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PMC:7795888 / 22744-23663 JSONTXT

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LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T50 266-275 Phenotype denotes anhedonia http://purl.obolibrary.org/obo/HP_0012154
T51 303-313 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T141 0-332 Sentence denotes In conclusion, our result indicate that a relevant percentage of our sample may have experienced relevant depressive symptoms during the early phase of the COVID-19 outbreak and that direct exposure to COVID-19+ confirmed cases, along with emotion dysregulation and anhedonia, may significantly predict depression symptoms severity.
T142 333-568 Sentence denotes It seems fundamental to recognize the potential for mental health consequences of COVID-19 to be large in scale, to identify that these effects can be long-lasting, and to consider preventative action to help mitigate its effects [43].
T143 569-729 Sentence denotes As the pandemic continues, more work is necessary to clarify risk factors associated with mental health negative outcomes related to the COVID-19 outbreak [44].
T144 730-919 Sentence denotes Besides, interventions or policies aimed at empowering emotion regulation strategies and stress resilience may have beneficial effects on health and well-being during the COVID-19 pandemic.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
297 106-125 Disease denotes depressive symptoms MESH:D000275
298 156-164 Disease denotes COVID-19 MESH:C000657245
299 202-210 Disease denotes COVID-19 MESH:C000657245
300 266-275 Disease denotes anhedonia MESH:D059445
301 303-313 Disease denotes depression MESH:D000275
302 415-423 Disease denotes COVID-19 MESH:C000657245
303 706-714 Disease denotes COVID-19 MESH:C000657245
304 819-825 Disease denotes stress MESH:D000079225
305 901-909 Disease denotes COVID-19 MESH:C000657245