Volume 12, Number 3—March 2006
Research
Serosurvey on Household Contacts of Marburg Hemorrhagic Fever Patients
Matthias Borchert*
, Sabue Mulangu†, Robert Swanepoel‡, Modeste Lifenya Libande§, Antoine Tshomba¶, Amayo Kulidri§, Jean-Jacques Muyembe-Tamfum†, and Patrick Van der Stuyft*
, Sabue Mulangu†, Robert Swanepoel‡, Modeste Lifenya Libande§, Antoine Tshomba¶, Amayo Kulidri§, Jean-Jacques Muyembe-Tamfum†, and Patrick Van der Stuyft*Table 2
Characteristics of 121 household or community contacts of Marburg hemorrhagic fever patients, Watsa Subdistrict, Democratic Republic of Congo, 2002
| Characteristics | No. male (%), n = 63 | No. female (%), n = 58 | Total (%), N = 121 | |
|---|---|---|---|---|
| Age (y) | ||||
| <4 | 2 (3.5) | 0 | 2 (1.7) | |
| 5–14 | 3 (5.2) | 5 (7.9) | 8 (6.6) | |
| 15–29 | 24 (41.4) | 35 (55.6) | 59 (48.8) | |
| 30–44 | 20 (34.5) | 11 (17.5) | 31 (25.6) | |
| >45 | 9 (15.5) | 12 (19.1) | 21 (17.4) | |
| Residence | ||||
| Durba | 38 (65.5) | 47 (74.6) | 85 (70.3) | |
| Watsa town | 9 (15.5) | 7 (11.1) | 16 (13.2) | |
| Other village in Watsa Health Zone | 8 (13.8) | 5 (7.9) | 13 (10.7) | |
| Outside Watsa Health Zone | 3 (5.2) | 4 (6.4) | 7 (5.8) | |
| Profession* | ||||
| Housewife | 0 | 29 (46.0) | 29 (24.0) | |
| Unofficial gold miner | 23 (39.7) | 0 | 23 (19.1) | |
| Pupil/student | 6 (10.3) | 9 (14.3) | 15 (12.4) | |
| Farmer | 7 (12.1) | 7 (11.1) | 14 (11.6) | |
| Trader | 2 (3.5) | 11 (17.5) | 13 (10.7) | |
| Health worker | 2 (3.5) | 2 (3.2) | 4 (3.3) | |
| Other or none | 16 (27.6) | 2 (3.2) | 18 (14.9) | |
| Relationship | ||||
| Spouse | 3 (5.2) | 12 (19.5) | 15 (12.4) | |
| Same generation as case (brother, sister, brother- or sister-in-law, cousin) | 24 (41.4) | 18 (28.6) | 42 (34.7) | |
| Subsequent generation (son/daughter, nephew or niece) | 13 (22.4) | 13 (20.6) | 26 (21.5) | |
| Preceding generation (father or mother, uncle or aunt) | 7 (12.1) | 16 (25.4) | 23 (19.0) | |
| Colleague | 10 (17.2) | 3 (4.8) | 13 (10.7) | |
| Other | 1 (1.7) | 1 (1.6) | 2 (3.3) | |
| Total | 63 (100) | 58 (100) | 121 (100) | |
*N = 116 because of missing data.
