Distribution and spatial pattern analysis on dengue cases in Seremban District, Negeri Sembilan, Malaysia

Nuriah Abd Majid, Nurafiqah Muhamad Nazi, Ahmad Fariz Mohamed

Research output: Contribution to journalArticle

Abstract

Dengue fever disease increases alongside urbanization rate in tropical countries. Hence, the need to visualize the distribution pattern of increases is vital for the management of dengue cases, especially in Malaysia. Thus, the dengue surveillance system is proposed for the monitoring of dengue cases using computer-generated modeling for spatial distribution patterns, which is important for management and control. The present study performed distribution and spatial pattern analysis of dengue cases reported in the growing Seremban district in Negeri Sembilan, Malaysia in 2008 and 2009. The purpose of the study is to evaluate the pattern of distribution and determine whether it is clustered or dispersed. A total of 1401 and 1056 cases for dengue-related diseases were reported by the Ministry of Health Malaysia in Seremban district in the years 2008 and 2009, respectively. Three spatial statistical analysis were conducted: Spatial mean center, directional distribution, and standard distant on distribution of dengue cases reported. This study found that the distribution pattern for dengue cases is clustered. Spatial mean center and directional distribution for both sets of years have slight differences. Meanwhile, standard distance for dengue cases reported in the year 2008 is 22,085.82 m, which is bigger than dengue cases reported in 2009, showing a standard distance of 20,318.35 m. More sets of cases throughout years are required in further studies to identify factors that contribute to dengue epidemiology in the Seremban district undergoing urbanization.

Original languageEnglish
Article number3572
JournalSustainability (Switzerland)
Volume11
Issue number13
DOIs
Publication statusPublished - 1 Jul 2019

Fingerprint

Malaysia
district
Epidemiology
Spatial distribution
Statistical methods
Health
urbanization
dengue fever
Monitoring
Disease
epidemiology
distribution
analysis
management
statistical analysis
ministry
surveillance
spatial distribution
monitoring
modeling

Keywords

  • Dengue
  • Directional distribution
  • Spatial mean center
  • Standard distance

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Cite this

Distribution and spatial pattern analysis on dengue cases in Seremban District, Negeri Sembilan, Malaysia. / Majid, Nuriah Abd; Nazi, Nurafiqah Muhamad; Mohamed, Ahmad Fariz.

In: Sustainability (Switzerland), Vol. 11, No. 13, 3572, 01.07.2019.

Research output: Contribution to journalArticle

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