Correlation between notifiable infectious diseases and transportation passenger traffic from 2013 to 2019 in mainland China.
Correlation
Infectious diseases
Passenger traffic
Public health
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
31 Oct 2024
31 Oct 2024
Historique:
received:
15
08
2024
accepted:
21
10
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
epublish
Résumé
Population mobility significantly contributes to the spread and prevalence of infectious diseases, posing a serious threat to public health safety and sustainable development across the globe. Understanding the impact of population mobility on the prevention and control of infectious diseases holds profound significance. In this study, we collected the data on the incidence of notifiable infectious diseases in mainland China from 2013 to 2019, and analyzed the characteristics of notifiable infectious diseases, as well as their correlation with transportation passenger traffic. Among 29 common notifiable infectious diseases, the incidence rate of intestinal diseases per 100,000 people was the highest (256.35 cases), while the mortality rate was the lowest (0.017 cases). The mortality rate per 100,000 people due to sexually transmitted and bloodborne diseases was the highest (1.154 cases). A significant linear correlation was noted between commercial passenger traffic and the number of cases of tuberculosis (r = 0.83, P = 0.022), hepatitis A (r = 0.87, P = 0.012), bacillary and amebic dysentery (r = 0.90, P = 0.006), typhoid/paratyphoid (r = 0.94, P = 0.002), leptospirosis (r = 0.90, P = 0.005), AIDS(r=-0.90, P = 0.006), gonorrhea (r=-0.79, P = 0.035) and scarlet fever (r=-0.85, P = 0.016). A significant linear correlation was noted between public transportation passenger traffic and the number of cases of measles (r = 0.94, P = 0.002), hepatitis A (r = 0.96, P = 0.001), parasitic and vector-borne diseases (r = 0.96, P = 0.001), brucellosis (r = 0.95, P = 0.001), leptospirosis (r = 0.88, P = 0.008), other infectious diarrhea (r = 0.86, P = 0.013) and gonorrhea (r = 0.84, P = 0.018). The results of this study indicated that transportation passenger traffic significantly affected the incidence of infectious diseases, and reasonable management of passenger traffic was a potentially important means of prevention and control of infectious diseases.
Identifiants
pubmed: 39482638
doi: 10.1186/s12889-024-20479-9
pii: 10.1186/s12889-024-20479-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3023Subventions
Organisme : research fund project of Anhui Institute of Translational Medicine
ID : 2022zhyx-C61
Informations de copyright
© 2024. The Author(s).
Références
Chinazzi M, Davis JT, Ajelli M, et al. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science. 2020;368(6489):395–400. https://doi.org/10.1126/science.aba9757 .
doi: 10.1126/science.aba9757
pubmed: 32144116
pmcid: 7164386
Tuite AR, Thomas-Bachli A, Acosta H, et al. Infectious disease implications of large-scale migration of Venezuelan nationals. J Travel Med. 2018;25(1):tay077. https://doi.org/10.1093/jtm/tay077 .
doi: 10.1093/jtm/tay077
pubmed: 30192972
pmcid: 6142906
Hu H, Nigmatulina K, Eckhoff P. The scaling of contact rates with population density for the infectious disease models. Math Biosci. 2013;244(2):125–34. https://doi.org/10.1016/j.mbs.2013.04.013 .
doi: 10.1016/j.mbs.2013.04.013
pubmed: 23665296
Thomas MM, Mohammadi N, Taylor JE. Investigating the association between mass transit adoption and COVID-19 infections in US metropolitan areas. Sci Total Environ. 2022;811:152284. https://doi.org/10.1016/j.scitotenv.2021.152284 .
doi: 10.1016/j.scitotenv.2021.152284
pubmed: 34902421
Wang L, Xu C, Wang J, et al. Spatiotemporal heterogeneity and its determinants of COVID-19 transmission in typical labor export provinces of China. BMC Infect Dis. 2021;21(1):242. https://doi.org/10.1186/s12879-021-05926-x .
doi: 10.1186/s12879-021-05926-x
pubmed: 33673819
pmcid: 7935008
Yao Y, Tian Y, Zhou J, et al. Impact of Population emigration from Wuhan and Medical Support on COVID-19 infection in China. J Epidemiol Glob Health. 2021;11(2):178–85. https://doi.org/10.2991/jegh.k.201121.001 .
doi: 10.2991/jegh.k.201121.001
pubmed: 33605121
pmcid: 8242124
Chen H, Chen Y, Lian Z, et al. Correlation between the migration scale index and the number of new confirmed coronavirus disease 2019 cases in China. Epidemiol Infect. 2020;148:e99. https://doi.org/10.1017/S0950268820001119 .
doi: 10.1017/S0950268820001119
pubmed: 32423504
Yang H, Chen D, Jiang Q, et al. High intensities of population movement were associated with high incidence of COVID-19 during the pandemic. Epidemiol Infect. 2020;148:e177. https://doi.org/10.1017/S0950268820001703 .
doi: 10.1017/S0950268820001703
pubmed: 32741410
Vinceti M, Balboni E, Rothman KJ, et al. Substantial impact of mobility restrictions on reducing COVID-19 incidence in Italy in 2020. J Travel Med. 2022;29(6):taac081. https://doi.org/10.1093/jtm/taac081 .
doi: 10.1093/jtm/taac081
pubmed: 35876268
pmcid: 9384467
National Health Commission of the People’s Republic of China. Notice concerning strict prevention of transmission of COVID-19 by means of transport. http://www.gov.cn/xinwen/2020-01/25/content_5472106.htm (Accessed 20 Feb 2024).
González MC, Hidalgo CA, Barabási AL. Understanding individual human mobility patterns. Nature. 2008;453(7196):779–82. https://doi.org/10.1038/nature06958 .
doi: 10.1038/nature06958
pubmed: 18528393
Lai S, Farnham A, Ruktanonchai NW, Tatem AJ. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine. J Travel Med. 2019;26(3):taz019. https://doi.org/10.1093/jtm/taz019 .
doi: 10.1093/jtm/taz019
pubmed: 30869148
pmcid: 6904325
World Health Organization (WHO). Global Tuberculosis Report. 2018. https://www.who.int/tb/publications/global_report/en/ . Accessed Feb 2024.
Chen C, Talifu Z, Wu Y, et al. Changing patterns of mortality in viral Hepatitis - China, 1987–2021. China CDC Wkly. 2023;5(42):933–7. https://doi.org/10.46234/ccdcw2023.175 .
doi: 10.46234/ccdcw2023.175
pubmed: 38026100
pmcid: 10646165
Findlater A, Bogoch II. Human mobility and the global spread of infectious diseases: a focus on Air Travel. Trends Parasitol. 2018;34(9):772–83. https://doi.org/10.1016/j.pt.2018.07.004 .
doi: 10.1016/j.pt.2018.07.004
pubmed: 30049602
pmcid: 7106444
Mangili A, Vindenes T, Gendreau M. Infectious risks of Air Travel. Microbiol Spectr. 2015;3(5):10. https://doi.org/10.1128/microbiolspec.IOL5-0009-2015 .
doi: 10.1128/microbiolspec.IOL5-0009-2015
Shaban RZ, Sotomayor-Castillo CF, Malik J, et al. Global commercial passenger airlines and travel health information regarding infection control and the prevention of infectious disease: what’s in a website? Travel Med Infect Dis. 2020;33:101528. https://doi.org/10.1016/j.tmaid.2019.101528 .
doi: 10.1016/j.tmaid.2019.101528
pubmed: 31760126
Sotomayor-Castillo C, Radford K, Li C, Nahidi S, et al. Air travel in a COVID-19 world: commercial airline passengers’ health concerns and attitudes towards infection prevention and disease control measures. Infect Dis Health. 2021;26(2):110–7. https://doi.org/10.1016/j.idh.2020.11.002 .
doi: 10.1016/j.idh.2020.11.002
pubmed: 33303405
Mouchtouri VA, Christoforidou EP, An der Heiden M, et al. Exit and Entry Screening practices for Infectious diseases among Travelers at points of entry: looking for evidence on Public Health Impact. Int J Environ Res Public Health. 2019;16(23):4638. https://doi.org/10.3390/ijerph16234638 .
doi: 10.3390/ijerph16234638
pubmed: 31766548
pmcid: 6926871
Bielecki M, Patel D, Hinkelbein J, et al. Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: a narrative review. Travel Med Infect Dis. 2021;39:101915. https://doi.org/10.1016/j.tmaid.2020.101915 .
doi: 10.1016/j.tmaid.2020.101915
pubmed: 33186687
Kiang MV, Chin ET, Huynh BQ, et al. Routine asymptomatic testing strategies for airline travel during the COVID-19 pandemic: a simulation study. Lancet Infect Dis. 2021;21(7):929–38. https://doi.org/10.1016/S1473-3099(21)00134-1 .
doi: 10.1016/S1473-3099(21)00134-1
pubmed: 33765417
pmcid: 7984872
Bitar D, Goubar A, Desenclos JC. International travels and fever screening during epidemics: a literature review on the effectiveness and potential use of non-contact infrared thermometers. Euro Surveill. 2009;14(6):19115.
doi: 10.2807/ese.14.06.19115-en
pubmed: 19215720
Dong Z, Yao HY, Yu SC, et al. Changes in notified incidence of pulmonary tuberculosis in China, 2005–2020. Biomed Environ Sci. 2023;36(2):117–26. https://doi.org/10.3967/bes2023.015 .
doi: 10.3967/bes2023.015
pubmed: 36861190
Mahmoud M, Tan Y. New advances in the treatments of drug-resistant tuberculosis. Expert Rev Anti Infect Ther. 2023;21(8):863–70. https://doi.org/10.1080/14787210.2023.2240022 .
doi: 10.1080/14787210.2023.2240022
pubmed: 37477234
Zhu Y, Lin S, Dong S, et al. Incidence and trends of 17 notifiable bacterial infectious diseases in China, 2004–2019. BMC Infect Dis. 2023;23(1):273. https://doi.org/10.1186/s12879-023-08194-z .
doi: 10.1186/s12879-023-08194-z
pubmed: 37131164
pmcid: 10152418
Jiang Y, Dou X, Yan C, et al. Epidemiological characteristics and trends of notifiable infectious diseases in China from 1986 to 2016. J Glob Health. 2020;10(2):020803. https://doi.org/10.7189/jogh.10.020803 .
doi: 10.7189/jogh.10.020803
pubmed: 33214900
pmcid: 7649044
Lee KK, Lai CC, Chao CM, et al. Increase in sexually transmitted infection during the COVID-19 pandemic in Taiwan. J Eur Acad Dermatol Venereol. 2021;35(3):e171–2. https://doi.org/10.1111/jdv.17005 .
doi: 10.1111/jdv.17005
pubmed: 33078481
Tanne JH. Covid-19: US sees increase in sexually transmitted diseases and teen drug overdose deaths. BMJ. 2022;377:o991. https://doi.org/10.1136/bmj.o991 .
doi: 10.1136/bmj.o991
pubmed: 35440470
Chen S, Zhang X, Zhou Y, et al. COVID-19 protective measures prevent the spread of respiratory and intestinal infectious diseases but not sexually transmitted and bloodborne diseases. J Infect. 2021;83(1):e37–9. https://doi.org/10.1016/j.jinf.2021.04.018 .
doi: 10.1016/j.jinf.2021.04.018
pubmed: 33895225
pmcid: 8061184
Su-Russell C, Sanner C. Chinese childbearing decision-making in mainland China in the post-one-child-policy era. Fam Process. 2023;62(1):302–18. https://doi.org/10.1111/famp.12772 .
doi: 10.1111/famp.12772
pubmed: 35411944
Probert WS, Glenn-Finer R, Espinosa A, et al. Molecular Epidemiology of Measles in California, United States-2019. J Infect Dis. 2021;224(6):1015–23. https://doi.org/10.1093/infdis/jiab059 .
doi: 10.1093/infdis/jiab059
pubmed: 33528506
Schwalb A, Kayumba K, Houben RMGJ, et al. Recent travel and tuberculosis in migrants: data from a low incidence country. Clin Infect Dis. 2023;6:ciad672. https://doi.org/10.1093/cid/ciad672 .
doi: 10.1093/cid/ciad672
Walter KS, Tatara MB, Esther da Silva K, et al. Local and Travel-Associated Transmission of Tuberculosis at Central Western Border of Brazil, 2014–2017. Emerg Infect Dis. 2021;27(3):905–14. https://doi.org/10.3201/eid2703.203839 .
doi: 10.3201/eid2703.203839
pubmed: 33622493
pmcid: 7920644
Liu C, Chen H, Zhang A, et al. The effects of short video app-guided loving-kindness meditation on college students’ mindfulness, self-compassion, positive psychological capital, and suicide ideation. Psicol Reflex Crit. 2023;36(1):32. https://doi.org/10.1186/s41155-023-00276-w .
doi: 10.1186/s41155-023-00276-w
pubmed: 37902928
pmcid: 10616025
Chen H, Liu C, Hsu SE, et al. The effects of Animation on the guessability of Universal Healthcare symbols for Middle-aged and older adults. Hum Factors. 2023;65(8):1740–58. https://doi.org/10.1177/00187208211060900 .
doi: 10.1177/00187208211060900
pubmed: 34969321
Flanagan P, O’Donnell J, Mereckiene J, et al. Tuberculosis contact investigations associated with air travel in Ireland, September 2011 to November 2014. Euro Surveill. 2016;21(40):30358. https://doi.org/10.2807/1560-7917.ES.2016.21.40.30358 .
doi: 10.2807/1560-7917.ES.2016.21.40.30358
pubmed: 27748251
pmcid: 5071608
Chiou WK, Liu C, Chen H, et al. Reliability and Validity Assessment of the Chinese Version of Flow Ergonomics. Cross-cultural Design. Interact Des Cultures. 2022;13311:330–41. https://doi.org/10.1007/978-3-031-06038-0_24 .
doi: 10.1007/978-3-031-06038-0_24
Liu C, Chen H, Liang YC et al. ISDT Case Study of Loving Kindness Meditation for Flight Attendants. Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development. 2021;12772:201–216. https://doi.org/10.1007/978-3-030-77077-8_16
Ndeh NT, Tesfaldet YT, Budnard J, et al. The secondary outcome of public health measures amidst the COVID-19 pandemic in the spread of other respiratory infectious diseases in Thailand. Travel Med Infect Dis. 2022;48:102348. https://doi.org/10.1016/j.tmaid.2022.102348 .
doi: 10.1016/j.tmaid.2022.102348
pubmed: 35523394
pmcid: 9065650
Wang L, Guo X, Zhao N, et al. Effects of the enhanced public health intervention during the COVID-19 epidemic on respiratory and gastrointestinal infectious diseases in China. J Med Virol. 2022;94(5):2201–11. https://doi.org/10.1002/jmv.27619 .
doi: 10.1002/jmv.27619
pubmed: 35067944
pmcid: 9015532
Bai BK, Jiang QY, Hou J. The COVID-19 epidemic and other notifiable infectious diseases in China. Microbes Infect. 2022;24(1):104881. https://doi.org/10.1016/j.micinf.2021.104881 .
doi: 10.1016/j.micinf.2021.104881
pubmed: 34419605
Liu C, Chen H, Liu CY, et al. The effect of loving-kindness meditation on Flight attendants’ spirituality, mindfulness and subjective well-being. Healthcare(Basel). 2020;8(2):174. https://doi.org/10.3390/healthcare8020174 .
doi: 10.3390/healthcare8020174
pubmed: 32560125
Chiou WK, Hsu SE, Liang YC et al. ISDT Case Study of We’ll App for Postpartum Depression Women. Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development. 2021; 12772: 119–137. https://doi.org/10.1007/978-3-030-77077-8_10