| Literature DB >> 32614915 |
Getachew Dinede1, Abdulnasir Abagero2, Tadele Tolosa3.
Abstract
BACKGROUND: Cholera remains a significant public health problem in more than one-third of the countries of the world. Cholera outbreak has become more common in Addis Ababa particularly in the rainy seasons; however, there is a paucity of data on risk factors associated with cholera outbreaks rendering interventions difficult. We investigated the outbreak to identify its etiology, source, risk factors and in order to control the outbreak.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32614915 PMCID: PMC7332024 DOI: 10.1371/journal.pone.0235440
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Cholera cases by date of onset, Addis Ababa, Ethiopia: 07 September to 01 October, 2017.
Demographic characteristics of cholera cases and controls (univariate analysis), Addis Ababa, Ethiopia: 07 September to 01 October, 2017.
| Socio-demographic characteristics | Cases(n = 25) | Controls(n = 50) | p-value |
|---|---|---|---|
| Male | 15(60.00) | 28(56.00) | 0.74 |
| Female | 10(40.00) | 22(44.00) | |
| 15–24 | 3(12.00) | 9(18.00) | 0.46 |
| 25–34 | 7(28.00) | 15(30.00) | |
| 35–44 | 3(12.00) | 11(22.00) | |
| 44+ | 12(48.00) | 15(30.00) | |
| Single | 9(36.00) | 20(40.00) | 0.57 |
| Married | 12(48.00) | 26(52.00) | |
| Widowed | 4(16.00) | 3(6.00) | |
| Divorced | 0(0.00) | 1(2.00) | |
| None | 3(12.00) | 12(24.00) | 0.24 |
| Primary(grades 1–8) | 8(32.00) | 14(28.00) | |
| Secondary(grades 9–12) | 9(36.00) | 9(18.00) | |
| Tertiary | 5(20.00) | 15(30.00) | |
| Government employee | 4(16.00) | 15(30.00) | 0.34 |
| Private employee | 7(28.00) | 17(34.00) | |
| Self-employed | 1(4.00) | 1(2.00) | |
| Unemployed | 13(52.00) | 17(34.00) | |
Comparing demographic characteristics among cholera cases and controls using bivariate analysis, Addis Ababa, Ethiopia: 07 September to 01 October, 2017.
| Demographic characteristics | Cases Number (%) | Controls Number (%) | COR at (95%CI) |
|---|---|---|---|
| Male | 15(60) | 28(56) | 1.18(0.44,3.13) |
| Female | 10(40) | 22(44) | |
| 15–34 | 10(40) | 24(48) | 0.72(0.27–1.91) |
| ≥35 | 15(60) | 26(52) | |
| Married | 12(48) | 26(52) | 0.85(0.32–2.23) |
| Unmarried (single, divorce, widowed) | 13(52) | 24(48) | |
| None/primary | 11(44) | 26(52) | 0.73(0.28–1.90) |
| Secondary/tertiary | 14(56) | 24(48) | |
| Employed (government, private, self) | 12(48) | 33(66) | 0.48(0.18–1.27) |
| unemployed | 13(52) | 17(34) | |
95% Confidence interval
Comparing cholera exposure characteristics among cholera cases and controls using bivariate analysis, Addis Ababa, Ethiopia: 07 September to 01 October, 2017.
| Exposures | Cases Number (%) | Controls Number (%) | COR at 95%CI |
|---|---|---|---|
| Yes | 19(76) | 28(56) | 2.49(0.85–7.29) |
| No | 6(24) | 22(44) | |
| Yes | 7(28) | 23(46) | 0.46(0.16–1.29) |
| No | 18(72) | 27(54) | |
| Yes | 12(48) | 4(8) | |
| No | 13(52) | 46(92) | |
| Yes | 14(56) | 10(20) | |
| No | 11(44) | 40(80) | |
| Yes | 1(4) | 9(18) | 0.18(0.02–1.60) |
| No | 24(96) | 41(82) | |
| Yes | 3(12) | 8(16) | 0.72(0.17–2.97) |
| No | 22(88) | 42(84) | |
| Yes | 12(48) | 22(44) | 1.17(0.45,3.08) |
| No | 13(52) | 28(56) | |
| Yes | 18(72) | 21(42) | 3.55(1.26–10.03) |
| No | 7(28) | 29(58) | |
| yes | 17(68) | 45(90) | |
| No | 8(32) | 5(10) | |
| yes | 5(20) | 1(2) | |
| No | 20(80) | 49(98) | |
| Yes | 5(20) | 7(14) | 1.53(0.43–5.43) |
| No | 20(80) | 43(86) | |
95% Confidence interval
*statistically significant variables
Comparing cholera exposure characteristics among cholera cases and controls using multivariate analysis, Addis Ababa, Ethiopia: 07 September to 01 October, 2017.
| Exposures | Cases Number (%) | Controls Number (%) | AOR at 95%CI¶ |
|---|---|---|---|
| Yes | 12(48) | 4(8) | |
| No | 13(52) | 46(92) | |
| Yes | 14(56) | 10(20) | |
| No | 11(44) | 40(80) | |
| No | 7(28) | 29(58) | |
| yes | 17(68) | 45(90) | |
| No | 8(32) | 5(10) | |
| No | 20(80) | 43(86) | |