Table 1.
The State-wise prevailing coverage of routine death surveillance (death registration along with MCCD) and the correction factor, India (2018) (11, 12).
| S. No. | States | Death registration among estimated deaths | MCCD among registered deaths | Death registration along with MCCD | Correction (multiplication) factor to adjust for routine death surveillance | Range of combined correction (multiplication) factor to adjust for routine death surveillance and errors in MCCD |
|---|---|---|---|---|---|---|
| A | B | C = A*B | D = 1/(C) | Lower range = D*1, Upper range = D*2 | ||
| 1. | Andhra Pradesh | 1.000 | 0.149 | 0.149 | 6.7 | 6.7, 13.4 |
| 2. | Telangana | 0.582 | 0.374 | 0.218 | 4.6 | 4.6, 9.2 |
| 3. | Arunachal Pradesh | 0.478 | 0.329 | 0.157 | 6.4 | 6.4, 12.8 |
| 4. | Assam | 0.669 | 0.120 | 0.080 | 12.5 | 12.5, 25.0 |
| 5. | Bihar | 0.346 | 0.136 | 0.047 | 21.3 | 21.3, 42.6 |
| 6. | Chhattisgarh | 0.835 | 0.198 | 0.165 | 6.1 | 6.1, 12.2 |
| 7. | Goa | 1.000 | 1.000 | 1.000 | 1.0 | 1.0, 2.0 |
| 8. | Gujarat | 1.000 | 0.234 | 0.234 | 4.3 | 4.3, 8.6 |
| 9. | Haryana | 1.000 | 0.204 | 0.204 | 4.9 | 4.9, 9.8 |
| 10. | Himachal Pradesh | 0.839 | 0.150 | 0.126 | 8.0 | 8.0, 16.0 |
| 11. | Jharkhand | 0.549 | 0.046 | 0.025 | 39.6 | 39.6, 79.2 |
| 12. | Karnataka | 1.000 | 0.311 | 0.311 | 3.2 | 3.2, 6.4 |
| 13. | Kerala | 1.000 | 0.119 | 0.119 | 8.4 | 8.4, 16.8 |
| 14. | Madhya Pradesh | 0.788 | 0.105 | 0.083 | 12.1 | 12.1, 24.2 |
| 15. | Maharashtra | 0.984 | 0.348 | 0.342 | 2.9 | 2.9, 5.8 |
| 16. | Manipur | 0.375 | 0.514 | 0.193 | 5.2 | 5.2, 10.4 |
| 17. | Meghalaya | 0.897 | 0.431 | 0.387 | 2.6 | 2.6, 5.2 |
| 18. | Mizoram | 1.000 | 0.589 | 0.589 | 1.7 | 1.7, 3.4 |
| 19. | Nagaland | 0.097 | 0.287 | 0.028 | 35.9 | 35.9, 71.8 |
| 20. | Odisha | 1.000 | 0.111 | 0.111 | 9.0 | 9.0, 18.0 |
| 21. | Punjab | 1.000 | 0.171 | 0.171 | 5.9 | 5.9, 11.8 |
| 22. | Rajasthan | 0.999 | 0.131 | 0.131 | 7.6 | 7.6, 15.2 |
| 23. | Sikkim | 1.000 | 0.425 | 0.425 | 2.4 | 2.4, 4.8 |
| 24. | Tamil Nadu | 1.000 | 0.450 | 0.450 | 2.2 | 2.2, 4.4 |
| 25. | Tripura | 1.000 | 0.223 | 0.223 | 4.5 | 4.5, 9.0 |
| 26. | Uttarakhand | 0.707 | 0.111 | 0.078 | 12.7 | 12.7, 25.4 |
| 27. | Uttar Pradesh | 0.608 | 0.051 | 0.031 | 32.3 | 32.3, 64.6 |
| 28. | West Bengal | 0.918 | 0.129 | 0.118 | 8.4 | 8.4, 16.8 |
| 29. | Andaman and Nicobar | 0.729 | 0.595 | 0.434 | 2.3 | 2.3, 4.6 |
| 30. | Chandigarh | 1.000 | 0.718 | 0.718 | 1.4 | 1.4, 2.8 |
| 31. | Delhi | 1.000 | 0.623 | 0.623 | 1.6 | 1.6, 3.2 |
| 32. | Puducherry | 1.000 | 0.740 | 0.740 | 1.4 | 1.4, 2.8 |
| 33. | J&K and Ladakh | 0.633 | – | 0.633 | 1.6 | 1.6, 3.2 |
| 34. | DNH, D&D | 0.857 | 1.000 | 0.857 | 1.2 | 1.2, 2.4 |
| 35. | India | 0.860 | 0.210 | 0.181 | 5.5 | 5.5, 11 |
MCCD, medical certification of cause of death; J and K, Jammu and Kashmir; DNH, Dadra Nagar Haveli; D and D, Daman and Diu.
*
The correction factor to adjust for the prevailing routine death surveillance may be multiplied with a correction factor for errors in MCCD (we have considered an upper limit of two) to get the combined correction factor to adjust for the prevailing routine death surveillance as well as errors in MCCD. The combined correction factor could be higher than the upper range if errors in MCCD are higher than our assumptions.