Spatial distribution of heatwave vulnerability in a coastal city of Bangladesh

Abdullah, 2019, Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017, Remote Sens., 11, 790, 10.3390/rs11070790 Adnan, 2019, The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh, Nat. Hazards, 99, 425, 10.1007/s11069-019-03749-3 Ahmed, 2013, Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh, Remote Sens., 5, 5969, 10.3390/rs5115969 Aldrich, 2008, Disaster preparedness and the chronic disease nedds of vulnerable older adults, Prev. Chronic Dis., 1 Anselin, 1995, Local indicators of spatial association—LISA, Geogr. Anal., 27, 93, 10.1111/j.1538-4632.1995.tb00338.x Ara, 2016, Effect of land-use intensity on surface temperature: a study on Chittagong city corporation area, 72 Arrighi, 2017, Raising awareness on heat related mortality in Bangladesh, American Geophysical Union, Asefi-Najafabady, 2018, Climate change, population, and poverty: vulnerability and exposure to heat stress in countries bordering the Great Lakes of Africa, Clim. Change, 148, 561, 10.1007/s10584-018-2211-5 Aubrecht, 2013, Identification of heat risk patterns in the US national capital region by integrating heat stress and related vulnerability, Environ. Int., 56, 65, 10.1016/j.envint.2013.03.005 Azhar, 2017, Heat wave vulnerability mapping for India, Int. J. Environ. Res. Public Health, 14, 357, 10.3390/ijerph14040357 Basagaña, 2011, Heat waves and cause-specific mortality at all ages, Epidemiology, 765, 10.1097/EDE.0b013e31823031c5 Basilevsky, 2009 BBS, 2011. District statistics 2011 - Chittagong in: Statistics, B.B.o. (Ed.), Dhaka, Bangladesh. 2019 Borsboom, 2003, The theoretical status of latent variables, Psychol. Rev., 110, 203, 10.1037/0033-295X.110.2.203 Burkart, 2014, An analysis of heat effects in different subpopulations of Bangladesh, Int. J. Biometeorol., 58, 227, 10.1007/s00484-013-0668-5 Buscail, 2012, Mapping heatwave health risk at the community level for public health action, Int. J. Health Geogr., 11, 1, 10.1186/1476-072X-11-38 2009 Chen, 2017, Impact of climate change on heat-related mortality in Jiangsu Province, China, Environ. Pollut., 224, 317, 10.1016/j.envpol.2017.02.011 Christenson, 2017, Heat vulnerability index mapping for Milwaukee and Wisconsin, J. Public Health Manag Pract., 23, 396, 10.1097/PHH.0000000000000352 Cutter, 2003, Social vulnerability to environmental hazards, Soc. Sci. Q., 84, 242, 10.1111/1540-6237.8402002 Dewan, 2021, Surface urban heat island intensity in five major cities of Bangladesh: patterns, drivers and trends, Sustain. Cities. Soc., 10.1016/j.scs.2021.102926 Dewan, 2012, The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity, 6337 Dewan, 2009, Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization, Appl. Geogr., 29, 390, 10.1016/j.apgeog.2008.12.005 Dole, 2011, Was there a basis for anticipating the 2010 Russian heat wave?, Geophys. Res. Lett., 38 Ezimand, 2018, The development of spectral indices for detecting built-up land areas and their relationship with land-surface temperature, Int. J. Remote Sens., 39, 8428, 10.1080/01431161.2018.1488282 Field, 2012 Gazi, 2020, Spatio-temporal dynamic land cover changes and their impacts on the urban thermal environment in the Chittagong metropolitan area, Bangladesh, GeoJournal, 1 Getis, 1992, The analysis of spatial association by use of distance statistics, Geogr. Anal., 24, 189, 10.1111/j.1538-4632.1992.tb00261.x Getis, 2010, 127 Goodchild, 1986 Haines, 2006, Climate change and human health: impacts, vulnerability and public health, Public Health, 120, 585, 10.1016/j.puhe.2006.01.002 Hajat, 2007, Heat-related and cold-related deaths in England and Wales: who is at risk?, Occup. Environ. Med., 64, 93, 10.1136/oem.2006.029017 Harlan, 2006, Neighborhood microclimates and vulnerability to heat stress, Soc. Sci. Med., 63, 2847, 10.1016/j.socscimed.2006.07.030 Harlan, 2013, Neighborhood effects on heat deaths: social and environmental predictors of vulnerability in Maricopa County, Arizona, Environ. Health Perspect., 121, 197, 10.1289/ehp.1104625 Harman, 1976 Hassan, 2016, Examination of land use/land cover changes, urban growth dynamics, and environmental sustainability in Chittagong city, Bangladesh, Environ. Dev. Sustain., 18, 697, 10.1007/s10668-015-9672-8 He, 2019, An approach to examining performances of cool/hot sources in mitigating/enhancing land surface temperature under different temperature backgrounds based on landsat 8 image, Sustain. Cities Soc., 44, 416, 10.1016/j.scs.2018.10.049 Ho, 2015, A spatial framework to map heat health risks at multiple scales, Int. J. Environ. Res. Public Health, 12, 16110, 10.3390/ijerph121215046 Hoque, 2013, Greening of industries in Bangladesh: pollution prevention practices, J. Clean. Prod., 51, 47, 10.1016/j.jclepro.2012.09.008 Inostroza, 2016, A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile, PLoS ONE, 11, 10.1371/journal.pone.0162464 Johnson, 2012, Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data, Appl. Geogr., 35, 23, 10.1016/j.apgeog.2012.04.006 Kim, 2017, Mapping heatwave vulnerability in Korea, Nat. Hazards, 89, 35, 10.1007/s11069-017-2951-y Kim, 1978 Kinney, 2008, Approaches for estimating effects of climate change on heat-related deaths: challenges and opportunities, Environ. Sci. Policy, 11, 87, 10.1016/j.envsci.2007.08.001 Kovats, 2008, Heat stress and public health: a critical review, Annu. Rev. Public Health, 29, 41, 10.1146/annurev.publhealth.29.020907.090843 Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 159, 10.2307/2529310 Lavell, 1999 Liu, 2020, Mapping urban heat vulnerability of extreme heat in hangzhou via comparing two approaches, Complexity Mac, 2017, Farmworker vulnerability to heat hazards: a conceptual framework, J. Nurs. Scholarsh., 49, 617, 10.1111/jnu.12327 Macnee, 2016, Heat wave vulnerability and exposure mapping for Osaka City, Japan, Environ. Syst. Decis., 36, 368, 10.1007/s10669-016-9607-4 McGeehin, 2001, The potential impacts of climate variability and change on temperature-related morbidity and mortality in the United States, Environ. Health Perspect., 109, 185 McMichael, 2008, International study of temperature, heat and urban mortality: the ‘ISOTHURM'project, Int. J. Epidemiol., 37, 1121, 10.1093/ije/dyn086 Medina-Ramón, 2006, Extreme temperatures and mortality: assessing effect modification by personal characteristics and specific cause of death in a multi-city case-only analysis, Environ. Health Perspect., 114, 1331, 10.1289/ehp.9074 Méndez-Lázaro, 2018, A heat vulnerability index to improve urban public health management in San Juan, Puerto Rico, Int. J. Biometeorol, 62, 709, 10.1007/s00484-017-1319-z Mitchel, 2005 Mushore, 2018, Determining extreme heat vulnerability of Harare Metropolitan City using multispectral remote sensing and socio-economic data, J. Spat. Sci., 63, 173, 10.1080/14498596.2017.1290558 Nakai, 1999, Deaths from heat-stroke in Japan: 1968–1994, Int. J. Biometeorol., 43, 124, 10.1007/s004840050127 Nayak, 2018, Development of a heat vulnerability index for New York State, Public Health, 161, 127, 10.1016/j.puhe.2017.09.006 Nissan, 2017, Defining and predicting heat waves in Bangladesh, J. Appl. Meteorol. Clim., 56, 2653, 10.1175/JAMC-D-17-0035.1 O'Neill, 2003, Modifiers of the temperature and mortality association in seven US cities, Am. J. Epidemiol., 157, 1074, 10.1093/aje/kwg096 Ogbomo, 2017, Vulnerability to extreme-heat-associated hospitalization in three counties in Michigan, Int. J. Biometeorol., 61, 833, 10.1007/s00484-016-1261-5 Patz, 2005, Impact of regional climate change on human health, Nature, 438, 310, 10.1038/nature04188 Pohlmann, 2004, Use and interpretation of factor analysis in The Journal of Educational Research: 1992-2002, J. Educ. Res., 98, 14, 10.3200/JOER.98.1.14-23 Poumadere, 2005, The 2003 heat wave in France: dangerous climate change here and now, Risk Anal. Int. J., 25, 1483, 10.1111/j.1539-6924.2005.00694.x Raja, 2012, Spatial analysis of land surface temperature in Dhaka metropolitan area, J Bangladesh Inst. Plan. ISSN, 2075, 9363 Reid, 2009, Mapping community determinants of heat vulnerability, Environ. Health Perspect., 117, 1730, 10.1289/ehp.0900683 Rinner, 2010, The role of maps in neighborhood-level heat vulnerability assessment for the city of Toronto, Cartogr. Geogr. Inf. Sci., 37, 31, 10.1559/152304010790588089 Roy, 2020, Examining the nexus between land surface temperature and urban growth in Chattogram metropolitan area of Bangladesh using long term Landsat series data, Urban Clim., 32, 10.1016/j.uclim.2020.100593 Sánchez-Martín, 2019, Hot spot analysis versus cluster and outlier analysis: an enquiry into the grouping of rural accommodation in Extremadura (Spain), ISPRS Int. J. Geo-Inf., 8, 176, 10.3390/ijgi8040176 Schober, 2018, Correlation coefficients: appropriate use and interpretation, Anesth. Analg., 126, 1763, 10.1213/ANE.0000000000002864 Semenza, 1996, Heat-related deaths during the July 1995 heat wave in Chicago, N. Engl. J. Med., 335, 84, 10.1056/NEJM199607113350203 Sisodia, 2014, Analysis of supervised maximum likelihood classification for remote sensing image, 1 Tomlinson, 2011, Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK, Int. J. Health Geogr., 10, 1, 10.1186/1476-072X-10-42 Uejio, 2011, Intra-urban societal vulnerability to extreme heat: the role of heat exposure and the built environment, socioeconomics, and neighborhood stability, Health Place, 17, 498, 10.1016/j.healthplace.2010.12.005 2011 Wilhelmi, 2010, Connecting people and place: a new framework for reducing urban vulnerability to extreme heat, Environ. Res. Lett., 5, 10.1088/1748-9326/5/1/014021 Williams, 2010 Wolf, 2013, The development of a heat wave vulnerability index for London, United Kingdom, Weather Clim. Extre., 1, 59, 10.1016/j.wace.2013.07.004 Zhang, 2018, A raster-based subdividing indicator to map urban heat vulnerability: a case study in sydney, australia, Int. J. Environ. Res. Public Health, 15, 2516, 10.3390/ijerph15112516 Zhang, 2017, Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study, Int. J. Biometeorol., 61, 35, 10.1007/s00484-016-1189-9 Zuhra, 2019, Appraisal of the heat vulnerability index in Punjab: a case study of spatial pattern for exposure, sensitivity, and adaptive capacity in megacity Lahore, Pakistan, Int. J. Biometeorol., 63, 1669, 10.1007/s00484-019-01784-0