Seasonality of sporotrichosis in Brazil: A modelled analysis of the epidemic in Sao Paulo, 2011-2020

Carregando...
Imagem de Miniatura
Citações na Scopus
0
Tipo de produção
article
Data de publicação
2023
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Citação
MYCOSES, v.66, n.8, p.643-650, 2023
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background: Sporotrichosis is an endemic subcutaneous mycosis classically caused by the Sporothrix schenckii species complex. Recently, sporotrichosis has emerged in Brazil as a cat-transmitted epidemic caused by a new species, Sporothrix brasiliensis. Objectives: To survey the clinical-epidemiological profile of all sporotrichosis cases diagnosed between 2011 and 2020 at a reference hospital in Sao Paulo metropolitan area and evaluate the annual distribution of cases in relation to seasonality. Methods: Patients' demographic and clinical-epidemiological data were surveyed. A generalized linear model was fitted to relate the quarterly number of sporotrichosis cases detected between 2015 and 2019 with precipitation and temperature series. Prediction of the number of cases from 2011 to 2014 was attempted based on the fitted model without the trend component that appears from 2015. Results: Among 271 suspected cases admitted during 2011-2020, 254 were confirmed by fungal isolation and/or clinical-epidemiological criteria. We observed that 2015 onwards the number of cases regularly increased during Autumn and Winter, the driest and coldest stations of the year. We verified that temperature series affected the number of cases (p = .005) because an increase of 1 degrees C in the temperature series was associated with a 14.24% decrease in the average cases number, with the average number of cases increasing by 10.96% (p < .0001) every quarter, corresponding to an annual increase of 52%. Between 2011 and 2014, the predicted number of sporotrichosis cases averaged 10-12 per year, with 33%-38% occurring in the winter. Conclusion: We hypothesize that sporotrichosis seasonality is associated with the felines' oestrus cycle, which may provide alternative, cat-directed approaches to the sporotrichosis epidemic control.
Palavras-chave
epidemiological profile, feline behaviour, seasonality, Sporotrix brasiliensis, uncontrolled epidemic, zoonotic sporotrichosis
Referências
  1. Alencar AP, 2018, J APPL STAT, V45, P1813, DOI 10.1080/02664763.2017.1396295
  2. Almeida-Paes R, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0003094
  3. Barros MBD, 2004, CLIN INFECT DIS, V38, P529, DOI 10.1086/381200
  4. Barrozo LV, 2009, INT J EPIDEMIOL, V38, P1642, DOI 10.1093/ije/dyp207
  5. Bittencourt AA, 2022, BRAZ J MICROBIOL, V53, P739, DOI 10.1007/s42770-022-00713-5
  6. Boletim Epidemiol┬u┬Egico 001/2018/GDTVZ/CVE/SVEA/SVS/SES/RJ, B EPIDEMIOLOGICO
  7. Boletim Epidemiol┬u┬Egico 001/2021/GDTVZ/CVE/SVEA/SVS/SES/RJ, B EPIDEMIOLOGICO
  8. Cameron A. C, 2013, REGRESSION ANAL COUN
  9. Castro RA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075656
  10. Chakrabarti A, 2015, MED MYCOL, V53, P3, DOI 10.1093/mmy/myu062
  11. Comrie AC, 2005, ENVIRON HEALTH PERSP, V113, P688, DOI 10.1289/ehp.7786
  12. Barros MBD, 2011, CLIN INFECT DIS, V52, pE200, DOI 10.1093/cid/cir245
  13. Fernandes GF, 2013, VIRULENCE, V4, P241, DOI 10.4161/viru.23112
  14. Gremiao IDF, 2020, EMERG INFECT DIS, V26, P621, DOI 10.3201/eid2603.190803
  15. FUKUSHIRO R, 1984, ZBL BAKT-INT J MED M, V257, P228, DOI 10.1016/S0174-3031(84)80076-1
  16. Gauchi JP, 2010, COMMUN STAT-SIMUL C, V39, P322, DOI 10.1080/03610910903448799
  17. Gremiao IDF, 2021, BRAZ J MICROBIOL, V52, P107, DOI 10.1007/s42770-020-00365-3
  18. KUSUHARA M, 1988, MYCOPATHOLOGIA, V102, P129, DOI 10.1007/BF00437450
  19. Lopes-Bezerra LM, 2018, MED MYCOL, V56, pS126, DOI 10.1093/mmy/myx103
  20. McGuinness SL, 2016, BMC INFECT DIS, V16, DOI 10.1186/s12879-016-1338-0
  21. Nelson RW., 2015, MED INTERNA PEQUENOS
  22. Pereira SA, 2014, REV SOC BRAS MED TRO, V47, P392, DOI 10.1590/0037-8682-0092-2013
  23. Queiroz-Telles F, 2003, INFECT DIS CLIN N AM, V17, P59, DOI 10.1016/S0891-5520(02)00066-1
  24. Queiroz-Telles F, 2011, MED MYCOL, V49, P225, DOI 10.3109/13693786.2010.539631
  25. Soto MCR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127924
  26. Ramirez-Soto MC, 2018, J FUNGI, V4, DOI 10.3390/jof4030095
  27. Rios ME, 2018, CUREUS J MED SCIENCE, V10, DOI 10.7759/cureus.2906
  28. Rodrigues AM, 2016, PLOS PATHOG, V12, DOI 10.1371/journal.ppat.1005638
  29. Schenck B.R., 1898, B JOHNS HOPKINS HOSP, V93, P286
  30. Se┬u┬║ao T┬u┬cnica de Servi┬u┬║os Meteorol┬u┬Egicos-IAG, ESTACAO METEOROLOGIC
  31. Se┬u┬║ao T┬u┬cnica de Servi┬u┬║os Meteorol┬u┬Egicos-IAG, B CLIMATOLOGICO TRIM
  32. Silva EA., 2015, B EPIDEMIOLOGICO PAU, V113, P1
  33. Silva FB, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43353-w
  34. Smith Dallas J, 2022, MMWR Surveill Summ, V71, P1, DOI 10.15585/mmwr.ss7107a1
  35. Song Y, 2013, J EUR ACAD DERMATOL, V27, P313, DOI 10.1111/j.1468-3083.2011.04389.x
  36. da Silva MBT, 2012, CAD SAUDE PUBLICA, V28, P1867, DOI 10.1590/S0102-311X2012001000006
  37. Thuy L, 2011, CLIN INFECT DIS, V52, P945, DOI 10.1093/cid/cir028
  38. Verma S, 2012, PLOS NEGLECT TROP D, V6, DOI 10.1371/journal.pntd.0001673
  39. Vismer HF, 1997, MYCOPATHOLOGIA, V137, P137, DOI 10.1023/A:1006830131173
  40. Yao L, 2020, MYCOSES, V63, P308, DOI 10.1111/myc.13045