Población y Salud en Mesoamérica ISSN electrónico: 1659-0201

OAI: https://revistas.ucr.ac.cr/index.php/psm/oai
Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil.
PDF (Español (España))
HTML (Español (España))
XML
EPUB

Keywords

diarrheal diseases
sanitation
children
temporal analysis
enfermedades diarreicas
saneamiento
ninõs
análisis temporal

How to Cite

Navas-Úbida, S., & Giuffrida, R. (2021). Statistical control charts to assess the incidence of presumably infectious diarrhea reported between 2009 and 2019 in children under 4 years of age in the macro regions of Araçatuba, Marília and Presidente Prudente, São Paulo, Brazil. Población Y Salud En Mesoamérica, 19(2). https://doi.org/10.15517/psm.v19i2.47011

Abstract

Objective: To evaluate the monthly rates of hospitalizations for childhood diarrhea in macro-regions of Araçatuba, Marília and Presidente Prudente, SP, between 2019 -June Between June 2009. Methods: The average rates and their standard deviations for admission of diarrhea in the target population were obtained from DATASUS and standardized for cases x 100,000 inhabitants. Confidence limits were established, occurrences above confidence limits were considered epidemic events. The normality of the data and serial autocorrelation were tested using the Shapiro-Wilk and Durbin-Watson method. Results: All methods detected epidemic occurrences in the three regions. Araçatuba and Marília, the peaks were concentrated in the first half of the decade and Presidente Prudente, close to the middle. The CUSUM method was more sensitive to detect epidemic periods, however the normality data and assumptions have been violated by serial autocorrelation in a few months. The EWMA method was considered the most appropriate. Conclusions: Statistical process control charts can be used to monitor and compare disease incidence between different regions.

https://doi.org/10.15517/psm.v19i2.47011
PDF (Español (España))
HTML (Español (España))
XML
EPUB

References

Abujiya, M. R., Riaz, M., & Lee, M. H. (2013). Enhancing the Performance of Combined Shewhart-EWMA Charts. Quality and Reliability Engineering International, 29(8), 1093–1106. https://doi.org/10.1002/qre.1461

Assis, F. E. A., Wolf, S., Surek, M., De Toni, F., Souza, E. M., Pedrosa, F. O., … Fadel-Picheth, C. M. T. (2014). Impact of Aeromonas and diarrheagenic Escherichia coli screening in patients with diarrhea in Paraná, southern Brazil. The Journal of Infection in Developing Countries, 8(12), 1609–1614. https://doi.org/10.3855/jidc.4434

Baker, J. M., & Alonso, W. J. (2018). Rotavirus vaccination takes seasonal signature of childhood diarrhea back to pre-sanitation era in Brazil. Journal of Infection, 76(1), 68–77. https://doi.org/10.1016/j.jinf.2017.10.001

Benneyan, J. C. (2003). Statistical process control as a tool for research and healthcare improvement. Quality and Safety in Health Care, 12(6), 458–464. https://doi.org/10.1136/qhc.12.6.458

Chao, D. L., Roose, A., Roh, M., Kotloff, K. L., & Proctor, J. L. (2019). The seasonality of diarrheal pathogens: A retrospective study of seven sites over three years. PLOS Neglected Tropical Diseases, 13(8), e0007211. https://doi.org/10.1371/journal.pntd.0007211

Fonseca, P. A. M., Hacon, S. de S., Reis, V. L., Costa, D., & Brown, I. F. (2016). Using satellite data to study the relationship between rainfall and diarrheal diseases in a Southwestern Amazon basin. Ciência & Saúde Coletiva, 21(3), 731–742. https://doi.org/10.1590/1413-81232015213.20162015

Fontoura, V. M., Graepp-Fontoura, I., Santos, F. S., Santos Neto, M., Tavares, H. S. de A., Bezerra, M. O. L., … Nascimento, L. F. C. (2018). Socio-environmental factors and diarrheal diseases in under five-year old children in the state of Tocantins, Brazil. PLOS ONE, 13(5), e0196702. https://doi.org/10.1371/journal.pone.0196702

Gandy, A., & Lau, F. D.-H. (2013). Non-restarting cumulative sum charts and control of the false discovery rate. Biometrika, 100(1), 261–268. https://doi.org/10.1093/biomet/ass066

Gomes, I. C., Mingoti, S. A., & Oliveira, C. D. L. (2011). A novel experience in the use of control charts for the detection of nosocomial infection outbreaks. Clinics, 66(10), 1681–1689. https://doi.org/10.1590/S1807-59322011001000004

Ilmi, N. B., Darti, I., & Suryanto, A. (2020). Dynamical Analysis of a Rotavirus Infection Model with Vaccination and Saturation Incidence Rate. Journal of Physics: Conference Series, 1562, 012018. https://doi.org/10.1088/1742-6596/1562/1/012018

Kamioka, G. A., Madalosso, G., Pavanello, E. I., Sousa, S. C. Z. de, Bassit, N. P., & Sato, A. P. S. (2019). Norovírus no município de São Paulo, 2010-2016: estudo transversal sobre a principal causa de gastroenterite infantil*. Epidemiologia e Serviços de Saúde, 28(2), e2018290. https://doi.org/10.5123/S1679-49742019000200016

Kotloff, K. L. (2017). The Burden and Etiology of Diarrheal Illness in Developing Countries. Pediatric Clinics of North America, 64(4), 799–814. https://doi.org/10.1016/j.pcl.2017.03.006

Lima, A. A. M., Oliveira, D. B., Quetz, J. S., Havt, A., Prata, M. M. G., Lima, I. F. N., … Guerrant, R. L. (2019). Etiology and severity of diarrheal diseases in infants at the semiarid region of Brazil: A case-control study. PLOS Neglected Tropical Diseases, 13(2), e0007154. https://doi.org/10.1371/journal.pntd.0007154

Mbuya, M. N. N., & Humphrey, J. H. (2016). Preventing environmental enteric dysfunction through improved water, sanitation and hygiene: an opportunity for stunting reduction in developing countries. Maternal & Child Nutrition, 12, 106–120. https://doi.org/10.1111/mcn.12220

Mello, C. S., Rodrigues, M. S. do C., Filho, H. B. de A., Melli, L. C. F. L., Tahan, S., Pignatari, A. C. C., & de Morais, M. B. (2018). Fecal microbiota analysis of children with small intestinal bacterial overgrowth among residents of an urban slum in Brazil. Jornal de Pediatria, 94(5), 483–490. https://doi.org/10.1016/j.jped.2017.09.003

Meneguessi, G. M., Mossri, R. M., Segatto, T. C. V., & Reis, P. O. (2015). Morbimortalidade por doenças diarreicas agudas em crianças menores de 10 anos no Distrito Federal, Brasil, 2003 a 2012. Epidemiologia e Serviços de Saúde, 24(4), 721–730. https://doi.org/10.5123/S1679-49742015000400014

Mohammed, M. A. (2004). Using statistical process control to improve the quality of health care. Quality and Safety in Health Care, 13(4), 243–245. https://doi.org/10.1136/qshc.2004.011650

Montgomery, D. . . (2018). Introdução ao Controle Estatístico de Qualidade. In Introdução ao Controle Estatístico de Qualidade.

O’Brien, S. (1997). Do CuSums have a role in routine communicable disease surveillance? Public Health, 111(4), 255–258. https://doi.org/10.1016/S0033-3506(97)00044-9

Oliveira, A. F. de, Leite, I. da C., & Valente, J. G. (2015). Global burden of diarrheal disease attributable to the water supply and sanitation system in the State of Minas Gerais, Brazil: 2005. Ciência & Saúde Coletiva, 20(4), 1027–1036. https://doi.org/10.1590/1413-81232015204.00372014

Reis, R. O. dos, Souza, M. N., Cecconi, M. C. P., Timm, L., Ikuta, N., Simon, D., … Lunge, V. R. (2018). Increasing prevalence and dissemination of invasive nontyphoidal Salmonella serotype Typhimurium with multidrug resistance in hospitalized patients from southern Brazil. The Brazilian Journal of Infectious Diseases, 22(5), 424–432. https://doi.org/10.1016/j.bjid.2018.08.002

Saleh, N. A., Mahmoud, M. A., Jones-Farmer, L. A., Zwetsloot, I., & Woodall, W. H. (2015). Another Look at the EWMA Control Chart with Estimated Parameters. Journal of Quality Technology, 47(4), 363–382. https://doi.org/10.1080/00224065.2015.11918140

Senouci, K., Bendaoud, A., Medles, K., Tilmatine, A., & Dascalescu, L. (2008). Comparative Study between the Shewhart and CUSUM Charts for the Statistic Control of Electrostatic Separation Processes. In 2008 IEEE Industry Applications Society Annual Meeting (pp. 1–5). IEEE. https://doi.org/10.1109/08IAS.2008.103

Troeger, C., Colombara, D. V, Rao, P. C., Khalil, I. A., Brown, A., Brewer, T. G., … Mokdad, A. H. (2018). Global disability-adjusted life-year estimates of long-term health burden and undernutrition attributable to diarrhoeal diseases in children younger than 5 years. The Lancet Global Health, 6(3), e255–e269. https://doi.org/10.1016/S2214-109X(18)30045-7

Troeger, C., Forouzanfar, M., Rao, P. C., Khalil, I., Brown, A., Reiner, R. C., … Mokdad, A. H. (2017). Estimates of global, regional, and national morbidity, mortality, and aetiologies of diarrhoeal diseases: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet Infectious Diseases, 17(9), 909–948. https://doi.org/10.1016/S1473-3099(17)30276-1

Vaz, F. P. C., & Nascimento, L. F. C. (2017). Spatial distribution for diarrhea hospitalization in São Paulo State. Revista Brasileira de Saúde Materno Infantil, 17(3), 475–482. https://doi.org/10.1590/1806-93042017000300004

Woodall, W. H. (2006). The Use of Control Charts in Health-Care and Public-Health Surveillance. Journal of Quality Technology, 38(2), 89–104. https://doi.org/10.1080/00224065.2006.11918593

Woodall, W. H., & Faltin, F. W. (2019). Rethinking control chart design and evaluation. Quality Engineering, 31(4), 596–605. https://doi.org/10.1080/08982112.2019.1582779

Comments

Downloads

Download data is not yet available.