Change of Outcomes in Pediatric Intestinal Failure: Use of Time-Series Analysis to assess the evolution of an Intestinal Rehabilitation Program |
Oliveiraet al.2525 Oliveira C, Silva NT, Stanojevic S, Avitzur Y, Bayoumi AM, Ungar WJ, Hoch JS, Wales PW. Change of Outcomes in Pediatric Intestinal Failure: Use of Time-Series Analysis to assess the evolution of an Intestinal Rehabilitation Program. J Am Coll Surg. 2016; 222 (6): 1180-8.(2016) |
The study evidenced the versatility of the ARIMA method, expanding its scope of application in the clinic. The efficacy of the treatment options in the improvement of the clinical status of neonatal or infantile intestinal failure was assessed, showing the downward trend in the primary outcome (mortality). |
Post Millennium Development Goals Prospect on Child Mortality in India: An Analysis Using Autoregressive Integrated Moving Averages (ARIMA) Model |
De et al.1515 De P, Sahu D, Pandey A, Gulati BK, Chandhiok N, Shukla AK, Mohan P, Mitra RG. Post Millennium Development Goals Prospect on Child Mortality in India: An Analysis Using Autoregressive Integrated Moving Averages (ARIMA) Model. Health. 2016; 8 (15): 1845-72. (2016) |
The ARIMA modeling was used to support the monitoring of the Sustainable Development Goals in India and forecast the health care actions to be given priority in order to achieve the respective goals, as well as an essential tool for formulating an overall national health planning. |
Predicting infant mortality in India using time series models |
Singh and Singh2626 Singh MP, Singh RD. Predicting infant mortality in India using time series models. Int J Statistics Appl Mathematics. 2018; 3(5): 33-42. (2018) |
The method was applied to forecast the child mortality rate in some states of India. It allowed the comparison between the respective historical series and the forecasts. |
Trend of Neonatal Mortality in Nigeria from 1990 to 2017 using Time Series Analysis |
Usman et al.1414 Usman A, Sulaiman MA, Abubakar I. Trend of Neonatal Mortality in Nigeria from 1990 to 2017 using Time Series Analysis. J. Appl. Sci. Environ. Manage. 2019; 23 (5): 865- 9. (2019) |
The ARIMA modeling was used to investigate the trend of incidence of neonatal mortality, making the 20-year forecast. A consistent decline in the neonatal mortality rate is evidenced, in addition to the fact that the local neonatal health policy is operational and committed to reducing the incidence of neonatal deaths. |
Trends and future of maternal and child health in Bangladesh |
Rajia et al.2222 Rajia S, Sabiruzzaman M, Islam MK, Hossain MG, Lestrel PE. Trends and future of maternal and child health in Bangladesh. PLoS One. 2019; 14 (3): e0211875. (2019) |
The method enabled the analysis of the trend of the maternal and child health indicators. With the scenario forecasted for the rates, it is characterized as a potential tool for supporting the decision-making of local management in monitoring and the implications of public policies to achieve the goals proposed in the 2030 Agenda. |
A mortalidade infantil no estado de São Paulo: uma previsão da taxa por meio da modelagem SARIMA |
Chaib2727 Chaib DC. A mortalidade infantil no estado de São Paulo: uma previsão da taxa por meio da modelagem SARIMA. Rev Econ UEG]. 2019; 15 (1): 43-52. (20 1 9) |
The historical series was used to describe the evolution of the child mortality rate over time (1996-2016). The ARIMA method applied enabled evidencing the seasonal behavior of child mortality, as it has drops in specific periods, hence identifying a SARIMA model. The forecast evidences a downward trend for the rate. |
Forecasting Indian infant mortality rate: An application of autoregressive integrated moving average model |
Mishra et al.33 Mishra AK, Sahanaa C, Manikandan M. Forecasting Indian infant mortality rate: An application of autoregressive integrated moving average model. J Family Community Med. 2019; 26 (2): 123-6.(2019) |
The ARIMA modeling allowed defining an overview for a future scenario of child mortality. The forecast was for the nine-year period (2017-2025), with a downward trend. The study highlights one potential of the method: the reliability of the forecast when it estimates the period of the sample using available data. It evidences that it is a statistical tool of great value in health care, supporting the planning of interventions. |
Modeling and Forecasting Infant Deaths in Zimbabwe using ARIMA Models |
Nyoni and Nyoni55 Nyoni SP, Nyoni T. Modeling and forecasting Infant deaths in Zimbabwe using ARIMA Models. JournalNX - A Multidisciplinary Peer Reviewed Journal. 2020; 6 (7): 142- 51.(2020) |
The model was applied to forecast the number of child deaths in a country under peripheral capitalism with a high mortality rate. Having such information would bring gains more effectively to the local health intervention programs. |