Environmental Information Systems in Malaria Risk Mapping and Epidemic Forecasting

Connor, Stephen J.; Thomson, Madeleine C.; Flasse, S.; Perryman, Anita H.

doi:10.1111/1467-7717.00074

Cited by 39 publications

(27 citation statements)

References 25 publications

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“…Kawa and Sabroza (2002) and Werneck and Maguire (2002) have analyzed historical and spatial determinants, in the city of Rio de Janeiro, Brazil, and Teresina, state of Piauí, Brazil, respectively, for implementation, maintenance, and spread of ACL and their correlation with urban organization and occupation in the periphery of those cities. Hay et al (1997), Connor et al (1998), andKing et al (2004) Therefore, data collection through geoprocessing techniques has contributed to monitor and specially to identify effective and priority control measures for tropical diseases. The present work aims to provide clarification on visceral leishmaniasis in the city of Belo Horizonte, and give subsidies for the central organs of the state in order to promote improvements to the disease control plans.…”

mentioning

confidence: 99%

“…Kawa and Sabroza (2002) and Werneck and Maguire (2002) have analyzed historical and spatial determinants, in the city of Rio de Janeiro, Brazil, and Teresina, state of Piauí, Brazil, respectively, for implementation, maintenance, and spread of ACL and their correlation with urban organization and occupation in the periphery of those cities. Hay et al (1997), Connor et al (1998), and King et al (2004) reported the use of monitoring techniques through satellites in studies on vectors, which has enabled a detailed description of the actual situation of diseases related to space and time. A study by Oliveira et al (2001) on VL in the city of Belo Horizonte, state of Minas Gerais, Brazil, revealed the spatial distribution of the disease after georeferencing 11,048 positive dogs and 158 human cases between 1994 and 1997.…”

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confidence: 99%

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Epidemiology of visceral leishmaniasis through spatial analysis, in Belo Horizonte municipality, state of Minas Gerais, Brazil

Margonari

Freitas²,

Ribeiro³

et al. 2006

Mem. Inst. Oswaldo Cruz

100

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The geographic information system approach has permitted integration between demographic, socio-economic and environmental data, providing In the 1990s, an increasing capacity of data analysis and ease of information accessibility through cheap and simple computational systems was remarkable. Such technology represents a breakthrough in data bank organization, mainly regarding health.Geoprocessing is a broad term that is applied to several technologies of manipulation and processing of geographical data through computational programs. System of geographical information (SGI) is one of the geoprocessing techniques, the most widely used, once it gathers organized data at the stages of data capture by remote sensing, GPS or organization of digital cartographic basis, and organizes systems, which are able to obtain new information and improve knowledge. SGI comprises computational systems used for understanding facts and phenomena that occur in the geographical space. Its capacity of gathering data sets of conventional spatial expression, structuring and integrating them adequately, makes it an essential tool for manipulating geographical information (Pina 1994).Applications of SGI in the field of health have been reported in studies on epidemiological surveys, health service assessment, urbanization, and environment. Moreover, evaluation of endemic diseases from the perspective of several elements involved in the transmission cycle, such as historical, environmental, and social determinants of disease foci, became easier with Geoprocessing techniques (Sabroza et al. 1992, Albuquerque 1993, Thomson & Connor 2000.Geoprocessing technology has enabled scientists to map vectors and analyze environmental factors that affect spatial and temporal distribution of insects. Such techniques have been used to monitor diseases such as malaria, trypanosomiasis, and leishmaniases (Elnaiem et al. 1998, Thomson & Connor 2000.American cutaneous leishmaniasis (ACL) and visceral leishmaniasis (VL) have been studied through geoprocessing techniques by several investigators: Cross et al. (1996), by gathering data from 136 scientific papers, have generated a distribution model of Phlebotomus papatasi in Southeast Asia throughout the year. By using satellite images and field-collected data in Sudan, Elnaiem et al. (1998Elnaiem et al. ( , 2003 and Thomson et al. (1999) observed that several ecological factors are crucial for the presence of Phlebotomus orientalis, the vector of VL in that country. Kawa and Sabroza (2002) and Werneck and Maguire (2002) have analyzed historical and spatial determinants, in the city of Rio de Janeiro, Brazil, and Teresina, state of Piauí, Brazil, respectively, for implementation, maintenance, and spread of ACL and their correlation with urban organization and occupation in the periphery of those cities. Hay et al. (1997), Connor et al. (1998), andKing et al. (2004) Therefore, data collection through geoprocessing techniques has contributed to monitor and specially to identify effective and priority contro...

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mentioning

confidence: 99%

“…Kawa and Sabroza (2002) and Werneck and Maguire (2002) have analyzed historical and spatial determinants, in the city of Rio de Janeiro, Brazil, and Teresina, state of Piauí, Brazil, respectively, for implementation, maintenance, and spread of ACL and their correlation with urban organization and occupation in the periphery of those cities. Hay et al (1997), Connor et al (1998), and King et al (2004) reported the use of monitoring techniques through satellites in studies on vectors, which has enabled a detailed description of the actual situation of diseases related to space and time. A study by Oliveira et al (2001) on VL in the city of Belo Horizonte, state of Minas Gerais, Brazil, revealed the spatial distribution of the disease after georeferencing 11,048 positive dogs and 158 human cases between 1994 and 1997.…”

mentioning

confidence: 99%

Epidemiology of visceral leishmaniasis through spatial analysis, in Belo Horizonte municipality, state of Minas Gerais, Brazil

Margonari

Freitas²,

Ribeiro³

et al. 2006

Mem. Inst. Oswaldo Cruz

100

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“…Widely used environmental proxies include rainfall estimates from cold cloud duration, vegetation indices (such as the normalized difference vegetation index [NDVI]) and surface temperatures (including sea surface temperatures [SST] and land surface temperatures [LST]). 5 Recent work has indicated the potential use of Meteosat thermal infrared data for estimating ambient air temperatures. 6 Numerous studies have been undertaken using NOAAadvanced very high resolution radiometer (AVHRR) data to predict the distribution and abundance of a range of veterinary and medical disease vectors.…”

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confidence: 99%

Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results.

et al. 1999

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Abstract. In line with the renewed World Health Organization Global Malaria Control Strategy, we have advocated the use of satellite imagery by control services to provide environmental information for malaria stratification, monitoring, and early warning. To achieve this operationally, appropriate methodologies must be developed for integrating environmental and epidemiologic data into models that can be used by decision-makers for improved resource allocation. Using methodologies developed for the Famine Early Warning Systems and spatial statistics, we show a significant association between age related malaria infection in Gambian children and the amount of seasonal environmental greenness as measured using the normalized difference vegetation index derived from satellite data. The resulting model is used to predict changes in malaria prevalence rates in children resulting from different bed net control scenarios.

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“…10 With a synthesis of definitions in the literature, we define capacity to learn ( λ ) as the ability to acquire new or modify existing or synthesize different types of information. 11 Learning may occur as part of education, personal development, and training and may be aided by motivation or promotion. Regarding dissemination capacity, there is also a large body of the literature offering alternative definitions.…”

Section: The Modelmentioning

confidence: 99%

“…11 For the determinants of learning, see Senge (1990) for the role of leadership, collaborative work culture and shared vision, Fiol and Lyles (1985) for strategy and learning, Berg v.d. and Sleegers (1996) for experimental mind-set and Marquardt (1996) for technology and structure.…”

Section: The Modelmentioning

confidence: 99%

A method for assessing food security information system

Temel¹,

Kinlay²

2014

IJISAM

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This paper develops a method for assessing food security information system with respect to its structure, connectedness and performance. The paper illustrates how to set up an operational food security information system, identify its leverage components and pathways of information flow, and qualitatively measure its performance in terms of utility obtained from the information. Both a workshop and a questionnaire are designed as means of gathering the data required for the measurement of the performance. The workshop identifies priority information flow patterns and the associated utilities, while the questionnaire gathers the data for the estimation of the organizational learning and information dissemination capacities. Finally, the evaluation of the system is put in perspective by integrating the traditional structure-conduct-performance approach into the method developed.

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Environmental Information Systems in Malaria Risk Mapping and Epidemic Forecasting

Cited by 39 publications

References 25 publications

Epidemiology of visceral leishmaniasis through spatial analysis, in Belo Horizonte municipality, state of Minas Gerais, Brazil

Epidemiology of visceral leishmaniasis through spatial analysis, in Belo Horizonte municipality, state of Minas Gerais, Brazil

Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results.

A method for assessing food security information system

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