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Disease Profile

Bacterial

Meningococcal disease

脑膜炎球菌病

Meningococcal disease, as used in this surveillance profile, corresponds to invasive meningococcal disease (IMD) caused by Neisseria meningitidis [1]. The source literature describes IMD as unpredictable, regionally variable, and continuously evolving, with changing serogroup patterns over time [2]. Available evidence also notes a recent rise in antibiotic-resistant isolates, which has implications for treatment and chemoprophylaxis options [1].

Definition

Meningococcal disease is the invasive disease caused by the human pathogen Neisseria meningitidis [1]. In the source material, it is described through the lens of invasive meningococcal disease (IMD), a condition that usually presents as meningitis, bacteremia, or sepsis [1]. The available sources do not provide additional source-backed characterization of noninvasive syndromes, pathogenesis, or laboratory definition, so those details are not yet available.

Clinical features

The source evidence identifies the usual invasive presentations as meningitis, bacteremia, and sepsis [1]. No further source-backed symptom chronology, complication profile, or outcome pattern is provided in the supplied material, so more detailed clinical course information is not yet available. The resistance-focused review adds that resistant isolates have increased over the last two decades, including resistance to penicillin and fluoroquinolones, which is clinically relevant to management and prevention context but does not by itself define the syndrome [1].

Epidemiology

The epidemiology of invasive meningococcal disease is described as unpredictable, regionally variable, and continuously evolving [2]. A review of surveillance reports and published articles from 2010 to 2019 across 77 countries found that global incidence was generally low, but with substantial variation between regions in circulating serogroups [2]. Highest incidence was usually observed in infants, generally followed by young children and adolescents/young adults, with older adults also affected in some countries [2]. Globally, serogroup B was predominant in most countries, while serogroups W and Y increased in several regions during 2010 to 2019; serogroups A, B, C, W, and Y accounted for the vast majority of IMD cases [2].

Transmission

The supplied sources do not explicitly state the transmission route or exposure mechanism for meningococcal disease, so source-backed transmission detail is not yet available. The material does indicate that the organism is a human pathogen and that surveillance and chemoprophylaxis are relevant to control, but it does not provide direct transmission wording [1].

Risk groups

The source evidence identifies infants as having the highest incidence, generally followed by young children and adolescents/young adults, with older adults also affected in some countries [2]. Beyond age, the supplied material does not provide additional source-backed high-risk group detail. One review notes special populations such as individuals on complement inhibitors, but this is presented as a topic of review rather than a fully characterized risk estimate in the provided snippet [1].

Prevention

The source literature indicates that vaccines are available to prevent disease due to serogroups A, B, C, W, and Y, although these serogroups still accounted for the vast majority of IMD cases in the reviewed period [2]. The resistance review notes that increasing antibiotic resistance affects chemoprophylaxis and treatment options, underscoring the need for enhanced global surveillance [1]. No further source-backed details are available here on specific vaccine schedules, contact management, or other exposure-control measures.

Surveillance note

In surveillance settings, meningococcal disease should be read as an invasive, serogroup-variable infection with low global incidence but marked regional and age-related heterogeneity [2]. The source literature emphasizes that serogroup distribution can shift over time, including notable increases in W and Y in several regions, so trend monitoring should consider both incidence and serogroup composition [2]. The emergence of antibiotic-resistant isolates, especially penicillin- and fluoroquinolone-resistant strains, is also a relevant monitoring signal because it may affect chemoprophylaxis and treatment policy [1].

References
  1. 1 Rodriguez E et al. Progression of antibiotic resistance in Neisseria meningitidis. Clin Microbiol Rev. 2025 Mar 13. PMID: 39887238. doi: 10.1128/cmr.00215-24. PubMed: https://pubmed.ncbi.nlm.nih.gov/39887238/
  2. 2 Pardo de Santayana C et al. Epidemiology of invasive meningococcal disease worldwide from 2010-2019: a literature review. Epidemiol Infect. 2023 Mar 6. PMID: 37052295. doi: 10.1017/S0950268823000328. PubMed: https://pubmed.ncbi.nlm.nih.gov/37052295/
  3. 3 PubMed record 1. PubMed indexed record. 2024 Mar 19. PMID: 38843370. PubMed: https://pubmed.ncbi.nlm.nih.gov/38843370/
  4. 4 Meningococcal disease. African Journal of Emergency Medicine. 2011. doi: 10.1016/j.afjem.2011.07.007. DOI: https://doi.org/10.1016/j.afjem.2011.07.007
  5. 5 Meningococcal Disease. Infection Prevention and Control. 2008. doi: 10.1002/9780470988091.ch13. DOI: https://doi.org/10.1002/9780470988091.ch13
  6. 6 Meningococcal Disease. Clinical Nurse Specialist. 2018. doi: 10.1097/nur.0000000000000347. DOI: https://doi.org/10.1097/nur.0000000000000347
Coding Register
ICD-10
ICD-11
Key Statistics
Total cases
17K
Total deaths
214
Peak month
2018-01
Coverage
9 reporting countries · 2000-01-01 → 2026-06-20

Figure 1 | Full historical trajectories across all reporting countries.

Figure 2 | Year-over-year monthly comparison for seasonality and structural shifts.

Dataset Archive

Supplementary Data | Multi-country disease dataset

Machine-readable multi-country disease dataset (JSON/CSV) with source metadata.

Rows
3,021
Data Version
2026-06-20
Coverage
Included metadata
Source links, scope, cadence

Source Register

Official sources and update cadences used to construct the downloadable dataset.

AU
Australia NINDSSmonthlymicrosoft_bi

Australia

Australian national notifiable diseases surveillance dashboard.

Official source
CH
Switzerland FOPH IDDweeklyrest_api

Switzerland

Switzerland FOPH/BAG IDD mandatory reporting API normalized to national case rows. Monthly series may use the dashboard CHFL aggregate where CH-only monthly series are not exposed.

Official source
CN
China CDC WeeklyMONTHLYweb

China

Monthly notifiable infectious disease reports published by China CDC.

Official source
CN
National Disease Control and Prevention AdministrationMONTHLYweb

China

Official China public health bulletin and query portal.

Official source
CN
PubMedMONTHLYweb

China

Biomedical literature discovery feed used as supplementary context.

Official source
HK
Hong Kong, China CHP Notifiable Diseasesmonthlyopen_data_csv

Hong Kong, China

Hong Kong, China CHP annual notifiable infectious disease CSVs normalized to national monthly totals

Official source
JP
JP NIID Weeklyweeklyweb

Japan

Japan weekly infectious disease surveillance via NIID/JIHS.

Official source
KR
Korea KDCA EIDmonthlyopen_api_or_portal_download

South Korea

Korea KDCA notifiable infectious disease OpenAPI or portal/KOSIS downloads aggregated to national monthly notification counts.

Official source
NZ
phf_monthlymonthlyweb

New Zealand

PHF Science (formerly ESR) monthly notifiable disease surveillance data via internal globalID2 crawler

Official source
TW
Taiwan, China CDC NIDSSmonthlyopen_data_csv

Taiwan, China

Taiwan, China monthly notifiable infectious disease open-data CSV feed.

Official source
US
US CDC NNDSSweeklyapi

United States

CDC National Notifiable Diseases Surveillance System provisional data.

Official source
Suggested presentation pattern: cite the data version and coverage window when exporting charts or tables for publication.