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10.1016/j.tmaid.2020.101703

http://scihub22266oqcxt.onion/10.1016/j.tmaid.2020.101703
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32360323!7187809!32360323
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suck abstract from ncbi


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pmid32360323      Travel+Med+Infect+Dis 2020 ; 37 (ä): 101703
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  • Can Google(R) trends predict COVID-19 incidence and help preparedness? The situation in Colombia #MMPMID32360323
  • Ortiz-Martinez Y; Garcia-Robledo JE; Vasquez-Castaneda DL; Bonilla-Aldana DK; Rodriguez-Morales AJ
  • Travel Med Infect Dis 2020[Sep]; 37 (ä): 101703 PMID32360323show ga
  • ä
  • |*Coronavirus Infections/epidemiology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |*Pregnancy Complications, Infectious[MESH]
  • |*Zika Virus[MESH]
  • |*Zika Virus Infection[MESH]
  • |Betacoronavirus[MESH]
  • |Blood Donors[MESH]
  • |COVID-19[MESH]
  • |Colombia/epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Male[MESH]
  • |Pregnancy[MESH]
  • |Public Health[MESH]
  • |SARS-CoV-2[MESH]


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