Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar.

ABSTRACT: For emerging epidemics such as the COVID-19 pandemic, quantifying travel is a key component of developing accurate predictive models of disease spread to inform public health planning. However, in many LMICs, traditional data sets on travel such as commuting surveys as well as non-traditional sources such as mobile phone data are lacking, or, where available, have only rarely been leveraged by the public health community. Evaluating the accuracy of available data to measure transmission-relevant travel may be further hampered by limited reporting of suspected and laboratory confirmed infections. Here, we leverage case data collected as part of a COVID-19 dashboard collated via daily reports from the Malagasy authorities on reported cases of SARS-CoV-2 across the 22 regions of Madagascar. W

SUBMITTER: Ramiadantsoa T 

PROVIDER: S-EPMC8351785 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature