| Literature DB >> 24710171 |
Jimin Sun1, Zhenyu Gong1, Huakun Lv1, Zhiping Chen1, Chengliang Chai1, Shelan Liu1, Feng Ling1, Ye Lu1, Jian Cai1, Zhao Yu1, Ziping Miao1, Jiangping Ren1, Enfu Chen1.
Abstract
A total of 134 cases of H7N9 influenza infection were identified in 12 provinces of China between March 25 and September 31, 2013. Of these, 46 cases occurred in Zhejiang Province. We carried out a preliminary comparison of characteristics between rural and urban H7N9 cases from Zhejiang Province, China. Field investigations were conducted for each confirmed H7N9 case. A standardized questionnaire was used to collect information about demographics, exposure history, clinical signs and symptoms, timelines of medical visits and care after onset of illness. Of the 46 H7N9 cases in Zhejiang Province identified between March 25 and September 31, 2013, there were 16 rural cases and 30 urban cases. Compared to urban cases, there was a higher proportion of females among the rural cases [11/16 (69%) vs. 6/30 (20%), P = 0.001]. Among the rural cases, 14/15 (93%) with available data had a history of recent poultry exposure, which was significantly higher than that among urban cases (64%, P = 0.038). More patients from the rural group had a history of breeding poultry compared with those from the urban group [38% (6/16) vs. 10% (3/30), respectively; P = 0.025]. Interestingly, the median number of medical visits of patients from rural areas was higher than that of patients from urban areas (P = 0.046). There was no difference between the two groups in terms of age distribution, fatality rate, incubation period, symptoms, and underlying medical conditions. In conclusion, compared to patients from urban areas, more patients from rural areas were female, had an exposure history, had a history of breeding poultry, and had a higher number of medical visits. These findings indicate that there are different exposure patterns between patients living in rural and urban areas and that more rural cases were infected through backyard poultry breeding.Entities:
Mesh:
Year: 2014 PMID: 24710171 PMCID: PMC3977906 DOI: 10.1371/journal.pone.0093775
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Geographical distribution of patients infected with H7N9 from rural and urban areas of Zhejiang, China.
Figure 2Date of illness onset of patients infected with H7N9 from rural and urban areas.
Epidemiological characteristics of patients infected with H7N9 from rural and urban areas of Zhejiang, China.
| Characteristics | Rural cases (n = 16) | Urban cases (n = 30) |
| |
| Age and sex | Median age (y) | 61.5 | 60 | |
| Interquartile range | 12.25 | 32.75 | ||
| Age (20–39) | 1 (6%) | 7 (23%) | 0.603 | |
| Age (40–59) | 6 (38%) | 8 (27%) | ||
| Age (60–79) | 9 (56%) | 13 (43%) | ||
| Age (80+) | 0 (0) | 2 (7%) | ||
| Male | 5 (31%) | 24 (80%) | 0.001 | |
| Female | 11 (69%) | 6 (20%) | ||
| Exposure history | No poultry exposure (%) | 1 (7) | 9 (36) | 0.038 |
| Poultry exposure history (%) | 14 (93) | 16 (64) | ||
| Chickens (%) | 11 (79) | 13 (81) | 1.000 | |
| Ducks (%) | 3 (21) | 3 (19) | 1.000 | |
| Pigeons (%) | 1 (7) | 1 (6) | 1.000 | |
| Bird (%) | 0 | 1 (6) | ||
| Exposure frequency | ||||
| Every day before onset (%) | 5 (36) | 5 (31) | ||
| <3 days before onset (%) | 4 (29) | 2 (13) | ||
| 3–7 days before onset (%) | 4 (29) | 6 (38) | ||
| >7 days before onset (%) | 1 (7) | 3 (19) | ||
| Type of exposure to poultry | ||||
| Buying poultry (%) | 6 (43) | 9 (56) | 0.715 | |
| Visiting poultry market (%) | 1 (7) | 2 (13) | 1.000 | |
| Breeding poultry (%) | 6 (43) | 3 (19) | 0.236 | |
| Killing and cleaning poultry (%) | 3 (31) | 1 (6) | 0.315 |
Clinical characteristics of patients infected with H7N9 from rural and urban areas of Zhejiang, China.
| Characteristics | Rural cases (n = 16) | Urban cases (n = 30) |
| |
| Clinical outcome | Hospitalization | 16 (100%) | 30 (100%) | |
| Death | 4 (25%) | 7 (23%) | 0.900 | |
| Survivor | 12 (75%) | 23 (77%) | ||
| Symptoms at the onset | Fever (%) | 16 (100) | 30 (100) | |
| Cough (%) | 12 (75) | 25 (83) | 0.698 | |
| Expectoration (%) | 9 (56) | 20 (67) | 0.486 | |
| Shivering (%) | 4 (25) | 8 (27) | 1.000 | |
| Fatigue (%) | 4 (25) | 13 (43) | 0.220 | |
| Muscular aches (%) | 5 (31) | 11 (37) | 0.713 | |
| Nausea (%) | 1 (6) | 2 (7) | 1.000 | |
| Vomiting (%) | 0 | 2 (7) | ||
| Underling medical condition | Underlying diseases (%) | 11/13 (85) | 18/25 (72) | 0.386 |
| Hypertension (%) | 8 (73) | 10 (56) | 0.355 | |
| Diabetes (%) | 5 (45) | 4 (22) | 0.189 | |
| Heart diseases (%) | 3 (27) | 5 (28) | 0.976 | |
| Hepatitis (%) | 0 | 2 (11) | 0.252 | |
| Trachitis (%) | 1 (9) | 3 (17) | 0.566 | |
| Timelines of medical visits and care (median and interquartile range) | Illness onset to first medical visit | 1 (0.25–3) | 1.5 (1–3) | 0.804 |
| Illness onset to hospitalization | 5 (3–6) | 4 (4–6) | 0.567 | |
| Illness onset to specimen collection | 7 (6–7.75) | 5 (4–7.5) | 0.091 | |
| Illness onset to confirmation | 8 (7.25–9) | 6 (5.75–9.25) | 0.173 | |
| The number of medical visits | 4.5 (4–5) | 4 (2–5) | 0.046 |