The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators
Open accessAbstract
More than half of the world’s population currently live in urban areas and are particularly at risk from the combined effects of the urban heat island phenomenon and heat increases due to climate change. Here, by using remotely sensed surface temperature data and social-ecological indicators, focusing on the hot dry season, and applying the risk framework of the Intergovernmental Panel on Climate Change, we assessed the current heat health risk in 139 Philippine cities, which account for about 40% of the country’s total population. The cities at high or very high risk are found in Metro Manila, where levels of heat hazard and exposure are high. The most vulnerable cities are, however, found mainly outside the national capital region, where sensitivity is higher and capacity to cope and adapt is lower. Cities with high levels of heat vulnerability and exposure must be prioritized for adaptation. Our results will contribute to risk profiling in the Philippines and to the understanding of city-level heat health risks in developing regions of the Asia-Pacific.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Decision making with the analytic hierarchy process
Saaty, T. L. (2008) · International Journal of Services Sciences · doi:10.1504/ijssci.2008.017590 · Cited by 10,301
Thermal remote sensing of urban climates
Voogt, J. A., & Oke, T. R. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00079-8 · Cited by 3,206
Impact of regional climate change on human health
Patz, J. A., Campbell-Lendrum, D., Holloway, T., & Foley, J. A. (2005) · Nature · doi:10.1038/nature04188 · Cited by 3,103
Field, C. B., Barros, V. R., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G., Allen, S., et al. (2012) · Cambridge University Press eBooks · Cited by 3,037
Mortality risk attributable to high and low ambient temperature: a multicountry observational study
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62114-0 · Cited by 2,965
Ecosystem services in urban areas
Bolund, P., & Hunhammar, S. (1999) · Ecological Economics · doi:10.1016/s0921-8009(99)00013-0 · Cited by 2,942
Impact of urbanization and land-use change on climate
Kalnay, E., & Cai, M. (2003) · Nature · doi:10.1038/nature01675 · Cited by 2,370
Classifying and valuing ecosystem services for urban planning
Gómez-Baggethun, E., & Barton, D. N. (2013) · Ecological Economics · doi:10.1016/j.ecolecon.2012.08.019 · Cited by 1,871
Mora, C., Dousset, B., Caldwell, I. R., Powell, F. E., Geronimo, R. C., Bielecki, C. R., Counsell, C. W. W., Dietrich, B. S., Johnston, E. T., Louis, L. V., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3322 · Cited by 1,746
Research works printed but not linked: 10
- IPCC. Climate Change 2001: Impacts, Adaptation, and Vulnerability: Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. (Cambridge University Press, Cambridge, UK, 2001).
- IPCC. Climate Change 2007: Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. (Cambridge University Press, Cambridge, UK, 2007).
- IPCC. Summary for Policymakers. in Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Field, C. B. et al.) (Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2014).
- Seposo, X. T., Dang, T. N. & Honda, Y. Effect modification in the temperature extremes by mortality subgroups among the tropical cities of the Philippines. Glob. Health Action 9, 31500 (2016). · doi:10.3402/gha.v9.31500
- IPCC. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Assessment, Regional Aspects. Contribution of Working Group II to the Fifth Report of the Intergovernmental Panel on Climate Change. (Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2014).
- Stewart, I. & Kennedy, C. Estimating anthropogenic heat release from megacities. Proceedings of the 9th International Conference on Urban Climate, 20–24 July 2015 (Toulouse, France, 2015).
- Estoque, R. C. & Murayama, Y. A worldwide country-based assessment of social-ecological status (c. 2010) using the social-ecological status index. Ecol. Indic. 72, 605–614 (2017). · DOI
- Müller, F., Hoffmann-Kroll, R. & Wiggering, H. Indicating ecosystem integrity—Theoretical concepts and environmental requirements. Ecol. Model. 130, 13–23 (2000). · doi:10.1016/s0304-3800(00)00210-6
- Estoque, R. C. in Urban Development in Asia and Africa: Geospatial Analysis of Metropolises (eds Murayama, Y., Kamusoko, C., Yamashita, A. & Estoque, R. C.) 85–110 (Springer Nature Singapore, 2017).
- März, S. Assessing the fuel poverty vulnerability of urban neighbourhoods using a spatial multi-criteria decision analysis for the German city of Oberhausen. Renew. Sustain. Energy Rev. 82, 1701–1711 (2018). · doi:10.1016/j.rser.2017.07.006
Cited by
Disproportionate exposure to urban heat island intensity across major US cities
Hsu, A., Sheriff, G., Chakraborty, T., & Manya, D. (2021) · Nature Communications · doi:10.1038/s41467-021-22799-5 · Cited by 846
Fang, X., Li, J., & Ma, Q. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104843 · Cited by 270
Dong, J., Peng, J., He, X., Corcoran, J., Qiu, S., & Wang, X. (2020) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2020.103907 · Cited by 269
A systematic review of urban heat island and heat waves research (1991–2022)
Cheval, S., Amihăesei, V.-A., Chitu, Z., Dumitrescu, A., Falcescu, V., Irașoc, A., Micu, D. M., Mihulet, E., Ontel, I., Paraschiv, M.-G., et al. (2024) · Climate Risk Management · doi:10.1016/j.crm.2024.100603 · Cited by 156
Li, F., Yigitcanlar, T., Nepal, M., Thanh, K. N., & Dur, F. (2024) · Remote Sensing · doi:10.3390/rs16163032 · Cited by 59
Metadata
- Authors
- Estoque, R. C., Ooba, M., Seposo, X. T., Togawa, T., Hijioka, Y., Takahashi, K., & Nakamura, S.
- Venue
- Nature Communications
- Published
- 2020-03-27
- Volume
- 11
- Issue
- 1
- Pages
- 1581-1581
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3013497865
- Cited by
- 346
- References
- 62
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- Please see Acknowledgements section in the article. Thank you.
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators. https://app.cochat.ai/papers/10.1038/s41467-020-15218-8
- The paper
- Estoque, R. C., Ooba, M., Seposo, X. T., Togawa, T., Hijioka, Y., Takahashi, K., & Nakamura, S. (2020). Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators. Nature Communications. https://doi.org/10.1038/s41467-020-15218-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
