| Literature DB >> 34603573 |
Balcha Masresha1, Richard Luce2, Reggis Katsande1, Annick Dosseh2, Patricia Tanifum3, Emmaculate Lebo4, Charles Byabamazima4, Anfumbom Kfutwah3.
Abstract
INTRODUCTION: following the declaration of the COVID-19 pandemic, many countries imposed restrictions on public gatherings, health workers were repurposed for COVID-19 response, and public demand for preventive health services declined due to fear of getting COVID-19 in health care settings. These factors led to the disruption in health service delivery, including childhood immunization, in the first months of the pandemic. Measles surveillance supported with laboratory confirmation, is implemented in the African Region as part of the strategies towards attaining measles elimination. World Health Organisation developed guidelines to assist countries to continue to safely provide essential health services including immunization and the surveillance of vaccine preventable diseases during the pandemic.Entities:
Keywords: Africa; COVID-19; Vaccine preventable diseases; measles laboratory; measles surveillance; rubella
Mesh:
Substances:
Year: 2021 PMID: 34603573 PMCID: PMC8464208 DOI: 10.11604/pamj.2021.39.192.29491
Source DB: PubMed Journal: Pan Afr Med J
measles reported cases and specimens collected through the measles case-based surveillance system 2014-2020 (WHO African Region)
| Parameter | Measles reported cases and specimens collected through the case based surveillance system, 2014–2020. WHO African region | ||||||
|---|---|---|---|---|---|---|---|
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
|
| 71566 | 68769 | 61771 | 56582 | 82805 | 323424 | 70242 |
|
| 42320 | 38249 | 39450 | 46027 | 58328 | 61632 | 39613 |
|
| 6106 | 5546 | 3450 | 4633 | 3523 | 5156 | 2848 |
|
| 8329 | 6717 | 6009 | 4963 | 7534 | 15820 | 11781 |
|
| 37847 | 37938 | 28823 | 16940 | 45842 | 281270 | 44512 |
|
| 16% | 21% | 18% | 11% | 16% | 27% | 31% |
|
| 40 | 39.4 | 29.1 | 16.9 | 43.3 | 255 | 39.7 |
change in the number of suspected measles cases reported and specimens collected in 2020 as compared the national average for 2014-2018 (WHO African Region)
| Country | Mean number (and range) of suspected measles cases for 2014-2018 | Number of suspected measles cases in 2020 | Percentage change in number of suspected cases in 2020 as compared to the mean for previous years | Mean number (and range) of specimens collected for 2014-2018 | Number of specimens collected in 2020 | Percentage change in number of specimens collected in 2020 compared to the mean for previous years |
|---|---|---|---|---|---|---|
| Algeria | 182 [49-345] | 101 | -45% | 166 [48-345] | 96 | -42% |
| Angola | 2772 [258-12315] | 1414 | -49% | 536 [258-1134] | 719 | 134% |
| Benin | 592 [234-1072] | 226 | -62% | 492 [230- 910] | 226 | -54% |
| Botswana | 291 [112-923] | 41 | -86% | 283 [109-899] | 40 | -86% |
| Burkina Faso | 710 [158-2008] | 1857 | 261% | 710 [158-2005] | 1857 | 262% |
| Burundi | 188 [142-303] | 1968 | 1045% | 188 [142-303] | 504 | 268% |
| Cameroon | 1973 [1560 - 2770] | 1963 | -1% | 1604 [1323-1868] | 1189 | -26% |
| Cape Verde | 1 [0-3] | 1 | 0% | 0 [0-2] | 0 | 0% |
| Central African Republic | 476 [231-743] | 3692 | 776% | 475 [230-743] | 765 | 161% |
| Chad | 829 [325-1457] | 2324 | 280% | 531 [324-539] | 544 | 103% |
| Comoros | 20 [0-48] | 41 | 209% | 20 [0-48] | 40 | 200% |
| Congo | 690 [200-1594] | 141 | -80% | 439 [200-978] | 141 | -68% |
| Cote d'Ivoire | 1367 [623-2239] | 2650 | 194% | 1367 [623 - 2239] | 2606 | 191% |
| D. R. Congo | 6221 [3769-7158] | 17185 | 276% | 2967 [ 2174 - 3226] | 4391 | 148% |
| Equatorial Guinea | 589 [58-1726] | 107 | -82% | 74 [13-151] | 106 | 144% |
| Eritrea | 194 [103-334] | 132 | -32% | 194 [102-334] | 130 | -33% |
| Eswatini | 76 [50-100] | 47 | -38% | 75 [50-100] | 47 | -38% |
| Ethiopia | 1006 [3839-19734] | 3423 | -66% | 3725[2871-5424] | 2450 | -34% |
| Gabon | 715 [109 - 1719] | 81 | -89% | 714 [109-1719] | 81 | -89% |
| Gambia | 76 [60-94] | 65 | -14% | 73 [57-94] | 64 | -13% |
| Ghana | 1468 [1030-2097] | 1796 | 122% | 1468 [1030-2097] | 1796 | 122% |
| Guinea | 642 [48-1268] | 816 | 127% | 640 [48-1268] | 816 | 128% |
| Guinea Bissau | 0 [0-2] | 0 | 0% | 0 [0-2] | 0 | 0% |
| Kenya | 1188 [544-1621] | 910 | -23% | 986 [518-1401] | 406 | -59% |
| Lesotho | 217 [77-523] | 107 | -51% | 213 [64-523] | 106 | -50% |
| Liberia | 777 [3-2545] | 875 | 113% | 352 [3-1149] | 433 | 123% |
| Madagascar | 5542 [ 366-24808] | 579 | -90% | 955 [ 366-1873] | 567 | -41% |
| Malawi | 438 [ 233-1057] | 60 | -86% | 433 [233 - 1044] | 59 | -86% |
| Mali | 671 [266 - 1398] | 683 | 102% | 630 [266 - 1398] | 683 | 108% |
| Mauritania | 64 [37 - 120] | 36 | -44% | 64 [37 - 120] | 0 | -100% |
| Mauritius | 305 [0 - 1525] | 0 | -100% | 305 [0 - 1525] | 0 | -100% |
| Mozambique | 1180 [446-1800] | 2447 | 207% | 1177 [444-1798] | 2445 | 208% |
| Namibia | 812 [2-2077] | 219 | -73% | 727 [2-2029] | 219 | -70% |
| Niger | 990 [513-1683] | 1238 | 125% | 990 [513-1681] | 1237 | 125% |
| Nigeria | 1472 [ 9343-19965] | 15176 | 103% | 9071 [5903-11604] | 8434 | -7% |
| Rwanda | 688 [427-1164] | 842 | 122% | 685 [427-1146] | 842 | 123% |
| Sao tome and Principe | 0 [0-1] | 1 | 100% | 0 [0-1] | 0 | 0% |
| Senegal | 730 [358 - 998] | 573 | -22% | 729 [358-985] | 573 | -21% |
| Seychelles | 196 [0-968] | 112 | -43% | 196 [0-967] | 112 | -43% |
| Sierra Leone | 297 [121-536] | 37 | -88% | 295 [121-525] | 37 | -87% |
| South Africa | 3341 [1902 - 5288] | 1153 | -65% | 3301 [1706-5287] | 1140 | -65% |
| South Sudan | 649 [267-1119] | 1326 | 204% | 273 [193-371] | 194 | -29% |
| Tanzania | 1469 [1016-2063] | 2481 | 169% | 1363 [929-1960] | 2428 | 178% |
| Togo | 415 [352-682] | 205 | -51% | 415 [295-682] | 205 | -51% |
| Uganda | 2286 [1498 - 3658] | 606 | -73% | 2080 [1232-3422] | 426 | -80% |
| Zambia | 381 [ 298-485] | 237 | -38% | 380 [298-484] | 237 | -38% |
| Zimbabwe | 805 [327 - 2081] | 269 | -67% | 801 [327-2076] | 269 | -66% |
Figure 1monthly number of blood specimens collected from suspected measles cases for laboratory confirmation; measles laboratory surveillance database 2014-2020
annual measles case-based surveillance performance 2014-2020 (WHO African Region)
| Parameter | Annual surveillance performance | ||||||
|---|---|---|---|---|---|---|---|
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
| % cases that have benefited from investigation including collection of laboratory specimens ≥ 80% | 85% | 82% | 86% | 97% | 94% | 81% | 83% |
| % districts reporting ≥ 80% | 77% | 82% | 82% | 82% | 88% | 89% | 86% |
| Non-measles Febrile Rash Illness (NMFRI) rate ≥ 2.0 per 100,000 population] | 3 | 2.5 | 2.5 | 3.1 | 2.8 | 3.2 | 2.1 |
| Number of countries with at least 80% districts reporting | 28 | 24 | 28 | 30 | 33 | 35 | 30 |
| Number of countries with NMFRI rate of 2 or more per 100,000 population | 26 | 27 | 25 | 30 | 29 | 27 | 18 |
| Number of countries meeting targets for both performance indicators | 20 | 19 | 20 | 26 | 23 | 22 | 11 |
| Total number of countries implementing case-based surveillance for measles | 44 | 44 | 44 | 44 | 46 | 47 | 47 |
surveillance performance in 2020 as compared to the national average for 2014-2019 (WHO African Region)
| Country | Surveillance performance in 2020 as compared to the national average for 2014-2019 | |||||
|---|---|---|---|---|---|---|
| Non-measles febrile rash illness rate (NMFRI)- ≥ 2.0 | % districts reporting suspected cases with blood specimen-≥ 80% | |||||
| Average for 2014 - 2019 | Range for 2014 - 2019 | 2020 | Average for 2014 - 2019 | Range for 2014 - 2019 | 2020 | |
| Algeria | 0.1 | [0 - 0.2] | 0.2 | 62% | [42 - 100%] | 96% |
| Angola | 1.3 | [0.8 - 1.9] | 1.1 | 71% | [41 - 100%] | 92% |
| Benin | 1.6 | [0.9 - 2.1] | 1.6 | 85% | [75 - 100%] | 85% |
| Botswana | 12.3 | [4.8 - 39] | 1.6 | 85% | [80 - 96%] | 76% |
| Burkina Faso | 1.1 | [0.6 - 2.0] | 1.5 | 87% | [77 - 100%] | 88% |
| Burundi | 1.7 | [1.3 - 2.8] | 2.5 | 74% | [64 - 84%] | 71% |
| Cameroon | 4.2 | [2.5 - 5.8] | 1.8 | 89% | [86 - 91%] | 82% |
| Cape Verde | 0.0 | [0.0 - 0.0] | 0.0 | 18% | [0 - 100%] | 0% |
| Central African Republic | 6.7 | [3.7 - 11.9] | 4.7 | 79% | [69 - 100%] | 77% |
| Chad | 1.6 | [0.4 - 2.4] | 0.9 | 96% | [86 - 100%] | 82% |
| Comoros | 6.1 | [0.1 - 18.8] | 4.5 | 82% | [0 - 100%] | 85% |
| Congo | 4.8 | [3.1-7.1] | 1.8 | 92% | [83 - 100%] | 96% |
| Cote d'Ivoire | 6.1 | [2.3 - 8.8] | 7.6 | 82% | [79 - 87%] | 74% |
| D. R. Congo | 2.0 | [1.5-2.4] | 2.3 | 63% | [39 - 85%] | 82% |
| Eq. Guinea | 2.4 | [0.2-6.8] | 2.4 | 68% | [28 - 85%] | 60% |
| Eritrea | 3.8 | [2.1 - 6.8] | 3.1 | 46% | [29 - 60%] | 29% |
| Eswatini | 7.5 | [2.7 - 10.3] | 3.9 | 87% | [80 -100%] | 80% |
| Ethiopia | 2.2 | [1.9 - 2.5] | 1.4 | 91% | [80 - 99%] | 84% |
| Gabon | 6.6 | [0.5- 14.4] | 3.2 | 79% | [61 - 100%] | 86% |
| Gambia | 3.0 | [0.9 - 5.3] | 2.0 | 74% | [56 - 100%] | 78% |
| Ghana | 3.2 | [2.6 - 3.7] | 5.5 | 100% | [100 - 100%] | 90% |
| Guinea | 3.8 | [0.2 - 6.1] | 2.3 | 83% | [39 - 100%] | 84% |
| Guinea Bissau | 0.0 | [0.0 - 0.1] | 0.0 | 2% | [0 - 9%] | 0% |
| Kenya | 1.8 | [1.1 - 2.8] | 0.6 | 87% | [66 - 100%] | 90% |
| Lesotho | 11.0 | [3.2 - 27.0] | 5.2 | 92% | [ 90 - 100%] | 100% |
| Liberia | 4.2 | [0.1 - 13.7] | 0.0 | 54% | [6 - 94%] | 94% |
| Madagascar | 3.6 | [1.5 - 4.7] | 1.8 | 89% | [65 - 100%] | 93% |
| Malawi | 2.4 | [0.6 - 6.6] | 0.3 | 74% | [52 - 96%] | 52% |
| Mali | 1.8 | [1.1 - 2.8] | 1.0 | 94% | [79 -100%] | 92% |
| Mauritania | 1.4 | [0.9 - 3.0] | 0.0 | 59% | [28 - 100%] | 0% |
| Mauritius | 0.0 | [0.0 - 0.0] | 0.0 | 20% | [ 0 - 0%] | 0% |
| Mozambique | 4.8 | [3.9 - 5.1] | 5.2 | 99% | [97 - 100%] | 98% |
| Namibia | 12.6 | [7.3 - 45.6] | 7.8 | 83% | [73 - 100%] | 76% |
| Niger | 1.0 | [0.6- 2.4] | 1.8 | 99% | [98 - 100%] | 97% |
| Nigeria | 2.7 | [1.4 - 4.4] | 2.3 | 93% | [81 - 100%] | 99% |
| Rwanda | 7.3 | [3.6 - 10.4] | 6.0 | 95% | [94 - 97%] | 97% |
| SaoTome and Principe | 0.2 | [0.0 - 0.0] | 0.0 | 50% | [0 - 0%] | 0% |
| Senegal | 4.2 | [2.2 - 6.8] | 1.8 | 94% | [89 - 100%] | 96% |
| Seychelles | 0.4 | [0.0 - 1.2] | 8.6 | 56% | [ 0 - 100%] | 5% |
| Sierra Leone | 2.6 | [0.9 - 6.2] | 0.3 | 92% | [87 - 93%] | 93% |
| South Africa | 6.6 | [2.3 - 9.2] | 1.9 | 87% | [78 - 100%] | 82% |
| South Sudan | 1.7 | [0.8 - 3.1] | 0.9 | 39% | [29 - 49%] | 41% |
| Tanzania | 2.0 | [0.8 - 2.5] | 2.4 | 97% | [87 - 100%] | 90% |
| Togo | 3.8 | [1.2 - 7.5] | 1.4 | 96% | [92 - 100%] | 96% |
| Uganda | 2.9 | [1.9 - 6.8] | 0.7 | 94% | [92 - 100%] | 93% |
| Zambia | 1.7 | [0.4 - 2.7] | 0.9 | 73% | [53 - 93%] | 54% |
| Zimbabwe | 6.0 | [2.8 - 15.5] | 1.9 | 93% | [77 - 90%] | 92% |
national measles laboratory performance 2014-2020 (WHO African Region)
| Parameter | National measles laboratory performance. African Region. 2014-2020. | ||||||
|---|---|---|---|---|---|---|---|
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
| % specimens received at the national measles laboratory within 3 days of collection ≥ 80% | 44.8% | 43.9% | 41.9% | 42.0% | 36.9% | 36.2% | 30.0% |
| % IgM results sent out within 7 days of receipt of specimens ≥ 80% | 67.6% | 70.5% | 68.7% | 69.5% | 64.4% | 65.4% | 55.2% |
| % of countries which attained 80% specimens arriving at the laboratory within 3 days of collection | 14.0% | 16.3% | 11.9% | 14.3% | 13.6% | 9.0% | 8.7% |