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Personalbild Aditya Lia Ramadona

Aditya Lia Ramadona

Doktorand projekt: Developing and validating a dynamic model of dengue transmission with application to early warning and climate change projections

Handledare: Joacim Rocklöv

Kontakt

E-post
aditya.ramadona@umu.se

Verksam vid

Anknytning
Anknuten som doktorand till Institutionen för epidemiologi och global hälsa
Plats
Epidemiologi och global hälsa, Umeå Universitet, 90185 Umeå
Anknytning
Anknuten som doktorand till Institutionen för folkhälsa och klinisk medicin Enhet: Avdelningen för hållbar hälsa
Plats
5B, Målpunkt PA, Försörjningsvägen 7D, Norrlands universitetssjukhus Epidemiologi och global hälsa, Umeå universitet, 901 87 Umeå
Spatiotemporal prediction of arbovirus outbreak risk: the role of weather and population mobility
Umeå University medical dissertations, 2162
Ramadona, Aditya L.
A Combination of Incidence Data and Mobility Proxies from Social Media Predicts the Intra-Urban Spread of Dengue in Yogyakarta, Indonesia
American Journal of Tropical Medicine and Hygiene, AMER SOC TROP MED & HYGIENE 2019, Vol. 101 : 456-456
Ramadona, Aditya Lia; Tozan, Yesim; Lazuardi, Lutfan; et al.
A combination of incidence data and mobility proxies from social media predicts the intra-urban spread of dengue in Yogyakarta, Indonesia
PLoS Neglected Tropical Diseases, Vol. 13, (4)
Ramadona, Aditya Lia; Tozan, Yesim; Lazuardi, Lutfan; et al.
Using Big Data To Monitor the Introduction and Spread of Chikungunya, Europe, 2017
American Journal of Tropical Medicine and Hygiene, AMER SOC TROP MED & HYGIENE 2019, Vol. 101, (Suppl. 5) : 246-246
Rocklöv, Joacim; Tozan, Yesim; Ramadona, Aditya Lia; et al.
Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017
Emerging Infectious Diseases, Centers for Disease Control and Prevention (CDC) 2019, Vol. 25, (6) : 1041-1049
Rocklöv, Joacim; Tozan, Yesim; Ramadona, Aditya Lia; et al.
Climate services for health: supplementing local and regional dengue early warning systems in the South East Asia with Ocean Nino Index improves outbreak predictions
American Journal of Tropical Medicine and Hygiene, American Society of Tropical Medicine and Hygiene 2017, Vol. 97, (5) : 465-466
Quam, Mikkel B.; Liyanage, Prasad; Appannan, Mahesh; et al.
Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data
PLOS ONE, Vol. 11, (3)
Ramadona, Aditya Lia; Lazuardi, Lutfan; Hii, Yien Ling; et al.
Validating search protocols for mining of health and disease events on Twitter
International Conference on Public Health: Accelerating the achievment of sustainable development goals for the improvement and equitable distribution of population health: Proceeding : 142-143
Ramadona, Aditya Lia; Lazuardi, Lutfan; Sulistyawati, Sulistyawati; et al.
Prediction of dengue virus spatiotemporal outbreak cluster dynamics in Yogyakarta, Indonesia
Ramadona, Aditya Lia; Tozan, Y.; Wallin, J.; et al.
Visa publikationer i DiVA

Forskargrupper

Gruppmedlem
Joacim Rocklöv Lab