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PMC:7795931 / 129-1479 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
5 4-12 Disease denotes COVID-19 MESH:C000657245
6 153-162 Disease denotes infection MESH:D007239
7 1105-1123 Disease denotes infectious disease MESH:D003141

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T4 0-172 Sentence denotes The COVID-19 pandemic imposes new challenges on the capability of governments in intervening with the information dissemination and reducing the risk of infection outbreak.
T5 173-473 Sentence denotes To reveal the complexity behind government intervention decision, we build a bi-layer network diffusion model for the information-disease dynamics that were intervened in and conduct a full space simulation to illustrate the trade-off faced by governments between information disclosing and blocking.
T6 474-771 Sentence denotes The simulation results show that governments prioritize the accuracy of disclosed information over the disclosing speed when there is a high-level medical recognition of the virus and a high public health awareness, while, for the opposite situation, more strict information blocking is preferred.
T7 772-1003 Sentence denotes Furthermore, an unaccountable government tends to delay disclosing, a risk-averse government prefers a total blocking, and a low government credibility will discount the effect of information disclosing and aggravate the situation.
T8 1004-1350 Sentence denotes These findings suggest that information intervention is indispensable for containing the outbreak of infectious disease, but its effectiveness depends on a complicated way on both external social/epidemic factors and the governments’ internal preferences and governance capability, for which more thorough investigations are needed in the future.