A Spatial Data Model for HIV/AIDS Surveillance and Monitoring in Nigeria

Idowu, Peter Adebayo

doi:10.4018/jehmc.2012040104

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Idowu et al [17] addressed the problem of environmental health monitoring system facing Nigeria as a whole. Environment and the factors that are associated with it are the root causes of many epidemic diseases both in the developed and developing nations.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria

Idowu¹,

Komolafe²,

Oladejo³

2018

AJMCM

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This paper identified the risk factors for environmental health related diseases and formulated a fuzzy logic based predictive model based on the identified variables. Related literatures were reviewed so as to understand the body of knowledge surrounding environmental health related diseases and their corresponding risk factors, interviews with community health officers were conducted in order to validate the identified variables. Fuzzy logic was used to formulate the predictive model using Matlab Fuzzy logic tool box. Data was collected from five different states in Nigeria. The result showed that there are cases of environmental related diseases in the areas where there is no potable water and in locations that lack good toilet facilities. In the areas where there is no toilet facility or where bucket and bush are used as toilet, there are always cases of cholera. In these areas during the rainy season cholera outbreaks are common occurrences. All these points to fact that, if there is a good environmental health tracking system with predictive features, then environmental health officers would be able to easily monitor, manage and track any area which may be prone to any of these environmental health diseases.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria

Idowu¹,

Komolafe²,

Oladejo³

2018

AJMCM

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“…Today, they are used by practitioners from various backgrounds across an array of agencies for a variety of purposes. These technologies are employed at local, national, and international levels for purposes including disaster management (Amamoo-Otchere & Akuetteh, 2005;Wood, 2000;Zakour & Harrell, 2004), monitoring disease outbreaks (Ailes et al, 2014;Hershey et al, 2011;Idowu, 2011), and monitoring of refugee situations (Bjorgo, 2000;Kemper, Jenerowicz, Gueguen, Poli, & Soille, 2011).…”

Section: Gis Applicationsmentioning

confidence: 99%

The use of geographic information systems (GIS) in conducting a needs assessment of seniors in Collier County

Felke

2015

ASW

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Despite boasting a population where approximately 50% of individuals are aged 65 or older, Collier County has few services specifically targeting this population. This project utilized geographic information systems (GIS) to examine the current needs of the senior population in a defined section of Collier County, Florida. Various data points regarding the population age 65 and over were obtained using the U.S. Census Bureau’s American FactFinder tool. This data was incorporated into digital maps that included the census tracts of the selected geographic area, locations of existing programs/services, and the existing transportation network. The results of the spatial analysis were corroborated by data collected via key informant interviews and focus groups. The result of the project was the establishment of the first senior access center in Collier County. The project reinforces the use of GIS technologies for the purposes of needs assessment and siting program locations in the human services.

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Online Spatial HIV/AIDS Surveillance and Monitoring System for Nigeria

Idowu

2016

Improving Health Management Through Clinical Decision Support Systems

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HIV/AIDS has now become a big threat to the world generally, most especially the Sub-Saharan Africa region as it continues to increase drastically in the region. This disease has increased the poverty level of the countries in the region. In Nigeria, millions of people infected with this deadly disease are in their productive years between 15 and 49. This surge is having a negative effect on Nigeria and other Sub-Saharan Africa countries as it lowers life expectancy, slows population growth and social and economic effect on the country. Presently, health officers in Nigeria primarily rely on monitoring HIV/AIDS prevalence only among women attending antenatal clinics as that is the only source of getting data from HIV/AIDS patients. In the country, there is no electronic HIV/AIDS database, no electronic means of capturing HIV/AIDS data and no electronic monitoring of HIV/AIDS patients. This chapter presents a prototypical HIV/AIDS surveillance and monitoring system and the prototype was developed using Dreamweaver, PHP and MySQL. With this system, users could spatially query the pattern and distribution of any HIV/AIDS disease using any known location. Also, queries based on occupation, level of education, and gender among other things are possible with this system. Though the system was developed for Nigeria, it can also be extended to other countries within Sub-Saharan Africa region.

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A Spatial Data Model for HIV/AIDS Surveillance and Monitoring in Nigeria

Cited by 5 publications

References 11 publications

Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria

Fuzzy Logic Model to Forecast Environmental Related Health Diseases in Nigeria

The use of geographic information systems (GIS) in conducting a needs assessment of seniors in Collier County

Online Spatial HIV/AIDS Surveillance and Monitoring System for Nigeria

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