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1.
Sci Rep ; 12(1): 19451, 2022 11 14.
Artículo en Inglés | MEDLINE | ID: mdl-36376459

RESUMEN

Despite improved surveillance capacities and WHO recommendations for subdistrict analysis, routine epidemic surveillance of acute bacterial meningitis in the African meningitis belt remains largely limited to the district level. We evaluated the appropriateness and performance of analyses at higher spatial resolution. We used suspected meningitis surveillance data at health centre (HC) resolution from Burkina Faso from 14 health districts spanning years 2004-2014 and analysed them using spatio-temporal statistics and generative models. An operational analysis compared epidemic signals at district and HC-level using weekly incidence thresholds. Eighty-four percent (N = 98/116) of epidemic clusters spanned only one HC-week. Spatial propagation of epidemic clusters was mostly limited to 10-30 km. During the 2004-2009 (with serogroup A meningitis) and 2010-2014 (after serogroup A elimination) period, using weekly HC-level incidence thresholds of 100 and 50 per 100,000 respectively, we found a gain in epidemic detection and timeliness in 9 (41% of total) and 10 (67%), respectively, district years with at least one HC signal. Individual meningitis epidemics expanded little in space, suggesting that a health centre level analysis is most appropriate for epidemic surveillance. Epidemic surveillance could gain in precision and timeliness by higher spatial resolution. The optimal threshold should be defined depending on the current background incidence of bacterial meningitis.


Asunto(s)
Epidemias , Meningitis Bacterianas , Meningitis Meningocócica , Humanos , Meningitis Meningocócica/epidemiología , Burkina Faso/epidemiología , Meningitis Bacterianas/epidemiología , Meningitis Bacterianas/complicaciones , Incidencia
2.
Health Secur ; 18(S1): S98-S104, 2020 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-32004130

RESUMEN

Efficient specimen transport systems are critical for early disease detection and reporting by laboratory networks. In Burkina Faso, centralized reference laboratories receive specimens from multiple surveillance sites for testing, but transport methods vary, resulting in potential delays and risk to specimen quality. The ministry of health and partners, under the Global Health Security Agenda implementation, piloted a specimen transport system for severe acute respiratory illness (SARI) surveillance in 4 Burkina Faso districts. A baseline assessment was conducted of the current specimen transport network structure and key stakeholders. Assessment results and guidelines for processing SARI specimens informed the pilot specimen transport system design and implementation. Monitoring and evaluation performance indicators included: proportion of packages delivered, timeliness, and quality of courier services (missed or damaged packages). Our baseline assessment found that laboratorians routinely carried specimens from the health center to reference laboratories, resulting in time away from laboratory duties and potential specimen delays or loss of quality. The pilot specimen transport system design engaged Sonapost, the national postal service, to transport specimens from SARI sites to the influenza national reference laboratory. From May 2017 to December 2018, the specimen transport system transported 557 packages containing 1,158 SARI specimens; 95% (529/557) were delivered within 24 hours of pick-up and 77% (892/1,158) within 48 hours of collection. No packages were lost. This article highlights lessons learned that may be useful for other countries considering establishment of a specimen transport system to strengthen laboratory system infrastructure in global health security implementation.


Asunto(s)
Manejo de Especímenes/métodos , Transportes/métodos , Burkina Faso , Monitoreo Epidemiológico , Humanos , Servicios Postales , Infecciones del Sistema Respiratorio , Factores de Tiempo
3.
Environ Health Perspect ; 126(9): 97002, 2018 09.
Artículo en Inglés | MEDLINE | ID: mdl-30192160

RESUMEN

BACKGROUND: Bacterial meningitis causes a high burden of disease in the African meningitis belt, with regular seasonal hyperendemicity and sporadic short, but intense, localized epidemics during the late dry season occurring at a small spatial scale [i.e., below the district level, in individual health centers (HCs)]. In addition, epidemic waves with larger geographic extent occur every 7-10 y. Although atmospheric dust load is thought to be an essential factor for hyperendemicity, its role for localized epidemics remains hypothetic. OBJECTIVES: Our goal was to evaluate the association of localized meningitis epidemics in HC catchment areas with the dust load and the occurrence of cases in the same population early in the dry season. METHODS: We compiled weekly reported cases of suspected bacterial meningitis at the HC resolution for 14 districts of Burkina Faso for the period 2004-2014. Using logistic regression, we evaluated the association of epidemic HC-weeks with atmospheric dust [approximated by the aerosol optical thickness (AOT) satellite product] and with the observation of early meningitis cases during October-December. RESULTS: Although AOT was strongly associated with epidemic HC-weeks in crude analyses across all HC-weeks during the meningitis season [odds ratio (OR) [Formula: see text]; 95% CI: 4.90, 9.50], the association was no longer apparent when controlling for calendar week (OR [Formula: see text]; 95% CI: 0.60, 1.50). The number of early meningitis cases reported during October-December was associated with epidemic HC-weeks in the same HC catchment area during January-May of the following year (OR for each additional early case [Formula: see text]; 95% CI: 1.06, 1.21). CONCLUSIONS: Spatial variations of atmospheric dust load do not seem to be a factor in the occurrence of localized meningitis epidemics, and the factor triggering them remains to be identified. The pathophysiological mechanism linking early cases to localized epidemics is not understood, but their occurrence and number of early cases could be an indicator for epidemic risk. https://doi.org/10.1289/EHP2752.


Asunto(s)
Polvo/análisis , Epidemias , Meningitis Meningocócica/epidemiología , Burkina Faso/epidemiología , Humanos , Incidencia , Meningitis Meningocócica/etiología , Estaciones del Año
4.
Sci Rep ; 7(1): 11570, 2017 09 14.
Artículo en Inglés | MEDLINE | ID: mdl-28912442

RESUMEN

Meningococcal meningitis epidemics in the African meningitis belt consist of localised meningitis epidemics (LME) that reach attack proportions of 1% within a few weeks. A meningococcal serogroup A conjugate vaccine was introduced in meningitis belt countries from 2010 on, but LME due to other serogroups continue to occur. The mechanisms underlying LME are poorly understood, but an association with respiratory pathogens has been hypothesised. We analysed national routine surveillance data in high spatial resolution (health centre level) from 13 districts in Burkina Faso, 2004-2014. We defined LME as a weekly incidence rate of suspected meningitis ≥75 per 100,000 during ≥2 weeks; and high incidence episodes of respiratory tract infections (RTI) as the 5th quintile of monthly incidences. We included 10,334 health centre month observations during the meningitis season (January-May), including 85 with LME, and 1891 (1820) high-incidence episodes of upper (lower) RTI. In mixed effects logistic regression accounting for spatial structure, and controlling for dust conditions, relative air humidity and month, the occurrence of LME was strongly associated with high incidence episodes of upper (odds ratio 23.9, 95%-confidence interval 3.1-185.3), but not lower RTI. In the African meningitis belt, meningitis epidemics may be triggered by outbreaks of upper RTI.


Asunto(s)
Meningitis Meningocócica/complicaciones , Meningitis Meningocócica/epidemiología , Infecciones del Sistema Respiratorio/complicaciones , Infecciones del Sistema Respiratorio/epidemiología , Burkina Faso/epidemiología , Brotes de Enfermedades , Humanos , Incidencia , Meningitis Meningocócica/prevención & control , Vacunas Meningococicas/inmunología , Vigilancia de la Población , Infecciones del Sistema Respiratorio/prevención & control , Factores de Riesgo , Estaciones del Año
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