Time-series analysis of hepatitis A, B, C and E infections in a large Chinese city: application to prediction analysis

2012 ◽  
Vol 141 (5) ◽  
pp. 905-915 ◽  
Author(s):  
A. SUMI ◽  
T. LUO ◽  
D. ZHOU ◽  
B. YU ◽  
D. KONG ◽  
...  

SUMMARYViral hepatitis is recognized as one of the most frequently reported diseases, and especially in China, acute and chronic liver disease due to viral hepatitis has been a major public health problem. The present study aimed to analyse and predict surveillance data of infections of hepatitis A, B, C and E in Wuhan, China, by the method of time-series analysis (MemCalc, Suwa-Trast, Japan). On the basis of spectral analysis, fundamental modes explaining the underlying variation of the data for the years 2004–2008 were assigned. The model was calculated using the fundamental modes and the underlying variation of the data reproduced well. An extension of the model to the year 2009 could predict the data quantitatively. Our study suggests that the present method will allow us to model the temporal pattern of epidemics of viral hepatitis much more effectively than using the artificial neural network, which has been used previously.

Author(s):  
Ravindra S. Kembhavi ◽  
Saurabha U. S.

Background: Dengue fever is a major public health problem, the concern is high as the disease is closely related to climate change.Methods: This was a retrospective study, conducted for 1 year in a tertiary care hospital in the city of Mumbai. Data of Dengue cases and climate for the city of Mumbai between 2011 and 2015 were obtained. Data was analysed using SPSS- time series analysis and forecasting model.Results: 33% cases belonged to the 21-30 years, proportion of men affected were more than women. A seasonal distribution of cases was observed. A strong correlation was noted between the total number of cases reported and (a) mean monthly rainfall and (b) number of days of rainfall. ARIMA model was used for forecasting.Conclusions: The trend analysis along with forecasting model helps in being prepared for the year ahead. 


Iproceedings ◽  
10.2196/10548 ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. e10548
Author(s):  
Nadine Haddad ◽  
J Gomes Diaz ◽  
A Paez Jimenez ◽  
N Ghosn

Vaccines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 407
Author(s):  
Ana Luiza Bierrenbach ◽  
Yoonyoung Choi ◽  
Paula de Mendonça Batista ◽  
Fernando Brandão Serra ◽  
Cintia Irene Parellada ◽  
...  

Background: In 2014, a recommended one-dose of inactivated hepatitis A vaccine was included in the Brazilian National Immunization Program targeting children 12–24 months. This decision addressed the low to intermediate endemicity status of hepatitis A across Brazil and the high rate of infection in children and adolescents between 5 and 19 years old. The aim of the study was to conduct a time-series analysis on hepatitis A incidence across age groups and to assess the hepatitis A distribution throughout Brazilian geographic regions. Methods: An interrupted time-series analysis was performed to assess hepatitis A incidence rates before (2010–2013) and after (2015–2018) hepatitis A vaccine program implementation. The time-series analysis was stratified by age groups while a secondary analysis examined geographic distribution of hepatitis A cases. Results: Overall incidence of hepatitis A decreased from 3.19/100.000 in the pre-vaccine period to 0.87/100.000 (p = 0.022) post-vaccine introduction. Incidence rate reduction was higher among children aged 1-4 years old, with an annual reduction of 67.6% in the post-vaccination period against a 7.7% annual reduction in the pre-vaccination period (p < 0.001). Between 2015 and 2018, the vaccination program prevented 14,468 hepatitis A cases. Conclusion: Our study highlighted the positive impact of a recommended one-dose inactivated hepatitis A vaccine for 1–4-years-old in controlling hepatitis A at national level.


2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Valéria Miranda Avanzi ◽  
Udelysses Janete Veltrini Fonzar ◽  
Eraldo Schunk Silva ◽  
Jorge Juarez Vieira Teixeira ◽  
Dennis Armando Bertolini

Viral hepatitis is a major public health problem in Brazil and worldwide. We retrospectively analyzed 338 cases of hepatitis A, B and C in Maringá, Paraná State from 2007 through 2010. The hepatitis A virus was present in 5.6% of the cases, hepatitis B in 44.7% and hepatitis C in 49.7%. Most of the patients affected were male (55.3%), white (79.6%) and had some primary education (42.9%). Of the 338 cases analyzed, 13.0% had comorbidities. The cases were concentrated in large-population census zones, but it was concluded that the spatial distribution of viral hepatitis in Maringá occurred randomly rather than show any regular pattern.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S705-S706
Author(s):  
Ana Luiza Bierrenbach ◽  
Yoonyoung Choi ◽  
Paula M Batista ◽  
Fernando Serra ◽  
Cintia Parellada ◽  
...  

Abstract Background Brazil has transitioned from an intermediate to low hepatitis A virus endemic country, increasing the risk of severe Hepatitis A (HepA) disease. To control transmission, the HepA vaccine, MSD, was introduced in the National Childhood Immunization Program (NIP) in 2014 for children aged 12-24 months and extended to children under 5 years old in 2017. We evaluated the impact of the vaccination on the HepA incidence, associated healthcare resource utilization (HCRU), and costs. Methods We conducted an observational, retrospective study using Brazilian National Public Health Data (DATASUS). An interrupted time-series analysis was conducted for incidence rates (IR) of laboratory- or clinically-confirmed Hep A cases. Using a negative binomial regression model, we assessed changes in annual HepA IR between pre- (2010-2013) and post- (2015-2018) HepA vaccination periods and compared to predicted counterfactual rates without HepA vaccination. We compared HCRU and cost of Hep A-associated hospitalizations and outpatient procedures between pre- and post- HepA vaccination periods. Results Between 2010 and 2018, 32,295 Hep A cases occurred across all ages. Among the NIP target children aged 1-4 years, HepA vaccination was associated with an immediate HepA IR decrease (-52,5% of level change) and with a decrease in slope (-7.7% vs -67.6% per year for pre- and post-periods, respectively, Figure 1). We observed a similar trend in non- HepA vaccination target children aged 5-14 years with -57.1% of level change and slope change from -3.4% (pre- HepA vaccination) to -53.7% (post- HepA vaccination) per year (Table 1). Across all age groups, 14,468 Hep A cases were averted when compared to predicted counterfactual rates (Table 2). Overall, HepA-related hospitalization rate dropped 64% after NIP introduction of vaccination resulting in a cost reduction of 55%. The total number of outpatient procedures claimed among HepA-diagnosed patients reduced 18% with 42% cost reduction. Figure 1: time-series analyses of Hepatitis A incidence rate (IR) for NIP target population. Monthly number of hepatitis A cases observed over the study period (black line). Predicted trend based on the pre- HepA vaccination (red line) and post- HepA vaccination (blue line) monthly cases Table 1: Time-series analysis of the impact of the hepatitis A vaccination on the incidence rate level of change, according to age group Table 2: Number of observed, predicted counterfactual, and averted hepatitis A cases in the post- HepA vaccination period (2015-2018), according to age group. Conclusion In Brazil, the single-dose hepatitis A vaccine childhood program effectively reduced the Hepatitis A incidence, HCRU and associated-costs in vaccinated and in some non-vaccinated age groups. Disclosures Ana Luiza Bierrenbach, MD, MSc, PhD, MSD Brazil (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support) Yoonyoung Choi, PhD, MS, RPh, Merck (Employee) Paula M. Batista, BSc, MSD Brazil (Employee) Fernando Serra, MD, MSD Brazil (Employee) Cintia Parellada, MD, PhD, MSD Brazil (Employee) Guilherme Julian, BSc, MSc, IQVIA (Employee)MSD (Consultant, Research Grant or Support) Karina Nakajima, BSc, PhD, IQVIA (Employee)MSD (Consultant, Research Grant or Support) Thais Moreira, MD, MSc, MSD Brazil (Employee)


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