| Literature DB >> 32183745 |
Didier Bompangue1,2,3, Sandra Moore4, Nadège Taty1,2, Benido Impouma5, Bertrand Sudre3, Richard Manda1, Thierno Balde5, Franck Mboussou5, Thierry Vandevelde6.
Abstract
BACKGROUND: Rapid control of cholera outbreaks is a significant challenge in overpopulated urban areas. During late-2017, Kinshasa, the capital of the Democratic Republic of the Congo, experienced a cholera outbreak that showed potential to spread throughout the city. A novel targeted water and hygiene response strategy was implemented to quickly stem the outbreak.Entities:
Keywords: Case cluster-targeted interventions; Cholera; Democratic Republic of the Congo; Hygiene promotion; Kinshasa; Outbreak response; Vibrio cholerae; Water supply; Water treatment
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Year: 2020 PMID: 32183745 PMCID: PMC7079479 DOI: 10.1186/s12879-020-4916-0
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Map of study area: Kinshasa Province. DRC, Democratic Republic of the Congo
Fig. 4Spatial localization of all cholera cases per health zone in Kinshasa from November 2017 to March 2018. The red circles represent the number of cumulative cholera case numbers (suspected and confirmed) in each health zone during the five-month period. The only areas not represented on the map are the large health zones located in the east of Kinshasa Province, Maluku II and Maluku I, which reported seven and 21 cases, respectively, during the five-month period. Health zones, main roads, railroads and waterbodies in Kinshasa are indicated on the map. The locations of the CTCs in Binza Météo (Camp Luka) and Limeté (Pakadjuma) are also indicated. Neighboring Republic of the Congo is shown in green. Localization of Kinshasa Province (gray) and the Kinshasa map area (red square) are specified on the map of the DRC in the lower right corner
Fig. 2Schematic diagram of the cluster grid response strategy. The case cluster is shown in green, case residences are represented by red dots, nearby neighbors (≤50 m from a case household) are represented in red squares and peripheral neighbors (> 50 m from a case household, within the case cluster) are represented in orange squares
Response intervention details per health zone
| Health zone | Details of water and hygiene interventions in the community | |||
|---|---|---|---|---|
| Binza Météo | 60 days | 0 | 15 | 4 |
| Limeté | 30 days | 2 | 0 | 0 |
| Kintambo | 30 days | 0 | 2 | 3 |
| Kingabwa | 30 days | 1 | 0 | 0 |
| Bumbu | 30 days | 0 | 0 | 0 |
Number of personnel involved per intervention type for each health zone
| Health zone | Number of personnel per intervention type and role | ||||
|---|---|---|---|---|---|
| Binza Météo | 135 | 60 | 42 | 20 | 257 |
| Limeté | 8 | 10 | 10 | 4 | 32 |
| Kintambo | 40 | 8 | 10 | 5 | 63 |
| Kingabwa | 18 | 17 | 10 | 5 | 50 |
| Bumbu | 40 | 40 | 30 | 8 | 118 |
| Total | 241 | 135 | 102 | 42 | 520 |
Fig. 3Epidemic curves of the cholera outbreak in Kinshasa and corresponding weekly precipitation levels. The epidemic curve and weekly precipitation levels cover week 15 of 2017 to week 45 of 2018. The top panel displays weekly cholera case numbers in the entire city (dashed line) as well as heavily-affected health zones, which are color-coded and ordered based on cumulative number of cholera cases during the 2017–2018 period (up to week 45, 2018) as displayed in Additional file 1. The bottom panel displays the corresponding estimated weekly precipitation levels in Kinshasa (mm)
Fig. 5Cholera epidemic curve per targeted health zone and response activity timeframe. Weekly cholera case numbers are shown on the y-axis and epidemic weeks/years are indicated on the x-axis. The start and end points of the response activities in each health zone are shown with green and red arrows, respectively
Reduction in cholera case numbers following implementation of the response
| Health zone | Number of weekly cases during week of response implementation | ||||
|---|---|---|---|---|---|
| Binza Météo | 116 | 20.7% | 43.1% | 84.5% | 100% |
| Kintambo | 54 | 5.6% | 63% | 98.1% | 100% |
| Limeté | 40 | 22.5% | 65% | 75% | 97.5% |
| Number weekly cases once the response was implemented in two health zones | |||||
| Kinshasa Province Total | 188 | −0.5% | 11.7% | 70.7% | 83% |