| Literature DB >> 28472026 |
Balcha G Masresha, Meredith G Dixon, Jennifer L Kriss, Reggis Katsande, Messeret E Shibeshi, Richard Luce, Amadou Fall, Annick R G A Dosseh, Charles R Byabamazima, Alya J Dabbagh, James L Goodson, Richard Mihigo.
Abstract
In 2011, the 46 World Health Organization (WHO) African Region (AFR) member states established a goal of measles elimination* by 2020, by achieving 1) ≥95% coverage of their target populations with the first dose of measles-containing vaccine (MCV1) at national and district levels; 2) ≥95% coverage with measles-containing vaccine (MCV) per district during supplemental immunization activities (SIAs); and 3) confirmed measles incidence of <1 case per 1 million population in all countries (1). Two key surveillance performance indicator targets include 1) investigating ≥2 cases of nonmeasles febrile rash illness per 100,000 population annually, and 2) obtaining a blood specimen from ≥1 suspected measles case in ≥80% of districts annually (2). This report updates the previous report (3) and describes progress toward measles elimination in AFR during 2013-2016. Estimated regional MCV1 coverage† increased from 71% in 2013 to 74% in 2015.§ Seven (15%) countries achieved ≥95% MCV1 coverage in 2015.¶ The number of countries providing a routine second MCV dose (MCV2) increased from 11 (24%) in 2013 to 23 (49%) in 2015. Forty-one (79%) of 52 SIAs** during 2013-2016 reported ≥95% coverage. Both surveillance targets were met in 19 (40%) countries in 2016. Confirmed measles incidence in AFR decreased from 76.3 per 1 million population to 27.9 during 2013-2016. To eliminate measles by 2020, AFR countries and partners need to 1) achieve ≥95% 2-dose MCV coverage through improved immunization services, including second dose (MCV2) introduction; 2) improve SIA quality by preparing 12-15 months in advance, and using readiness, intra-SIA, and post-SIA assessment tools; 3) fully implement elimination-standard surveillance††; 4) conduct annual district-level risk assessments; and 5) establish national committees and a regional commission for the verification of measles elimination.Entities:
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Year: 2017 PMID: 28472026 PMCID: PMC5687084 DOI: 10.15585/mmwr.mm6617a2
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Estimated coverage with the first dose (MCV1)* and second dose (MCV2)*,† of measles-containing vaccine, number of confirmed measles cases, and confirmed measles incidence per 1 million population, by country — World Health Organization (WHO) African Region, 2013–2016
| Country | 2013 | 2014 | 2015 | 2016 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Coverage (%) | No. of confirmed cases§ (incidence¶) | Coverage (%) | No. of confirmed cases§ (incidence¶) | Coverage (%) | No. of confirmed cases§ (incidence¶) | No. of confirmed cases§ (incidence¶) | ||||
| MCV1 | MCV2† | MCV1 | MCV2† | MCV1 | MCV2† | |||||
| Algeria | 95 | 93 | 0 (0.0) | 95 | 99 | 0 (0.0) | 95 | 99 | 62 (1.6) | 27 (0.7) |
| Angola | 66 | — | 6,297 (268.5) | 60 | — | 11,648 (480.8) | 55 | 26 | 67 (2.7) | 33 (1.3) |
| Benin | 68 | — | 735 (71.2) | 68 | — | 768 (72.5) | 75 | — | 53 (4.9) | 90 (8.1) |
| Botswana | 97 | 83 | 1 (0.5) | 97 | 85 | 88 (39.6) | 97 | 85 | 2 0.9) | 1 (0.4) |
| Burkina Faso | 82 | — | 431 (25.2) | 88 | 17 | 433 (24.6) | 88 | 50 | 99 (5.5) | 222 (11.9) |
| Burundi | 98 | 51 | 0 (0.0) | 94 | 60 | 5 (0.5) | 93 | 65 | 9 (0.8) | 17 (1.5) |
| Cameroon | 83 | — | 766 (34.5) | 80 | — | 720 (31.6) | 79 | — | 1,785 (76.5) | 324 (13.5) |
| Cape Verde | 91 | 89 | 0 (0.0) | 93 | 79 | 0 (0.0) | 92 | 95 | 0 (0.0) | 0 (0.0) |
| Central African Republic | 25 | — | 370 (78.5) | 49 | — | 212 (44.1) | 49 | — | 147 (30.0) | 156 (31.2) |
| Chad | 59 | — | 185 (14.1) | 54 | — | 1,237 (91.0) | 62 | — | 435 (31.0) | 147 (10.1) |
| Comoros | 82 | — | 0 (0.0) | 80 | — | 0 (0.0) | 81 | — | 0 (0.0) | 0 (0.0) |
| Congo | 80 | — | 123 (28.0) | 80 | — | 70 (15.5) | 80 | — | 1,358 (293.9) | 292 (61.6) |
| Cote d'Ivoire | 76 | — | 48 (2.2) | 62 | — | 50 (2.3) | 72 | — | 40 (1.8) | 52 (2.2) |
| Democratic Republic of Congo | 76 | — | 2,470 (34.0) | 77 | — | 1,595 (21.3) | 79 | — | 4,471 (57.9) | 4,790 (60.1) |
| Equatorial Guinea | 42 | — | 6 (7.5) | 44 | — | 9 (11.0) | 27 | — | 1,232 (1,457.9) | 1,685 (1,937.7) |
| Eritrea | 94 | — | 47 (9.4) | 90 | — | 1 (0.2) | 85 | 75 | 91 (17.4) | 59 (11.0) |
| Ethiopia | 62 | — | 6,029 (63.8) | 70 | — | 12,485 (128.8) | 78 | — | 16,123 (162.2) | 4,484 (44.0) |
| Gabon | 70 | — | 127 (77.0) | 61 | — | 42 (24.9) | 68 | — | 37 (21.4) | 1,274 (722.6) |
| Gambia | 96 | 53 | 1 (0.5) | 96 | 73 | 2 (1.0) | 97 | 77 | 21 (10.5) | 40 (19.5) |
| Ghana | 89 | 54 | 318 (12.2) | 92 | 67 | 143 (5.3) | 89 | 63 | 51 (1.9) | 53 (1.9) |
| Guinea | 62 | — | 39 (3.3) | 52 | — | 35 (2.9) | 52 | — | 29 (2.3) | 130 (10.0) |
| Guinea-Bissau | 69 | — | 0 (0.0) | 69 | — | 0 (0.0) | 69 | — | 0 (0.0) | 0 (0.0) |
| Kenya | 73 | — | 215 (4.9) | 79 | — | 356 (7.9) | 75 | 28 | 110 (2.4) | 61 (1.3) |
| Lesotho | 90 | 82 | 2 (1.0) | 90 | 82 | 4 (1.9) | 90 | 82 | 2 (0.9) | 13 (6.0) |
| Liberia | 74 | — | 0 (0.0) | 58 | — | 0 (0.0) | 64 | — | 433 (96.1) | 391 (84.7) |
| Madagascar | 63 | — | 8 (0.3) | 64 | — | 3 (0.1) | 58 | — | 7 (0.3) | 22 (0.9) |
| Malawi | 88 | — | 1 (0.1) | 85 | — | 2 (0.1) | 87 | 8 | 19 (1.1) | 4 (0.2) |
| Mali | 80 | — | 308 (18.6) | 80 | — | 274 (16.0) | 76 | — | 240 (13.6) | 107 (5.9) |
| Mauritania | 80 | — | 3 (0.8) | 84 | — | 14 (3.5) | 70 | — | 1 (0.2) | 13 (3.1) |
| Mauritius | 99 | 85 | 0 (0.0) | 98 | 85 | 0 (0.0) | 99 | 85 | 0 (0.0) | 0 (0.0) |
| Mozambique | 85 | — | 57 (2.2) | 85 | — | 80 (2.9) | 85 | — | 78 (2.8) | 84 (2.9) |
| Namibia | 82 | — | 495 (210.9) | 83 | — | 718 (298.8) | 85 | — | 216 (87.8) | 13 (5.2) |
| Niger | 76 | — | 790 (43.0) | 72 | 3 | 294 (15.4) | 73 | 16 | 603 (30.3) | 591 (28.5) |
| Nigeria | 47 | — | 50,585 (292.7) | 51 | — | 4,470 (25.2) | 54 | — | 11,494 (63.1) | 11,499 (61.5) |
| Rwanda | 95 | — | 17 (1.5) | 97 | — | 5 (0.4) | 97 | 87 | 1 (0.1) | 57 (4.8) |
| Sao Tome and Principe | 91 | — | 0 (0.0) | 92 | 71 | 0 (0.0) | 93 | 76 | 0 (0.0) | 0 (0.0) |
| Senegal | 84 | — | 13 (0.9) | 80 | 13 | 38 (2.6) | 80 | 54 | 58 (3.8) | 159 (10.2) |
| Seychelles | 97 | 97 | 0 (0.0) | 99 | 98 | 0 (0.0) | 98 | 98 | 0 (0.0) | 0 (0.0) |
| Sierra Leone | 83 | — | 13 (2.1) | 78 | — | 44 (7.0) | 76 | 60 | 139 (21.5) | 195 (29.6) |
| South Africa | 66 | 53 | 61 (1.1) | 70 | 60 | 98 (1.8) | 76 | 63 | 18 (0.3) | 24 (0.4) |
| South Sudan | 30 | — | 0 (0.0) | 22 | — | 0 (0.0) | 20 | — | 341 (27.6) | 845 (66.4) |
| Swaziland | 85 | 89 | 0 (0.0) | 86 | 89 | 0 (0.0) | 78 | 89 | 0 (0.0) | 1 (0.8) |
| Tanzania | 99 | — | 191 (3.8) | 99 | 29 | 61 (1.2) | 99 | 57 | 19 (0.4) | 36 (0.7) |
| Togo | 72 | — | 321 (46.3) | 82 | — | 168 (23.6) | 85 | — | 21 (2.9) | 29 (3.9) |
| Uganda | 82 | — | 452 (12.4) | 82 | — | 313 (8.3) | 82 | — | 478 (12.2) | 250 (6.2) |
| Zambia | 80 | — | 1 (0.1) | 85 | 33 | 16 (1.0) | 90 | 47 | 20 (1.2) | 7 (0.4) |
| Zimbabwe | 93 | — | 3 (0.2) | 92 | — | 65 (4.3) | 86 | — | 1 (0.1) | 2 (0.1) |
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* WHO-United Nations Children’s Fund (UNICEF) estimate.
† Cells containing “—“ indicate that the corresponding country has not yet introduced MCV2.
§ Measles case-based surveillance. Confirmed cases were defined by laboratory criteria, epidemiologic linkage, or clinical criteria. Laboratory-confirmed was defined as having a measles-specific immunoglobulin M–positive test result and not receiving a measles vaccination during the 30 days before rash onset. Epidemiologically linked was defined as meeting the suspected measles case definition and having contact (i.e., lived in the same district or an adjacent district, with plausibility of transmission) with a patient with a laboratory-confirmed measles case with rash onset within the preceding 30 days. Clinically compatible was defined as meeting the case definition for measles, with no specimen available for laboratory testing and no evidence of epidemiologic linkage to a laboratory-confirmed case. A suspected measles case was defined as an illness characterized by rash, fever, and one or more of the following symptoms: conjunctivitis, coryza, or cough, or an illness in any patient in whom the clinician suspected measles.
¶ Incidence per 1 million population was calculated using the United Nations Population Division World Population Prospects: 2015 revision.
Characteristics of national and subnational measles supplementary immunization activities (SIAs),*,†,§ by year and country — World Health Organization African Region, 2013–2016
| Year | Country | Type of SIA* | Age group targeted | Extent of SIA | Children reached in target age group | % of districts with ≥95% administrative coverage¶,** | Estimated SIA coverage by survey (%)** | |
|---|---|---|---|---|---|---|---|---|
| No. | Administrative coverage (%)†,¶ | |||||||
| 2013 | Botswana | Follow-up M | 9–59 m | N | 198,341 | 95 | 54 | — |
| 2013 | Cape Verde | Catch-up MR | 9 m–24 y | N | 240,166 | 95 | 46 | — |
| 2013 | Comoros | Follow-up M | 6–59 m | N | 86,516 | 86 | 59 | 93 |
| 2013 | Congo | Follow-up M | 6–59 m | N | 726,979 | 92 | 58 | 86 |
| 2013 | Democratic Republic of the Congo | Follow-up M | 6 m–9 y | SN | 11,019,958 | 100 | — | — |
| 2013 | Ethiopia | Follow-up M | 9–59 m | N | 11,608,063 | 99 | 66 | 91 |
| 2013 | Ghana | Catch-up MR | 9 m–14 y | N | 11,062,605 | 99 | 70 | 96 |
| 2013 | Lesotho | Follow-up M | 9–59 m | N | 147,676 | 73 | 90 | 92 |
| 2013 | Madagascar | Follow-up M | 9–59 m | N | 3,316,542 | 92 | 56 | 84 |
| 2013 | Malawi | Follow-up M | 9–59 m | N | 2,405,108 | 105 | 100 | 96 |
| 2013 | Mozambique | Follow-up M | 9–59 m | N | 4,078,637 | 102 | 95 | 81 |
| 2013 | Nigeria | Follow-up M | 9–59 m | SN | 30,579,666 | 103 | — | 75 |
| 2013 | Rwanda | Catch-up MR | 9 m–14 y | N | 4,391,081 | 103 | 90 | 98 |
| 2013 | Senegal | Catch-up MR | 9 m–14 y | N | 6,097,155 | 101 | 76 | 97 |
| 2013 | South Africa | Follow-up M | 6–59 m | N | 4,186,191 | 100 | 60 | — |
| 2013 | Swaziland | Follow-up M | 6–59 m | N | 119,207 | 97 | — | 91 |
| 2013 | Togo | Follow-up M | 9 m–9 y | N | 1,641,635 | 96 | 83 | — |
| 2014 | Angola | Follow-up M | 6 m–9 y | N | 7,829,940 | 117 | 84 | 97 |
| 2014 | Benin | Follow-up M | 9 m–9 y | N | 3,009,405 | 101 | 82 | 97 |
| 2014 | Burkina Faso | Catch-up MR | 9 m–14 y | N | 8,517,508 | 107 | 100 | — |
| 2014 | Chad | Follow-up M | 6 m–9 y | SN | 2,549,188 | 103 | 94 | — |
| 2014 | Côte d’Ivoire | Follow-up M | 6 m–9 y | N | 9,640,512 | 92 | 95 | 95 |
| 2014 | Democratic Republic of Congo | Follow-up M | 6 m–9 y | SN | 20,699,401 | 101 | 87 | — |
| 2014 | Mauritania | Follow-up M | 9 m–14 y | N | 1,489,563 | 105 | 92 | — |
| 2014 | South Sudan | Follow-up M | 6–59 m | N | 1,715,139 | 122 | 98 | 77 |
| 2014 | Tanzania | Catch-up MR | 9 m–14 y | N | 20,529,629 | 97 | 59 | 89 |
| 2015 | Benin | Follow-up M | 9 m–9 y | N | 408,511 | 102 | — | — |
| 2015 | Cameroon | Catch-up MR | 9 m–14 y | N | 9,229,739 | 98 | 80 | 89 |
| 2015 | Eritrea | Follow-up M | 9–59 m | N | 350,765 | 80 | 36 | — |
| 2015 | Guinea-Bissau | Follow-up M | 9–59 m | N | 223,673 | 86 | 18 | — |
| 2015 | Liberia | Follow-up M | 6–59 m | N | 596,545 | 99 | 80 | 90 |
| 2015 | Mali | Follow-up M | 9 m–14 y | N | 9,312,619 | 112 | 91 | 94 |
| 2015 | Niger | Follow-up M | 9–59 m | N | 3,299,923 | 96 | 75 | — |
| 2015 | Nigeria | Follow-up M | 9–59 m | N | 43,134,811 | 110 | 88 | 85 |
| 2015 | Sierra Leone | Follow-up M | 9–59 m | N | 1,205,865 | 97 | 71 | — |
| 2015 | Togo | Follow-up M | 9 m–9 y | SN | 820,335 | 99 | 94 | — |
| 2015 | Uganda | Follow-up M | 6–59 m | N | 6,349,182 | 95 | 56 | — |
| 2015 | Zimbabwe | Catch-up MR | 9 m–14 y | N | 5,337,029 | 103 | 100 | 94 |
| 2016 | Botswana | Catch-up MR | 9 m–14 y | N | 674,150 | 95 | 67 | — |
| 2016 | Central African Republic | Follow-up M | 6–59 m | N | 1,529,441 | 84 | 20 | — |
| 2016 | Chad | Follow-up M | 6–59 m | N | 2,342,341 | 112 | 99 | — |
| 2016 | Comoros | Follow-up M | 6–59 m | N | 80,614 | 74 | 41 | — |
| 2016 | Democratic Republic of Congo | Follow-up M | 6–59 m | N | 10,921,820 | 101 | 93 | — |
| 2016 | Equatorial Guinea | Follow-up M | 6–59 m | N | 127,874 | 85 | 61 | — |
| 2016 | Gambia | Catch-up MR | 9 m–14 y | N | 779,654 | 97 | 86 | — |
| 2016 | Guinea | Follow-up M | 9–59 m | N | 2,412,923 | 103 | 94.7 | 92.7 |
| 2016 | Kenya | Catch-up MR | 9 m–14 y | N | 19,154,577 | 101 | 77 | 95 |
| 2016 | Madagascar | Follow-up M | 9–59 m | N | 3,547,456 | 95 | 75 | — |
| 2016 | Namibia | Catch-up MR | 9 m–39 y | N | 1,908,193 | 103 | 77 | — |
| 2016 | Sao Tome and Principe | Catch-up MR | 9 m–14 y | N | 77,285 | 107 | 100 | — |
| 2016 | Swaziland | Catch-up MR | 9 m–14 y | N | 373,508 | 90 | — | 94 |
| 2016 | Zambia | Catch-up MR | 9 m–14 y | N | 7,741,505 | 108 | 97 | — |
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Abbreviations: M = measles vaccination; MR = measles-rubella vaccination; m = months; N = national; SN = subnational; y = years.
* SIAs generally are carried out using two target age ranges. An initial, nationwide catch-up SIA focuses on all children aged 9 months–14 years, with the goal of eliminating susceptibility to measles in the general population. Periodic follow-up SIAs then focus on all children born since the last SIA. Follow-up SIAs generally are conducted nationwide every 2–4 years, depending on routine immunization coverage, and focus on children aged 9–59 months; their goal is to eliminate any measles susceptibility that has developed in recent birth cohorts and to protect children who did not respond to the first dose of measles-containing vaccine. The target age range for follow-up SIAs might be widened to include older children based on the measles susceptibility pattern in countries. Countries introducing rubella vaccine do so via wide age-range combined measles-rubella vaccine campaigns.
† Data source is the World Health Organization, African Region. Data were last updated March 10, 2017.
§ This table excludes seven outbreak response immunization campaigns that occurred in five countries (Ethiopia, Guinea, Malawi, Sierra Leone, and South Sudan) and which vaccinated approximately 40.4 million children.
¶ Administrative coverage is defined as the number of vaccine doses provided divided by the total number of children in the age group targeted, multiplied by 100.
** Cells containing “— “ indicate that data was not available at time of publication or that no coverage survey was performed.
FIGUREMeasles case-based surveillance performance* by country — World Health Organization African Region, 2013 and 2016
* Two key surveillance performance indicator targets were 1) investigate ≥2 cases of nonmeasles febrile rash illness per 100,000 population annually (nonmeasles febrile rash illness rate target), and 2) obtain a blood specimen from ≥1 suspected measles case in ≥80% of districts annually (district reporting target).