| Literature DB >> 33069704 |
Md Mostafizur Rahman1, Md Bodrud-Doza2, Mashura Shammi3, Abu Reza Md Towfiqul Islam4, Abu Sadat Moniruzzaman Khan2.
Abstract
Bangladesh is one of the most vulnerable countries to climate change impacts also struck by the COVID-19 pandemic. The lockdown measures were ineffective with no sign of flattening the curve. Therefore, the high risk of transmission is evident with an increasing number of affected people. Under this circumstance, a multiple hazards scenario can be developed in this country due to climatic hazards such as cyclones, floods, landslides, heat waves, and the outbreak of infectious diseases such as dengue, cholera, and diarrhoea. The country experiences simultaneously the global pandemic, exceptionally prolonged flood along with the recovery stage from the damages due to the cyclone (Amphan). Therefore, these multiple factors have been putting pressure on losing millions of homes, livelihoods, and agricultural crops. This study aimed to assess the potential impact of a simultaneous strike of climatic hazards and infectious disease outbreaks and their possible strategic management in Bangladesh under different scenarios. A mixed methodological approach was followed in this study including a questionnaire survey, in-depth discussion with experts, and extensive literature review to assess the multi-hazard scenario in a resource-limited setting with high population density. A set of statistical techniques were used to analyze the responses (n = 1590) from different social groups (healthcare professionals, academicians, students, Government and NGO officials, and businessman) under three scenarios. The results revealed the high possibility of aggravating the impact of COVID-19 pandemic if there is a climatic hazard such as flood, cyclone have appeared. The majority of the respondents agreed that the situation will become more devastating if there is another outbreak of diseases such as dengue, cholera, and diarrhoea. The poor and fragile healthcare system of this country cannot bear such unprecedented pressure. The lack of risk assessment and communication, lack of sectoral coordination might restrict the contingency plan of the government. Therefore, considering the unprecedented worst cases a stringent strategic plan for emergency response, short term and long-term management should have to be formulated. Resilience building through proactive planning and implementation of integrated, inclusive and sustainable strategies will be effective to ensure the health and socio-economic security for multi-hazard threats in the country.Entities:
Keywords: Climate change and health; Climatic hazards; Dengue; Vulnerability
Mesh:
Year: 2020 PMID: 33069704 PMCID: PMC7561529 DOI: 10.1016/j.envres.2020.110303
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 6.498
Figure-1COVID-19 in Bangladesh (a) Cases (b) Deaths and (c) Percentage of cases per total test.
Figure-2Most climate vulnerable disricts and sub-districts (Modified after MoEFCC, 2018).
Figure-3COVID-19, Cyclone Amphan and Flood affected areas.
Figure-4Annual Dengue fever reported cases and deaths in Bangladesh 2000–2019.
Fig. 5Monthly distribution of climatic extreme and slow-on set events.
Cronbach's alpha value.
| Scenario | Number of items | Reliability | Validity |
|---|---|---|---|
| OS1 | 11 | 0.905 | 0.906 |
| OS2 | 9 | 0.927 | 0.929 |
| OS3 | 23 | 0.937 | 0.942 |
| Total | 43 | 0.965 | 0.967 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 |
Figure-6Scree plots of the eigenvalues of PCA.
Figure-7Dendrogram showing the clustering of people's perceptions on different scenarios.