Research Article
Measles Outbreak among Previously Immunized Adult Healthcare Workers, China, 2015
Table 2
General information and clinical manifestations of measles patients.
| Case number | Date of onset | Gender | Age (years) | Occupation | Vaccination history | MV IgM | MV PCR | Clinical manifestation | Koplik spots | Catarrh | Conjunctivitis | Pneumonia | Laryngitis | Liver dysfunction |
| 1 | Mar. 16 | Female | 33 | ED patient | No | Positive | Positive | Yes | Yes | Yes | Yes | No | Yes | 2 | Mar. 20 | Female | 29 | ED nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | Yes | 3 | Mar. 20 | Female | 27 | ED nurse | No | Positive | Positive | Yes | Yes | Yes | No | No | Yes | 4 | Mar. 20 | Male | 31 | ED nurse | Yes | Positive | Positive | Yes | No | Yes | No | No | No | 5 | Mar. 23 | Male | 26 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 6 | Mar. 23 | Female | 25 | Surgical nurse | Yes | Positive | Positive | No | Yes | No | No | No | No | 7 | Mar. 23 | Male | 36 | Logistical staff | Unknown | Positive | Positive | No | Yes | Yes | No | No | No | 8 | Mar. 23 | Female | 31 | Surgical nurse | Unknown | Positive | Positive | Yes | No | Yes | No | No | No | 9 | Mar. 23 | Female | 41 | Logistical staff | No | Positive | Positive | No | Yes | Yes | No | No | No | 10 | Mar. 23 | Male | 32 | Neurological doctor | Unknown | Positive | Positive | No | Yes | Yes | No | No | No | 11 | Mar. 23 | Female | 26 | Hematological nurse | Yes | Positive | Positive | Yes | Yes | No | No | No | No | 12 | Mar. 23 | Male | 32 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 13 | Mar. 23 | Male | 27 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 14 | Mar. 23 | Male | 25 | Pediatric nurse | Yes | Positive | Positive | No | No | No | No | No | No | 15 | Mar. 23 | Male | 29 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 16 | Mar. 23 | Female | 27 | Respiratory nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 17 | Mar. 23 | Female | 24 | Ophthalmological nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 18 | Mar. 24 | Male | 27 | Logistical staff | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 19 | Mar. 24 | Male | 24 | Cardiology nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 20 | Mar. 24 | Female | 23 | Clinic nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 21 | Mar. 24 | Female | 24 | Clinic nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 22 | Mar. 24 | Female | 25 | Clinic nurse | Yes | Positive | Negative | Yes | No | Yes | No | No | No | 23 | Mar. 24 | Male | 30 | Neurological doctor | Yes | Positive | Negative | No | Yes | Yes | No | No | No | 24 | Mar. 24 | Female | 22 | Surgical nurse | Yes | Positive | Negative | No | Yes | No | No | No | No | 25 | Mar. 24 | Female | 25 | Surgical nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 26 | Mar. 24 | Female | 24 | Neurological nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 27 | Mar. 24 | Female | 25 | Surgical nurse | Yes | Positive | Negative | No | Yes | Yes | No | No | No | 28 | Mar. 24 | Male | 1 | Hematological patient | Yes | Positive | Positive | Yes | Yes | Yes | Yes | Yes | Yes | 29 | Mar. 25 | Female | 27 | Obstetrical patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | Yes | 30 | Mar. 25 | Female | 30 | ICU nurse | Unknown | Positive | Positive | No | No | No | No | No | No | 31 | Mar. 25 | Female | 26 | Neurosurgical nurse | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 32 | Mar. 25 | Female | 28 | Urological nurse | Unknown | Positive | Positive | Yes | Yes | Yes | No | No | No | 33 | Mar. 25 | Female | 19 | VIP medical nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 34 | Mar. 25 | Female | 32 | Cardiology nurse | Unknown | Positive | Positive | No | Yes | No | No | No | No | 35 | Mar. 26 | Female | 13 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 36 | Mar. 26 | Male | 30 | Chinese medicine doctor | Unknown | Positive | Positive | Yes | Yes | Yes | No | No | Yes | 37 | Mar. 26 | Female | 27 | VIP medical nurse | Yes | Positive | Positive | Yes | No | Yes | No | No | No | 38 | Mar. 26 | Female | 26 | Cardiology nurse | Yes | Positive | Negative | Yes | Yes | Yes | No | No | No | 39 | Mar. 27 | Male | 16 | ED patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 40 | Mar. 27 | Male | 30 | Urological doctor | Unknown | Positive | Positive | No | Yes | No | No | No | No | 41 | Mar. 27 | Female | 29 | Logistical staff | Yes | Negative | Positive | Yes | Yes | Yes | No | No | No | 42 | Mar. 27 | Male | 21 | Medical student | Yes | Negative | Positive | No | Yes | Yes | No | No | No | 43 | Mar. 27 | Male | 14 | ED patient | Yes | Positive | Positive | Yes | Yes | No | No | No | No | 44 | Mar. 27 | Male | 25 | Logistical staff | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 45 | Mar. 27 | Female | 27 | Cardiology nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 46 | Mar. 27 | Female | 38 | ED patient | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 47 | Mar. 27 | Male | 1 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 48 | Mar. 28 | Female | 27 | Clinic nurse | Yes | Positive | Positive | No | Yes | Yes | No | No | No | 49 | Mar. 28 | Female | 16 | ED patient | Yes | Positive | Positive | Yes | No | No | No | No | No | 50 | Mar. 28 | Female | 22 | Neurological nurse | Yes | Positive | Positive | Yes | Yes | Yes | No | No | No | 51 | Mar. 28 | Male | 13 | Pediatric patient | Yes | Positive | Positive | Yes | Yes | No | No | No | No | 52 | Mar. 28 | Female | 29 | Hematological nurse | Unknown | Positive | Positive | No | Yes | Yes | No | No | No | 53 | Mar. 29 | Female | 43 | Logistical staff | No | Positive | Positive | No | Yes | Yes | No | No | No | 54 | Mar. 29 | Female | 27 | Pediatric nurse | Yes | Negative | Positive | Yes | Yes | Yes | No | No | No | 55 | Mar. 30 | Female | 38 | Nephrology doctor | Unknown | Negative | Positive | Yes | Yes | Yes | No | No | No | 56 | Mar. 31 | Female | 25 | Urological nurse | Yes | Negative | Positive | No | No | Yes | No | No | No | 57 | Apr. 2 | Female | 47 | Logistical staff | Unknown | Negative | Positive | Yes | Yes | Yes | No | No | No | 58 | Apr. 2 | Female | 29 | Pediatric nurse | Yes | Negative | Positive | No | Yes | Yes | No | No | No | 59 | Apr. 4 | Male | 32 | Logistical staff | Unknown | Negative | Positive | Yes | Yes | No | No | No | No | 60 | Apr. 4 | Female | 23 | Neurological nurse | Yes | Negative | Positive | No | No | Yes | No | No | No |
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ED: Emergency Department; ICU: intensive care unit; VIP: very important person.
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