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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.
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Embrapa Pantanal (CPAP) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
14/05/1997 |
Data da última atualização: |
14/05/1997 |
Autoria: |
MORAES, E. A. de; RAMOS, A. K. B.; LEITE, G. G.; BRANCIO, P. A. |
Título: |
Densidade e dominancia do estrato arbustivo, num cerrado Stricto sensu, submetido a queima anual. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
In: EMBRAPA. Centro de Pesquisa Agropecuaria dos Cerrados (Planaltina, DF). Relatorio Tecnico Anual do Centro de Pesquisa Agropecuaria dos Cerrados 1991 a 1995. Planaltina, 1997. |
Páginas: |
p.219-220. |
Idioma: |
Português |
Palavras-Chave: |
Brasil; Estrato vegetal. |
Thesagro: |
Cerrado; Queimada. |
Thesaurus NAL: |
Brazil; burning; plant strata. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00784naa a2200241 a 4500 001 1552938 005 1997-05-14 008 1997 bl uuuu u00u1 u #d 100 1 $aMORAES, E. A. de 245 $aDensidade e dominancia do estrato arbustivo, num cerrado Stricto sensu, submetido a queima anual. 260 $c1997 300 $ap.219-220. 650 $aBrazil 650 $aburning 650 $aplant strata 650 $aCerrado 650 $aQueimada 653 $aBrasil 653 $aEstrato vegetal 700 1 $aRAMOS, A. K. B. 700 1 $aLEITE, G. G. 700 1 $aBRANCIO, P. A. 773 $tIn: EMBRAPA. Centro de Pesquisa Agropecuaria dos Cerrados (Planaltina, DF). Relatorio Tecnico Anual do Centro de Pesquisa Agropecuaria dos Cerrados 1991 a 1995. Planaltina, 1997.
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