| Literature DB >> 27557931 |
Rhianna Charchuk1, Makelele Katsuva Jean Paul2, Kasereka Masumbuko Claude3, Stan Houston1,4, Michael T Hawkes5,6.
Abstract
BACKGROUND: In the Democratic Republic of the Congo (DRC), violent conflict has caused the displacement of millions of people into camps where they are exposed to poor living conditions and high rates of infectious diseases. Malaria, in particular, is a major cause of mortality in children under five; however, the burden of disease in displacement camps has not previously been described.Entities:
Keywords: Children; Cross sectional study; Democratic Republic of the Congo; Internally displaced persons
Mesh:
Year: 2016 PMID: 27557931 PMCID: PMC4997722 DOI: 10.1186/s12936-016-1479-z
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Characteristics of participants in the community-based survey
| IDPs (Bilobilo) n = 200 | Village controls (Mubi) n = 200 | P value | |
|---|---|---|---|
| Agea (years): median (range) | 2.6 (0.1-5) | 2.4 (0.7–5) | 0.11 |
| Female sexa: n (%) | 118 (59 %) | 101 (51 %) | 0.11 |
| Number of children <5 in the household: median (range) | 1 (1–4) | 2 (1–4) | 0.22 |
|
| |||
| Household ownership | 68 (34 %) | 136 (68 %) | <0.001 |
| Bed net use (index case)a | 50 (25 %) | 111 (56 %) | <0.001 |
|
| |||
| No formal education | 4 (2 %) | 4 (2 %) | 1.00 |
| Primary | 129 (65 %) | 63 (32 %) | <0.001 |
| Secondary | 53 (27 %) | 74 (37 %) | 0.03 |
| University | 14 (7 %) | 59 (30 %) | <0.001 |
|
| |||
| Electricity | 0 | 0 | – |
| Brick | 0 | 7 (3.5 %) | 0.015 |
|
| |||
| Bicycle | 45 (23 %) | 98 (49 %) | <0.001 |
| Motor vehicle | 0 | 0 | – |
| Radio | 17 (8.5 %) | 51 (25 %) | <0.001 |
| Telephone | 15 (7.5 %) | 35 (18 %) | 0.002 |
| Television | 0 | 0 | – |
| Refrigerator | 0 | 0 | – |
| Chicken | 41 (21 %) | 112 (56 %) | <0.001 |
| Cow | 1 (0.5 %) | 3 (1.5 %) | 0.62 |
| Goat | 5 (2.5 %) | 16 (8.0 %) | 0.01 |
|
| <0.0001 | ||
| Poorest | 108 (54 %) | 42 (21 %) | |
| Second | 34 (17 %) | 24 (12 %) | |
| Middle | 26 (13 %) | 27 (14 %) | |
| Fourth | 19 (9.5 %) | 44 (22 %) | |
| Richest | 13 (6.5 %) | 63 (32 %) | |
|
| 35 (17.5 %) | 15 (7.5 %) | 0.009 |
aAge, sex, bed net use, and P. falciparum infection refer to the index child; all other measures refer to the family/household
bBased on principal component analysis of household wealth indicators [33]. For four of the eleven indicators, no participant in the village or camp owned the asset (electricity in the house, vehicle, television and refrigerator); these indicators and they did not contribute to the wealth index
Fig. 1Higher burden of P. falciparum among children living in an IDP camp (black bars), compared to a neighbouring village (white bars). Results are based on community-based surveys of the IDP camp at Bilobilo (n = 200) and the neighbouring village of Mubi (n = 200), as well as a clinic-based survey of febrile children from the IDP camp (n = 100) and the village (n = 100). The prevalence of P. falciparum infection in the community and among febrile children attending a health clinic was significantly higher among IDP camp residents than village controls
Fig. 2Bed net ownership (white bars) and use (black bars) in a Congolese IDP camp and neighbouring village. Self-reported household bed net ownership and use by an index child <5 in the household the night prior to the survey, according to wealth quintile. Results are based on community-based surveys of the IDP camp at Bilobilo (a, n = 200) and the neighbouring village of Mubi (b, n = 200), as well as a clinic-based survey of febrile children from the IDP camp (c, n = 100) and the village (d, n = 100). In multivariable logistic regression models, IDP camp residence (relative to control village) and wealth index were independent predictors of bed net ownership
Clinical characteristics of children presenting to the clinic for treatment of febrile illness
| Clinical characteristics | Malarial febrile illness | Non-malarial febrile illness | ||||
|---|---|---|---|---|---|---|
| IDP | Village | P value | IDP | Village | P value | |
| Seizure | 18 (23 %) | 8 (21 %) | 0.75 | 4 (18 %) | 13 (21 %) | 0.76 |
| Coma | 1 (1.3 %) | 0 (0 %) | 0.48 | 1 (4.5 %) | 3 (4.9 %) | 0.94 |
| Anaemia | 10 (13 %) | 4 (10 %) | 0.70 | 4 (18 %) | 5 (8.2 %) | 0.20 |
| Trouble breathing | 51 (65 %) | 15 (39 %) | 0.006 | 13 (59 %) | 44 (72 %) | 0.26 |
Characteristics of participants in the clinic-based survey of children with fever presenting for care
| IDPs (Bilobilo) n = 100 | Village controls (Mubi) n = 100 | P value | |
|---|---|---|---|
| Agea (years): median (range) | 2.6 (1–5) | 3 (1–5) | 0.49 |
| Female sexa: n (%) | 47 (47 %) | 53 (53 %) | 0.48 |
|
| |||
| Household ownership | 21 (21 %) | 75 (75 %) | <0.001 |
| Bed net usea (index case) | 16 (16 %) | 65 (66 %) | <0.001 |
|
| |||
| No formal education | 1 (1 %) | 0 | 1.00 |
| Primary | 29 (29 %) | 13 (13 %) | 0.009 |
| Secondary | 50 (50 %) | 42 (42 %) | 0.32 |
| University | 20 (20 %) | 45 (45 %) | <0.001 |
|
| |||
| Electricity | 0 | 0 | – |
| Brick | 0 | 4 (4 %) | 0.12 |
|
| |||
| Bicycle | 45 (45 %) | 75 (75 %) | <0.001 |
| Motor vehicle | 1 (1 %) | 1 (1 %) | 1.00 |
| Radio | 21 (21 %) | 55 (55 %) | <0.001 |
| Telephone | 11 (11 %) | 41 (41 %) | <0.001 |
| Television | 1 (1 %) | 2 (2 %) | 1.00 |
| Refrigerator | 0 | 0 | – |
| Chicken | 60 (60 %) | 59 (60 %) | 1.00 |
| Cow | 12 (12 %) | 20 (20 %) | 0.13 |
| Goat | 38 (38 %) | 39 (39 %) | 0.88 |
|
| <0.001 | ||
| Poorest | 29 (29 %) | 11 (11 %) | |
| Second | 28 (28 %) | 12 (12 %) | |
| Middle | 20 (20 %) | 20 (20 %) | |
| Fourth | 16 (16 %) | 24 (24 %) | |
| Richest | 7 (7 %) | 33 (33 %) | |
|
| |||
| Theft | 59 (59 %) | 12 (12 %) | <0.001 |
| Physical assault | 15 (15 %) | 1 (1 %) | <0.001 |
| Sexual assault | 22 (22 %) | 1 (1 %) | <0.001 |
| Knife injury | 1 (1 %) | 0 | 1.00 |
| Gunshot | 2 (2 %) | 0 | 0.50 |
|
| 78 (78 %) | 39 (39 %) | <0.001 |
aAge, sex, bed net use, and P. falciparum infection refer to the index child; all other measures refer to the family/household
bBased on principal component analysis of household wealth indicators. For two of the eleven indicators (electricity in the house and refrigerator), no participant in the village or camp owned the asset; these indicators did not contribute to the wealth index