Bilal Hasan ( 5th Year Medical Students, Aga Khan University )
Manesh Kumar Gangwani ( 5th Year Medical Students, Aga Khan University )
Fariha Hasan ( 3rd Year Medical Student, Dow University of Health Sciences, Karachi. )
April 2018, Volume 68, Issue 4
Student's Corner
Abstract
Madam, dengue is a mosquito-borne tropical pandemic infecting up to 390 million people annually, of which 96 million people manifest the disease.1 Dengue virus is now endemic in Pakistan, with official reports documenting a skyrocketing 22,652 cases of dengue in 2011 with 363 deaths.2 One must question what appropriate preventative and curative measure should be taken against this menace.

Table highlights the different approaches that should be used to battle the spectrum of the disease across all fronts. Furthermore, to neutralize this deadly threat, developing an early warning system predicting dengue outbreaks in relation with climatic changes may represent a new approach. Many studies have established that a relationship exists between dengue transmission and climatic variability.3 One such study shows that dengue is prevalent in summer months in the tropical belt which have a warm climate suitable for dengue spread.3 The same review concludes that the transmission of dengue is highly sensitive to climatic conditions, especially temperature, rainfall and relative humidity. Increasing surface air temperatures due to global warming have led to the rise of mean temperature over the coastal belt of Pakistan, including Karachi and a decrease in precipitation in coastal belts over time. Pakistan is described as the 12th most vulnerable country to climatic changes which will impact the transmission of vector-borne diseases.4 Unfortunately, few Geographical Information System (GIS) studies have been conducted in Pakistan. Qureshi EM et al. recently conducted a study to predict dengue outbreaks via dengue vector indices and climatic variables.5 However, this study was limited to Lahore (a major city in Pakistan). Studies spanning the entire country and systematic reviews are needed to efficiently model tools for dengue risk mapping. One research in Guangzhou, China demonstrated how an efficient, low cost model can be built for dengue surveillance using a Time series Poisson model.6 It also co-related climatic variation with dengue outbreaks. Hence, we in Pakistan can take a leaf out of the book of our Chinese neighbors. Pakistan and China share the same genetic footprint as well as similar Asian climate. Guangzhou is close to the same tropical belt of Asia as Karachi. Consequently, a study based on the Chinese model may be conducted and similar results may be expected. It cannot be overemphasized that positive outcomes in dengue depend almost entirely on early diagnosis and action. Where traditional preventative practices have failed, a model based on climatic associations may prove to be successful. Developing this early warning system may prove to be a step in the right direction towards solving the dengue jigsaw in Pakistan.
Disclaimer: None to declare.
Conflict of Interest: None to declare.
Funding Disclosure: None to declare.
References
1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature. 2013;496:504-7.
2. Rasheed SB, Butlin RK, Boots M. A review of dengue as an emerging disease in Pakistan. Public health. 2013;127:11-7.
3. Bostan N, Javed S, Nabgha EA, Eqani SA, Tahir F, Bokhari H. Dengue fever virus in Pakistan: effects of seasonal pattern and temperature change on distribution of vector and virus. Rev med virol. 2017;27.doi 10.1002/rmv
4. Change IC. Working Group II: Impacts, Adaptation and Vulnerability[online] 2007 [cited 2017 October]. Available from: http://www.ipcc.ch/ipccreports/tar/wg2/index.php?idp=127.
5. Ahmad Qureshi EM, Tabinda AB, Vehra S. Predicting dengue outbreak in the metropolitan city Lahore, Pakistan, using dengue vector indices and selected climatological variables as predictors. JPak Med Assoc. 2017;67:416-21.
6. Sang S, Gu S, Bi P, Yang W, Yang Z, Xu L, et al. Predicting unprecedented dengue outbreak using imported cases and climatic factors in Guangzhou, 2014. PLoS negltrop dis. 2015;9:e0003808.
7. World Health Organization: GLOBAL STRATEGY FOR DENGUE PREVENTION AND CONTROL 2012-2020 [online] 2012 [cited 2017 October]. Available from: http://www.who.int/denguecontrol/ resources/9789241504034/en/.
8. Schwartz LM, Halloran ME, Durbin AP, Longini IM, Jr. The dengue vaccine pipeline: Implications for the future of dengue control. Vaccine. 2015;33:3293-8.
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