You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Prevalence of high-risk human papillomavirus infection among women in Shaanxi province of China: A hospital -based investigation This study aimed to investigate the characteristics of female high-risk human papillomavirus (HR-HPV) infection in Shaanxi province of China. A total of 14 111 women were enrolled for HPV genotyping test, and a cytology, and/or cervix biopsy were performed in partial women. Of these women, the HPV infection rate was 30.21%, and 26.73% were caused by HR-HPV. The most common HR-HPV genotypes were HPV-16, HPV-58, HPV-52, HPV-18, and HPV-31. The prevalence of HR-HPV among women older than 50 years was significantly higher than the other groups (P < 0.05). The main carcinogenic genotypes were HPV-16, HPV-18, HPV-58, HPV-52, and HPV-31. HPV-16 and HPV-18 combined caused 80.79% of cervical cancer cases. The infection with multiple HR-HPVs was not a risk factor for cervical lesions. In conclusion, HPV infection was common among women in Shaanxi province. Women older than 50 years were a high-risk group for HR-HPV infection and cervical cancer. HPV-16 and HPV-18 were the main carcinogenic genotypes in this region.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["infection", "high-risk human papillomavirus (HR-HPV) infection", "HR-HPV infection", "cervical lesions", "human papillomavirus infection", "HPV infection", "cervical cancer"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["carcinogenic"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["high-risk", "risk factor", "not"], "Food": [], "HealthCareActivity": ["cervix biopsy", "investigation", "cytology"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": ["hospital"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["China", "Shaanxi", "region", "province"], "Virus": ["HPV-31", "HPV-52", "HPV-16", "HR-HPVs", "HPV-58", "HPV", "HPV-18", "HR-HPV"]}