Predicting the Transmission of SARS-CoV-2 in Africa: The Case of Namibia

Archive ouverte

Okano, Justin T | Valdano, Eugenio | Mitonga, Honore K | Blower, Sally

Edité par CCSD -

International audience. SARS-CoV-2 transmission models have been fairly inaccurate in their predictions for Africa. Here, based on an analysis of surveillance data from Namibia, we conclude that it is necessary to include spatial demography, and travel, in SARS-CoV-2 transmission models in order to make more accurate predictions for COVID-19 epidemics in Africa.

Consulter en ligne

Suggestions

Du même auteur

Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia

Archive ouverte | Valdano, Eugenio | CCSD

International audience. Twenty-six million people are living with HIV in sub-Saharan Africa; epidemics are widely dispersed, due to high levels of mobility. However, global elimination strategies do not consider mob...

Use of mobile phone data in HIV epidemic control

Archive ouverte | Valdano, Eugenio | CCSD

International audience

A universal long-term flu vaccine may not prevent severe epidemics

Archive ouverte | Vardavas, Raffaele | CCSD

International audience. BackgroundRecently, the promise of a new universal long-term flu vaccine has become more tangible than ever before. Such a vaccine would protect against very many seasonal and pandemic flu st...

Chargement des enrichissements...