The visualisations on the MPT use modelled estimates, but meningitis and pathogen specific surveillance systems also exist which serve the purpose of identifying outbreaks in higher risk areas and for monitoring vaccine efficacy.
The following provides further reading on meningitis surveillance and improving surveillance data:
Major meningitis efforts surveillance
WHO – Meningitis Weekly Bulletin - https://www.who.int/immunization/monitoring_surveillance/burden/laboratory/IBVPD/en/
MenAfrinet - http://www.menafrinet.org/en-us/
WHO Invasive Bacterial Vaccine Preventable Diseases Laboratory Network - https://www.who.int/immunization/monitoring_surveillance/burden/laboratory/IBVPD/en
Surveillance in the meningitis belt - Lingani, C., et al., Meningococcal Meningitis Surveillance in the African Meningitis Belt, 2004-2013. Clin Infect Dis, 2015. 61 Suppl 5: p. S410-5. - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4639499/
WHO Vaccine Preventable Diseases Surveillance Standards - https://www.who.int/immunization/monitoring_surveillance/burden/vpd/standards/en/
Improving death registration
How can we accelerate progress on civil registration and vital statistics - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872022/
Estimating meningitis deaths
In countries with no national death registration systems, death estimates are based largely on modelled data using verbal autopsy as the primary data source. Verbal autopsy involves interviewing individuals close to the deceased as a way of identifying a cause of death. This means that verbal autopsy cannot accurately distinguish between diseases which have similar symptoms and cannot identity which pathogen caused an infectious death.
The Child Health and Mortality Prevention Surveillance (CHAMPS) Network has been established in areas Sub-saharan Africa and South Asia where infant mortality is very high and there are no national death registration systems to better understand the causes of death of children under 5 in these regions. - https://champshealth.org/
Genomic surveillance of meningitis
Global Meningococcal Genome Library - https://pubmlst.org/projects/gmgl
Rodgers, E., et al., 2020. The global meningitis genome partnership. Journal of Infection, 81(4), pp.510-520.
Retchless, A.C., et al., 2019. Toward a global genomic epidemiology of meningococcal disease. The Journal of infectious diseases, 220(Supplement_4), pp.S266-S273.
Rodrigues, C.M. and Maiden, M.C., 2018. A world without bacterial meningitis: how genomic epidemiology can inform vaccination strategy. F1000Research, 7.