Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jennifer C. McCarroll"'
Autor:
Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
Publikováno v:
Geospatial Health, Vol 17, Iss 1 (2022)
Visceral leishmaniasis (VL) is a neglected tropical disease transmitted by Lutzomyia longipalpis, a sand fly widely distributed in Brazil. Despite efforts to strengthen national control programs reduction in incidence and geographical distribution of
Externí odkaz:
https://doaj.org/article/e09f760fdc4248a8b5d43505f836ede1
Autor:
Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou
Publikováno v:
Geospatial Health, Vol 5, Iss 1, Pp 11-22 (2010)
The purpose of this study was to deepen our understanding of Plasmodium vivax malaria transmission patterns in the People’s Republic of China (P.R. China). An integrated modeling approach was employed, combining biological and statistical models. A
Externí odkaz:
https://doaj.org/article/d54acced33a345bfb8c13b15118d1a22
Autor:
Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone
Publikováno v:
Geospatial Health, Vol 6, Iss 3 (2012)
Accurately defining disease distributions and calculating disease risk is an important step in the control and prevention of diseases. Geographical information systems (GIS) and remote sensing technologies, with maximum entropy (Maxent) ecological ni
Externí odkaz:
https://doaj.org/article/a9b45471ab7a4c1a878c974f01124ed8
Autor:
Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou
Publikováno v:
Geospatial Health, Vol 6, Iss 3 (2012)
The distribution of hookworm in schistosomiasis-endemic areas in Brazil was mapped based on climate suitability. Known biological requirements of hookworm were fitted to data in a monthly long-term normal climate grid (18 x 18 km) using geographical
Externí odkaz:
https://doaj.org/article/7a746c990ddf410599529eb0ca6c7cb2
Autor:
Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
Publikováno v:
Geospatial health. 17(1)
Visceral leishmaniasis (VL) is a neglected tropical disease transmitted by Lutzomyia longipalpis, a sand fly widely distributed in Brazil. Despite efforts to strengthen national control programs reduction in incidence and geographical distribution of
Autor:
Maria Emília Bavia, M.M. El Bahy, Màrius V. Fuentes, Xiao-Nong Zhou, N.R. Bergquist, J.M. Yilma, Oscar K. Huh, John B. Malone, Michele Bernardi, Thomas K. Kristensen, Jennifer C. McCarroll
Publikováno v:
Acta Tropica. 79:7-12
At a team residency sponsored by the Rockefeller Foundation in Bellagio, Italy, 10-14 April 2000 an organizational plan was conceived to create a global network of collaborating health workers and earth scientists dedicated to the development of comp
Publikováno v:
Acta Tropica. 79:73-78
Geographic information system (GIS) risk models for the snail-borne diseases caused by Schistosoma spp. and Fasciola spp. have recently been developed based on climate and satellite-retrieved data on temperature and vegetation coverage. By using thes
Autor:
John B. Malone, Michael T. Kearney, Paula D. Mischler, Ronaldo G C Scholte, Penelope Vounatsou, Jennifer C. McCarroll
Publikováno v:
Scopus-Elsevier
Geospatial Health, Vol 6, Iss 3 (2012)
Geospatial Health, Vol 6, Iss 3 (2012)
Accurately defining disease distributions and calculating disease risk is an important step in the control and prevention of diseases. Geographical information systems (GIS) and remote sensing technologies, with maximum entropy (Maxent) ecological ni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e806cf7b5be0e4f8e612696084ae92fd
Autor:
Xiao-Nong Zhou, Qi Gao, John B. Malone, Guo-Jing Yang, Shui-Sen Zhou, Penelope Vounatsou, Robert Bergquist, Jennifer C. McCarroll, Jürg Utzinger, Marcel Tanner
Publikováno v:
Geospatial Health, Vol 5, Iss 1, Pp 11-22 (2010)
The purpose of this study was to deepen our understanding of Plasmodium vivax malaria transmission patterns in the People’s Republic of China (P.R. China). An integrated modeling approach was employed, combining biological and statistical models. A