Real-time epidemic forecasting: challenges and opportunities

AN Desai, MUG Kraemer, S Bhatia, A Cori… - Health …, 2019 - liebertpub.com
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-
time epidemic forecasting provides an opportunity to predict geographic disease spread as …

Global distribution and environmental suitability for chikungunya virus, 1952 to 2015

EO Nsoesie, MUG Kraemer, N Golding… - …, 2016 - eurosurveillance.org
Chikungunya fever is an acute febrile illness caused by the chikungunya virus (CHIKV),
which is transmitted to humans by Aedes mosquitoes. Although chikungunya fever is rarely …

Local, national, and regional viral haemorrhagic fever pandemic potential in Africa: a multistage analysis

DM Pigott, A Deshpande, I Letourneau, C Morozoff… - The Lancet, 2017 - thelancet.com
Background Predicting when and where pathogens will emerge is difficult, yet, as shown by
the recent Ebola and Zika epidemics, effective and timely responses are key. It is therefore …

Influence of transportation network on transmission heterogeneity of COVID-19 in China

J Lu, A Lin, C Jiang, A Zhang, Z Yang - Transportation Research Part C …, 2021 - Elsevier
In this paper, we propose a novel approach to model spatial heterogeneity for epidemic
spreading, which combines the relevance of transport proximity in human movement and the …

Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings

MUG Kraemer, N Golding, D Bisanzio, S Bhatt… - Scientific reports, 2019 - nature.com
Human mobility is an important driver of geographic spread of infectious pathogens.
Detailed information about human movements during outbreaks are, however, difficult to …

[HTML][HTML] AI for science: predicting infectious diseases

AP Zhao, S Li, Z Cao, PJH Hu, J Wang, Y Xiang… - Journal of Safety …, 2024 - Elsevier
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …

[引用][C] The animal origin of major human infectious diseases: what can past epidemics teach us about preventing the next pandemic?

G Dharmarajan, R Li, E Chanda, KR Dean, R Dirzo… - Zoonoses, 2022 - Compuscript

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

JN Odhiambo, C Kalinda, PM Macharia, RW Snow… - BMJ global …, 2020 - gh.bmj.com
Background Approaches in malaria risk mapping continue to advance in scope with the
advent of geostatistical techniques spanning both the spatial and temporal domains. A …

Pathogeography: leveraging the biogeography of human infectious diseases for global health management

KA Murray, J Olivero, B Roche, S Tiedt… - Ecography, 2018 - Wiley Online Library
Biogeography is an implicit and fundamental component of almost every dimension of
modern biology, from natural selection and speciation to invasive species and biodiversity …

Lyme disease risks in Europe under multiple uncertain drivers of change

S Li, L Gilbert, SO Vanwambeke, J Yu… - Environmental …, 2019 - ehp.niehs.nih.gov
Background: Debates over whether climate change could lead to the amplification of Lyme
disease (LD) risk in the future have received much attention. Although recent large-scale …