urban villages
Recently Published Documents


TOTAL DOCUMENTS

246
(FIVE YEARS 100)

H-INDEX

23
(FIVE YEARS 3)

2021 ◽  
Vol 13 (2) ◽  
pp. 113-126
Author(s):  
Hubullah Fuadzy ◽  
Heni Prasetyowati ◽  
Elis Siti Marliyanih ◽  
Asep Hendra ◽  
Abdulah Mubarok Dadang

Abstract. Tasikmalaya city is a high endemic dengue area which contributes to the high number ofdengue cases in West Java province. This study aims to analyze the geographic distribution patternof dengue infection at the village level and identify high-risk urban villages in Tasikmalaya City. Thisstudy analyzed the surveillance data of dengue cases in 2016–2020 which was routinely managed bythe Tasikmalaya City Health Office. Variables analyzed included date, patient’s name and address(villages). The map data in the form of a shape file (shp.) were obtained from BPS in 2019. The spatialautocorrelation analysis uses two approaches, (the global Moran Index and LISA). The results showedthat DHF cases in the Tasikmalaya city tend to increase in the last 5 years (2016–2020). The highestnumber of annual and monthly dengue cases occurred in 2020, (1,744 cases and 307 cases) withthe incidence rate peaked at 262.6561 per 100,000 population. The global Moran index test using asignificance level of 5 showed that there is a spatial autocorrelation between adjacent sub-districts ofdengue cases in Tasikmalaya city every year for the last 5 years (2016–2020, and cumulative). Thevalue of the global moran index (I) shows a positive correlation between urban villages to the numberof annual dengue cases for the last 5 years and is cumulative. It can be concluded that there aresimilarities in the characteristics of DHF cases in adjacent villages or the relationship between DHFcases tends to be spatially clustered.


2021 ◽  
Vol 13 (2) ◽  
pp. 127-136
Author(s):  
Risda Hartati ◽  
Tri Baskoro T. Satoto ◽  
Elsa Herdiana Murhandarwati ◽  
Mutiara Widawati

The incidence rate (IR) of Dengue Hemorrhagic Fever in Papua Province in 2017 was8.04 per 100,000 population, with a case fatality rate (CFR) of 1.12%. In 2016, the Health Offi ce ofJayapura City declared six urban villages as high endemic areas, four urban villages as high sporadicareas, and ten villages as DHF-free areas from a total of 39 urban villages in Jayapura. This studyaims to analyze larval by House index [HI], Container index [CI], Breateu index (BI), and Maya index[MI] as well as the distribution of vector Ae. aegypti in endemic, sporadic and DHF-free areas inJayapura City. The design of this study was a cross-sectional study. This research was conducted fromJanuary to March 2019. Subjects (375 houses) were surveyed according to WHO guidelines basedon its endemicity stratifi cation. Observations of mosquitos’ larvae were done using visual and singlelarvae methods. The result of this research showed that endemic areas had their HI, CI and BI as muchas 43.3%, 16.5%, and 90.0%, respectively, with density fi gure is six. Sporadic areas had their HI,CI and BI as much as 35.4%, 10.9%, and 57.5%, respectively, with density fi gure is fi ve. DHF-freeareas had their HI, CI, and BI as much as 14.8%, 5.7%, and 35.2%, respectively, with density fi gureis fi ve. The Maya index for endemic and sporadic areas was categorized as moderate, while DHF-freeareas were low.


2021 ◽  
Vol 6 (2) ◽  
pp. 56-65
Author(s):  
Mary Ann O’Donnell
Keyword(s):  

Author(s):  
Sri Tjondro Winarno ◽  
Dinariningrum Rahma Winarno

The purpose of this study was to determine the influence of personal and social environment on consumers of organic vegetables in the city of Surabaya, East Java, Indonesia. This research was conducted in 4 (four) urban villages in the city of Surabaya including Jemur Wonosari, Kedungdoro, Mojo, Pagesangan. In this study (consumer behavior) the data obtained were processed using Warp PLS software version 6.0. Based on the results of the analysis of the data obtained, the results obtained that personal factors and social environment have a significant influence on consumer behavior of organic vegetables in the city of Surabaya.


2021 ◽  
Vol 9 ◽  
Author(s):  
Xizan Jin ◽  
Tianzhou Ren ◽  
Nuannuan Mao ◽  
Lili Chen

As a vital source of the demographic dividend, migrant workers living in urban villages have positively contributed to urban economic development and the improvement of urbanization. Although urban villages have had a great impact on public health due to the shabby environments and poor public safety, the large-scale demolition of the urban villages, the supply of affordable housing for migrant workers has decreased drastically, which may lead to the outflow of many migrant workers and consequently affects the sustainable operations of cities. Therefore, this paper takes Hangzhou as an example to study the impact of urban village redevelopment on migrant workers and their migration decisions during urban village redevelopment process. The finding indicates that migrant workers are significantly impacted by large-scale demolition. (1) The number of affected migrant workers is huge. For example, 657,000 migrant workers who lived in around 178 urban villages are affected in Hangzhou (34,468 households). (2) The increase in rent is obvious. (3) Strong expulsion effect: nearly 1/3 migrant workers will decide to leave the city because of the demolition. Furthermore, our binary logistic regression model suggests that the commuting time, living satisfactory, and the rent affordability are factors significantly affecting migration workers' decision to leave and stay in the city. The housing quality and comfort indicators are not significant. This indicates that convenience for employment and high rent avoidance are the major characteristics of migrant workers' housing choice. Hence, in addition to considering whether the harsh environment is harmful to the public health of urban and residents, the interest and characteristics of migrant workers should be considered during the current urban village demolition process. While simply demolishing urban villages, government needs to provide a relatively sufficient amount of low-cost and affordable housing for migrant workers in case migrant workers leave the city in large numbers due to lack of suitable housing in the city.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258085
Author(s):  
Lu Shi ◽  
Willie Leung ◽  
Qingming Zheng ◽  
Jie Wu

Physical activity is important for health. However, there is a lack of literature related to the physical activity levels of adults living in urban villagers, which is a vulnerable population in China. The aim of this study is to compare the physical activity and sedentary behavior engagements between urban villagers and non-urban villagers using the 2019 Luohu Shenzhen, China Community Diagnosis Questionnaire. A total of 1205 adults living in urban villages and non-urban villages were included in the analysis. Unadjusted and multiple multivariate logistic regression were conducted for the dependent variable of engagement in recreational physical activity, frequency of recreational physical activity per week, and hours spent in sedentary behaviors per day. Descriptive analysis was conducted to identify the reasons for not engaging in physical activity among urban villagers and non-urban villagers. Across the included sample, 29.05% were urban villagers and 70.95% were non-urban villagers. The results suggested that urban villagers are more likely to engage in physical activity than non-urban villager (OR = 1.90, 95% CI [1.40, 2.59], p < 0.001). However, it was also found that urban village status had no significant association for frequency in engaging in physical activity and average hours spent in sedentary behaviors. Both urban villagers and non-urban villages indicated that lack of time, lack of safe and appropriate environment, and working in labor intensive occupations as some of the reasons for not engaging in physical activity. There is a need for tailed interventions and policies for promoting physical activity among urban villagers and non-urban villagers. Additional studies are needed to further our understanding of the physical activity behaviors among urban villagers in China.


Sign in / Sign up

Export Citation Format

Share Document