Vector-borne diseases (VBD) are caused by a group of parasites and viruses which are a permanent threat leading to significant mortality and morbidity across the world (1). The common determinant factors for spread of vector-borne diseases include hot and humid environments, high population density areas, poor socioeconomic status, inappropriate housing types, and poor waste management and water supply systems (2). Malaria, Dengue Fever, and Chikungunya are important VBDs, with a major share to overall disease burden in Pakistan. In 2017, Pakistan experienced the highest number of VBD outbreaks, namely; malaria, dengue fever, and chikungunya. There were approximately 300,000 confirmed cases reported during the year. These preeminent infectious diseases have been threatening the health of six million people in Pakistan (3, 4).
Malaria is considered a life-threatening disease in developing countries. According to the World Health Organization (WHO), in 2011, the number of deaths attributed to malaria was 212 million and in 2015, it was reduced up to 429,000 (5). The vector, Anopheles Gambiae, is a complex mosquito species which is responsible for the transmission of maximum vector-diseases and are found sensitive to climate change. If the temperature of the water increases, the larva matures early leading to more production and increased intensity of infection (7, 8).
Dengue incidents have increased dramatically in the whole world in recent decades and so in Pakistan. Recent estimates showed 390 million dengue infections per year, out of which 96 million are clinical cases (9). Dengue fever is primarily an urban disease, but with very poor water bodies and solid waste management in almost all weak communities, it can spread to any community (10). In Pakistan, the first major outbreak of dengue fever was reported in 1994, and later in November 2005 a major outbreak was reported from Karachi. In 2010 another epidemic of dengue fever resulted in 16,580 cases and 257 deaths in the district of Lahore and a total of 5,000 cases and 60 deaths in the rest of the country (11, 12). Despite large outbreaks in recent decades, little literature is available on its epidemiology and spatial-temporal trends in the thickly populated Punjab province of Pakistan.
The current study aimed to identify reported vector-borne diseases to explore the demographic epidemiology and spatial and temporal distribution of confirmed cases in the Punjab province.
A retrospective record review was conducted at the provincial health office of Punjab where we retrieved data on laboratory confirmed vector-borne diseases. No human subjects were enrolled in this study, therefore, an informed written consent was exempted. However, approval from the Ethical Review Committee of the University of Lahore, Punjab was obtained and a departmental permission was attained from the office of directorate general of health services (DGHS) and center for disease control (CDC) Punjab conferring the confidentiality of the patients and the purpose of the research. The records of one year, i.e. 1 July 2016 to 30 June 2017, were obtained in terms of demographics, time and location of cases. All registered public health laboratories were approached. Reports of non-residents of Punjab and/or incomplete entries from the line list were excluded from analyses. The line lists were collected by researchers themselves and no external teams were hired, nor were any incentives offered to the laboratories. The data was double entered, validated and stored in Microsoft Excel and SPSS version 24.0. The qualitative variables were calculated as numbers and percentages, while quantitative variables were calculated as means and standard deviation.
Malaria and Dengue Fever were the only reported vector-borne diseases in the study period. A total of 2,640 cases of malaria were reported during the study period, with 1,415 (53%) male (male: female, 1:1). The mean age of the patients was 17 ±9 years. It affected almost all the age groups of the community but the highest number was reported among 5-9 years age group (n=709, 27%) followed by 0-4 years (n=479, 18%) (Table 1).
A total 2,520 cases of dengue fever were reported in Punjab during the year with 1,829 (72%) males (male: female, 3:1). The mean age was 32±12 years. It affected the adult age group, where most of the reported cases belonged to 20-24 years age group (n=460, 18.3%) (Table 1).
|Age Groups||Malaria||Dengue Fever|
|Overall attack rate||2.3||2.4|
The highest incidence of malaria was observed during the month of September, followed by August and October, while the lowest frequency was observed during March, followed by April, February and January. Dengue fever showed a peak in October and the lowest incidence of dengue fever was observed in March (Figure 1).
The highest frequency of malaria was found in Muzaffargarh, followed by Bhakkar and DG Khan in south Punjab, while central and north Punjab showed minimum incidences. The highest frequency of reported dengue fever cases was in Rawalpindi, followed by Lahore, showing an endemic situation in these thickly populated cities. South Punjab had no reported case.
The case fatality rate of dengue fever was 63.4/10,000 cases, while no death from malaria was reported in the study period.
Lower age groups are the most affected by Malaria, while Dengue fever has shown a more obvious attack rate among the young working age group (20-29 years) representing the young outdoor working group. Similarly, males are more affected which goes against the concept of the indoor prevalence of the vector. In a male dominant society, men usually engage in outdoor activities. Our results confirm the findings of other researchers where mechanical/tire shops, graveyards and other outdoor water bodies determine the spread of diseases and hence the working age group of males seem more affected (13 - 15). Peak season has been observed as other researchers have mentioned it in their studies. Here comes the most talked about integrated disease surveillance concept that needs to be practiced. Therefore, an incredible need to expand the mindfulness about the blended contaminations is identified, whereas administration and clinicians need to work together toward ramifications of outdoor activities in peak seasons of the said disease. For the sake of these outcomes, an integrated vector management, disease surveillance, as well as contact tracing is vital, as suggested by many other researcher (11, 15, 16).
In a study by Yang et al., it was found that the ratio of temperature, rainfall, rice cultivation and rural labor was positively linked to malaria incidents (6).
Dengue fever is caused by Aedes egyptii. The vector has been found prevalent in northern Punjab, suggesting a reformed spread to relatively cold weathers in this geography since a high incidence is shown in cold moths of October. Previously, in Pakistan, dengue caused a severe outbreak in 2011 in Lahore, central Punjab. After 2011, many dengue cases are reported every year in rainy, summer and winter seasons too as described by some researchers (17, 18). It is worth mentioning that the weather record for the month of October 2016 showed a mean temperature of 27˚C, humidity 59%, and pressure 1,010 mbar. Hence, high humidity seems an indicator for dengue fever. Our results endorse the findings that Rawalpindi and Lahore are seen with the highest frequency of dengue fever patients, rendering their business activities and thick population with large numbers of in-house gardens, farmhouses, canals and waste drains which may serve to be an agent for Aedes growth (19 - 21). Here it is to point out that Malaria, a disease of tropical countries, has shown to still be a hot season trend where the highest temperature and humidity recorded was 38˚C and 100% respectively, and weather conditions were supportive of anopheles growth (22, 23).
Our study has certain limitations; we collected data for one year and we recommend that three to five years worth of data should be collected and analyzed to clear the trends over years. Patients’ demographics, risk factors and clinical characteristics were not available with the health department and laboratories’ data repository. Therefore, an inference cannot be made about the diseases presentations and severity, which will hamper a data driven policy making and implementation.
Temporal characteristics of dengue and malaria are indicative of a need for more robust public health interventions in comparatively cold topographies, with a special focus on outdoor activities and young working male populations. There is an ominous need to map hotspots within large metropolitan cities like Rawalpindi for prevention at grass roots level where political leadership and integrated vector management approaches should remain the major key.
Conflict of Interest
Authors declare none.
1. Organization WH. Vector-borne diseases. WHO Regional Office for South-East Asia; 2014.
2. Messina JP, Brady OJ, Golding N, Kraemer MU, Wint GW, Ray SE, et al. The current and future global distribution and population at risk of dengue. Nature microbiology. 2019:1.
3. Asad B, Hassan MH, Nazir H, Khalid S, Bibi S, Afzal K, et al. Erupt of malaria, dengue and chikungunya in Pakistan: Recent insights about prevalence, diagnosis and treatment. Pakistan Journal of Pharmaceutical Sciences. 2019;32(4).
4. Salam N, Mustafa S, Hafiz A, Chaudhary AA, Deeba F, Parveen S. Global prevalence and distribution of coinfection of malaria, dengue and chikungunya: a systematic review. BMC public health. 2018;18(1):710.
5. Adepoju KA, Akpan GE. Historical Assessment of Malaria Hazard and Mortality in Nigeria—Cases and Deaths: 1955–2015. Int J Environ Bioener. 2017;12(1):30-46.
6. Yang D, Xu C, Wang J, Zhao Y. Spatiotemporal epidemic characteristics and risk factor analysis of malaria in Yunnan Province, China. BMC public health. 2017;17(1):66.
7. Rueda L, Patel K, Axtell R, Stinner R. Temperature-dependent development and survival rates of Culex quinquefasciatus and Aedes aegypti (Diptera: Culicidae). Journal of medical entomology. 1990;27(5):892-8.
8. Ewing DA, Cobbold CA, Purse B, Nunn M, White SM. Modelling the effect of temperature on the seasonal population dynamics of temperate mosquitoes. Journal of theoretical biology. 2016;400:65-79.
9. Ebi KL, Nealon J. Dengue in a changing climate. Environmental research. 2016;151:115-23.
10. Bowman LR, Donegan S, McCall PJ. Is dengue vector control deficient in effectiveness or evidence?: Systematic review and meta-analysis. PLoS neglected tropical diseases. 2016;10(3):e0004551.
11. Rasheed S, Butlin R, Boots M. A review of dengue as an emerging disease in Pakistan. Public health. 2013;127(1):11-7.
12. Khan EA. Dengue fever: A major public health problem of our time. Rawal Medical Journal. 2016;41(2):139-41.
13. Beltrán-Silva S, Chacón-Hernández S, Moreno-Palacios E, Pereyra-Molina J. Clinical and differential diagnosis: Dengue, chikungunya and Zika. Revista Médica del Hospital General de México. 2018;81(3):146-53.
14. Gubler DJ. Resurgent vector-borne diseases as a global health problem. Emerging infectious diseases. 1998;4(3):442.
15. Organization WH. Keeping the vector out: housing improvements for vector control and sustainable development. 2017.
16. Parvathy S, Geetha P, Soman K. Novel Regression-GIS based Approach for the Analysis of Spread of Dengue in Palakkad. Indian Journal of Science and Technology. 2015;8(24).
17. Kraemer MU, Bisanzio D, Reiner R, Zakar R, Hawkins JB, Freifeld CC, et al. Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Science. 2018;7(1):16.
18. Ahmad S, Asif M, Talib R, Adeel M, Yasir M, Chaudary MH. Surveillance of intensity level and geographical spreading of dengue outbreak among males and females in Punjab, Pakistan: A case study of 2011. Journal of infection and public health. 2018;11(4):472-85.
19. Badshah N, Shah H, Javid M. Estimation of Basic Reproduction Number for Dengue Fever in Lahore, Pakistan. Sains Malaysiana. 2015;44(10):1423-30.
20. Fatima SH, Atif S, Rasheed SB, Zaidi F, Hussain E. Species Distribution Modelling of Aedes aegypti in two dengue‐endemic regions of Pakistan. Tropical Medicine & International Health. 2016;21(3):427-36.
21. Guzman MG, Harris E. Dengue. The Lancet. 2015;385(9966):453-65.
22. Ghanchi N, Shakoor S, Thaver A, Khan M, Janjua A, Beg M. Current situation and challenges in implementing malaria control strategies in Pakistan. Critical reviews in microbiology. 2016;42(4):588-93.
23. Umer MF, Zofeen S, Majeed A, Hu W, Qi X, Zhuang G. Effects of Socio-Environmental Factors on Malaria Infection in Pakistan: A Bayesian Spatial Analysis. International journal of environmental research and public health. 2019;16(8):1365.