IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA

Background: Healthy houses in developing countries are a critical factor in human health, as the increase in population is not balanced by improvements in local community welfare. This has negative impacts on the environment and human health. Purpose: The aim of this study was to identify unhealthy...

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Main Authors: Yudha Gusti Wibowo, Bimasatyaji Surya Ramadhan, Ummi Kalsum
Format: Article
Language:Indonesian
Published: Universitas Airlangga 2020-05-01
Series:Jurnal Berkala Epidemiologi
Subjects:
Online Access:https://e-journal.unair.ac.id/JBE/article/view/13282
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spelling doaj-2663d7b8d02f48a9b6b8d3e2d0fad9a32020-11-25T03:26:33ZindUniversitas AirlanggaJurnal Berkala Epidemiologi2301-71712541-092X2020-05-018219019910.20473/jbe.V8I22020.190-1999320IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIAYudha Gusti Wibowo0Bimasatyaji Surya Ramadhan1Ummi Kalsum2Universitas JambiUniversitas DiponegoroUniversitas JambiBackground: Healthy houses in developing countries are a critical factor in human health, as the increase in population is not balanced by improvements in local community welfare. This has negative impacts on the environment and human health. Purpose: The aim of this study was to identify unhealthy houses in Kerinci, Indonesia. Method: This research used a descriptive cross-sectional approach. A survey of 122 houses was conducted to determine the characteristics of houses in Kerinci District, Jambi Province, Indonesia. Stratified random sampling was used to obtain representative healthy house data, by using four repetitions on each single question to minimize errors. Results: The results showed that 90% of respondents had a high occupant density. A high number of diseases were already experienced by residents in the area. These diseases were an indication that the area could be classified as unhealthy and included diarrhea (20%), acute respiratory infections (ARI; 13%), malaria (10%), skin diseases (15%), and other diseases (29%). Only 12% of the total respondents reported having no diseases. Conclusion: In the Kerinci District, 98% of houses were classified as unhealthy and as having potentially negative impacts on the health of residents. We recommend the government establish regulations to improve the health of houses and increase economic growth in Kerinci District, Indonesia.https://e-journal.unair.ac.id/JBE/article/view/13282diseases, healthy houses, kerinci district, unhealthy houses
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Yudha Gusti Wibowo
Bimasatyaji Surya Ramadhan
Ummi Kalsum
spellingShingle Yudha Gusti Wibowo
Bimasatyaji Surya Ramadhan
Ummi Kalsum
IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
Jurnal Berkala Epidemiologi
diseases, healthy houses, kerinci district, unhealthy houses
author_facet Yudha Gusti Wibowo
Bimasatyaji Surya Ramadhan
Ummi Kalsum
author_sort Yudha Gusti Wibowo
title IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
title_short IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
title_full IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
title_fullStr IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
title_full_unstemmed IDENTIFYING UNHEALTHY HOUSES IN KERINCI DISTRICT, INDONESIA
title_sort identifying unhealthy houses in kerinci district, indonesia
publisher Universitas Airlangga
series Jurnal Berkala Epidemiologi
issn 2301-7171
2541-092X
publishDate 2020-05-01
description Background: Healthy houses in developing countries are a critical factor in human health, as the increase in population is not balanced by improvements in local community welfare. This has negative impacts on the environment and human health. Purpose: The aim of this study was to identify unhealthy houses in Kerinci, Indonesia. Method: This research used a descriptive cross-sectional approach. A survey of 122 houses was conducted to determine the characteristics of houses in Kerinci District, Jambi Province, Indonesia. Stratified random sampling was used to obtain representative healthy house data, by using four repetitions on each single question to minimize errors. Results: The results showed that 90% of respondents had a high occupant density. A high number of diseases were already experienced by residents in the area. These diseases were an indication that the area could be classified as unhealthy and included diarrhea (20%), acute respiratory infections (ARI; 13%), malaria (10%), skin diseases (15%), and other diseases (29%). Only 12% of the total respondents reported having no diseases. Conclusion: In the Kerinci District, 98% of houses were classified as unhealthy and as having potentially negative impacts on the health of residents. We recommend the government establish regulations to improve the health of houses and increase economic growth in Kerinci District, Indonesia.
topic diseases, healthy houses, kerinci district, unhealthy houses
url https://e-journal.unair.ac.id/JBE/article/view/13282
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