| Literature DB >> 27838666 |
Beate Kampmann1,2, Grant Mackenzie1,3,4.
Abstract
In the absence of specific surveillance platforms for pertussis and availability of suitable diagnostics at the hospital level, reliable data that describe morbidity and mortality from pertussis are difficult to obtain in any setting, as is the case in West Africa. Here, we summarize the available evidence of the burden of pertussis in the region, given historical data, and describe recent and ongoing epidemiological studies that offer opportunities for additional data collection. The available seroepidemiological data provide evidence of ongoing circulation of Bordetella pertussis in the region. Due to the lack of systematic and targeted surveillance with laboratory confirmation of B. pertussis infection, we cannot definitively conclude that pertussis disease is well controlled in West Africa. However, based on observations by clinicians and ongoing demographic surveillance systems that capture morbidity and mortality data in general terms, currently there is no evidence that pertussis causes a significant burden of disease in young children in West Africa.Entities:
Keywords: West Africa; case finding; pertussis; surveillance
Mesh:
Year: 2016 PMID: 27838666 PMCID: PMC5106627 DOI: 10.1093/cid/ciw560
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079
Pertussis Case Distribution and Incidence per Age and Sex, During Epidemic Years, Niakhar, Senegal, 1984–1996
| Age | First Outbreak (1986) | Second Outbreak (1990) | Third Outbreak (1993) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cases | No. of PYR | Incidence per 1000 PYR | Cases | No. of PYR | Incidence per 1000 PYR | Cases | No. of PYR | Incidence per 1000 PYR | ||||
| No. | % | No. | % | No. | % | |||||||
| 0–5 mo | 97 | 7 | 582 | 166.6 | 68 | 6 | 557 | 122.1 | 38 | 4 | 575 | 66.1 |
| 6–23 mo | 246 | 18 | 1443 | 170.5 | 144 | 12 | 1700 | 84.7 | 58 | 7 | 1598 | 36.3 |
| 2–4 y | 492 | 35 | 2530 | 194.5 | 348 | 30 | 2850 | 122.1 | 241 | 27 | 2969 | 81.2 |
| 5–14 y | 570 | 40 | 6481 | 88 | 612 | 52 | 7422 | 82.5 | 555 | 62 | 7811 | 71.1 |
| Total (0–14 y) | 1405 | 100 | 11 036 | 127.3 | 1172 | 100 | 12 529 | 93.5 | 892 | 100 | 12 953 | 68.9 |
| Girls | 721 | 5395 | 133.6 | 580 | 6093 | 95.2 | 462 | 6276 | 73.6 | |||
| Boys | 684 | 5641 | 121.3 | 592 | 6436 | 92.0 | 430 | 6677 | 64.4 | |||
| Relative risk (girls/boys) (95% confidence interval) | 1.1 (1.0, 1.2) | 1.0 (.9, 1.2) | 1.1 (1.0, 1.3) | |||||||||
Reproduced with permission from Preziosi et al [2].
Abbreviation: PYR, person-years at risk.
Figure 1.Pertussis cases per month, vaccine uptake and age-specific vaccine coverage per year, Niakhar, Senegal, 1984–1996. Figure reproduced with permission from Preziosi et al [2].
Figure 2.Concentrations of pertussis toxin (PTx) immunoglobulin G by age group for those with vaccination records (born after 1 January 1996), 2008 serosurvey in Keneba and Manduar, West Kiang region, the Gambia. Numbers on top of bars are total number sampled by age group. Reproduced with permission from Scott et al [4].
Figure 3.Concentrations of pertussis toxin (PTx) immunoglobulin G by age group for those without vaccination records (born after 1 January 1996), 2008 serosurvey in Keneba and Manduar, West Kiang region, the Gambia. Numbers on top of bars are total number sampled by age group. Figure reproduced with permission from Scott et al [4].