Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines

por Carvajal, Thaddeus M., Viacrusis, Katherine M., Hernandez, Lara Fides T., Ho, Howell T., Amalin, Divina M., Watanabe, Kozo
Publicado 2018

Using Google Trends to Examine the Spatio-Temporal Incidence and Behavioral Patterns of Dengue Disease: A Case Study in Metropolitan Manila, Philippines

por Ho, Howell T., Carvajal, Thaddeus M., Bautista, John Robert, Capistrano, Jayson Dale R., Viacrusis, Katherine M., Hernandez, Lara Fides T., Watanabe, Kozo
Publicado 2018

Fine-scale population genetic structure of dengue mosquito vector, Aedes aegypti, in Metropolitan Manila, Philippines

por Carvajal, Thaddeus M., Ogishi, Kohei, Yaegeshi, Sakiko, Hernandez, Lara Fides T., Viacrusis, Katherine M., Ho, Howell T., Amalin, Divina M., Watanabe, Kozo
Publicado 2020

Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study

por Herbuela, Von Ralph Dane Marquez, Karita, Tomonori, Carvajal, Thaddeus Marzo, Ho, Howell Tsai, Lorena, John Michael Olea, Regalado, Rachele Arce, Sobrepeña, Girly Dirilo, Watanabe, Kozo
Publicado 2021

Correction: Early Detection of Dengue Fever Outbreaks Using a Surveillance App (Mozzify): Cross-sectional Mixed Methods Usability Study

por Herbuela, Von Ralph Dane Marquez, Karita, Tomonori, Carvajal, Thaddeus Marzo, Ho, Howell Tsai, Lorena, John Michael Olea, Regalado, Rachele Arce, Sobrepeña, Girly Dirilo, Watanabe, Kozo
Publicado 2021