Table 3(suite).
distribution of challenges per indicators and packages by WHO regions and globally, May 2020
| Package | Indicator | Challenges | AFRO (N=44) | EMRO (N=17) | EURO (N=14) | SEARO (N=8) | WPRO (N=11) | Global (N=94) |
|---|---|---|---|---|---|---|---|---|
| D.2 Real time surveillance | D.2.1 Indicator and event-based surveillance | No or insufficient event-based surveillance (human health sector, animal sector, environment sector, insufficient geographical coverage, insufficient implementation, no list of priority event or case definition) | 30(68%) | 15(88%) | 6(43%) | 0(0%) | 4(36%) | 55(59%) |
| Weak / insufficient community-based surveillance in all provinces | 21(48%) | 1(6%) | 6(43%) | 1(13%) | 0(0%) | 29(31%) | ||
| Weak data management (collation, validation, quality audits, completeness, promptness) at each level in human and / or animal sector | 20(45%) | 7(41%) | 7(50%) | 3(38%) | 4(36%) | 41(44%) | ||
| Low involvement of hospitals and / or private sector in surveillance | 15(34%) | 5(29%) | 0(0%) | 3(38%) | 1(9%) | 24(26%) | ||
| Insufficient timeliness of reporting / complete and timely surveillance reports | 9(20%) | 1(6%) | 4(29%) | 5(63%) | 0(0%) | 19(20%) | ||
| D.2.2 Interoperable, interconnected, electronic real-time reporting system | Need of training on surveillance (Health workers, community members, private sector, IDSR, maintenance, event-based surveillance) | 21(48%) | 4(24%) | 5(36%) | 3(38%) | 4(36%) | 37(39%) | |
| No or insufficient use of electronic reporting systems for notifiable diseases for human health and animal health | 20(45%) | 15(88%) | 9(64%) | 7(88%) | 7(64%) | 58(62%) | ||
| Human surveillance system is not or is insufficiently interconnected and interoperable with animal and environment sectors surveillance | 28(64%) | 10(59%) | 4(29%) | 3(38%) | 6(55%) | 51(54%) | ||
| Collaboration between the human and animal health sectors in the area of zoonotic diseases should be strengthened | 15(34%) | 5(29%) | 6(43%) | 2(25%) | 5(45%) | 33(35%) | ||
| Weak internet connectivity in the health facilities and / or low availability of IT materials. | 8(18%) | 3(18%) | 0(0%) | 1(13%) | 4(36%) | 16(17%) | ||
| D.2.3 Analysis of surveillance data | Insufficient capacity of surveillance officers on data analysis at the district level | 21(48%) | 10(59%) | 4(29%) | 5(63%) | 4(36%) | 44(47%) | |
| No mechanism in place to link epidemiological and laboratory data | 15(34%) | 7(41%) | 0(0%) | 2(25%) | 2(18%) | 26(28%) | ||
| No centrally located mechanism for integrating data from clinical case reporting and data from clinical or reference microbiological laboratories | 15(34%) | 1(6%) | 0(0%) | 4(50%) | 0(0%) | 20(21%) | ||
| No / insufficient analysis of surveillance data at district level | 15(34%) | 4(24%) | 3(21%) | 2(25%) | 2(18%) | 26(28%) | ||
| Insufficient development of complete and timely report by each surveillance system (Publishing and disseminating surveillance reports or bulletins on a weekly basis) | 7(16%) | 4(24%) | 0(0%) | 3(38%) | 0(0%) | 14(15%) | ||
| D.2.4 Syndromic surveillance | No or weak syndromic surveillance | 12(27%) | 5(29%) | 5(36%) | 3(38%) | 2(18%) | 27(29%) | |
| Reporting should be systematically shared with relevant sectors | 16(36%) | 4(24%) | 1(7%) | 2(25%) | 0(0%) | 23(24%) |
N represents the number of countries that completed JEE in each region. Blue cells indicate main challenges.