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Characteristics of COVID-19 Cases in Central Java as the 5th Most Populous Province in Indonesia
6th International Conference on Energy, Environment, Epidemiology, and Information System, ICENIS 2021 ; 317, 2021.
Article in English | Scopus | ID: covidwho-2221972
ABSTRACT
Coronavirus Disease-2019 (COVID-19) cases are still increasing, while the epidemiology data is still limited. This study's purpose is to delineate characteristics of 31,407 COVID-19 patients in Central Java. This research involved secondary data acquired from the Health Office of Central Java, which was analysed univariately. The majority of the patients were 19-44-year-old (43.57%), females (50.81%), and private employees (10.53%). The most frequent symptoms were fever (18.85%), cough (18.19%), and shortness of breath (13.71%). Most of the cases were from Semarang City (17.2%), Kudus (6%), Jepara (6%), Demak (5.5%), and Kendal (4.3%), with an Incidence Rate (per 10,000) of 42.79;14.53;14.99;14.90;and 13.84 respectively. Furthermore, most of the patients had no transit history (87.11%), while out of 25 of the foreign transit histories, the United States of America and China contributed 24% and 20%, sequentially. Three-fourths of the domestic transit history was in Central Java, whereas the Special Capital Region of Jakarta, South Sulawesi, and East Java shared 9.79%, 5.99%, and 3.08%. The most common transit history in Central Java was in Semarang City (19.28%) and Kudus (13.91%). In conclusion, the characteristics of COVID-19 cases were varied, and local transmission has occurred, which has spread to 35 cities/districts. © The Authors, published by EDP Sciences.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Energy, Environment, Epidemiology, and Information System, ICENIS 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Energy, Environment, Epidemiology, and Information System, ICENIS 2021 Year: 2021 Document Type: Article