Dataset Information

Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam.

ABSTRACT:

Objectives

This study aimed to examine the potential of combining routine tuberculosis (TB) surveillance and demographic and socioeconomic variables into the Geographic Information System (GIS) to describe the geographical distribution of TB notified incidence in relation to distances to health services as well as local demographic and socioeconomic factors, including population density, urban/rural status, and household poverty rates in Nam Dinh, Vietnam. It also aimed to compare the conventional Generalized Linear Models (GLM) Poisson regression model and Geographically Weighted Poisson Regression (GWPR) models in order to determine the best fitting model that can be used to investigate the relationship between TB notified incidence and distances and the social risk factors.

Methods

The data of new and relapse patients with all forms of TB aged ?15 years residing in Nam Dinh (Vietnam) from 2012 to 2015 were collected from the Administration of Medical Services' (Ministry of Health of Vietnam) TB surveillance database. Data on the population and household poverty rates from 2012 to 2015 were gathered from the Nam Dinh Statistical Office. Distances between communes and the nearest TB diagnostic facilities in districts were computed. The TB notified incidence per 100,000 population was denoted by indirect age and sex standardized incidence ratio. GLM Poisson regression and GWPR were performed to assess the relationship between distance and TB incidence.

Results

The average notified TB incidence level measured from 2012 to 2015 is 82 per 100,000 population (range: 79-84/100,000). The distance to the nearest TB diagnosis presents a negative effect on TB notified incidence. By capturing spatial heterogeneity, the GWPR may be better at fitting data (corrected Aikake information criterion [AICc] = 245.71, residual deviance = 221.12) than the traditional GLM (AICc = 251.53, residual deviance = 241.21).

Conclusions

GIS technologies benefit TB surveillance system. Distances should be considered when planning methods of improving access for those who live far from TB diagnostic services, thereby improving TB detection. Additional studies must confirm the association between geographic distance and TB case detection and must explore other factors that may affect TB notified incidence.

SUBMITTER: Bui LV

PROVIDER: S-EPMC6231628 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam.

Bui Long Viet LV Mor Zohar Z Chemtob Daniel D Ha Son Thai ST Levine Hagai H

PloS one 20181112 11

<h4>Objectives</h4>This study aimed to examine the potential of combining routine tuberculosis (TB) surveillance and demographic and socioeconomic variables into the Geographic Information System (GIS) to describe the geographical distribution of TB notified incidence in relation to distances to health services as well as local demographic and socioeconomic factors, including population density, urban/rural status, and household poverty rates in Nam Dinh, Vietnam. It also aimed to compare the co ...[more]

PMID: 30419051

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Project description:OBJECTIVES:Antiretroviral therapy (ART) has facilitated the transition of HIV infection into a chronic disease, where adherence to medications is required along with keeping a healthy lifestyle. Therefore, an increase in physical activity has been recommended for patients with HIV in order to maintain their health status. This study looked to determine the physical activity level and its associated factors among patients with HIV receiving ART treatment. SETTINGS:Eight outpatient clinic sites across different levels of the health systems in both rural and urban settings in Hanoi and Nam Dinh, Vietnam. STUDY DESIGN AND PARTICIPANTS:A cross-sectional study was performed among 1133 patients with HIV receiving ART treatment from January to August 2013. PRIMARY AND SECONDARY OUTCOME MEASURES:Physical activity level was measured using the International Physical Activity Questionnaire (IPAQ). Socioeconomic, health-related quality of life, ART adherence and ART-related characteristics were self-reported. RESULTS:16% of participants were inactive, and 68% were reported active via health-enhancing physical activity. Rural participants reported a higher level of physical activity compared with urban participants. Participants having a longer duration of ART were less likely to be physically active. Participants who were female and self-employed, who had higher CD4 cell count, higherEuroQol - 5 dimensions - 5levels (EQ-5D-5L) index/EQ-Visual Analogue Scale, and shared their health status with their peers were more likely to have a higher IPAQ score or be physically active. A lower IPAQ score was associated with participants living in urban areas and being at the symptomatic stage. Participants having poor adherence and longer duration of ART were more likely to be physically inactive. CONCLUSION:The majority of participants who received ART were physically active. There is a need for interventions to promote physical activity among patients with HIV in urban areas and in the later ART treatment phases. Other potential interventions to increase the level of physical activity include peer support and job guidance.

Dataset Information

Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam.

Objectives

Methods

Results

Conclusions

Publications

Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam.

Similar Datasets

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