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  Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

  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

  08-06-2022

  https://doi.org/10.4081/gh.2022.1095

  1658

  PDF: 973

  HTML: 60
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  Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

  Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

  07-01-2021

  https://doi.org/10.4081/gh.2020.860

  3637

  PDF: 1185

  HTML: 38

• Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

  Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

  26-11-2024

  https://doi.org/10.4081/gh.2024.1265

  910

  PDF: 296

  Supplementary Materials: 138

  HTML: 27

• Schistosoma japonicum risk in Jiangsu province, People's Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River

  Kun Yang, Le-Ping Sun, You-Sheng Liang, Feng Wu, Wei Li, Jian-Feng Zhang, Yi-Xin Huang, De-Rong Hang, Song Liang, Robert Bergquist, Xiao-Nong Zhou

  133-142

  01-11-2013

  https://doi.org/10.4081/gh.2013.61

  3051

  PDF: 1227
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  There is more to satellite imagery than meets the eye

  Robert Bergquist, John B. Malone

  31-05-2022

  https://doi.org/10.4081/gh.2022.1106

  2753

  PDF: 634

  HTML: 31
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  Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

  Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

  09-06-2025

  https://doi.org/10.4081/gh.2025.1370

  1227

  PDF: 787

  HTML: 124
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  Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

  Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus

  11-05-2017

  https://doi.org/10.4081/gh.2017.494

  4701

  PDF: 1707

  HTML: 1296
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  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

  https://doi.org/10.4081/gh.2016.453

  3971

  PDF: 1499

  HTML: 1145

• Geospatial Health: achievements, innovations, priorities

  Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

  25-10-2024

  https://doi.org/10.4081/gh.2024.1355

  1923

  PDF: 724

  HTML: 98
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  Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

  Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

  04-11-2015

  https://doi.org/10.4081/gh.2015.372

  4558

  PDF: 1544

  HTML: 1170

• A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

  Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

  28-03-2024

  https://doi.org/10.4081/gh.2024.1264

  2977

  PDF: 877

  HTML: 92