| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pantanal. |
|
Data corrente: |
03/10/2001 |
|
Data da última atualização: |
30/03/2017 |
|
Autoria: |
ABDEL-RAHMAN, M.S.; EL-BAHY, M.M.; MALONE, J. B.; THOMPSON, R. A.; EL BAHY, N. M. |
|
Afiliação: |
Cairo University. Faculty of Veterinary Medicine (Giza, Egito); Louisiana State University (Baton Rouge, LA); Monifyia University. Faculty of Veterinary Medicine (Sadat City, Egito). |
|
Título: |
Geographic information systems as a tool for control program management for schistosomiasis in Egypt. |
|
Ano de publicação: |
2001 |
|
Fonte/Imprenta: |
Acta Tropica, v.79, n.1, p.49-57, 2001. |
|
Idioma: |
Inglês |
|
Conteúdo: |
During a 4-year study a geographic information system (GIS) risk model was constructed for predicting the relative risk of schistosomiasis in Kafr El-Sheikh governorate, Egypt. A 1-year 1990-1991 time series on diurnal temperature difference (dT) prepared from the advanced very high resolution radiometer (AVHRR) sensor on the NOAA-11 satellite was used to develop a regional risk model for the Nile delta based on thermal-hydrological domains. A May 15, 1990 Landsat TM scene (path 177, Row 38) was used to develop a local 'village-scale' environmental risk model based on higher resolution satellite sensor data (30 m picture element size at earth surface). Four of ten classes derived from a tasseled cap (Tcap) transformation of the Landsat TM scene were shown to be significantly related to a 5-year Schistosoma mansoni prevalence database from the Ministry of Health. A risk model was developed based on dT and the proportional area of the four Tcap classes in 5 km(2) buffer zones centered on rural health unit (RHU) reporting units. Available historical data on S. mansoni and its snail host Biomphalaria alexandrina, as well as recent field collected data were gathered and incorporated as separate themes. Model validation was done using data collected on snail population bionomics-infection rates, water quality, underground water table and cercariometry at 13 hydrologically representative sites. The role of soil type, water table and water quality was studied at 79 of 154 rural health unit sites. The model permitted retrieval of relevant data by RHU point location. For the first time in Egypt, the Kafr El-Sheikh GIS schistosoma prediction model can support MOH efforts to make more accurate control program decisions based on environmental predilection sites of endemic Schistosomiasis mansoni. MenosDuring a 4-year study a geographic information system (GIS) risk model was constructed for predicting the relative risk of schistosomiasis in Kafr El-Sheikh governorate, Egypt. A 1-year 1990-1991 time series on diurnal temperature difference (dT) prepared from the advanced very high resolution radiometer (AVHRR) sensor on the NOAA-11 satellite was used to develop a regional risk model for the Nile delta based on thermal-hydrological domains. A May 15, 1990 Landsat TM scene (path 177, Row 38) was used to develop a local 'village-scale' environmental risk model based on higher resolution satellite sensor data (30 m picture element size at earth surface). Four of ten classes derived from a tasseled cap (Tcap) transformation of the Landsat TM scene were shown to be significantly related to a 5-year Schistosoma mansoni prevalence database from the Ministry of Health. A risk model was developed based on dT and the proportional area of the four Tcap classes in 5 km(2) buffer zones centered on rural health unit (RHU) reporting units. Available historical data on S. mansoni and its snail host Biomphalaria alexandrina, as well as recent field collected data were gathered and incorporated as separate themes. Model validation was done using data collected on snail population bionomics-infection rates, water quality, underground water table and cercariometry at 13 hydrologically representative sites. The role of soil type, water table and water quality was studied at 79 of 154 rural heal... Mostrar Tudo |
|
Palavras-Chave: |
Advanced very high resolution radiometer; Egito; Modelo. |
|
Thesagro: |
Hidrologia; Schistosoma Mansoni; Sensoriamento Remoto; Sistema de Informação Geográfica; Vegetação. |
|
Thesaurus Nal: |
Biomphalaria alexandrina; Egypt; geographic information systems; hydrology; Landsat; models; remote sensing; vegetation. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02830naa a2200361 a 4500
001 1809087
005 2017-03-30
008 2001 bl --- 0-- u #d
100 1 $aABDEL-RAHMAN, M.S.
245 $aGeographic information systems as a tool for control program management for schistosomiasis in Egypt.
260 $c2001
520 $aDuring a 4-year study a geographic information system (GIS) risk model was constructed for predicting the relative risk of schistosomiasis in Kafr El-Sheikh governorate, Egypt. A 1-year 1990-1991 time series on diurnal temperature difference (dT) prepared from the advanced very high resolution radiometer (AVHRR) sensor on the NOAA-11 satellite was used to develop a regional risk model for the Nile delta based on thermal-hydrological domains. A May 15, 1990 Landsat TM scene (path 177, Row 38) was used to develop a local 'village-scale' environmental risk model based on higher resolution satellite sensor data (30 m picture element size at earth surface). Four of ten classes derived from a tasseled cap (Tcap) transformation of the Landsat TM scene were shown to be significantly related to a 5-year Schistosoma mansoni prevalence database from the Ministry of Health. A risk model was developed based on dT and the proportional area of the four Tcap classes in 5 km(2) buffer zones centered on rural health unit (RHU) reporting units. Available historical data on S. mansoni and its snail host Biomphalaria alexandrina, as well as recent field collected data were gathered and incorporated as separate themes. Model validation was done using data collected on snail population bionomics-infection rates, water quality, underground water table and cercariometry at 13 hydrologically representative sites. The role of soil type, water table and water quality was studied at 79 of 154 rural health unit sites. The model permitted retrieval of relevant data by RHU point location. For the first time in Egypt, the Kafr El-Sheikh GIS schistosoma prediction model can support MOH efforts to make more accurate control program decisions based on environmental predilection sites of endemic Schistosomiasis mansoni.
650 $aBiomphalaria alexandrina
650 $aEgypt
650 $ageographic information systems
650 $ahydrology
650 $aLandsat
650 $amodels
650 $aremote sensing
650 $avegetation
650 $aHidrologia
650 $aSchistosoma Mansoni
650 $aSensoriamento Remoto
650 $aSistema de Informação Geográfica
650 $aVegetação
653 $aAdvanced very high resolution radiometer
653 $aEgito
653 $aModelo
700 1 $aEL-BAHY, M.M.
700 1 $aMALONE, J. B.
700 1 $aTHOMPSON, R. A.
700 1 $aEL BAHY, N. M.
773 $tActa Tropica$gv.79, n.1, p.49-57, 2001.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pantanal (CPAP) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 4 | |
| 1. |  | PREISINGER, H.; AGUIAR, M. O.; ARAUJO, R. da C.; COELHO, L. F.; GASPAROTTO, L.; GOTTSBERGER, G.; MORAIS, R. R. de; RICHTER, K.; SKATULLA, M.; LIEBEREI, R. Indicator value of anthropogenic vegetation in the Amazon. In: GERMAN-BRAZILIAN WORKSHOP ON NEOTROPICAL ECOSYSTEMS, 2000, Hamburg. Programa and abstracts... Hamburg: University, 2000. p. 113| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
|    |
| 2. | | PREISINGER, H.; AGUIAR, M. O.; ARAÚJO, R. da C.; COÊLHO, L. F.; GASPAROTTO, L.; GOTTSBERGER, G.; MORAIS, R. R. de; RICHTER, K.; SKATULLA, M.; LIEBEREI, R. Indicator value of anthropogenic vegetation in the Amazon. In: GERMAN-BRAZILIAN WORKSHOP ON NEOTROPICAL ECOSYSTEMS. ACHIEVEMENTS AND PROSPECTS OF COOPERATIVE RESEARCH, 2000, Hamburg. Proceedings... Hamburg: SHIFT: MADAM: WAVES, 2002. p. 211.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
| |
| 3. | | PREISINGER, H.; SKATULLA, M.; RICHTER, K.; LIEBEREI, R.; GOTTSBERGER, G.; ARAÚJO, R. da C.; MORAIS, R. R. de; GASPAROTTO, L.; COELHO, L. F. Indicator value of anthropogenic vegetation in the Amazon. In: SHIFT PROJECT ENV 23 (Manaus-AM). Recuperação de áreas degradadas e abandonadas, através de sistemas de policultivo. Manaus: EMBRAPA-CPAA: University of Hamburg, 1998. p. 22-30.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
| |
| 4. | | PREISINGER, H.; SKATULLA, M.; RICHTER, K.; LIEBEREI, R.; GOTTSBERGER, G.; ARAUJO, R. da C.; MORAIS, R. R. de; GASPAROTTO, L.; COELHO, L. F. Indicator value of anthropogenic vegetation in the Amazon. In: SHIFT - WORKSHOP, 3., 1998, Manaus. Proceedings... Bonn: BMBF, 1998. p. 313-320.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
| |
| Registros recuperados : 4 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
