1921
Volume 98, Issue 1
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

Despite the improvement in health conditions across the world, communicable diseases remain among the leading mortality causes in many countries. Combating communicable diseases depends on surveillance, preventive measures, outbreak investigation, and the establishment of control mechanisms. Delays in obtaining country-level data of confirmed communicable disease cases, such as dengue fever, are prompting new efforts for short- to medium-term data. News articles highlight dengue infections, and they can reveal how public health messages, expert findings, and uncertainties are communicated to the public. In this article, we analyze dengue news articles in Asian countries, with a focus in India, for each month in 2014. We investigate how the reports cluster together, and uncover how dengue cases, public health messages, and research findings are communicated in the press. Our main contributions are to 1) uncover underlying topics from news articles that discuss dengue in Asian countries in 2014; 2) construct topic evolution graphs through the year; and 3) analyze the life cycle of dengue news articles in India, then relate them to rainfall, monthly reported dengue cases, and the Breteau Index. We show that the five main topics discussed in the newspapers in Asia in 2014 correspond to 1) prevention; 2) reported dengue cases; 3) politics; 4) prevention relative to other diseases; and 5) emergency plans. We identify that rainfall has 0.92 correlation with the reported dengue cases extracted from news articles. Based on our findings, we conclude that the proposed method facilitates the effective discovery of evolutionary dengue themes and patterns.

[open-access] This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Loading

Article metrics loading...

/content/journals/10.4269/ajtmh.17-0253
2018-01-10
2018-07-20
Loading full text...

Full text loading...

/deliver/fulltext/14761645/98/1/tpmd170253.html?itemId=/content/journals/10.4269/ajtmh.17-0253&mimeType=html&fmt=ahah

References

  1. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Abraham J, Adair T, Aggarwal R, Ahn SY, , 2013. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet 380: 20952128.
  2. World Health Organization, 2006. Setting Priorities in Communicable Disease Surveillance. Available at: http://www.who.int/en/. Accessed October 10, 2017.
  3. Baker MG, Fidler DP, , 2006. Global public health surveillance under new international health regulations. Emerg Infect Dis 12: 10581065.
  4. Langmuir AD, , 1963. The surveillance of communicable diseases of national importance. N Engl J Med 268: 182192.
  5. Calain P, , 2007. Exploring the international arena of global public health surveillance. Health Policy Plan 22: 212.
  6. Beaglehole R, Bonita R, , 2001. Challenges public health in the global context-prevention and surveillance. Scand J Public Health 29: 8183.
  7. World Health Organization Regional Office for the Western Pacific, , 2004. Practical Guidelines for Infection Control in Health Care Facilities. Manila: WHO Regional Office for the Western Pacific, 52.
  8. Farrington CP, Andrews NJ, Beale AD, Catchpole MA, , 1996. A statistical algorithm for the early detection of outbreaks of infectious disease. J R Stat Soc Ser A Stat Soc 159: 547563.
  9. Brownstein JS, Freifeld CC, Reis BY, Mandl KD, , 2008. Surveillance sans frontieres: internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med 5: e151.
  10. Liu Y, , 2004. China’s public health-care system: facing the challenges. Bull World Health Organ 82: 532538.
  11. Thacker SB, Qualters JR, Lee LM, Centers for Disease Control and Prevention, , 2012. Public health surveillance in the United States: evolution and challenges. MMWR Suppl 61: 39.
  12. Davies SE, , 2012. The challenge to know and control: disease outbreak surveillance and alerts in China and India. Glob Public Health 7: 695716.
  13. Konowitz PM, Petrossian GA, Rose DN, , 1984. The underreporting of disease and physicians’ knowledge of reporting requirements. Public Health Rep 99: 3135.
  14. McKenzie JF, Pinger RR, , 2013. An Introduction to Community Health Brief Edition. United States of America: Jones & Bartlett Publishers, 4345.
  15. Beatty ME, Stone A, Fitzsimons DW, Hanna JN, Lam SK, Vong S, Guzman MG, Mendez-Galvan JF, Halstead SB, Letson GW, , 2010. Best practices in dengue surveillance: a report from the Asia-Pacific and Americas dengue prevention boards. PLoS Negl Trop Dis 4: e890.
  16. Suaya JA, Shepard DS, Beatty ME, , 2007. Dengue: Burden of Disease and Costs of Illness. Scientific Working Group: Report on Dengue (Vol. TDR/SWG/08). Geneva, Switzerland: WHO.
  17. Shepard DS, Halasa YA, Tyagi BK, Adhish SV, Nandan D, Karthiga KS, Chellaswamy V, Gaba M, Arora NK, INCLEN Study Group, , 2014. Economic and disease burden of dengue illness in India. Am J Trop Med Hyg 91: 12351242.
  18. Woodall J, , 1997. Official versus unofficial outbreak reporting through the internet. Int J Med Inform 47: 3134.
  19. Downs A, , 1996. Up and Down with Ecology: The “Issue-Attention Cycle”. The Politics of American Economic Policy Making.
  20. World Health Organization, Special Programme for Research, Training in Tropical Diseases, World Health Organization Department of Control of Neglected Tropical Diseases, World Health Organization Epidemic, Pandemic Alert, , , 2009. Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control. Geneva, Switzerland: World Health Organization.
  21. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, Drake JM, Brownstein JS, Hoen AG, Sankoh O, , 2013. The global distribution and burden of dengue. Nature 496: 504507.
  22. Moreira LA, Iturbe-Ormaetxe I, Jeffery JA, Lu G, Pyke AT, Hedges LM, Rocha BC, Hall-Mendelin S, Day A, Riegler M, , 2009. A wolbachia symbiont in Aedes aegypti limits infection with dengue, chikungunya, and Plasmodium. Cell 139: 12681278.
  23. Reyes M, Mercado JC, Standish K, Matute JC, Ortega O, Moraga B, Avils W, Henn MR, Balmaseda A, Kuan G, , 2010. Index cluster study of dengue virus infection in Nicaragua. Am J Trop Med Hyg 83: 683689.
  24. Montoya M, Gresh L, Mercado JC, Williams KL, Vargas MJ, Gutierrez G, Kuan G, Gordon A, Balmaseda A, Harris E, , 2013. Symptomatic versus inapparent outcome in repeat dengue virus infections is influenced by the time interval between infections and study year. PLoS Negl Trop Dis 7: e2357.
  25. Olkowski S, Forshey BM, Morrison AC, Rocha C, Vilcarromero S, Halsey ES, Kochel TJ, Scott TW, Stoddard ST, , 2013. Reduced risk of disease during post-secondary dengue virus infections. J Infect Dis 208: jit273.
  26. Tissera H, Amarasinghe A, De Silva AD, Kariyawasam P, Corbett KS, Katzelnick L, Tam C, Letson GW, Margolis HS, De Silva AM, , 2014. Burden of dengue infection and disease in a pediatric cohort in urban Sri Lanka. Am J Trop Med Hyg 91: 132137.
  27. Shepard DS, Undurraga EA, Halasa YA, , 2013. Economic and disease burden of dengue in southeast Asia. PLoS Negl Trop Dis 7: e2055.
  28. Heymann DL, Rodier GR, , 1998. Global surveillance of communicable diseases. Emerg Infect Dis 4: 362.
  29. Freifeld CC, Mandl KD, Reis BY, Brownstein JS, , 2008. HealthMap: global infectious disease monitoring through automated classification and visualization of internet media reports. J Am Med Inform Assoc 15: 150157.
  30. Collier N, Doan S, Kawazoe A, Goodwin RM, Conway M, Tateno Y, Ngo Q, Dien D, Kawtrakul A, Takeuchi K, , 2008. BioCaster: detecting public health rumors with a web-based text mining system. Bioinformatics 24: 29402941.
  31. Mykhalovskiy E, Weir L, , 2006. The global public health intelligence network and early warning outbreak detection: a Canadian contribution to global public health. Can J Public Health 97: 4244.
  32. Rortais A, Belyaeva J, Gemo M, Van der Goot E, Linge JP, , 2010. MedISys: an early-warning system for the detection of (re-) emerging food-and feed-borne hazards. Food Res Int 43: 15531556.
  33. Tolentino H, Kamadjeu R, Matters M, Pollack M, Madoff L, , 2007. Scanning the emerging infectious diseases horizon-visualizing ProMED emails using EpiSPIDER. Advances in Disease Surveillance 2: 169.
  34. Madoff LC, Woodall JP, , 2005. The internet and the global monitoring of emerging diseases: lessons from the first 10 years of ProMED-mail. Arch Med Res 36: 724730.
  35. Ahmad T, Rehman NA, Pervaiz F, Kalyanaraman S, Safeer MB, Chakraborty S, Saif U, Subramanian L, , 2013. Characterizing Dengue Spread and Severity Using Internet Media Sources. Symposium on Computing for Development 3. 18.
  36. Hotho A, Nrnberger A, Paa G, , 2005. A brief survey of text mining. GLDV Journal for Computational Linguistics and Language Technology 20: 1962.
  37. Khan A, Baharudin B, Lee LH, Khan K, , 2010. A review of machine learning algorithms for text-documents classification. J Adv Inf Technol 1: 420.
  38. Jain AK, Murty MN, Flynn PJ, , 1999. Data clustering: a review. ACM Comput Surv 31: 264323 (CSUR).
  39. Feldman R, Sanger J, , 2007. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. United States of America: Cambridge University Press, 291.
  40. Larsen B, Aone C, , 1999. Fast and Effective Text Mining Using Linear-Time Document Clustering. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 5. 1622.
  41. Kodinariya TM, Makwana PR, , 2013. Review on determining number of cluster in K-means clustering. Int J 1: 9095.
  42. Stevens K, Kegelmeyer P, Andrzejewski D, Buttler D, , 2012. Exploring Topic Coherence Over Many Models and Many Topics. Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 5. 952961.
  43. Blei DM, Ng AY, Jordan MI, , 2003. Latent Dirichlet allocation. J Mach Learn Res 3: 9931022.
  44. Sanchez L, Vanlerberghe V, Alfonzo L, Marquetti Md C, Guzman MG, Bisset J, Van Der Stuyft P, , 2006. Aedes aegypti larval indices and risk for dengue epidemics. Emerg Infect Dis 12: 800806.
  45. Vikram K, Nagpal BN, Pande V, Srivastava A, Gupta SK, Anushrita VP, Singh H, Saxena R, Tuli NR, Yadav NK, , 2015. Comparison of Ae. aegypti breeding in localities of different socio-economic groups of Delhi, India. International Journal of Mosquito Research 18: 20.
  46. Reiter P, , 2001. Climate change and mosquito-borne disease. Environ Health Perspect 109: 141.
  47. Hii YL, Rocklv J, Ng N, Tang CS, Pang FY, Sauerborn R, , 2009. Climate variability and increase in intensity and magnitude of dengue incidence in Singapore. Glob Health Action 11: 2.
  48. Barrera R, Amador M, MacKay AJ, , 2011. Population dynamics of Aedes aegypti and dengue as influenced by weather and human behavior in San Juan, Puerto Rico. PLoS Negl Trop Dis 5: e1378.
  49. Gunasekaran P, Kaveri K, Mohana S, Arunagiri K, Babu BS, Priya PP, Kiruba R, Kumar VS, Sheriff AK, , 2011. Dengue disease status in Chennai (2006–2008): a retrospective analysis. Indian J Med Res 133: 322.
  50. Singh J, Dinkar A, Atam V, Himanshu D, Gupta KK, Usman K, Misra R, , 2017. Awareness and outcome of changing trends in clinical profile of dengue fever: a retrospective analysis of dengue epidemic from January to December 2014 at a tertiary care hospital. J Assoc Physicians India 65: 42.
  51. Deshkar ST, Raut SS, Khadse RK, , 2017. Dengue infection in central India: a 5 years study at a tertiary care hospital. International Journal of Research in Medical Sciences 5: 24832489.
  52. Poddar S, Sengupta P, Chandra G, Hati AK, , 2016. Effects of the weather on dengue infections in Kolkata, India. J Mosquito Res 6: 15.
  53. Oza JR, Patel UV, Gajera KD, , 2016. Clinico-epidemiological profile of dengue fever cases admitte at tertiary care hospital, Rajkot, Gujarat, India. Int J Com Med Pub Hlth 3: 26672671.
  54. National Health Mission, 2017. Puducherry State Health Mission.Available at: http://www.nhmpuducherry.org.in/. Accessed October 10, 2017.
http://instance.metastore.ingenta.com/content/journals/10.4269/ajtmh.17-0253
Loading
/content/journals/10.4269/ajtmh.17-0253
Loading

Data & Media loading...

  • Received : 28 Mar 2017
  • Accepted : 10 Sep 2017

Most Cited This Month

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error