Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries

Chang, Aileen Y.; Parrales, Maria E; Jimenez, J Ramos; Sobieszczyk, Magdalena E.; Hammer, Scott M.; Copenhaver, David; Kulkarni, Rajan P.

doi:10.1186/1476-072x-8-49

Cited by 160 publications

(122 citation statements)

References 14 publications

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“…When GIS is utilised in developing countries it must have minimal costs attached. The Ministry of Health in Nicaragua in conjunction with Columbia University in New York have combined Google Earth imaging with a GIS subsidised through the Global Fund to produce a low-cost innovative method to track infectious diseases in resource-poor settings [43]. This consequently allows public health to focus attention on areas where cases cluster.…”

Section: Discussionmentioning

confidence: 99%

Use of a geographic information system to map cases of measles in real-time during an outbreak in Dublin, Ireland, 2011

et al. 2012

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In 2011, there was a large measles outbreak in Dublin. Nationally 285 cases were notified to the end of December 2011, and 250 (88%) were located in the Dublin region. After the first case was notified in week 6, numbers gradually increased, with 25 notified in June and a peak of 53 cases in August. Following public health intervention including a measles-mumps-rubella (MMR) vaccination campaign, no cases were reported in the Dublin region in December 2011. Most cases (82%) were children aged between 6 months and 14 years, and 46 cases (18%) were under 12 months-old. This is the first outbreak in Dublin to utilise a geographic information system for plotting measles cases on a digital map in real time. This approach, in combination with the analysis of case notifications, assisted the department of public health in demonstrating the extent of the outbreak. The digital mapping documented the evolution of two distinct clusters of 87 (35%) cases. These measles cases were infected with genotype D4-Manchester recently associated with large outbreaks across Europe. The two clusters occurred in socio-economically disadvantaged areas and were attributable to inadequate measles vaccination coverage due in part to the interruption of a school-based MMR2 vaccination programme.

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Section: Discussionmentioning

confidence: 99%

Use of a geographic information system to map cases of measles in real-time during an outbreak in Dublin, Ireland, 2011

et al. 2012

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“…These conditions raised problems in data registration. We applied a point random sampling using geographic information system (GIS) supported by Arc View and Google Earth program [14][15][16][17][18] instead of using population data from village offices, in order to tackle its possible poor validity and reliability. We spread points in Google Earth map and marked it by geographical positioning system (GPS) point.…”

Section: Methodsmentioning

confidence: 99%

The social determinants of knowledge and perception on pulmonary tuberculosis among females in Jakarta, Indonesia

2014

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Abstrak AbstractBackground: Indonesia has not resolved tuberculosis burden since its prevalence and incidence has remained high. As the capital of Indonesia with a large population and a high number of tuberculosis cases, Jakarta has a distinctive condition of tuberculosis burden. This study aimed to obtain social determinants of knowledge and perception of pulmonary tuberculosis in an urban community.

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“…Google imagery has already been used profitably in previous studies (Chang et al 2009;Mering et al 2010;Ploton et al 2012;Taylor and Lovell 2012): it has the great advantage of providing free recent very high resolution true color images. For the study area, photointerpretation was performed on Digital Globe 50 cm resolution scenes acquired on November 9 2014.…”

Section: Satellite Imagesmentioning

confidence: 99%

A Simplified Hydrological Method for Flood Risk Assessment at Sub-basin Level in Niger

Fiorillo

Tarchiani

2017

Renewing Local Planning to Face Climate Change in the Tropics

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Flood events are increasing year by year in the Sahel, mainly caused by climate and land use changes. New strategies and tools are necessary to optimize flooding risk reduction plans. This paper presents a new hydrological method (FREM, Flooding Risk Evaluation Method), based on the curve number runoff estimation. The method can be adopted for small-medium basins and is based on the integration of remote sensing techniques with field surveys and participatory mapping. It consists of preliminary identification of the areas and sub-basins that most contribute to the flood risk; scenarios can then be developed in order to: (i) optimize the placement of traditional water retention structures in the elementary sub-basins that contribute most to the overall risk, (ii) assess the contribution of each hydraulic structure to reduce the total risk, (iii) give a priority ranking to these structures identifying those most urgent. The main advantages of this method are that it is easy to use and can be implemented using free available land cover, soil and morphology data and open-source GIS (Geographic Information System) software. A case study for the Ouro Gueladjo basin (Tillabery Region, Niger) is presented.

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Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries

Abstract: Background: Dengue fever is a mosquito-borne illness that places significant burden on tropical developing countries with unplanned urbanization. A surveillance system using Google Earth and GIS mapping technologies was developed in Nicaragua as a management tool.

Cited by 160 publications

References 14 publications

Use of a geographic information system to map cases of measles in real-time during an outbreak in Dublin, Ireland, 2011

Use of a geographic information system to map cases of measles in real-time during an outbreak in Dublin, Ireland, 2011

The social determinants of knowledge and perception on pulmonary tuberculosis among females in Jakarta, Indonesia

A Simplified Hydrological Method for Flood Risk Assessment at Sub-basin Level in Niger

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