Literature DB >> 23691630

Temporal patterns and a disease forecasting model of dengue hemorrhagic fever in Jakarta based on 10 years of surveillance data.

Monika S Sitepu1, Jaranit Kaewkungwal, Nathanej Luplerdlop, Ngamphol Soonthornworasiri, Tassanee Silawan, Supawadee Poungsombat, Saranath Lawpoolsri.   

Abstract

This study aimed to describe the temporal patterns of dengue transmission in Jakarta from 2001 to 2010, using data from the national surveillance system. The Box-Jenkins forecasting technique was used to develop a seasonal autoregressive integrated moving average (SARIMA) model for the study period and subsequently applied to forecast DHF incidence in 2011 in Jakarta Utara, Jakarta Pusat, Jakarta Barat, and the municipalities of Jakarta Province. Dengue incidence in 2011, based on the forecasting model was predicted to increase from the previous year.

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Year:  2013        PMID: 23691630

Source DB:  PubMed          Journal:  Southeast Asian J Trop Med Public Health        ISSN: 0125-1562            Impact factor:   0.267


  3 in total

1.  Why should we apply ABM for decision analysis for infectious diseases?-An example for dengue interventions.

Authors:  Florian Miksch; Beate Jahn; Kurt Junshean Espinosa; Jagpreet Chhatwal; Uwe Siebert; Nikolas Popper
Journal:  PLoS One       Date:  2019-08-27       Impact factor: 3.240

2.  Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico.

Authors:  Michael A Johansson; Nicholas G Reich; Aditi Hota; John S Brownstein; Mauricio Santillana
Journal:  Sci Rep       Date:  2016-09-26       Impact factor: 4.379

3.  Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia.

Authors:  Megan O'Driscoll; Natsuko Imai; Neil M Ferguson; Sri Rezeki Hadinegoro; Hindra Irawan Satari; Clarence C Tam; Ilaria Dorigatti
Journal:  PLoS Negl Trop Dis       Date:  2020-03-06
  3 in total

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