{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T22:39:32Z","timestamp":1793140772063,"version":"4.5.0"},"reference-count":60,"publisher":"American Medical Association (AMA)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"\n Importance<\/jats:title>\n Dengue fever is a climate-sensitive infectious disease. However, its association with local hydrological conditions and the role of city development remain unclear.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To quantify the association between hydrological conditions and dengue fever incidence in China and to explore the modification role of city development in this association.<\/jats:p>\n <\/jats:sec>\n \n Design, Setting, and Participants<\/jats:title>\n This cross-sectional study collected data between January 1, 2013, and December 31, 2019, from 54 cities in 4 coastal provinces in southeast China. The Standardized Precipitation Evapotranspiration Index (SPEI) was calculated from ambient temperature and precipitation, with SPEI thresholds of 2 for extreme wet conditions and \u22122 for extreme dry conditions. The SPEI\u2013dengue fever incidence association was examined over a 6-month lag, and the modification roles of 5 city development dimensions were assessed. Data were analyzed in May 2022.<\/jats:p>\n <\/jats:sec>\n \n Exposures<\/jats:title>\n City-level monthly temperature, precipitation, SPEI, and annual city development indicators from 2013 to 2019.<\/jats:p>\n <\/jats:sec>\n \n Main Outcomes and Measures<\/jats:title>\n The primary outcome was city-level monthly dengue fever incidence. Spatiotemporal bayesian hierarchal models were used to examine the SPEI\u2013dengue fever incidence association over a 6-month lag period. An interaction term between SPEI and each city development indicator was added into the model to assess the modification role of city development.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Included in the analysis were 70 006 dengue fever cases reported in 54 cities in 4 provinces in China from 2013 to 2019. Overall, a U-shaped cumulative curve was observed, with wet and dry conditions both associated with increased dengue fever risk. The relative risk [RR] peaked at a 1-month lag for extreme wet conditions (1.27; 95% credible interval [CrI], 1.05-1.53) and at a 6-month lag for extreme dry conditions (1.63; 95% CrI, 1.29-2.05). The RRs of extreme wet and dry conditions were greater in areas with limited economic development, health care resources, and income per capita. Extreme dry conditions were higher and prolonged in areas with more green space per capita (RR, 1.84; 95% CrI, 1.37-2.46). Highly urbanized areas had a higher risk of dengue fever after extreme wet conditions (RR, 1.80; 95% CrI, 1.26-2.56), while less urbanized areas had the highest risk of dengue fever in extreme dry conditions (RR, 1.70; 95% CrI, 1.11-2.60).<\/jats:p>\n <\/jats:sec>\n \n Conclusions and Relevance<\/jats:title>\n Results of this study showed that extreme hydrological conditions were associated with increased dengue fever incidence within a 6-month lag period, with different dimensions of city development playing various modification roles in this association. These findings may help in developing climate change adaptation strategies and public health interventions against dengue fever.<\/jats:p>\n <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.49440","type":"journal-article","created":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T11:01:25Z","timestamp":1672830085000},"page":"e2249440","source":"Crossref","is-referenced-by-count":21,"title":["Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019"],"prefix":"10.1001","volume":"6","author":[{"given":"Chuanxi","family":"Li","sequence":"first","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhendong","family":"Wang","sequence":"additional","affiliation":[{"name":"Dezhou Center for Disease Control and Prevention, Dezhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinan","family":"Qu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangyu","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yijie","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cordia","family":"Chu","sequence":"additional","affiliation":[{"name":"Centre for Environment and Population Health, School of Medicine, Griffith University, Nathan, Queensland, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alistair","family":"Woodward","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tamara","family":"Schikowski","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, D\u00fcsseldorf, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulo Hil\u00e1rio Nascimento","family":"Saldiva","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiyong","family":"Liu","sequence":"additional","affiliation":[{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"},{"name":"State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China"},{"name":"Department of Vector Control, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"},{"name":"Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, D\u00fcsseldorf, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China"},{"name":"Shandong University Climate Change and Health Center, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"issue":"36","key":"zoi221403r3","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000021982","article-title":"Epidemiological characteristics of dengue in mainland China from 1990 to 2019: a descriptive analysis.","volume":"99","author":"Lin","year":"2020","journal-title":"Medicine (Baltimore)"},{"issue":"1","key":"zoi221403r4","doi-asserted-by":"publisher","first-page":"2344","DOI":"10.1038\/s41598-018-19168-6","article-title":"Spatial and temporal characteristics of 2014 dengue outbreak in Guangdong, China.","volume":"8","author":"Sanna","year":"2018","journal-title":"Sci Rep"},{"issue":"9","key":"zoi221403r5","doi-asserted-by":"publisher","first-page":"3624","DOI":"10.1073\/pnas.1806094116","article-title":"Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue.","volume":"116","author":"Li","year":"2019","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"2","key":"zoi221403r6","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1002\/2016EF000485","article-title":"Global projections of river flood risk in a warmer world.","volume":"5","author":"Alfieri","year":"2017","journal-title":"Earths Futur"},{"issue":"12","key":"zoi221403r7","doi-asserted-by":"publisher","first-page":"e932","DOI":"10.1016\/S2468-2667(21)00209-7","article-title":"The 2021 China report of the Lancet countdown on health and climate change: seizing the window of opportunity.","volume":"6","author":"Cai","year":"2021","journal-title":"Lancet Public Health"},{"key":"zoi221403r8","doi-asserted-by":"publisher","DOI":"10.1016\/j.envres.2021.110900","article-title":"Extreme weather conditions and dengue outbreak in Guangdong, China: spatial heterogeneity based on climate variability.","volume":"196","author":"Cheng","year":"2021","journal-title":"Environ Res"},{"issue":"9","key":"zoi221403r9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0009776","article-title":"The association between tropical cyclones and dengue fever in the Pearl River Delta, China during 2013-2018: a time-stratified case-crossover study.","volume":"15","author":"Li","year":"2021","journal-title":"PLoS Negl Trop Dis"},{"key":"zoi221403r10","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.actatropica.2019.02.019","article-title":"Role of container type, behavioural, and ecological factors in Aedes pupal production in Dhaka, Bangladesh: an application of zero-inflated negative binomial model.","volume":"193","author":"Islam","year":"2019","journal-title":"Acta Trop"},{"issue":"12","key":"zoi221403r11","doi-asserted-by":"publisher","first-page":"3891","DOI":"10.1007\/s10530-021-02619-z","article-title":"Simulating an invasion: unsealed water storage (rainwater tanks) and urban block design facilitate the spread of the dengue fever mosquito, Aedes aegypti, in Brisbane, Australia.","volume":"23","author":"Trewin","year":"2021","journal-title":"Biol Invasions"},{"issue":"4","key":"zoi221403r12","doi-asserted-by":"publisher","first-page":"e209","DOI":"10.1016\/S2542-5196(20)30292-8","article-title":"Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study.","volume":"5","author":"Lowe","year":"2021","journal-title":"Lancet Planet Health"},{"issue":"5","key":"zoi221403r13","first-page":"942","article-title":"The effect of extrinsic incubation temperature on development of dengue serotype 2 and 4 viruses in Aedes aegypti (L.).","volume":"40","author":"Rohani","year":"2009","journal-title":"Southeast Asian J Trop Med Public Health"},{"issue":"7","key":"zoi221403r14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0010059","article-title":"First comprehensive analysis of Aedes aegypti bionomics during an arbovirus outbreak in west Africa: dengue in Ouagadougou, Burkina Faso, 2016-2017.","volume":"16","author":"Badolo","year":"2022","journal-title":"PLoS Negl Trop Dis"},{"key":"zoi221403r15","doi-asserted-by":"publisher","DOI":"10.1016\/j.onehlt.2021.100358","article-title":"Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.","volume":"13","author":"Rahman","year":"2021","journal-title":"One Health"},{"issue":"24","key":"zoi221403r16","doi-asserted-by":"publisher","first-page":"13220","DOI":"10.3390\/ijerph182413220","article-title":"Explaining neighbourhood variations in the incidence of dengue fever in Jeddah City, Saudi Arabia.","volume":"18","author":"Alkhaldy","year":"2021","journal-title":"Int J Environ Res Public Health"},{"key":"zoi221403r17","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.138200","article-title":"Effects of natural and socioeconomic factors on dengue transmission in two cities of China from 2006 to 2017.","volume":"724","author":"Chen","year":"2020","journal-title":"Sci Total Environ"},{"issue":"1","key":"zoi221403r18","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3390\/healthcare10010163","article-title":"Solving patient allocation problem during an epidemic dengue fever outbreak by mathematical modelling.","volume":"10","author":"Tsai","year":"2022","journal-title":"Healthcare (Basel)"},{"issue":"1","key":"zoi221403r19","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1038\/s41467-022-28231-w","article-title":"Fine-scale heterogeneity in population density predicts wave dynamics in dengue epidemics.","volume":"13","author":"Romeo-Aznar","year":"2022","journal-title":"Nat Commun"},{"issue":"9","key":"zoi221403r20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0010715","article-title":"The current and future distribution of the yellow fever mosquito (Aedes aegypti) on Madeira Island.","volume":"16","author":"Santos","year":"2022","journal-title":"PLoS Negl Trop Dis"},{"issue":"16","key":"zoi221403r21","doi-asserted-by":"publisher","first-page":"9780","DOI":"10.3390\/ijerph19169780","article-title":"Housing security and settlement intentions of migrants in urban China.","volume":"19","author":"Wang","year":"2022","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"zoi221403r22","first-page":"23","article-title":"Research on the Chinese urbanization process in the past 40 years from the reform and opening-up.","author":"Ren","year":"2019","journal-title":"Ningxia Social Sciences"},{"issue":"4","key":"zoi221403r26","first-page":"1102","article-title":"A gridded daily observation dataset over China region and comparison with the other datasets.","volume":"56","author":"Wu","year":"2013","journal-title":"Chin J Geophys"},{"issue":"11","key":"zoi221403r27","doi-asserted-by":"publisher","first-page":"5805","DOI":"10.5194\/hess-21-5805-2017","article-title":"Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China.","volume":"21","author":"Yang","year":"2017","journal-title":"Hydrol Earth Syst Sci"},{"issue":"18","key":"zoi221403r28","doi-asserted-by":"publisher","first-page":"6110","DOI":"10.3390\/s21186110","article-title":"Precipitation changes in the Three Gorges Reservoir Area and the relationship with water level change.","volume":"21","author":"Li","year":"2021","journal-title":"Sensors (Basel)"},{"issue":"pt 2","key":"zoi221403r30","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2022.156018","article-title":"Preseason drought controls on patterns of spring phenology in grasslands of the Mongolian Plateau.","volume":"838","author":"Rihan","year":"2022","journal-title":"Sci Total Environ"},{"issue":"8","key":"zoi221403r31","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1007\/s11430-017-9198-2","article-title":"Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI.","volume":"61","author":"Wang","year":"2018","journal-title":"Sci China Earth Sci"},{"issue":"7","key":"zoi221403r32","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002613","article-title":"Nonlinear and delayed impacts of climate on dengue risk in Barbados: a modelling study.","volume":"15","author":"Lowe","year":"2018","journal-title":"PLoS Med"},{"issue":"19","key":"zoi221403r35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v063.i19","article-title":"Bayesian spatial modelling with R-INLA.","volume":"63","author":"Lindgren","year":"2015","journal-title":"J Stat Softw"},{"issue":"2","key":"zoi221403r36","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1111\/rssb.2009.71.issue-2","article-title":"Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations.","volume":"71","author":"Rue","year":"2009","journal-title":"J R Stat Soc B"},{"issue":"1","key":"zoi221403r37","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1186\/s12889-022-13890-7","article-title":"Long-term air pollution levels modify the relationships between short-term exposure to meteorological factors, air pollution and the incidence of hand, foot and mouth disease in children: a DLNM-based multicity time series study in Sichuan Province, China.","volume":"22","author":"Luo","year":"2022","journal-title":"BMC Public Health"},{"key":"zoi221403r38","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.137921","article-title":"The modification effect of the diurnal temperature range on the exposure-response relationship between temperature and pediatric hand, foot and mouth disease.","volume":"722","author":"Hu","year":"2020","journal-title":"Sci Total Environ"},{"issue":"8","key":"zoi221403r39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v043.i08","article-title":"Distributed lag linear and non-linear models in R: the package dlnm.","volume":"43","author":"Gasparrini","year":"2011","journal-title":"J Stat Softw"},{"issue":"3","key":"zoi221403r40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0092538","article-title":"Recent weather extremes and impacts on agricultural production and vector-borne disease outbreak patterns.","volume":"9","author":"Anyamba","year":"2014","journal-title":"PLoS One"},{"issue":"7","key":"zoi221403r41","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1007\/s00484-021-02085-1","article-title":"Extreme weather events and dengue outbreaks in Guangzhou, China: a time-series quasi-binomial distributed lag non-linear model.","volume":"65","author":"Cheng","year":"2021","journal-title":"Int J Biometeorol"},{"issue":"11","key":"zoi221403r42","doi-asserted-by":"publisher","first-page":"10637","DOI":"10.1007\/s13762-021-03905-y","article-title":"Impact of environmental factors on the spread of dengue fever in Sri Lanka.","volume":"19","author":"Faruk","year":"2022","journal-title":"Int J Environ Sci Technol (Tehran)"},{"issue":"8","key":"zoi221403r43","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0001795","article-title":"Combining hydrology and mosquito population models to identify the drivers of Rift Valley fever emergence in semi-arid regions of West Africa.","volume":"6","author":"Soti","year":"2012","journal-title":"PLoS Negl Trop Dis"},{"issue":"10","key":"zoi221403r44","doi-asserted-by":"publisher","DOI":"10.1002\/ecs2.1515","article-title":"Comparison of two detailed models of Aedes aegypti population dynamics.","volume":"7","author":"Legros","year":"2016","journal-title":"Ecosphere"},{"issue":"1","key":"zoi221403r45","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1603\/ME13096","article-title":"Use of the CDC autocidal gravid ovitrap to control and prevent outbreaks of Aedes aegypti (Diptera: Culicidae).","volume":"51","author":"Barrera","year":"2014","journal-title":"J Med Entomol"},{"issue":"6","key":"zoi221403r46","doi-asserted-by":"publisher","first-page":"1269","DOI":"10.4269\/ajtmh.14-0426","article-title":"Sustained, area-wide control of Aedes aegypti using CDC autocidal gravid ovitraps.","volume":"91","author":"Barrera","year":"2014","journal-title":"Am J Trop Med Hyg"},{"issue":"5","key":"zoi221403r47","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1179\/2047773213Y.0000000100","article-title":"The role of environmental variables on Aedes albopictus biology and chikungunya epidemiology.","volume":"107","author":"Waldock","year":"2013","journal-title":"Pathog Glob Health"},{"issue":"11","key":"zoi221403r48","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0078263","article-title":"Dengue vector dynamics (Aedes aegypti) influenced by climate and social factors in Ecuador: implications for targeted control.","volume":"8","author":"Stewart Ibarra","year":"2013","journal-title":"PLoS One"},{"issue":"8","key":"zoi221403r49","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1089\/vbz.2009.0098","article-title":"Effects of temperature and rainfall on the activity and dynamics of host-seeking Aedes albopictus females in northern Italy.","volume":"10","author":"Roiz","year":"2010","journal-title":"Vector Borne Zoonotic Dis"},{"issue":"5","key":"zoi221403r50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0000429","article-title":"Australia\u2019s dengue risk driven by human adaptation to climate change.","volume":"3","author":"Beebe","year":"2009","journal-title":"PLoS Negl Trop Dis"},{"issue":"12","key":"zoi221403r52","doi-asserted-by":"publisher","first-page":"e566","DOI":"10.1016\/S2542-5196(20)30251-5","article-title":"Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: a time-series study in 1814 Brazilian cities.","volume":"4","author":"Xu","year":"2020","journal-title":"Lancet Planet Health"},{"issue":"1","key":"zoi221403r53","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1186\/s13071-021-04806-2","article-title":"Spatial and temporal population dynamics of male and female Aedes albopictus at a local scale in Medell\u00edn, Colombia.","volume":"14","author":"Camargo","year":"2021","journal-title":"Parasit Vectors"},{"issue":"1","key":"zoi221403r54","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/s10393-010-0288-z","article-title":"Microclimate and human factors in the divergent ecology of Aedes aegypti along the Arizona, U.S.\/Sonora, MX border.","volume":"7","author":"Hayden","year":"2010","journal-title":"Ecohealth"},{"key":"zoi221403r55","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.actatropica.2018.09.011","article-title":"Seasonal and spatial distribution of Aedes aegypti and Aedes albopictus in a municipal urban park in S\u00e3o Paulo, SP, Brazil.","volume":"189","author":"Heinisch","year":"2019","journal-title":"Acta Trop"},{"issue":"6","key":"zoi221403r56","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0004758","article-title":"Spatial and temporal hot spots of Aedes albopictus abundance inside and outside a south European metropolitan area.","volume":"10","author":"Manica","year":"2016","journal-title":"PLoS Negl Trop Dis"},{"key":"zoi221403r57","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.actatropica.2016.10.025","article-title":"Mosquito populations dynamics associated with climate variations.","volume":"166","author":"Wilke","year":"2017","journal-title":"Acta Trop"},{"issue":"5","key":"zoi221403r58","doi-asserted-by":"publisher","first-page":"1698","DOI":"10.3390\/ijerph10051698","article-title":"A rainfall- and temperature-driven abundance model for Aedes albopictus populations.","volume":"10","author":"Tran","year":"2013","journal-title":"Int J Environ Res Public Health"},{"issue":"10","key":"zoi221403r59","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0138082","article-title":"Household wastes as larval habitats of dengue vectors: comparison between urban and rural areas of Kolkata, India.","volume":"10","author":"Banerjee","year":"2015","journal-title":"PLoS One"},{"issue":"3","key":"zoi221403r60","doi-asserted-by":"publisher","first-page":"1075","DOI":"10.1590\/1413-81232018243.10702017","article-title":"Cases of dengue and urban waste collection: a study in the City of Recife.","volume":"24","author":"Sobral","year":"2019","journal-title":"Cien Saude Colet"},{"key":"zoi221403r34","volume-title":"China City Statistical Yearbook","author":"National Bureau of Statistics of the People\u2019s Republic of China"},{"key":"zoi221403r1","unstructured":"World Health Organization. Dengue and severe dengue. Accessed June 24, 2022. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/dengue-and-severe-dengue?"},{"key":"zoi221403r2","unstructured":"World Health Organization. Ten threats to global health in 2019. Accessed June 24, 2022. https:\/\/www.who.int\/news-room\/spotlight\/ten-threats-to-global-health-in-2019?"},{"key":"zoi221403r23","unstructured":"National Health Commission of the People\u2019s Republic of China. Measures for the implementation of the law of the People's Republic of China on the prevention and treatment of infectious diseases. 2018. Accessed June 24, 2022. http:\/\/www.nhc.gov.cn\/fzs\/s3576\/201808\/58d2b24710c14c2f97ae6de5a8059b73.shtml?"},{"key":"zoi221403r24","unstructured":"Ministry of Health of People\u2019s Republic of China. Diagnostic criteria for dengue fever (WS 216-2008). 2008. Accessed June 24, 2022. http:\/\/www.nhc.gov.cn\/wjw\/s9491\/200802\/38819\/files\/2b80ae383d12426eac99cd28b484ae44.pdf?"},{"key":"zoi221403r25","unstructured":"National Health Commission of the People\u2019s Republic of China. Diagnosis for dengue fever (WS 216-2018). 2018. Accessed June 24, 2022. http:\/\/www.nhc.gov.cn\/ewebeditor\/uploadfile\/2018\/03\/20180330095421298.pdf?"},{"key":"zoi221403r29","unstructured":"General Administration of Quality Supervision. Inspection and quarantine of the People's Republic of China: grades of meteorological drought (GB\/T 20481-2017). 2017. Accessed June 24, 2022. http:\/\/www.cma.gov.cn\/zfxxgk\/gknr\/flfgbz\/bz\/202209\/t20220921_5098974.html?"},{"key":"zoi221403r33","unstructured":"State Administration for Market Regulation. Evaluation indicators for quality of city development (GB\/T 40482-2021). 2021. Accessed June 24, 2022. https:\/\/openstd.samr.gov.cn\/bzgk\/gb\/newGbInfo?hcno=AC0B43E597289ACE963662DC5A213720"},{"key":"zoi221403r51","doi-asserted-by":"crossref","unstructured":"Intergovernmental Panel on Climate Change. Climate change 2021: the physical science basis. 2021. Accessed June 24, 2022. https:\/\/www.ipcc.ch\/report\/ar6\/wg1","DOI":"10.1017\/9781009157988"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2800001\/li_2023_oi_221403_1671470056.57753.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T11:01:41Z","timestamp":1672830101000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2800001"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,4]]},"references-count":60,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,3]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.49440","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,4]]}}}