Table-2.
Descriptive statistics and item-total correlation.
| Scenarios | Statements | Denotes | Strongly disagree % (n) | Disagree % (n) | Neither agree nor disagree % (n) | Agree % (n) | Strongly agree % (n) | Mean | Std. Deviation | Variance | Skewness | Kurtosis | Corrected Item-Total Correlation |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scenario-1: Climate change-induced unprecedented disasters (flood or cyclone etc.) during or after COVID19 situation in Bangladesh (OS1) | The country will face another physiological shock | OS1S1 | 1.3 (21) | 0.6 (10) | 3.8 (60) | 32.7 (520) | 61.6 (979) | 4.53 | 0.719 | 0.517 | −2.12 | 6.61 | 0.58 |
| Food insecurity will increase in the whole country | OS1S2 | 0.6 (10) | 1.3 (21) | 3.1 (49) | 30.8 (490) | 64.2 (1020) | 4.57 | 0.68 | 0.462 | −2.016 | 5.772 | 0.58 | |
| Loss and damage of lives and properties | OS1S3 | 0.6 (10) | 0.6 (10) | 3.8 (60) | 30.8 (490) | 64.2 (1020) | 4.57 | 0.66 | 0.436 | −1.939 | 5.649 | 0.67 | |
| Poor and vulnerable communities living in the climate-vulnerable hotspots will be in the most affected groups | OS1S4 | 0 (0) | 1.3 (21) | 3.8 (60) | 25.2 (400) | 69.8 (1109) | 4.64 | 0.621 | 0.385 | −1.816 | 3.496 | 0.59 | |
| A severe socio-economic crisis will increase | OS1S5 | 0 (0) | 0.6 (9) | 5.7 (91) | 27 (429) | 66.7 (1061) | 4.6 | 0.628 | 0.394 | −1.464 | 1.704 | 0.73 | |
| Poverty level will increase | OS1S6 | 0 (0) | 0 (0) | 4.4 (70) | 26.4 (420) | 69.2 (1100) | 4.65 | 0.564 | 0.318 | −1.354 | 0.883 | 0.68 | |
| Management strategies for Scenario-1 | Prepare for the uncertain climate change-induced disasters | OS1M1 | 0.6 (10) | 1.9 (30) | 5.7 (90) | 34 (540) | 57.9 (920) | 4.47 | 0.744 | 0.554 | −1.651 | 3.505 | 0.58 |
| Make a proper response plan to face the upcoming challenge | OS1M2 | 0 (0) | 0.6 (10) | 3.1 (49) | 29.6 (471) | 66.7 (1060) | 4.62 | 0.581 | 0.338 | −1.471 | 2.198 | 0.64 | |
| Coordination between government agencies, non-government organizations and private sectors to take the preparation and response initiatives | OS1M3 | 0 (0) | 1.3 (21) | 5.7 (90) | 23.3 (370) | 69.8 (1109) | 4.62 | 0.654 | 0.428 | −1.746 | 2.793 | 0.65 | |
| Extra effort to increase agricultural production to combat the future food crisis | OS1M4 | 0 (0) | 0.6 (10) | 2.5 (40) | 19.5 (310) | 77.4 (1230) | 4.74 | 0.533 | 0.284 | −2.178 | 5.246 | 0.46 | |
| Continuation and customization of social safety net programmes for the most vulnerable | OS1M5 | 0 (0) | 1.3 (21) | 5 (79) | 27 (429) | 66.7 (1061) | 4.59 | 0.648 | 0.42 | −1.615 | 2.508 | 0.55 | |
| Scenario 2: Dengue and other infectious disease outbreak during or after COVID-19 pandemic in Bangladesh (OS2) | The country will face another physiological shock | OS2S1 | 0.6 (10) | 1.3 (21) | 4.4 (70) | 25.8 (410) | 67.9 (1079) | 4.59 | 0.695 | 0.484 | −2.103 | 5.635 | 0.70 |
| The health sector will face the double burden (Epidemic after Pandemic) which will disrupt its system to provide health supports | OS2S2 | 0.6 (10) | 1.3 (21) | 3.1 (49) | 19.5 (310) | 75.5 (1200) | 4.68 | 0.659 | 0.434 | −2.635 | 8.574 | 0.69 | |
| Many people will die due to several health complications including COVID19-like pandemic and Dengue-like epidemic | OS2S3 | 0 (0) | 0.6 (10) | 5.7 (90) | 25.2 (400) | 68.6 (1090) | 4.62 | 0.624 | 0.39 | −1.557 | 1.978 | 0.73 | |
| The severe socio-economic crisis will increase | OS2S4 | 0 (0) | 0.6 (10) | 3.8 (60) | 23.9 (380) | 71.7 (1140) | 4.67 | 0.581 | 0.338 | −1.758 | 3.045 | 0.75 | |
| Poverty level will increase | OS2S5 | 0 (0) | 0.6 (10) | 5.7 (90) | 27 (430) | 66.7 (1060) | 4.6 | 0.628 | 0.394 | −1.464 | 1.704 | 0.70 | |
| Management strategy for Scenario-2 | Massive awareness and preventions measures should be taken before dengue outbreak | OS2M1 | 0 (0) | 0 (0) | 3.8 (60) | 18.9 (300) | 77.4 (1230) | 4.74 | 0.521 | 0.272 | −1.86 | 2.636 | 0.68 |
| Provide technical and financial supports in the health sector | OS2M2 | 0.6 (9) | 0.6 (10) | 1.3 (21) | 18.2 (290) | 79.2 (1260) | 4.75 | 0.573 | 0.329 | −3.206 | 14.147 | 0.68 | |
| Provide intensive/insurance support to the health workers | OS2M3 | 0 (0) | 2.5 (40) | 4.4 (70) | 25.8 (410) | 67.3 (1070) | 4.58 | 0.697 | 0.486 | −1.818 | 3.3 | 0.70 | |
| City corporations should take strong preparations and actions | OS2M4 | 0 (0) | 0.6 (10) | 2.5 (40) | 18.9 (300) | 78 (1240) | 4.74 | 0.53 | 0.281 | −2.231 | 5.509 | 0.70 | |
| Scenario-3: Simultaneous multi-hazards risk of the COVID-19 pandemic, climatic disasters, and other infectious diseases in Bangladesh (OS3) | The country will face the massive physiological shock | OS3S1 | 0 (0) | 0 (0) | 5 (79) | 15.1 (241) | 79.9 (1270) | 4.75 | 0.539 | 0.291 | −2.077 | 3.382 | 0.65 |
| Prolonged food insecurity in the whole country | OS3S2 | 0 (0) | 0.6 (10) | 5 (79) | 20.8 (330) | 73.6 (1171) | 4.67 | 0.601 | 0.361 | −1.85 | 3.097 | 0.70 | |
| The education system will face an irreversible system loss | OS3S3 | 1.3 (21) | 1.9 (30) | 8.8 (139) | 23.9 (380) | 64.2 (1020) | 4.48 | 0.833 | 0.694 | −1.825 | 3.52 | 0.57 | |
| The total economy will be disrupted | OS3S4 | 0 (0) | 3.1 (49) | 2.5 (40) | 22.6 (360) | 71.7 (1141) | 4.63 | 0.689 | 0.475 | −2.176 | 4.937 | 0.64 | |
| Prolonged and severe health, psychosocial and socio-economic crisis | OS3S5 | 0 (0) | 0.6 (10) | 3.1 (49) | 25.2 (401) | 71.1 (1130) | 4.67 | 0.57 | 0.325 | −1.723 | 3.073 | 0.69 | |
| The number of unemployed populations will increase | OS3S6 | 0 (0) | 0.6 (10) | 4.4 (70) | 30.2 (480) | 64.8 (1030) | 4.59 | 0.608 | 0.37 | −1.382 | 1.687 | 0.72 | |
| The young generation will become mentally depressed | OS3S7 | 1.9 (30) | 1.3 (21) | 5.7 (91) | 26.4 (418) | 64.8 (1030) | 4.51 | 0.818 | 0.669 | −2.173 | 5.601 | 0.41 | |
| Poverty level and the number of ultra-poor population will increase | OS3S8 | 0 (0) | 0 (0) | 2.5 (40) | 26.4 (420) | 71.1 (1130) | 4.69 | 0.517 | 0.268 | −1.351 | 0.86 | 0.64 | |
| Small and medium enterprises will collapse | OS3S9 | 0 (0) | 0.6 (10) | 8.8 (140) | 30.8 (490) | 59.7 (950) | 4.5 | 0.683 | 0.467 | −1.134 | 0.51 | 0.70 | |
| Child mortality rate will increase drastically | OS3S10 | 0.6 (10) | 4.4 (70) | 18.2 (289) | 32.7 (520) | 44 (701) | 4.15 | 0.915 | 0.838 | −0.857 | 0.086 | 0.50 | |
| Maternal and physical health status of the country will decrease | OS3S11 | 0.6 (10) | 0.6 (10) | 8.2 (130) | 32.1 (510) | 58.5 (930) | 4.47 | 0.728 | 0.529 | −1.499 | 2.888 | 0.60 | |
| Social conflict, illegal activities, gender-based violence and crimes will increase | OS3S12 | 0.6 (10) | 1.9 (30) | 6.9 (110) | 37.1 (590) | 53.5 (850) | 4.41 | 0.757 | 0.572 | −1.462 | 2.79 | 0.56 | |
| SDGs and other national targets will not be achieved as it planned | OS3S13 | 0.6 (10) | 1.3 (21) | 5.7 (91) | 30.8 (489) | 61.6 (979) | 4.52 | 0.719 | 0.517 | −1.762 | 4.052 | 0.57 | |
| Management strategies for Scenario-3 | Categorized rapid risk assessment is required such as short, medium and long term | OS3M1 | 0 (0) | 0 (0) | 3.8 (60) | 32.1 (510) | 64.2 (1020) | 4.6 | 0.563 | 0.317 | −1.066 | 0.153 | 0.65 |
| The special action plan should be drawn to implement mass awareness and measures for both Dengue epidemic, disasters and COVID-19 pandemic in a single umbrella | OS3M2 | 0 (0) | 0.6 (10) | 5.7 (91) | 25.8 (410) | 67.9 (1079) | 4.61 | 0.626 | 0.391 | −1.525 | 1.883 | 0.59 | |
| Stringent collaboration among all the respective sectors are in utmost important | OS3M3 | 0 (0) | 0 (0) | 2.5 (40) | 32.1 (510) | 65.4 (1040) | 4.63 | 0.534 | 0.285 | −1.036 | 0.016 | 0.72 | |
| Need strong volunteer groups with proper coordination, training and equipment | OS3M4 | 0.6 (10) | 0 (0) | 2.5 (39) | 26.4 (421) | 70.4 (1120) | 4.66 | 0.594 | 0.352 | −2.301 | 8.564 | 0.52 | |
| Need to set the priority sectors and ensure preparedness early on | OS3M5 | 0 (0) | 0 (0) | 3.1 (49) | 28.3 (450) | 68.6 (1090) | 4.65 | 0.539 | 0.291 | −1.254 | 0.609 | 0.67 | |
| National coordination committee can be formed headed by Prime Minister of Bangladesh | OS3M6 | 0.6 (10) | 0 (0) | 6.3 (100) | 24.5 (390) | 68.6 (1090) | 4.6 | 0.666 | 0.443 | −1.952 | 5.062 | 0.44 | |
| An integrated task force can be prepared to have an expert group from each vulnerable area | OS3M7 | 0 (0) | 0 (0) | 3.1 (49) | 32.7 (520) | 64.2 (1021) | 4.61 | 0.55 | 0.303 | −1.025 | 0.039 | 0.68 | |
| Long-term health policy to combat the prolonged psychosocial and socio-economic crisis | OS3M8 | 0 (0) | 0 (0) | 4.4 (70) | 32.1 (510) | 63.5 (1010) | 4.59 | 0.576 | 0.332 | −1.068 | 0.162 | 0.59 | |
| Microfinance program for the unemployed and small-interest credits for the agricultural/IT/industry-based start-ups to create employment and business | OS3M9 | 0.6 (10) | 0 (0) | 6.3 (100) | 32.1 (510) | 61 (970) | 4.53 | 0.673 | 0.453 | −1.616 | 3.926 | 0.57 | |
| Special counselling for the affected persons, their family and the unemployed to overcome the crisis | OS3M10 | 0 (0) | 0 (0) | 5 (80) | 32.1 (510) | 62.9 (1000) | 4.58 | 0.589 | 0.347 | −1.064 | 0.146 | 0.51 |