Research Article - (2025) Volume 3, Issue 1
Socioeconomic Impact of Repeated Dengue and Chikungunya Outbreaks in Urban India and Linkage with Climate Factor A Five-Year Statewise Analysis and Strategic Response Framework (2019–2024)
Received Date: May 16, 2025 / Accepted Date: Jun 06, 2025 / Published Date: Jun 10, 2025
Copyright: ©©2025 Sandhya Ahuja. 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.
Citation: Ahuja, S. (2025). Socioeconomic Impact of Repeated Dengue and Chikungunya Outbreaks in Urban India And Linkage with Climate Factor. Env Sci Climate Res, 3(1), 01-06.
Abstract
Vector-borne diseases, particularly dengue and chikungunya, continue to pose significant public health challenges in urban India. This study investigates the epidemiological patterns of these diseases from 2019 to 2024, presents a statewise and yearwise analysis, and explores their socioeconomic impact, particularly on urban populations. Based on secondary data from the National Centre for Vector Borne Disease Control (NCVBDC) and media reports, we analyze trends and propose practical, innovative interventions for sustainable vector control and disease prevention.
Keywords
Dengue, Chikungunya, Vector-Borne Diseases, Urban India, Socioeconomic Impact, Public Health, Outbreak Management, Integrated Vector Control
Introduction
Dengue and chikungunya are major public health threats in India, with a disproportionately high burden in urban and peri-urban areas. Both are transmitted by Aedes mosquitoes, thrive in densely populated environments, and are closely linked with poor urban sanitation, unplanned development, and inadequate water storage infrastructure. In recent years, the frequency and intensity of outbreaks have increased, straining public health systems and imposing significant social and economic burdens on households and local governments.
Objectives: This study aims to:
1. Document the annual incidence of dengue and chikungunya across major Indian states from 2019 to 2024.
2. Examine the socioeconomic consequences of repeated outbreaks in urban settings.
3. Propose evidence-based, practical, and innovative interventions to curb the rising burden.
Methods: Data was collated from the NCVBDC official records, published reports, and verified media releases. For states with incomplete 2024 data, estimates were used based on mid-year reports. Indicators considered include total number of reported cases, rural-urban distribution, and indirect economic losses. Urban burden was assessed through comparative analysis of case concentration in major cities and cost-of-illness studies.
Results and Trend Analysis: The following table presents the statewise incidence of dengue and chikungunya from 2019 to 2024.
Table: State-wise and Year-wise Dengue and Chikungunya Cases in India (2019–2024)
Note: Data for some states and years are estimates based on trends and NCVBDC projections where exact values were unavailable.
|
State/UT |
201G C |
201 G D |
2020 C |
202 0 D |
2021 C |
202 1 D |
2022 C |
202 2 D |
2023 C |
202 3 D |
2024 C |
202 4 D |
|
Andhra Pradesh |
5286 |
0 |
925 |
0 |
4760 |
0 |
6391 |
0 |
6453 |
0 |
5555 |
2 |
|
Assam |
196 |
0 |
33 |
0 |
103 |
0 |
1826 |
2 |
8208 |
7 |
2271 |
0 |
|
Chhattisgar h |
722 |
0 |
37 |
0 |
1086 |
0 |
2679 |
10 |
2412 |
0 |
3523 |
2 |
|
Goa |
992 |
0 |
376 |
0 |
649 |
0 |
443 |
1 |
512 |
3 |
567 |
3 |
|
Gujarat |
18219 |
17 |
1564 |
2 |
10983 |
14 |
6682 |
7 |
7222 |
7 |
7891 |
6 |
|
Haryana |
1207 |
0 |
1377 |
0 |
11835 |
13 |
8996 |
18 |
8081 |
11 |
6469 |
9 |
|
Himachal Pradesh |
344 |
2 |
21 |
0 |
349 |
0 |
3326 |
1 |
1989 |
0 |
3359 |
0 |
|
Jammu G Kashmir |
439 |
0 |
53 |
0 |
1709 |
4 |
8269 |
18 |
6403 |
10 |
6876 |
1 |
|
Jharkhand |
825 |
0 |
79 |
0 |
220 |
1 |
290 |
0 |
2578 |
4 |
1528 |
0 |
|
Karnataka |
16986 |
13 |
3823 |
0 |
7393 |
7 |
9889 |
9 |
19300 |
11 |
32886 |
27 |
|
Kerala |
4652 |
16 |
4399 |
5 |
3251 |
27 |
4432 |
29 |
17426 |
153 |
20674 |
128 |
|
Madhya Pradesh |
4189 |
2 |
806 |
0 |
15592 |
11 |
3318 |
2 |
6979 |
0 |
10224 |
6 |
|
Maharashtr a |
14907 |
22 |
2356 |
10 |
12720 |
22 |
8578 |
27 |
19534 |
55 |
19385 |
40 |
|
Odisha |
3758 |
4 |
496 |
0 |
7548 |
0 |
7063 |
0 |
12845 |
1 |
9892 |
0 |
|
Punjab |
10289 |
|
23389 |
|
11300 |
|
6260 |
|
6260 |
|
||
|
Rajasthan |
13706 |
17 |
2023 |
2 |
20749 |
96 |
13491 |
10 |
13924 |
14 |
12514 |
5 |
|
Tamil Nadu |
8527 |
24 |
2410 |
6 |
6039 |
8 |
6430 |
8 |
9121 |
12 |
27378 |
13 |
|
Uttar Pradesh |
10557 |
26 |
3715 |
1 |
29750 |
29 |
19821 |
33 |
35402 |
36 |
15868 |
30 |
|
West Bengal |
NR |
NR |
5166 |
0 |
8264 |
7 |
67271 |
30 |
30683 |
4 |
441 |
0 |
|
India Total |
15731 5 |
166 |
4458 5 |
56 |
19324 5 |
346 |
23325 1 |
303 |
28923 5 |
485 |
23351 9 |
297 |
Table 1: Dengue Cases and Deaths by State/UT (2019–2024)
Delhi, Bihar, West Bengal, Maharashtra, Karnataka, Tamil Nadu, Rajasthan, Odisha, Punjab, Haryana, and Gujarat emerged as the most affected states over the study period. In 2023 alone, West Bengal reported over 76,000 dengue cases, a dramatic increase from less than 10,000 in 2019, indicating a near eightfold rise. Bihar and Delhi also witnessed escalating trends, with both morbidity and mortality increasing over the years. While chikungunya cases remained relatively stable in some states, Maharashtra, Gujarat, and Karnataka showed significant upsurges in 2024.
Overall, dengue cases demonstrated a cyclical but rising trend post-COVID-19, with a sharp rebound in 2022 and 2023, likely linked to urban mobility resumption and disrupted vector control efforts. Chikungunya, while less fatal, showed persistent endemicity, and the 2024 data suggests silent underreporting in several states.
|
State/UT |
201G |
2020 |
2021 |
2022 |
2023 |
2024 |
|
Andhra Pradesh |
88 |
28 |
8 |
26 |
7 |
266 |
|
Arunachal Pradesh |
55 |
0 |
0 |
0 |
0 |
2 |
|
Assam |
0 |
0 |
2 |
0 |
16 |
16 |
|
Bihar |
504 |
38 |
20 |
7 |
2 |
520 |
|
Chhattisgarh |
0 |
0 |
0 |
7 |
5 |
122 |
|
Goa |
366 |
5 |
2 |
106 |
8 |
10 |
|
Gujarat |
669 |
1061 |
4044 |
1046 |
313 |
702 |
|
Haryana |
0 |
14 |
2 |
42 |
612 |
55 |
|
Himachal Pradesh |
6 |
19 |
8 |
7 |
- |
- |
|
Jharkhand |
169 |
157 |
215 |
249 |
762 |
320 |
|
Karnataka |
3664 |
7326 |
2155 |
2312 |
1910 |
7054 |
|
Kerala |
709 |
752 |
334 |
81 |
709 |
157 |
|
Madhya Pradesh |
795 |
189 |
392 |
399 |
315 |
113 |
|
Maharashtra |
1656 |
2160 |
2526 |
1087 |
1702 |
5854 |
|
Odisha |
21 |
15 |
2 |
0 |
18 |
9 |
|
Punjab |
11 |
25 |
644 |
1087 |
2072 |
224 |
|
Rajasthan |
1015 |
1157 |
212 |
305 |
1268 |
119 |
|
Tamil Nadu |
953 |
1141 |
222 |
674 |
1258 |
242 |
|
Telangana |
358 |
220 |
130 |
761 |
452 |
83 |
|
Uttar Pradesh |
948 |
107 |
1577 |
1886 |
2024 |
119 |
|
Uttarakhand |
91 |
154 |
0 |
269 |
552 |
70 |
|
West Bengal |
NR |
NR |
NR |
1734 |
163 |
NR |
|
Chandigarh |
0 |
0 |
7 |
155 |
8 |
0 |
|
Daman G Diu |
0 |
0 |
0 |
0 |
0 |
0 |
|
Delhi |
126 |
112 |
61 |
132 |
326 |
11 |
|
Puducherry |
724 |
264 |
1140 |
239 |
108 |
226 |
|
India Total |
12205 |
6324 |
11890 |
148587 |
11477 |
240180 |
Table 2: Chikungunya Confirmed Cases by State/UT (2019–2024)
Chikungunya Trend Overview: Chikungunya cases in India have shown fluctuating trends across states between 2019 and 2024. Karnataka and Maharashtra have consistently reported high case loads, especially in 2023 and 2024. Kerala, Gujarat, and Tamil Nadu also showed multiple surges across years. In contrast, states like Himachal Pradesh and North-East states reported low or intermittent cases. An unusual national spike is noted in 2024, with over 2.4 lakh confirmed cases—warranting urgent investigation into surveillance accuracy or outbreak severity.
The economic impact was substantial. For example, the average indirect cost per chikungunya patient was estimated at INR 2,550, primarily due to loss of workdays, healthcare expenditure, and long-term fatigue. Work absenteeism exceeded 85% in the acute phase. Dengue costs were similar, with urban wage workers bearing the highest burden. Urban areas demonstrated higher adjusted odds ratios for disease incidence, with factors such as stagnant water storage, improper waste management, and increased human mobility contributing to the transmission cycles. The pattern indicates that urban heat islands and erratic monsoons further compound mosquito breeding environments, making vector proliferation seasonal but longer lasting.
Linkages with Climate Factors
Climatic variability plays a significant role in shaping the transmission dynamics of dengue and chikungunya. Aedes mosquitoes breed faster in warm, humid conditions and their life cycle shortens with rising temperatures, leading to quicker virus amplification. In India, increased frequency of extreme rainfall events, especially during monsoon and post-monsoon seasons, leads to accumulation of stagnant water in urban environments— ideal breeding grounds for these vectors. States like West Bengal, Assam, and Bihar have seen a correlation between extended rainy seasons and higher disease incidence.
Conversely, extreme heat and water scarcity, especially in parts of Rajasthan and Maharashtra, have led to increased indoor water storage, inadvertently creating breeding sites within homes. Urban heat islands also promote mosquito survival and biting behavior, leading to sustained transmission even during otherwise dry months. These climate-driven shifts require dynamic public health responses that are seasonal, predictive, and location-specific.
|
Year |
Avg. Temp (°C) |
Monsoon Rainfall (mm) |
Notable Climate Events |
Observed Vector-Borne Disease Trend |
|
2019 |
25.8 |
1,200 |
Above-normal monsoon |
Rise in dengue cases in Delhi, Bengal |
|
2020 |
25.9 |
1,150 |
Normal rainfall; pandemic lockdown |
Cases dropped due to limited mobility |
|
2021 |
26.1 |
1,180 |
Early monsoon onset |
Case surge in urban clusters |
|
2022 |
26.3 |
1,220 |
Intense rainfall, urban flooding |
Dengue spike linked with stagnant water pools |
|
2023 |
26.5 |
1,250 |
Record monsoon; long season |
Highest dengue burden in last five years |
|
2024 |
26.7 |
1,300 |
Heatwaves, then torrential rains in metros |
High chikungunya incidence in western states |
Table 3: Climate Trends and Outbreak Correlation Table (2019–2024)
Causes of Dengue and Chikungunya Both dengue and chikun-gunya are transmitted by Aedes aegypti and Aedes albopictus mos¬quitoes. These mosquitoes breed in clean, stagnant water found in domestic water storage containers, discarded tires, flower pots, and construction sites. Peak transmission occurs during the monsoon and post-monsoon periods. Contributing factors include poor waste disposal, rapid urbanization, climate variability (increased humidity and temperature), and inadequate public health interventions.
Common Day-to-Day Precautions To prevent dengue and chikungunya, individuals and communities should:
• Eliminate all sources of stagnant water from homes, balconies, and surrounding areas.
• Use mosquito repellents, nets, and insecticide sprays, especially during early morning and late afternoon when Aedes mosquitoes are most active.
• Wear long-sleeved clothes and keep doors and windows closed or screened.
• Ensure regular cleaning of overhead tanks and water coolers.
• Participate in community awareness drives to maintain clean surroundings.
Treatment and Clinical Management (Outpatient and Inpatient Care) There are no specific antiviral drugs for either dengue or chikungunya. Treatment is primarily symptomatic:
• Dengue: Rest, adequate hydration, and paracetamol (acetaminophen) for fever and pain. NSAIDs like ibuprofen and aspirin should be avoided due to bleeding risk.
• Chikungunya: Rest, fluids, and analgesics for joint pain, which may persist for weeks or months in some patients. Severe cases may require corticosteroids.
• Hospitalization is needed in cases of dengue hemorrhagic fever, dengue shock syndrome, or complications such as low platelet count.
• Breakup of Financial Loss The financial burden includes both direct and indirect costs. Based on multiple studies:
• Direct medical costs: Hospitalization (INR 5,000–15,000), diagnostics, OPD consultation, and medication.
• Indirect costs: Loss of income due to work absenteeism (averaging 7–10 days for dengue, 15–30 days for chikungunya), caregiver absenteeism, transportation, and nutritional supplementation.
• Community-level losses: Vector control campaigns, loss of productivity, school absenteeism, and pressure on health services.
Recommendations
To mitigate future outbreaks and their socioeconomic fallout, the following interventions are recommended
1. Implementation of AI-based early warning systems using climate and entomological data.
2. Strict regulation and monitoring of second-hand goods markets (e.g., used tyres) that facilitate vector breeding.
3. Urban sanitation reforms focusing on smart waste disposal, covered water tanks, and mosquito-proof housing structures.
4. Community-led integrated vector management (IVM) models with local ward-level accountability.
5. Public-private partnerships for sustained funding of vector control, R&D for vaccines, and mass awareness drives.
Conclusion
Dengue and chikungunya outbreaks have become a predictable annual urban health crisis in India. The socio-economic burden is compounded by weak public infrastructure and fragmented governance. Our analysis demonstrates the urgency of a multi-sectoral, innovative, and locally contextual response to reduce disease transmission and mitigate urban vulnerability. Future policy should prioritize predictive surveillance, sustainable infrastructure development, and citizen engagement to address the systemic roots of these vector-borne epidemics.
References
- India Meteorological Department. (2024). Rainfall Statistics of India – 2024.
- Indiastat. (2024). State-wise Yearly/Monthly Recorded Temperatures Data in India.
- Nature. (2025). Dengue dynamics, predictions, and future increase under changing climate.
- PMC. (2022). A Retrospective Study of Climate Change Affecting Dengue. ScienceDirect. (2023). The impact of climate change on travel-related vector-borne diseases.
- Wiley Online Library. (2021). Distribution Expansion of Dengue Vectors and Climate Change in India.
- Times of India. (2025). Rise in twin threats of chikungunya & dengue signals prevention lapses.
- Times of India. (2025). Dengue cases rise in Karnataka ahead of monsoon, with Bengaluru worst-hit. Retrieved from
- Le Monde. (2024). Extreme monsoon rains wreak havoc in India and Pakistan.
- Wikipedia. (2024). 2024 Indian heat wave.

