| Literature DB >> 30949284 |
Ahmed Abubakar1, Mahmud Dalhat1, Abdulaziz Mohammed1, Olayinka Stephen Ilesanmi1, Uchenna Anebonam1, Nyampa Barau1, Sarafadeen Salami1, Olawunmi Ajayi1, Abba Shehu1, Abisola Oladimeji1, Saheed Gidado1, Patrick Nguku1, Ndadilnasiya Waziri1, David Karatu2, Peter Nsubuga3.
Abstract
INTRODUCTION: Despite the availability of vaccines, pertussis outbreaks still occur in developing countries. In December 2015 we investigated a pertussis outbreak in Kaltungo, Nigeria to identify determinants of infection and institute control measures.Entities:
Keywords: Kaltungo; Nigeria; Pertussis; immunization; outbreak
Mesh:
Substances:
Year: 2019 PMID: 30949284 PMCID: PMC6441470 DOI: 10.11604/pamj.supp.2019.32.1.13352
Source DB: PubMed Journal: Pan Afr Med J
Socio-demographic characteristics of pertussis cases and controls in Kaltungo, Gombe State, December 2015
| Characteristics | Cases n=155 | Controls n=310 | ||
|---|---|---|---|---|
| N | % | N | % | |
| 1-11 | 32 | 20.7 | 84 | 27.1 |
| 12-59 | 83 | 53.6 | 12 | 3.9 |
| 60-119 | 35 | 22.6 | 144 | 46.5 |
| 120-179 | 5 | 3.2 | 3 | 1 |
| 180-190 | 0 | 0 | 67 | 21.6 |
| Female | 86 | 55.5 | 150 | 48.4 |
| Male | 69 | 44.5 | 160 | 51.6 |
| Christianity | 34 | 21.9 | 161 | 51.9 |
| Islam | 121 | 78.1 | 149 | 48.1 |
| None | 42 | 27.1 | 35 | 11.3 |
| Primary | 58 | 37.4 | 118 | 38.1 |
| Quranic | 27 | 17.4 | 5 | 1.6 |
| Secondary | 25 | 16.1 | 144 | 46.5 |
| Tertiary | 3 | 1.9 | 8 | 2.6 |
| Artisan | 4 | 2.6 | 3 | 1 |
| Civil servant | 3 | 1.9 | 5 | 1.6 |
| Farmer | 114 | 73.6 | 218 | 71 |
| Housewife | 18 | 11.6 | 43 | 14 |
| Others | 0 | 0 | 2 | 0.7 |
| Trader | 16 | 10.3 | 36 | 11.7 |
| Artisan | 4 | 2.6 | 3 | 1 |
Pentavalent history of pertussis cases and controls in Kaltungo, Gombe State, December 2015
| Symptoms | Case N (%) n = 155 | Controls N (%) n = 310 |
|---|---|---|
| Zero doses | 61 (39.4) | 42 (13.6) |
| Pentavalent 1 | 93 (60.0) | 261 (84.2) |
| Pentavalent 3 | 65 (41.9) | 222 (71.6) |
| Drop out | 30.1% | 14.9% |
| Booster dose | 0 | 0 |
Factors associated with pertussis infection in Kaltungo, December 2015
| Variable | Cases n = 155 N (%) | Controls n = 310 N (%) | OR | 95% CI |
|---|---|---|---|---|
| Islam | 121 (78.1) | 149 (48.1) | 3.9 | 2.5 - 6.0 |
| Received other RI | 111 (71.6) | 275 (88.7) | 0.3 | 0.2 - 0.5 |
| Sub-Optimal dose | 88 (56.8) | 95 (30.7) | 3 | 2.0 - 4.4 |
| Received 3doses of Pentavalent | 66 (42.6) | 222 (71.6) | 0.3 | 0.2 - 0.4 |
| Heard of Whooping Cough | 47 (30.3) | 119 (38.4) | 0.7 | 0.5 - 1.1 |
| Parental refusal | 66(42.6) | 11 (3.6) | 20.2 | 10.2 - 39.8 |
| Informal Educated Mothers | 69 (44.5) | 40 (12.9) | 5.4 | 3.4 - 8.6 |
| Contact with a case | 131 (84.5) | 119 (38.4) | 8.8 | 5.4 - 14.3 |
Independent determinants of pertussis infection in Kaltungo, December 2015
| Variable | AdjustedOdds Ratio | 95% ConfidenceInterval | P-value |
|---|---|---|---|
| Islam | 2.0 | 1.1 - 3.5 | 0.02 |
| Received other RI | 2.9 | 1.0 - 8.8 | 0.06 |
| Sub-optimal dose | 0.12 | 0.02 - 0.8 | 0.03 |
| Received 3 doses of Pentavalent | 0.07 | 0.01 - 0.5 | 0.007 |
| Parental refusal | 27.8 | 8.8 - 87.7 | < 0.001 |
| Informal educated mothers | 4.7 | 2.6 - 8.4 | < 0.001 |
| Contact with case | 7.9 | 4.3 - 14.7 | < 0.001 |