issues • Resourcing arrangements • Sequencing Protocols • Bioinformatics analysis pipelines • Quality assurance for sequence data • Repository for sequence data • Data curation • Phylogenetic methods • Data tools for analysis • Reference viruses • Data sharing agreements
  • 13. Final Remarks • Strain diversity information critical for product development and product efficacy • Moving from project based to systematic sampling • Embedded in national surveillance systems • Characterisation approaches need to be sustainable and much more real time • Interventions targeted at H & LMICs, but data on strain diversity not representative.
  • 14. How is Europe Interacting • Quality assurance schemes • European projects ( RESCEU) • Seninel • ECDC ?