Identifying municipalities most likely to contribute to an epidemic outbreak in Sweden using a human mobility network
The importance of modelling the spreading of infectious diseases as part of a public health strategy has been highlighted by the ongoing coronavirus pandemic. This includes identifying the geographical areas or travel routes most likely to contribute to the spreading of an outbreak. These areas and...
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| Format: | Others |
| Language: | English |
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Luleå tekniska universitet, Institutionen för system- och rymdteknik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85484 |