Dengue Fever Resurgence in Iran: An Integrative Review of Causative Factors and Control Strategies
Abstract
1. Introduction
2. Materials and Methods
3. Results
3.1. Dengue Fever in Iran
3.2. Key Factors Contributing to the Prevalence of Dengue in World and Their Implications for Iran
3.2.1. Climate Factors
Temperature
Rainfall
Humidity
| Author/Year | Country | Climatic Factors Analyzed | Reference |
|---|---|---|---|
| Bi et al. (2001) | Australia | Monthly mean maximum and minimum temperatures, total amounts of precipitation and relative humidity | [76] |
| Bin-Tang et al. (2003) | China | Average air temperature, lowest air temperature, highest air temperature, sunlight, rainfall and relative humidity | [77] |
| Thammapalo et al. (2005) | Thailand | Rainfall, Temperature and relative humidity, | [78] |
| Bangs et al. (2006) | Indonesia | Monthly mean rainfall and temperature | [79] |
| Wu et al. (2007) | Taiwan | Monthly temperature changes, relative humidity | [80] |
| Arcari et al. (2007) | Indonesia | Temperature and rainfall | [81] |
| Su et al. (2008) | Philippines | Rainfall | [82] |
| Brunkard et al. (2008) | Mexico | Temperature, precipitation, sea surface temperature | [83] |
| Hii et al. (2009) | Singapore | Average temperature, rainfall | [84] |
| Lu et al. (2009) | china | Minimum temperature, minimum humidity, wind speed | [85] |
| Tipayamongkholgul et al. (2009) | Thailand | El Nino phenomenon | [86] |
| Chen et al. (2010) | Taiwan | Minimum temperature, precipitation, relative humidity | [87] |
| Pinto et al. (2011) | Singapore | Minimum and maximum temperature | [88] |
| Gharbi et al. (2011) | Guadeloupe | Relative humidity, average temperature, minimum temperature | [50] |
| Chowell et al. (2011) | Peru | Average temperature | [89] |
| Descloux et al. (2012) | Australia | Temperature, relative humidity, rainfall | [45] |
| Tosepu et al. (2018) | Indonesia | Temperature, rainfall and humidity | [90] |
| Chang et al. (2018) | Taiwan | Temperature, precipitation and relative humidity | [91] |
| José et al. (2019) | Brazil | Rainfall and air temperature | [92] |
| Stolerman et al. (2019) | Brazil | Average rainfall and temperature | [93] |
| Ye and Moreno-Madriñán (2020) | Columbia | rainfall | [94] |
| Akter et al. (2020) | Australia | Minimum temperature, maximum temperature and precipitation | [95] |
| Tran et al. (2020) | Taiwan | temperature | [96] |
| Shabbir et al. (2020) | Pakistan | Minimum temperature, maximum temperature and average rainfall | [97] |
| Islam et al. (2021) | Bangladesh | Temperature, precipitation and relative humidity | [98] |
| Susilawaty et al. (2021) | Indonesia | Temperature, humidity, rainfall and wind speed | [99] |
| Edussuriya et al. (2021) | Sri Lanka | Average rainfall, humidity, wind speed and temperature | [100] |
| Polwiang (2021) | Thailand | Rainfall and humidity | [72] |
| Wang et al. (2022) | Singapore, Malaysia, Sri Lanka, Thailand | Temperature and rainfall | [101] |
| Singh et al. (2022) | Malaysia | Temperature, wind speed and rainfall | [101] |
| Hamidun et al. (2022) | Malaysia | Temperature, relative humidity and rainfall | [102] |
| Pinontoan et al. (2022) | Indonesia | Temperature, rainfall and humidity | [103] |
| Abdulsalam et al. (2022) | Thailand | Temperature, relative humidity, precipitation, wind speed, evaporation, cloud cover and sea level pressure | [104] |
| Abdullah et al. (2022) | Malaysia | Temperature, Humidity, Rainfall | [105] |
| Hossain et al. (2023) | Bangladesh | Mean of maximum and minimum temperature, wind speed, sunshine hour, and rainfall | [106] |
| Mia et al. (2024) | Bangladesh | Temperature, Humidity, Precipitation, Air Pressure | [107] |
| Ouédraogo et al. (2025) | West Africa | Mean relative humidity, minimum and maximum temperature, rainfall and wind speed | [108] |
3.2.2. Environmental Factors
Vegetation
| Author/Year | Country | Findings | Relationship Type | Reference |
|---|---|---|---|---|
| Higa et al. (2010) | Vietnam | Reported that urbanization and loss of vegetation were linked to increased dengue cases, indicating a positive correlation between reduced green spaces and disease transmission. | Positive | [117] |
| Sarfaraz et al. (2012) | Thailand | Identified significant positive correlations between dengue indices and various land-use types, including deciduous forests and horticultural land. | Positive | [118] |
| Cheong et al. (2014) | Malaysia | Highlighted the influence of land use, including water bodies and agricultural practices, on dengue cases, indicating complex interactions with vegetation. | Nonlinear | [119] |
| Pereira da Silva et al. (2022) | Brazil (Cerrado) | Reported a significant relationship between the loss of native vegetation and increased dengue cases, suggesting that deforestation may enhance disease risk. | Positive | [120] |
| Tewari et al. (2023) | Singapore | Found a strong negative association between forest cover and dengue incidence, suggesting that higher vegetation cover may provide a protective barrier against mosquito populations. | Negative | [121] |
Deforestation
| Author | Country | Purpose of the Study | Findings | Reference |
|---|---|---|---|---|
| Patz et al. (2000) | America | Investigating the effects of environmental changes on emerging parasitic diseases | Deforestation and land use change disrupt the natural ecosystem and increase the risk of dengue transmission in the human population. | [128] |
| Vora (2008) | America | Investigating the impact of human environmental changes on vector-borne diseases | Deforestation can change the entire ecosystem of an area. This, in turn, can affect the transmission of vector-borne diseases such as dengue fever by changing the vegetation cover. | [129] |
| Troyo et al. (2009) | Costa Rica | Investigating the urban and ecological structure and incidence of dengue fever in the city of Puntarenas in Costa Rica | Areas with little vegetation increase the incidence of dengue fever. | [130] |
| Araujo et al. (2015) | Brazil | Investigating the relationship between heat characteristics and the incidence of dengue fever in Sao Paulo, Brazil during a two-year period (2010–2011) and identifying related factors | In areas with little vegetation, the air temperature was higher than in areas with denser vegetation, and the incidence rate of dengue fever was also higher. | [111] |
| Husnina et al. (2019) | Indonesia | Description of dengue fever in Sumatra and Kalimantan islands and its relationship with forest cover | The results showed that the risk of dengue fever decreased by 9% with a 1% increase in forest cover. | [131] |
| Kalbus et al. (2019) | Costa Rica | Investigating the relationship between the incidence of dengue fever and other environmental factors such as deforestation and forest cover in Costa Rica | Changes in environmental factors such as deforestation can increase the distribution of dengue fever. | [132] |
| Kalbus et al. (2021) | Brazil | Investigating the potential causes of the emergence of dengue fever in the Brazilian Amazon with a focus on deforestation | Deforestation facilitates the emergence of dengue. However, no significant dose–response relationship was found between dengue incidence and deforestation in the Brazilian state of Amazonas in this study. | [133] |
| Karuppusamy et al. (2021) | India | Assessing the impact of climate change and deforestation on vector-borne diseases and observing their relationship with the epidemiology of dengue fever and malaria | Increasing rainfall, humidity and deforestation can be important factors for the spread of two diseases, malaria and dengue fever. | [134] |
| Cunha et al. (2021) | Brazil | Investigating the relationship between dengue incidence and vegetation in Brazil during the 2010 dengue epidemic | The results of the study show the potential of vegetation management in reducing the incidence of dengue fever, especially in socially and economically vulnerable areas. | [135] |
| Da Silva et al. (2023) | Conducting a spatial analysis of the conditioning factors for the increase in the incidence rate of dengue cases in municipalities located in the Amazon biome, in the period from 2016 to 202 | The results revealed that the incidence rates of dengue cases are associated with deforestation. | [136] | |
| Piaggio et al. (2024) | Estimating the marginal effects of increasing forest cover on dengue prevalence in Costa Rica using econometric models to relate hospital admission records to forest cover maps from 2001 and 2011. | The findings of the study indicate that an increase in forest cover is significantly associated with a reduction in both dengue-related hospital admissions and the likelihood of outbreaks. The analysis predicts that if forest cover had increased by three percent over a decade (approximately 0.29% annually), around 29 annual hospital admissions for dengue could have been averted (around 1.4% of cases in the country, depending on the year). | [137] | |
| Nawaz and Charles (2025) | Investigation of the effects of deforestation, agricultural expansion, and urbanization on mosquito populations and the dynamics of disease transmission such as dengue fever and Zika virus | The study demonstrated that deforestation alters local ecosystems by disrupting predator-prey relationships, increasing sun exposure, and creating stagnant water bodies that serve as mosquito breeding sites, thereby facilitating conditions conducive to the expansion of dengue fever. | [138] |
3.2.3. Expansion of Urbanization
3.2.4. Global Travel and Trade
3.2.5. Awareness and Health Facilities
3.2.6. Socioeconomic Factors
3.3. Key Factors Contributing to the Prevalence of Dengue in Iran
3.3.1. Targeted Control Recommendations for Dengue Fever in Iran
- Enhance Community Engagement and Public Awareness: Given the unique socio-cultural context influencing perceptions around dengue, culturally sensitive health education campaigns should be designed and implemented to address local beliefs and behaviors through educational -strategies such as Communication for Behavioral Impact (COMBI). Partnering with community leaders and using media tailored to diverse populations can increase awareness to translate education into action.
- Implement Urban Planning Interventions to Manage Mosquito Breeding Sites: Urbanization-induced habitat expansion demands incorporation of vector habitat reduction into urban infrastructure development and waste management policies. Installing proper drainage, regulating water storage, and improving sanitation in rapidly expanding urban, peri-urban and slam areas can reduce suitable Aedes breeding sites significantly.
- Adopt and Scale-Up Integrated Vector Management (IVM): Current vector control shortcomings necessitate a comprehensive IVM approach combining chemical, biological, and environmental methods with community participation. This integrated framework could include the use of biological larvicides, and sustainable environmental practices, alongside careful management of insecticide resistance, to ensure more effective and sustainable vector suppression. Moreover, while Aedes mosquitoes primarily bite during the day, the use of insecticide-treated nets (ITNs) could help protect hospitalized dengue patients in healthcare settings and vulnerable groups who exhibit daytime resting behaviors.
- Strengthen Public Health Infrastructure and Multi-Sectoral Coordination: Iran’s public health infrastructure needs strategic upgrades including enhanced laboratory capacity, data management systems, retraining personnel, and revising national policies to address this new threat. In addition, stronger inter-sectoral coordination among health, environment, agriculture, urban development, and education sectors is essential to create a resilient and adaptive dengue control framework.
- Enhance Healthcare Professionals’ Training and Capacity: Regular training programs to improve healthcare workers’ knowledge, diagnostic skills, and management of dengue cases are needed to enhance clinical outcomes and outbreak response efficiency. Strengthening guidelines and providing resources will support standardized care and effective education of patients and communities.
- Strengthen Cross-Border Surveillance and International Collaboration: Given Iran’s proximity to dengue-endemic countries and increasing international travel, enhancing cross-border cooperation through data-sharing platforms and joint vector surveillance efforts is critical. Screening protocols at ports of entry and coordination with neighboring public health authorities can reduce viral importation and contain local transmission.
- Combat Misconceptions and Build Trust in Health Authorities: Active community engagement strategies, transparency in communications, and involvement of trusted local figures are essential to overcome misconceptions and foster community participation in dengue prevention and control. Establishing feedback mechanisms can improve responsiveness and trust, thereby enhancing compliance with control measures.
- Predictive modeling and climate monitoring systems must be integrated into public health planning to anticipate shifts in Aedes mosquito distribution and seasonality due to progressive warming. Early warning systems based on climatic data can inform timely vector control responses and resource allocation in at-risk regions previously unaffected by dengue.
- Prioritize Dengue in the Context of Competing Disease Burdens: Policy makers should ensure dengue fever receives adequate attention and funding within Iran’s public health agenda despite existing burdens from other communicable and non-communicable diseases. Cross-program synergies and integrated disease surveillance systems can optimize resource utilization and response capabilities.
- Improve Blood Safety and Donor Screening Practices: Robust screening protocols for blood donations must be implemented and regularly audited to prevent transfusion-transmitted dengue, particularly in endemic or outbreak settings. Investment in sensitive diagnostic assays and staff training are essential components of safe blood supply management.
- Expand Dengue Vaccination Access and Research: Addressing vaccine availability barriers through national immunization program integration and advocacy for equitable access to newly developed safe, tetravalent dengue vaccines is critical when and where advisable. Simultaneously, promoting surveillance to monitor vaccination outcomes and vaccine effectiveness will guide optimal immunization strategies.
3.3.2. Current Policies for Dengue Surveillance and Control in Iran
4. Discussion
- -
- Improving early warning systems based on climate data to predict and prepare for potential outbreaks
- -
- Promoting climate-resilient urban planning and infrastructure to minimize the creation of mosquito breeding habitats
- -
- Promoting sustainable land use practices and limiting deforestation
- -
- Improving urban planning and waste management to minimize mosquito breeding sites
- -
- Enhancing disease surveillance and outbreak response capabilities
- -
- Implementing travel-related interventions, such as screening and quarantine measures, to limit the importation of dengue cases
- -
- Improving access to healthcare services and strengthening public health infrastructure
- -
- Promoting intra- and inter-sectoral collaborations to address the factors affecting the spread of dengue and its vectors
- -
- Promoting and enforcing international treaties to tackle the vulnerabilities conducive to dengue spread
- -
- Advocacy both nationally and internationally through responsible relevant agencies to mitigate and manage the impact of factors causing the spread of dengue
- -
- Conducting educational campaigns to raise awareness about dengue among healthcare workers and the general population
- -
- Providing training and resources to healthcare facilities for the diagnosis and management of dengue cases
- -
- Engaging communities in vector control activities and promoting preventive measures, such as eliminating standing water and maintaining a clean environment, and using personal protective measures.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Sample Search Strategy (PubMed)
References
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| Year | Month | Total Cases | Local Cases | Imported Cases | City | Travel History | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chabahar | Bandar Lengeh | United Arab Emirates | Pakistan | Afghanistan | Oman | Turkey | Benin | |||||
| 2024 | April | - | - | - | - | - | - | - | - | - | - | - |
| May | - | - | - | - | - | - | - | - | - | - | - | |
| June | 111(111) ** | 5(5) | 106(106) | - | 5(5) | 103(103) | 1(1) | - | 1(1) | 0 | 1(1) | |
| July | 151(40) | 12(7) | 139(33) | 1(1) | 11(6) | 130(27) | 7(6) | - | 1(0) | 0 | 1(0) | |
| August | 161(10) | 21(9) | 140(1) | 10(9) | 11(0) | 131(1) | 7(6) | - | 1(0) | 0 | 1(0) | |
| September | 189(28) | 44(23) | - | 33(23) | 11(0) | - | - | - | - | - | - | |
| October | 221(32) | 71(27) | - | 60(27) | 11(0) | - | - | - | - | - | - | |
| November | 303(82) | 141(70) | - | 130(70) | 11(0) | - | - | - | - | - | - | |
| December | 875(572) | 677(536) | - | 666(536) | 11(0) | - | - | - | - | - | - | |
| January | 1076(201) | 865(188) | - | 852(186) | 13(2) | - | - | - | - | - | - | |
| February | 1106(30) | 891(26) | - | 878(26) | 13(0) | - | - | - | - | - | - | |
| March | 1127(20) | 922(32) | 205(65) | 897(19) | 25(12) | 132(1) | 69(62) | 1 | 1(0) | 1(1) | 1(0) | |
| 2025 | April | 6(6) | 6(6) | - | 6(6) | - | - | - | - | - | - | - |
| May | 37(31) | 37(31) | - | 37(31) | - | - | - | - | - | - | - | |
| June | 188(151) | 187(150) | 1(1) | 187(150) | - | - | 1(1) | - | - | - | - | |
| July | 278(90) | 271(84) * | 7(6) | 271(84) | - | - | 7(6) | - | - | - | - | |
| Americas | Africa | Eastern Mediterranean | South-East Asia | Western Pacific | ||
|---|---|---|---|---|---|---|
| 2024 | Colombia | Guatemala | Burkina Faso | Afghanistan | India | French Polynesia |
| Costa Rica | Guyana | Cape Verde | Iran | |||
| Cuba | Honduras | Central African Republic | Pakistan | |||
| Ecuador | Mexico | Ethiopia | ||||
| El Salvador | Panama | Ghana | ||||
| Dominican Republic | Saint Lucia | Mali | ||||
| Grenada | Trinidad and Tobago | Sudan | ||||
| Togo | ||||||
| 2025 | Colombia | Comoros | - | Bangladesh | Cook Islands | |
| Ecuador | Mali | Fiji | ||||
| Guatemala | Sudan | French Polynesia | ||||
| Panama | Kiribati | |||||
| Philippines | ||||||
| Samoa | ||||||
| Tonga | ||||||
| Tuvalu | ||||||
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Share and Cite
Nikookar, S.H.; Hoseini, S.; Dehghan, O.; Fazelidinan, M.; Enayati, A. Dengue Fever Resurgence in Iran: An Integrative Review of Causative Factors and Control Strategies. Trop. Med. Infect. Dis. 2025, 10, 309. https://doi.org/10.3390/tropicalmed10110309
Nikookar SH, Hoseini S, Dehghan O, Fazelidinan M, Enayati A. Dengue Fever Resurgence in Iran: An Integrative Review of Causative Factors and Control Strategies. Tropical Medicine and Infectious Disease. 2025; 10(11):309. https://doi.org/10.3390/tropicalmed10110309
Chicago/Turabian StyleNikookar, Seyed Hassan, Saeedeh Hoseini, Omid Dehghan, Mahmoud Fazelidinan, and Ahmadali Enayati. 2025. "Dengue Fever Resurgence in Iran: An Integrative Review of Causative Factors and Control Strategies" Tropical Medicine and Infectious Disease 10, no. 11: 309. https://doi.org/10.3390/tropicalmed10110309
APA StyleNikookar, S. H., Hoseini, S., Dehghan, O., Fazelidinan, M., & Enayati, A. (2025). Dengue Fever Resurgence in Iran: An Integrative Review of Causative Factors and Control Strategies. Tropical Medicine and Infectious Disease, 10(11), 309. https://doi.org/10.3390/tropicalmed10110309

