Weekly dynamics of suspected acute meningoencephalitis cases in Paraguay, 2025–2026
DOI:
https://doi.org/10.66476/mf.v3n2.7414Keywords:
meningoencephalitis, epidemiological surveillance, central nervous system infections, time series, primary health care, ParaguayAbstract
Introduction: Acute meningoencephalitis (AME) is a rapidly progressing neuroinfectious emergency with high case fatality and a risk of neurological sequelae. Continuous surveillance guides early clinical suspicion and resource allocation in primary care and emergency services. The objective was to describe the weekly dynamics of suspected AME notifications in the Paraguayan surveillance system in 2025 and 2026.
Materials and methods: Observational, descriptive, retrospective time-series study based on aggregated weekly notifications from the AME Dashboard of the Directorate General of Health Surveillance (DGVS), Ministry of Public Health and Social Welfare, extracted on 22 September 2026 by epidemiological week (EW) of symptom onset. All 53 EW of 2025 (n = 581) and EW 1 to 38 of 2026 (n = 335) were analyzed. The main interannual comparison was restricted to EW 1 to 36, because EW 37 and 38 of 2026 were the most recent and incomplete; EW 1 to 30 and 1 to 38 were analyzed as sensitivity analyses.
Results: In 2025, 581 suspected cases were notified (9.1 per 100 000 inhabitants). In EW 1 to 36, 397 cases were notified in 2025 and 328 in 2026 (change of −17.4 %; weekly mean 11.03 ± 3.20 versus 9.11 ± 3.04). The change was −20.5 % in EW 1 to 30 and −20.8 % in EW 1 to 38. Weekly variability was close to that expected by chance (variance-to-mean ratio 0.93 in 2025 and 1.01 in 2026) and the two years were not concordant (r = −0.16).
Conclusions: Notifications of suspected AME were lower in 2026 than in 2025, by 17 % to 21 % depending on the period compared. The analysis does not allow claims of seasonality or attribution of the difference to a change in incidence, and the data do not distinguish etiology. Clinical suspicion and immediate referral should be maintained throughout the year, and notification and update dates should be recorded to measure reporting delay.
Downloads
References
GBD 2016 Meningitis Collaborators. Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018;17(12):1061-82. https://doi.org/10.1016/S1474-4422(18)30387-9
Hasbun R. Progress and challenges in bacterial meningitis: a review. JAMA. 2022;328(21):2147-54. https://doi.org/10.1001/jama.2022.20521
World Health Organization. Defeating meningitis by 2030: a global road map. Geneva: World Health Organization; 2021. Disponible en: https://www.who.int/publications/i/item/9789240026407
Organización Panamericana de la Salud. Derrotando la meningitis hasta el 2030: lanzamiento de la hoja de ruta regional [Internet]. Washington, D. C.: OPS; 2021. Disponible en: https://www.paho.org/es/eventos/derrotando-meningitis-hasta-2030-lanzamiento-hoja-ruta-regional
León ME, Kawabata A, Nagai M, Rojas L, Chamorro G, et al. Genotipos de aislamientos de *Neisseria meningitidis* de pacientes con enfermedad meningocócica en Paraguay, 1996-2015. Rev Panam Salud Publica. 2019;43:e10. https://doi.org/10.26633/RPSP.2019.10
Lovera D, Arbo A. Risk factors for mortality in Paraguayan children with pneumococcal bacterial meningitis. Trop Med Int Health. 2005;10(12):1235-41. https://doi.org/10.1111/j.1365-3156.2005.01513.x
Lovera D, Amarilla S, Araya S, Galeano F, González N, Martínez de Cuellar C, et al. Risk factors for death and severe neurological sequelae in childhood bacterial meningitis. Pediatr Emerg Care. 2022;38(12):637-43. https://doi.org/10.1097/PEC.0000000000002651
Ramalho E, Sousa I, Burlandy F, Costa E, Dias A, Serrano R, et al. Identification and phylogenetic characterization of human enteroviruses isolated from cases of aseptic meningitis in Brazil, 2013–2017. Viruses. 2019;11(8):690. https://doi.org/10.3390/v11080690
Carod-Artal FJ, Wichmann O, Farrar J, Gascón J. Neurological complications of dengue virus infection. Lancet Neurol. 2013;12(9):906-19. https://doi.org/10.1016/S1474-4422(13)70150-9
Ministerio de Salud Pública y Bienestar Social (Paraguay), Dirección General de Vigilancia de la Salud. Dashboard de vigilancia universal de casos sospechosos de meningoencefalitis aguda (M.E.A.) según semana epidemiológica [Internet]. Asunción: DGVS; 2026 [citado 22 sep 2026]. Disponible en: https://sistemasdgvs.mspbs.gov.py/sistemas/menin/
Ríos-González CM. El sistema de salud en Paraguay: estructura, funcionamiento y desafíos actuales. Rev Salud Publica Parag. 2025;15(2):29-41. https://doi.org/10.18004/rspp.2025.ago.06
González de Lamas AG, Carvalho Deolindo DK, De Carvalho Kopke AL, Pérez Sosa NT, Gauto Martínez CA, Franco HA, et al. Perfil epidemiológico, demográfico y de vulnerabilidad en una Unidad de Salud de la Familia de Paraguay: Implicaciones para la integración academia-servicio. Scripta Scientia. 2026;1:e61. https://doi.org/10.66201/ss.v1.61
Venkatesan A, Tunkel AR, Bloch KC, Lauring AS, Sejvar J, Bitnun A, et al. Case definitions, diagnostic algorithms, and priorities in encephalitis: consensus statement of the International Encephalitis Consortium. Clin Infect Dis. 2013;57(8):1114-28. https://doi.org/10.1093/cid/cit458
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453-7. https://doi.org/10.1016/S0140-6736(07)61602-X
Instituto Nacional de Estadística (Paraguay). Estimaciones y proyecciones de la población nacional por sexo y edad, 1950-2050. Asunción: INE; 2025. Disponible en: https://www.ine.gov.py/publication-single.php?codec=266
World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20):2191-4. https://doi.org/10.1001/jama.2013.281053
Council for International Organizations of Medical Sciences (CIOMS). International ethical guidelines for health-related research involving humans. Geneva: CIOMS; 2016. https://doi.org/10.56759/rgxl7405
Bastos LS, Economou T, Gomes MFC, Villela DAM, Coelho FC, Cruz OG, et al. A modelling approach for correcting reporting delays in disease surveillance data. Stat Med. 2019;38(22):4363-77. https://doi.org/10.1002/sim.8303
Höhle M, an der Heiden M. Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011. Biometrics. 2014;70(4):993-1002. https://doi.org/10.1111/biom.12194
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Noelia Teresa Pérez Sosa, Alma Graciela González de Lamas, Freddy Arturo Benítez Villalba, Oscar Darío Aquino Martínez, Rubén Darío Ibarrola Valenzuela, Mirna Duarte, Héctor Adrián Franco, Antonella Eunice Antico, Miguel Almeida Viana Neto, Marcos Felipe, Cristian Armando Gauto Martínez

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles are distributed under the Creative Commons Attribution 4.0 International — CC BY 4.0 licence. Authors retain copyright and grant the journal the right of first publication. Any reuse must acknowledge authorship, cite the original source and indicate whether changes were made.











