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Trigger: cyclone track over Cox's Bazar, 1M displaced exposure
The curated trigger is specific: a cyclone track over Cox's Bazar with roughly one million displaced people in the exposure zone (note). This is the camp population most exposed to wind, storm surge, and landslide on steep, deforested, densely packed terrain. The hazard is fast-moving and seasonal, so warning-to-impact time is short and the window to act is measured in hours, not weeks. The Ministry of Disaster Management and Relief (MoDMR) is the lead responsible body (GovTwin entity registry). Two structural features make this harder than a coastal-Bangladesh cyclone: the exposed population is a non-citizen displaced population concentrated in informal settlements, and the standard national cyclone preparedness machinery (early warning, shelters, evacuation) was built around host-community districts, not camp blocks. The current_state value is null, meaning there is no live indicator feed for camp-level readiness, which is itself the first gap to close. Without a standing, camp-specific readiness posture, each cyclone season reopens the same question under time pressure: where do a million people go, who moves them, and who confirms they arrived.
Start with the indicator (action 3) and the shelter register (action 2): you cannot manage readiness you cannot see, and you cannot evacuate to destinations you have not certified. These two unlock everything else, because the alerting chain (action 1) needs destinations and the budget pre-positioning (action 4) needs a capacity target. Once the register and indicator exist, bind the volunteer cascade and pre-position stock. Close the year with the full rehearsal (action 5), which validates the whole chain and produces the corrective list that feeds the next season.
The binding constraints are political and fiscal. The exposed group is a displaced non-citizen population, so durable shelter hardening and permanent host-community evacuation sites are politically sensitive and may be capped to temporary measures, which limits how much surge capacity MoDMR can certify. Fiscally, pre-positioning stock and pre-clearing release authority ties up funds ahead of a hazard that may not strike in a given season, so the relief budget line must be protected from reallocation. Coordination is the third constraint: MoDMR leads, but execution runs through camp coordination and volunteer structures, and the cascade fails if any link is unassigned when the track appears.
The exposure is fixed at roughly one million displaced people under a fast cyclone hazard, so the only lever is readiness built before the season, owned by MoDMR. Close the null indicator, certify shelters, bind the alerting cascade, pre-position stock, and rehearse, in that order, so the next track meets a prepared chain instead of an improvised one.
Where this hazard bites hardest, ranked by population below 5 m elevation, population-weighted with WorldPop 2020. Source: multi-hazard exposure atlas (GloFAS, FABDEM, MODIS, ACAG).
| District | Division | population below 5 m elevation |
|---|---|---|
| Jhalokati | Barisal | 99.5% |
| Patuakhali | Barisal | 99.1% |
| Barguna | Barisal | 99% |
| Pirojpur | Barisal | 98.9% |
| Barisal | Barisal | 96.2% |
| Bagerhat | Khulna | 95.7% |
| Bhola | Barisal | 95.5% |
| Chandpur | Chittagong | 93.5% |
The figures and responsible bodies cited in this prescription are drawn from the platform's own data and the GovTwin registry listed below.
Drafted by an Opus writer grounded in the facts above. Where the prescription cites a figure, it is drawn from those facts. The diagnosis derives from the BDPolicyLab crisis taxonomy; the responsible body and budget from the GovTwin registry. Recommended actions are the think tank's policy judgment.