Author Correspondence author
Journal of Mosquito Research, 2024, Vol. 14, No. 3 doi: 10.5376/jmr.2024.14.0012
Received: 01 Mar., 2024 Accepted: 11 Apr., 2024 Published: 01 May, 2024
Fu G.L., 2024, Epidemiological patterns of mosquito-borne diseases globally, Journal of Mosquito Research, 14(3): 111-123 (doi: 10.5376/jmr.2024.14.0012)
Mosquito-borne diseases represent a significant global health threat, impacting millions of people annually. This study provides a comprehensive overview of the epidemiological patterns of mosquito-borne diseases worldwide, focusing on malaria, dengue fever, Zika virus, chikungunya, yellow fever, and West Nile virus. It examines the primary mosquito species involved, including Anopheles, Aedes, and Culex, and explores the geographic distribution, seasonal variations, and the influence of socioeconomic and demographic factors on disease prevalence. Additionally, the research delves into the life cycle and vector competence of mosquitoes, the impact on public health through morbidity and mortality rates, and the economic burden on healthcare systems. Prevention and control strategies are discussed, with a focus on vector control methods, vaccination, medical interventions, and community-based initiatives. Case studies on malaria control in Sub-Saharan Africa and dengue outbreak management in Southeast Asia illustrate successful intervention strategies. This study concludes by addressing challenges such as insecticide resistance, the impact of climate change, and the need for innovative disease management approaches, providing recommendations for future research and global health policy implications.
1 Introduction
Mosquito-borne diseases represent a significant global public health challenge, affecting millions of people annually and causing substantial morbidity and mortality. These diseases, transmitted primarily by Aedes mosquitoes, include dengue, Zika, chikungunya, West Nile fever, and yellow fever, among others (Paixão et al., 2017). The epidemiological patterns of these diseases are influenced by a complex interplay of environmental, climatic, and socioeconomic factors, which vary across different regions of the world.
Mosquito-borne diseases have been a persistent threat to human health for centuries, but their impact has intensified in recent decades due to factors such as increased global travel, urbanization, and climate change. Dengue, Zika, and chikungunya viruses, for instance, have seen a dramatic rise in incidence and geographic spread, particularly in tropical and subtropical regions (Brugueras et al., 2020; Liu et al., 2020). These diseases are not only a burden due to their direct health impacts but also because of their potential to cause large-scale outbreaks, which can overwhelm healthcare systems and lead to significant economic losses (Guarner and Hale, 2019).
The Aedes aegypti and Aedes albopictus mosquitoes are the primary vectors for many of these arboviruses. Their widespread distribution and adaptability to urban environments make them particularly effective at transmitting diseases (Jones et al., 2020b). The epidemiology of these diseases is further complicated by factors such as temperature, humidity, and socioeconomic conditions, which influence mosquito distribution, development, and virus transmission dynamics (Benelli and Mehlhorn, 2016; Jones et al., 2020b).
This study aims to provide a comprehensive overview of the epidemiological patterns of mosquito-borne diseases globally, with a focus on the factors that influence their transmission and spread. By synthesizing findings from recent studies, this study elucidates the key drivers of these diseases and identify gaps in current knowledge that warrant further research. The scope includes an examination of the environmental, climatic, and socioeconomic
determinants of mosquito-borne disease outbreaks, as well as the effectiveness of current control measures. Through this analysis, this study hopes to contribute to the development of more effective strategies for the prevention and control of these pervasive public health threats.
2 Overview of Mosquito-Borne Diseases
Mosquito-borne diseases are a significant public health concern globally, affecting millions of people each year. These diseases are transmitted by various species of mosquitoes and can lead to severe health outcomes, including death. The primary mosquito-borne diseases include malaria, dengue fever, Zika virus, chikungunya, yellow fever, and West Nile virus. Each of these diseases has unique epidemiological patterns, clinical manifestations, and vectors responsible for their transmission.
2.1 Types of mosquito-borne diseases
2.1.1 Malaria
Malaria is caused by Plasmodium parasites, which are transmitted through the bites of infected Anopheles mosquitoes. It is prevalent in tropical and subtropical regions and poses a significant health burden, particularly in sub-Saharan Africa. Malaria can cause severe illness and death, especially in young children and pregnant women.
2.1.2 Dengue fever
Dengue fever is caused by the dengue virus, which is transmitted primarily by Aedes aegypti and Aedes albopictus mosquitoes. It is endemic in many tropical and subtropical regions and can lead to severe complications such as dengue hemorrhagic fever and dengue shock syndrome. The basic reproduction number (R0) for dengue varies significantly across different climate zones, with higher values observed in tropical regions (Guarner and Hale, 2019; Liu et al., 2020).
2.1.3 Zika virus
Zika virus is transmitted by Aedes mosquitoes, particularly Aedes aegypti and Aedes albopictus. It gained global attention due to its association with congenital Zika syndrome, which includes microcephaly and other severe birth defects. The virus has spread rapidly across the Americas and other regions since its emergence (Jones et al., 2020b).
2.1.4 Chikungunya
Chikungunya is caused by the chikungunya virus, which is also transmitted by Aedes mosquitoes. It is characterized by severe joint pain, fever, and rash. The disease has caused significant outbreaks in Africa, Asia, and the Americas, often co-circulating with dengue and Zika viruses (Roth et al., 2014).
2.1.5 Yellow fever
Yellow fever is a viral hemorrhagic disease transmitted by Aedes and Haemagogus mosquitoes. It is endemic in tropical regions of Africa and South America. The disease can cause severe liver damage, leading to jaundice and high mortality rates. Vaccination is available and is the primary method of prevention (Whiteman et al., 2020).
2.1.6 West Nile Virus
West Nile virus is transmitted by Culex mosquitoes and can cause severe neurological disease in humans. It is widely distributed across Africa, Europe, the Middle East, and North America. The virus primarily affects birds, but humans and other animals can become infected through mosquito bites (Weaver et al., 2018).
2.2 Mosquito species involved
2.2.1 Anopheles
Anopheles mosquitoes are the primary vectors of malaria. They are found in many parts of the world, particularly in tropical and subtropical regions. Anopheles mosquitoes are known for their role in transmitting Plasmodium parasites, which cause malaria (Mbanzulu et al., 2020).
2.2.2 Aedes
Aedes mosquitoes, particularly Aedes aegypti and Aedes albopictus, are responsible for transmitting several arboviruses, including dengue, Zika, chikungunya, and yellow fever. These mosquitoes are highly adaptable and can thrive in urban environments, making them significant vectors for these diseases (Jones et al., 2020b).
2.2.3 Culex
Culex mosquitoes are the primary vectors of West Nile virus and other encephalitis-causing viruses. They are widely distributed and can be found in both urban and rural areas. Culex mosquitoes are known for their role in transmitting diseases that affect both humans and animals (Weaver et al., 2018; Mbanzulu et al., 2020).
In conclusion, understanding the epidemiological patterns of mosquito-borne diseases and the mosquito species involved is crucial for developing effective control and prevention strategies (Agboli et al., 2021). Continued research and surveillance are essential to mitigate the impact of these diseases on global public health.
3 Global Epidemiological Patterns
3.1 Geographic distribution of mosquito-borne diseases
Mosquito-borne diseases such as dengue, Zika, chikungunya, malaria, and West Nile virus are distributed globally, with significant variations in their prevalence across different regions (Figure 1). The distribution of these diseases is largely influenced by the presence of competent mosquito vectors, primarily Aedes aegypti and Aedes albopictus, which thrive in tropical and subtropical climates (Liu et al., 2020). In Europe, for instance, these diseases are mostly imported, but the presence of suitable vectors and climatic conditions makes the region susceptible to outbreaks (Moutinho et al., 2022). The spread of these vectors is facilitated by human movement and urbanization, which create favorable conditions for mosquito breeding and disease transmission (Kraemer et al., 2019).
Figure 1 Number of studies by vectors caused by mosquitoes (Adopted from Moutinho et al., 2022) Image caption: DENV=Dengue, CHIKV=Chikungunya, WNV=West Nile Virus, ZIKV=Zika, RVFV=Rift Valley fever virus (Adopted from Moutinho et al., 2022) |
The research of Moutinho et al. (2022) presents the number of studies conducted on various mosquito-borne diseases globally and across different regions, with a focus on Europe and specific European countries. The global research landscape shows a high number of studies, particularly on Dengue (DENV), Chikungunya (CHIKV), and Malaria, indicating the significant global health burden posed by these diseases. In Europe, Italy leads in research efforts, followed by Germany and Spain, with a similar focus on DENV, CHIKV, and Malaria. The chart highlights the regional variation in research emphasis, with some countries like the United Kingdom and Sweden showing a broader range of studies across different diseases. This distribution underscores the importance of targeted research efforts in regions most affected by specific mosquito-borne diseases and reflects the varying levels of public health prioritization and resource allocation across countries.
3.2 Seasonal variations and climatic influences
Seasonal variations and climatic factors play a crucial role in the transmission dynamics of mosquito-borne diseases. Temperature, precipitation, and humidity are key determinants of mosquito population dynamics and virus transmission rates (Mordecai et al., 2019; Jones et al., 2020b). Warmer temperatures can extend the transmission season and increase the geographic range of these diseases, particularly in high-altitude and temperate regions (Colón-González et al., 2021). Climate change is expected to exacerbate these trends, leading to an increase in the population at risk and the length of the transmission season for diseases like malaria and dengue (Franklinos et al., 2019). In southern Europe, for example, climatic conditions such as temperature and precipitation have been identified as significant risk factors for the distribution of mosquito vectors and the potential emergence of diseases (Brugueras et al., 2020).
3.3 Socioeconomic and demographic factors
Socioeconomic and demographic factors significantly influence the prevalence and distribution of mosquito-borne diseases. Lower-income neighborhoods often have higher mosquito densities and disease transmission rates due to inadequate infrastructure, poor sanitation, and higher population densities (Perrin et al., 2022). In the United States, for instance, lower-income urban areas are exposed to higher mosquito burdens and associated diseases compared to higher-income areas (Yitbarek et al., 2023). Additionally, rapid urbanization and unplanned expansion contribute to the proliferation of mosquito breeding sites, further exacerbating the spread of diseases (Kolimenakis et al., 2021).
3.4 Urban vs. rural prevalence
The prevalence of mosquito-borne diseases varies between urban and rural areas, with urbanization playing a significant role in disease dynamics. Urban areas, characterized by high population densities and artificial geographical spaces, provide ideal conditions for the breeding of Aedes mosquitoes, leading to higher transmission rates of diseases like dengue, Zika, and chikungunya (Kraemer et al., 2019). Conversely, rural areas may experience different patterns of disease transmission, influenced by factors such as proximity to natural water bodies and lower population densities (Grillet et al., 2010). However, the impact of climate change is expected to increase the risk of disease transmission in both urban and rural settings, with rural areas potentially experiencing greater increases in climatic suitability for diseases like malaria and dengue (Colón-González et al., 2021).
4 Transmission Dynamics and Vector Ecology
4.1 Life cycle of mosquitoes
The life cycle of mosquitoes, particularly those of the Aedes and Culex genera, plays a crucial role in the transmission dynamics of mosquito-borne diseases. Mosquitoes undergo four life stages: egg, larva, pupa, and adult. Environmental factors such as temperature and humidity significantly influence the development and survival rates at each stage. For instance, higher temperatures can accelerate the development of immature stages, thereby increasing the population density of adult mosquitoes (Jones et al., 2020b; Chandrasegaran et al., 2020). Additionally, urbanization and the creation of artificial water bodies provide breeding sites that facilitate the proliferation of mosquito populations (Kolimenakis et al., 2021).
4.2 Vector competence and capacity
Vector competence refers to the intrinsic ability of a mosquito to acquire, maintain, and transmit a pathogen, while vector capacity encompasses the overall efficiency of a mosquito population in transmitting a disease. Aedes aegypti and Aedes albopictus are primary vectors for arboviruses such as dengue, Zika, and chikungunya, demonstrating high vector competence for these viruses (Kain et al., 2022). The vectorial capacity is influenced by factors such as mosquito density, biting rate, and the extrinsic incubation period of the pathogen within the mosquito (Smith et al., 2014). Studies have shown that urban heat islands can affect these parameters by altering the thermal and moisture conditions, thereby impacting the transmission potential of mosquito-borne diseases (LaDeau et al., 2015).
4.3 Human behavior and environmental factors
Human behavior and environmental factors are critical in shaping the epidemiological patterns of mosquito-borne diseases. Socioeconomic status, urbanization, and climate change are significant determinants of mosquito distribution and disease transmission. Poor infrastructure, inconsistent access to water, and high population density in urban areas create favorable conditions for mosquito breeding and increase human-mosquito contact (Eder et al., 2019). Climate change, characterized by rising temperatures and altered precipitation patterns, further exacerbates the spread of mosquito-borne diseases by expanding the geographical range of competent mosquito vectors (Brugueras et al., 2020). Additionally, human mobility and global transportation systems facilitate the introduction and spread of mosquito-borne pathogens to new regions (Näslund et al., 2021).
In summary, understanding the life cycle of mosquitoes, their vector competence and capacity, and the influence of human behavior and environmental factors is essential for developing effective strategies to control and prevent mosquito-borne diseases globally. Further research is needed to address knowledge gaps and improve predictive models for disease transmission (Farajollahi et al., 2011).
5 Impact on Public Health
5.1 Morbidity and mortality rates
Mosquito-borne diseases (MBDs) significantly impact global morbidity and mortality rates. Diseases such as malaria, dengue, chikungunya, Japanese encephalitis, and lymphatic filariasis collectively contribute to millions of cases annually, with substantial death tolls, particularly in tropical and subtropical regions (Figure 2) (Naik et al., 2023). The risk of mosquito-borne illness varies greatly with factors such as occupation, age, ethnicity, gender, income status, travel frequency, and climate change, leading to a diverse range of health outcomes from mild short-term illnesses to severe long-term conditions and death (Penhollow et al., 2021). The presence of competent mosquito vectors and the number of trips to and from endemic areas further exacerbate the spread and impact of these diseases (Brugueras et al., 2020).
Figure 2 Magnitude of reported cases of malaria, degue, Japanese encephalitis, and chikungunya in India, 1972-2022 (Adopted from Naik et al., 2023) |
The research of Naik et al. (2023) shows the trends in reported cases of mosquito-borne diseases in India from 1972 to 2022. Malaria cases, depicted in blue, show a significant peak around the late 1970s, followed by a gradual decline and stabilization at lower levels in the subsequent decades. Dengue cases, represented in red, have seen a notable rise since the early 2000s, with several peaks indicating periodic outbreaks, especially after 2010. Japanese encephalitis (JE) cases, shown in yellow, had occasional spikes but remained relatively lower compared to malaria and dengue. Chikungunya cases, in purple, exhibit a sharp increase around 2006, with recurrent peaks in the following years. This pattern highlights the evolving public health challenges posed by different mosquito-borne diseases in India, emphasizing the need for continuous monitoring, prevention, and control measures to address these fluctuating disease burdens effectively.
5.2 Economic burden on healthcare systems
The economic burden of MBDs is profound, particularly in low- and middle-income countries (LMICs). The direct and indirect costs associated with these diseases amount to an estimated US $12 billion per year globally (Chilakam et al., 2023). This economic strain includes out-of-pocket expenditures, catastrophic health expenditures, and impacts on gross domestic product (GDP). The financial burden is compounded by the need for extensive healthcare resources to manage and control outbreaks, which often leads to significant economic strain on healthcare systems in affected regions. Additionally, the economic impact is exacerbated by the need for ongoing surveillance, prevention, and control measures to mitigate the spread of these diseases (Näslund et al., 2021).
5.3 Long-term health effects on populations
The long-term health effects of MBDs on populations are substantial. Many individuals who contract these diseases suffer from chronic health issues that persist long after the initial infection. For instance, severe cases of diseases like dengue and chikungunya can lead to prolonged joint pain and fatigue, significantly affecting the quality of life (Penhollow et al., 2021). Moreover, the potential for these diseases to spread beyond national borders through travel and trade poses a continuous threat to global health, necessitating a holistic approach to address these challenges (Naik et al., 2023). The adaptation of mosquito vectors to changing environmental conditions further complicates efforts to control these diseases, as it facilitates their establishment in new regions inhabited by immunologically naive populations (Näslund et al., 2021).
6 Prevention and Control Strategies
6.1 Vector control methods
6.1.1 Insecticide-treated nets (ITNs)
Insecticide-treated nets (ITNs) are a cornerstone in the fight against mosquito-borne diseases, particularly malaria. ITNs work by providing a physical barrier that prevents mosquito bites and by killing mosquitoes that come into contact with the treated net (Seyoum et al., 2012). Studies have shown that ITNs significantly reduce malaria transmission and incidence, especially in areas with high mosquito density and where mosquitoes are active during sleeping hours (Pluess et al., 2010). However, the effectiveness of ITNs can be compromised by insecticide resistance in mosquito populations, necessitating the use of additional or alternative control measures.
6.1.2 Indoor residual spraying (IRS)
Indoor residual spraying (IRS) involves the application of insecticides on the interior walls of homes, where mosquitoes are likely to rest. IRS has been shown to reduce malaria prevalence and incidence, particularly when non-pyrethroid insecticides are used in areas with pyrethroid-resistant mosquito populations (Pryce et al., 2022). The combination of IRS and ITNs can provide enhanced protection, although the benefits may vary depending on the type of insecticide used and local mosquito behavior (Protopopoff et al., 2015; Protopopoff et al., 2018). IRS alone has also been effective in reducing malaria transmission in both stable and unstable malaria settings.
6.1.3 Larval source management
Larval source management (LSM) targets the aquatic stages of mosquitoes by eliminating or treating breeding sites (Mukabana et al., 2022). This method includes environmental management, such as draining stagnant water, and biological control, such as introducing larvivorous fish or bacteria that kill mosquito larvae (Tusting et al., 2013). LSM can be particularly effective in urban areas where breeding sites are more predictable and manageable. However, its success depends on thorough and continuous monitoring and community participation.
6.2 Vaccination and medical interventions
6.2.1 Current vaccines
Vaccination is a promising strategy for the prevention of mosquito-borne diseases. The RTS,S/AS01 malaria vaccine, for example, has shown efficacy in reducing malaria cases among children in sub-Saharan Africa. However, the vaccine's effectiveness varies, and it is not a standalone solution but rather a complementary tool to existing vector control methods (Achee et al., 2019). For other mosquito-borne diseases like dengue, vaccines such as Dengvaxia have been developed, but their use is limited by varying efficacy and safety concerns.
6.2.2 Emerging treatments and research
Research is ongoing to develop new vaccines and treatments for mosquito-borne diseases. Novel approaches include the use of genetically modified mosquitoes to reduce disease transmission and the development of vaccines targeting multiple stages of the mosquito life cycle or multiple pathogens (Jones et al., 2020a). Additionally, new insecticides and drug formulations are being tested to overcome resistance issues and improve the effectiveness of existing interventions.
6.3 Community-based interventions and public education
Community-based interventions and public education are crucial for the sustainable control of mosquito-borne diseases. These strategies involve educating communities about the importance of eliminating mosquito breeding sites, using protective measures like ITNs and IRS, and seeking timely medical treatment for symptoms of mosquito-borne diseases (Sherrard-Smith et al., 2019). Community engagement can enhance the effectiveness of vector control programs by ensuring local participation and compliance, thereby reducing disease transmission and improving public health outcomes.
By integrating these prevention and control strategies, it is possible to achieve a more comprehensive and effective approach to managing mosquito-borne diseases globally.
7 Case Study
7.1 Case study 1: malaria control in Sub-Saharan Africa
7.1.1 Historical context and current trends
Malaria has been a significant public health challenge in Sub-Saharan Africa for decades. Historically, the region has experienced high malaria transmission rates due to favorable climatic conditions for the Anopheles mosquito, the primary vector for malaria. Efforts to control malaria have seen varying degrees of success over the years. The introduction of artemisinin-based combination therapies (ACTs) and insecticide-treated bed nets (ITNs) in the early 2000s marked a turning point in malaria control efforts. These interventions, along with indoor residual spraying (IRS), have contributed to a significant decline in malaria incidence and mortality rates in the region (Benelli and Mehlhorn, 2016).
Despite these successes, challenges remain. The emergence of insecticide resistance in mosquito populations and drug resistance in Plasmodium parasites pose significant threats to malaria control efforts. Additionally, socio-economic factors, such as poverty and limited access to healthcare, continue to hinder progress.
7.1.2 Intervention strategies and outcomes
Several intervention strategies have been implemented to control malaria in Sub-Saharan Africa. These include the widespread distribution of ITNs, IRS, and the use of ACTs for treatment. Community-based interventions, such as health education and environmental management, have also played a crucial role in reducing malaria transmission (Benelli and Mehlhorn, 2016).
The outcomes of these interventions have been promising. For instance, the use of ITNs has been associated with a significant reduction in malaria incidence and child mortality rates. IRS has also proven effective in reducing mosquito populations and interrupting malaria transmission. However, the sustainability of these interventions is threatened by the development of resistance to insecticides and antimalarial drugs.
7.2 Case study 2: dengue outbreak management in Southeast Asia
7.2.1 Regional epidemiology
Dengue fever is a major public health concern in Southeast Asia, where it is considered the most important mosquito-borne viral disease (Guzmán et al., 2010). The region has experienced a significant increase in dengue incidence over the past few decades, with multiple dengue virus serotypes circulating simultaneously, leading to hyperendemicity (Murray et al., 2013). Factors such as rapid urbanization, increased human mobility, and climate change have contributed to the spread and intensification of dengue outbreaks in the region (Yang et al., 2021; Moutinho et al., 2022).
7.2.2 Response measures and effectiveness
Various response measures have been implemented to manage dengue outbreaks in Southeast Asia. These include vector control strategies, such as the use of insecticides, environmental management, and community-based interventions to reduce mosquito breeding sites (Guzmán et al., 2016). Surveillance systems have also been strengthened to improve early detection and response to outbreaks (Liu et al., 2020).
The effectiveness of these measures has been mixed. While insecticide use remains a cornerstone of vector control, the increasing prevalence of insecticide resistance in Aedes mosquitoes poses a significant challenge (Figure 3) (Gan et al., 2021). Integrated vector management approaches, combining chemical, biological, and environmental control methods, have shown promise in reducing mosquito populations and dengue transmission (Liu et al., 2020). Additionally, the establishment of laboratory-based sentinel surveillance and climate-based early warning systems has improved the targeting of interventions and reduced the socioeconomic impact of dengue (Tsheten et al., 2021).
Figure 3 Mechanism of insecticide resistance (Adopted from Gan et al., 2021) |
The research of Gan et al. (2021) illustrates various mechanisms by which mosquitoes develop resistance to insecticides. The mechanisms include four primary strategies. First, target-site modification (4.1) occurs when mutations alter the insecticide's binding site, preventing its efficacy. Second, metabolic resistance (4.2) involves the enhancement of detoxification enzymes that break down the insecticide before it can act. Third, penetration resistance (4.3) entails changes in the mosquito’s cuticle, reducing the insecticide's absorption. Finally, behavioral adaptations (4.4) represent changes in mosquito behavior to avoid contact with insecticides. These mechanisms collectively contribute to the growing challenge of controlling mosquito populations and the diseases they transmit, necessitating the development of novel strategies and interventions in vector management.
Overall, the management of dengue outbreaks in Southeast Asia requires continuous monitoring, adaptation of control strategies, and investment in research and development to address emerging challenges and improve public health outcomes (Guo et al., 2017).
8 Challenges and Future Directions
8.1 Resistance to insecticides
Insecticide resistance in mosquito populations is a significant challenge in controlling mosquito-borne diseases. The overuse and misuse of insecticides have led to the development of resistance, undermining the effectiveness of vector control strategies. Studies have shown that multiple, complex resistance mechanisms, such as increased metabolic detoxification and decreased sensitivity of target proteins, contribute to this resistance (Liu, 2015). In Latin America and the Caribbean, high levels of resistance to DDT, temephos, and deltamethrin have been documented, highlighting the need for alternative insecticides and resistance management strategies (Guedes et al., 2020). Future research should focus on identifying novel tools for monitoring and evaluating resistance, exploring new classes of insecticides, and developing integrated vector management approaches.
8.2 Climate change and emerging threats
Climate change is altering the distribution and dynamics of mosquito-borne diseases, posing new challenges for public health. Changes in temperature, precipitation, and other climatic factors can expand the habitats of mosquito vectors, leading to the emergence or re-emergence of diseases in previously unaffected regions (Anoopkumar and Aneesh, 2021). For instance, southern Europe has seen an increase in mosquito-borne diseases due to favorable climatic conditions (Brugueras et al., 2020). Future research should adopt advanced technologies, such as remote sensing and system dynamics modeling, to better understand and mitigate the impact of climate change on disease transmission (Franklinos et al., 2019). Additionally, a holistic approach that considers other global change processes, such as land-use and socioeconomic changes, is essential for a comprehensive understanding of disease dynamics.
8.3 Policy and funding limitations
Effective control of mosquito-borne diseases requires robust policies and adequate funding. However, current practices are often reactive and of limited efficacy, as seen during the 2015-2016 Zika virus epidemic (Fernandes et al., 2018). There is a need for united global action and sustained investment in research, vector control programs, and public health infrastructure. Policy-makers should prioritize the development and implementation of integrated vector management strategies, which combine chemical, biological, and environmental control methods. Building partnerships among public health experts, researchers, and policy-makers is crucial for addressing the current challenges and ensuring the sustainability of control efforts (Karunamoorthi and Sabesan, 2013).
8.4 Innovations in disease management
Innovative strategies are essential for improving the management of mosquito-borne diseases. Biological control methods, such as the use of Wolbachia and Asaia bacteria, have shown promise as alternatives to chemical insecticides. Additionally, new strategies like attractive toxic sugar baits and genetic manipulation of mosquito populations are being explored (Dahmana and Mediannikov, 2020). The development of vaccines for mosquito-borne arboviruses, although still in progress, represents another critical area of innovation. Future research should focus on optimizing these strategies within integrated approaches and generating epidemiological evidence of their public health impact (Achee et al., 2019). Embracing novel mathematical models that account for fine-scale heterogeneity in transmission dynamics can also enhance the effectiveness of control measures (Smith et al., 2014).
By addressing these challenges and embracing future directions, we can improve the global response to mosquito-borne diseases and reduce their impact on public health.
9 Concluding Remarks
The epidemiological patterns of mosquito-borne diseases globally are influenced by a multitude of factors, including climate change, human movement, and environmental conditions. Studies have shown that climate variables such as temperature and precipitation significantly affect the distribution and transmission dynamics of diseases like dengue, chikungunya, Zika, West Nile fever, and malaria. The expansion of mosquito vectors, particularly Aedes aegypti and Aedes albopictus, is driven by both human activities and suitable climatic conditions, leading to increased disease risk in previously unaffected regions. Additionally, the basic reproduction number (R0) of these diseases varies across different climate zones, with higher values observed in tropical and sub-tropical regions compared to temperate zones. The integration of climate and epidemiological models has been highlighted as a crucial approach for forecasting disease outbreaks and understanding the complex interactions between vectors, hosts, and the environment.
The findings underscore the urgent need for global health policies to incorporate climate change projections and environmental factors into disease prevention and control strategies. Policymakers should prioritize the development of robust surveillance systems and early warning mechanisms that can predict and respond to the shifting patterns of mosquito-borne diseases. There is also a critical need for international collaboration to address the transboundary nature of these diseases, ensuring that resources and knowledge are shared across regions to mitigate the spread of infections. Furthermore, public health interventions should be tailored to the specific climatic and socio-economic contexts of different regions, with a focus on strengthening healthcare infrastructure and community resilience in vulnerable areas.
Future research should aim to fill the gaps in understanding the multifaceted impacts of climate change on mosquito-borne disease dynamics. This includes investigating the role of additional environmental and socio-economic factors that may interact with climate variables to influence disease transmission. There is a need for more comprehensive studies that integrate diurnal temperature ranges and other climatic variations to better predict mosquito behavior and disease spread in temperate regions. Additionally, advancements in remote sensing and system dynamics modeling should be leveraged to enhance the accuracy of risk maps and outbreak forecasts. Research should also focus on the adaptive capacities of mosquito vectors to changing environmental conditions, which could inform the development of more effective vector control strategies.
Acknowledgments
Sincerely thank the two anonymous peer reviewers for their feedback on the manuscript on this platform.
Conflict of Interest Disclosure
Author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.
Achee N., Grieco J., Vatandoost H., Seixas G., Pinto J., Ching-Ng L., Martins A., Juntarajumnong W., Corbel V., Gouagna C., David J., Logan J., Orsborne J., Marois E., Devine G., and Vontas J., 2019, Alternative strategies for mosquito-borne arbovirus control, PLoS Neglected Tropical Diseases, 13(1): e0006822.
https://doi.org/10.1371/journal.pntd.0006822
PMid:30605475 PMCid:PMC6317787
Agboli E., Zahouli J., Badolo A., and Jöst H., 2021, Mosquito-associated viruses and their related mosquitoes in West Africa, Viruses, 13(5): 891.
https://doi.org/10.3390/v13050891
PMid:34065928 PMCid:PMC8151702
Anoopkumar A., and Aneesh E., 2021, A critical assessment of mosquito control and the influence of climate change on mosquito-borne disease epidemics, Environment, Development and Sustainability, 24(6): 8900-8929.
https://doi.org/10.1007/s10668-021-01792-4
Benelli G., and Mehlhorn H., 2016, Declining malaria, rising of dengue and Zika virus: insights for mosquito vector control, Parasitology Research, 115: 1747-1754.
https://doi.org/10.1007/s00436-016-4971-z
PMid:26932263
Brugueras S., Martínez B., Puente J., Figuerola J., Porro T., Rius C., Larrauri A., and Gómez-Barroso D., 2020, Environmental drivers, climate change and emergent diseases transmitted by mosquitoes and their vectors in southern Europe: a systematic review, Environmental Research, 191: 110038.
https://doi.org/10.1016/j.envres.2020.110038
PMid:32810503
Chandrasegaran K., Lahondère C., Escobar L., and Vinauger C., 2020, Linking mosquito ecology, traits, behavior, and disease transmission, Trends in Parasitology, 36(4): 393-403.
https://doi.org/10.1016/j.pt.2020.02.001
PMid:32191853
Chilakam N., Lakshminarayanan V., Keremutt S., Rajendran A., Thunga G., Poojari P., Rashid M., Mukherjee N., Bhattacharya P., and John D., 2023, Economic burden of mosquito-borne diseases in low- and middle-income countries: protocol for a systematic review, JMIR Research Protocols, 12(1): e50985.
https://doi.org/10.2196/50985
PMid:38079215 PMCid:PMC10750235
Colón-González F., Sewe M., Tompkins A., Sjödin H., Casallas A., Rocklöv J., Caminade C., and Lowe R., 2021, Projecting the risk of mosquito-borne diseases in a warmer and more populated world: a multi-model, multi-scenario intercomparison modelling study, The Lancet Planetary Health, 5(7): e404-e414.
https://doi.org/10.1016/S2542-5196(21)00132-7
PMid:34245711
Dahmana H., and Mediannikov O., 2020, Mosquito-borne diseases emergence/resurgence and how to effectively control it biologically, Pathogens, 9(4): 310.
https://doi.org/10.3390/pathogens9040310
PMid:32340230 PMCid:PMC7238209
Eder M., Cortes F., Filha N., França G., Degroote S., Braga C., Ridde V., and Martelli C., 2018, Scoping review on vector-borne diseases in urban areas: transmission dynamics, vectorial capacity and co-infection, Infectious Diseases of Poverty, 7: 1-24.
https://doi.org/10.1186/s40249-018-0475-7
PMid:30173661 PMCid:PMC6120094
Farajollahi A., Fonseca D., Kramer L., Kramer L., and Kilpatrick A., 2011, "Bird biting" mosquitoes and human disease: a review of the role of Culex pipiens complex mosquitoes in epidemiology, Infection, Genetics and Evolution, 11(7): 1577-1585.
https://doi.org/10.1016/j.meegid.2011.08.013
PMid:21875691 PMCid:PMC3190018
Fernandes J., Moise I., Maranto G., and Beier J., 2018, Revamping mosquito-borne disease control to tackle future threats, Trends in Parasitology, 34(5): 359-368.
https://doi.org/10.1016/j.pt.2018.01.005
PMid:29500034
Franklinos L., Jones K., Redding D., and Abubakar I., 2019, The effect of global change on mosquito-borne disease, The Lancet Infectious Diseases, 19(9): e302-e312.
https://doi.org/10.1016/S1473-3099(19)30161-6
PMid:31227327
Gan S., Leong Y., Barhanuddin M., Wong S., Wong S., Mak J., and Ahmad R., 2021, Dengue fever and insecticide resistance in Aedes mosquitoes in Southeast Asia: a review, Parasites & Vectors, 14(1): 315.
https://doi.org/10.1186/s13071-021-04785-4
PMid:34112220 PMCid:PMC8194039
Grillet M., Barrera R., Martinez J., Berti J., and Fortin M., 2010, Disentangling the effect of local and global spatial variation on a mosquito-borne infection in a neotropical heterogeneous environment, The American Journal of Tropical Medicine and Hygiene, 82(2): 194-201.
https://doi.org/10.4269/ajtmh.2010.09-0040
PMid:20133991 PMCid:PMC2813156
Guarner J., and Hale G., 2019, Four human diseases with significant public health impact caused by mosquito-borne flaviviruses: West Nile, Zika, dengue and yellow fever, Seminars in Diagnostic Pathology, 36(3): 170-176.
https://doi.org/10.1053/j.semdp.2019.04.009
PMid:31006554
Guedes R., Beins K., Costa D., Coelho G., and Bezerra H., 2020, Patterns of insecticide resistance in Aedes aegypti: meta-analyses of surveys in Latin America and the Caribbean, Pest Management Science, 76(6): 2144-2157.
https://doi.org/10.1002/ps.5752
PMid:31957156
Guo C., Zhou Z., Wen Z., Liu,Y., Zeng C., Xiao D., Ou M., Han Y., Huang S., Liu D., Ye X., Zou X., Wu J., Wang H., Zeng E., Jing,C., and Yang G., 2017, Global epidemiology of dengue outbreaks in 1990–2015: a systematic review and meta-analysis, Frontiers in Cellular and Infection Microbiology, 7: 317.
https://doi.org/10.3389/fcimb.2017.00317
PMid:28748176 PMCid:PMC5506197
Guzmán M., Gubler D., Izquierdo A., Martínez E., and Halstead S., 2016, Dengue infection, Nature Reviews Disease Primers, 2: 16055.
https://doi.org/10.1038/nrdp.2016.55
PMid:27534439
Guzmán M., Halstead S., Artsob H., Buchy P., Farrar J., Gubler D., Hunsperger E., Kroeger A., Margolis H., Martínez E., Nathan M., Pelegrino J., Simmons C., Yoksan S., and Peeling R., 2010, Dengue: a continuing global threat, Nature Reviews Microbiology, 8(Suppl 12): S7-S16.
https://doi.org/10.1038/nrmicro2460
PMid:21079655 PMCid:PMC4333201
Jones R., Ant T., Cameron M., and Logan J., 2020a, Novel control strategies for mosquito-borne diseases, Philosophical Transactions of the Royal Society B, 376(1818): 20190802.
https://doi.org/10.1098/rstb.2019.0802
PMid:33357056 PMCid:PMC7776938
Jones R., Kulkarni M., Davidson T., and Talbot B., 2020b, Arbovirus vectors of epidemiological concern in the Americas: a scoping review of entomological studies on Zika, dengue and chikungunya virus vectors, PLoS ONE, 15(2): e0220753.
https://doi.org/10.1371/journal.pone.0220753
PMid:32027652 PMCid:PMC7004335
Kain M., Skinner E., Athni T., Ramírez A., Mordecai E., and Hurk A., 2022, Not all mosquitoes are created equal: a synthesis of vector competence experiments reinforces virus associations of Australian mosquitoes, PLoS Neglected Tropical Diseases, 16(10): e0010768.
https://doi.org/10.1371/journal.pntd.0010768
PMid:36194577 PMCid:PMC9565724
Karunamoorthi K., and Sabesan S., 2013, Insecticide resistance in insect vectors of disease with special reference to mosquitoes: a potential threat to global public health, Health Scope, 2: 4-18.
https://doi.org/10.17795/jhealthscope-9840
Kolimenakis A., Heinz S., Wilson M., Winkler V., Yakob L., Michaelakis A., Papachristos D., Richardson C., and Horstick O., 2021, The role of urbanisation in the spread of Aedes mosquitoes and the diseases they transmit—a systematic review, PLoS Neglected Tropical Diseases, 15(9): e0009631.
https://doi.org/10.1371/journal.pntd.0009631
PMid:34499653 PMCid:PMC8428665
Kraemer M., Reiner R., Brady O., Messina J., Gilbert M., Pigott D., Yi D., Johnson K., Earl L., Marczak L., Shirude S., Weaver N., Bisanzio D., Perkins T., Lai S., Lu X., Jones P., Coelho G., Carvalho R., Bortel W., Marsboom C., Hendrickx G., Schaffner F., Moore C., Nax H., Bengtsson L., Wetter E., Tatem A., Brownstein J., Smith D., Lambrechts L., Cauchemez S., Linard C., Faria N., Pybus O., Scott T., Liu Q., Yu H., Wint G., Hay S., and Golding N., 2019, Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus, Nature Microbiology, 4(5): 854-863.
https://doi.org/10.1038/s41564-019-0376-y
PMid:30833735 PMCid:PMC6522366
LaDeau S., Allan B., Leisnham P., and Levy M., 2015, The ecological foundations of transmission potential and vector-borne disease in urban landscapes, Functional Ecology, 29(7): 889-901.
https://doi.org/10.1111/1365-2435.12487
PMid:26549921 PMCid:PMC4631442
Liu N., 2015, Insecticide resistance in mosquitoes: impact, mechanisms, and research directions, Annual Review of Entomology, 60(1): 537-559.
https://doi.org/10.1146/annurev-ento-010814-020828
PMid:25564745
Liu Y., Lillepold K., Semenza J., Tozan Y., Quam M., and Rocklöv J., 2020, Reviewing estimates of the basic reproduction number for dengue, Zika and chikungunya across global climate zones, Environmental Research, 182: 109114.
https://doi.org/10.1016/j.envres.2020.109114
PMid:31927301
Mbanzulu K., Mboera L., Luzolo F., Wumba R., Misinzo G., and Kimera S., 2020, Mosquito-borne viral diseases in the Democratic Republic of the Congo: a review, Parasites & Vectors, 13: 1-11.
https://doi.org/10.1186/s13071-020-3985-7
PMid:32103776 PMCid:PMC7045448
Mordecai E., Caldwell J., Grossman M., Lippi C., Johnson L., Neira M., Rohr J., Ryan S., Savage V., Shocket M., Sippy R., Ibarra A., Thomas M., and Villena O., 2019, Thermal biology of mosquito‐borne disease, Ecology Letters, 22(10): 1690-1708.
https://doi.org/10.1111/ele.13335
PMid:31286630 PMCid:PMC6744319
Moutinho S., Rocha J., Gomes A., Gomes B., and Ribeiro A., 2022, Spatial analysis of mosquito-borne diseases in Europe: a scoping review, Sustainability, 14(15): 8975.
https://doi.org/10.3390/su14158975
Mukabana W., Welter G., Ohr P., Tingitana L., Makame M., Ali A., and Knols B., 2022, Drones for area-wide larval source management of malaria mosquitoes, Drones, 6(7): 180.
https://doi.org/10.3390/drones6070180
Murray N., Quam M., and Wilder-Smith A., 2013, Epidemiology of dengue: past, present and future prospects, Clinical Epidemiology, 5: 299-309.
https://doi.org/10.2147/CLEP.S34440
PMid:23990732 PMCid:PMC3753061
Naik B., Tyagi B., and Xue R., 2023, Mosquito-borne diseases in India over the past 50 years and their global public health implications: a systematic review, Journal of the American Mosquito Control Association, 39(4): 258-277.
https://doi.org/10.2987/23-7131
PMid:38108431
Näslund J., Ahlm C., Islam K., Evander M., Bucht G., and Lwande O., 2021, Emerging mosquito-borne viruses linked to Aedes aegypti and Aedes albopictus: global status and preventive strategies, Vector Borne and Zoonotic Diseases, 21(10): 731-746.
https://doi.org/10.1089/vbz.2020.2762
PMid:34424778
Paixão E., Teixeira M., and Rodrigues L., 2017, Zika, chikungunya and dengue: the causes and threats of new and re-emerging arboviral diseases, BMJ Global Health, 3(Suppl 1): e000530.
https://doi.org/10.1136/bmjgh-2017-000530
PMid:29435366 PMCid:PMC5759716
Penhollow T., Torres L., Ferreira M., Cassol M., Fraga B., Bello J., and Almeida S., 2021, Impact of mosquito-borne diseases on global public health, International Physical Medicine & Rehabilitation Journal, 6(1): 19-20.
https://doi.org/10.15406/ipmrj.2021.06.00273
Perrin A., Glaizot O., and Christe P., 2022, Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta‐analysis, Global Change Biology, 28(23): 6857-6871.
https://doi.org/10.1111/gcb.16406
PMid:36107000 PMCid:PMC9828797
Pluess B., Tanser F., Lengeler C., and Sharp B., 2010, Indoor residual spraying for preventing malaria, The Cochrane Database of Systematic Reviews, 2010(4): CD006657.
https://doi.org/10.1002/14651858.CD006657.pub2
PMid:20393950 PMCid:PMC6532743
Protopopoff N., Mosha J., Lukole E., Charlwood J., Wright A., Mwalimu C., Manjurano A., Mosha F., Kisinza W., Kleinschmidt I., and Rowland M., 2018, Effectiveness of a long-lasting piperonyl butoxide-treated insecticidal net and indoor residual spray interventions, separately and together, against malaria transmitted by pyrethroid-resistant mosquitoes: a cluster, randomised controlled, two-by-two factorial design trial, The Lancet, 391(10130): 1577-1588.
https://doi.org/10.1016/S0140-6736(18)30427-6
PMid:29655496
Protopopoff N., Wright A., West P., Tigererwa R., Mosha F., Kisinza W., Kleinschmidt I., and Rowland M., 2015, Combination of insecticide treated nets and indoor residual spraying in northern Tanzania provides additional reduction in vector population density and malaria transmission rates compared to insecticide treated nets alone: a randomised control trial, PLoS ONE, 10(11): e0142671.
https://doi.org/10.1371/journal.pone.0142671
PMid:26569492 PMCid:PMC4646432
Pryce J., Medley N., and Choi L., 2022, Indoor residual spraying for preventing malaria in communities using insecticide‐treated nets, The Cochrane Database of Systematic Reviews, 2022(1): CD012688.
https://doi.org/10.1002/14651858.CD012688.pub3
PMid:35038163 PMCid:PMC8763033
Roth A., Mercier A., Lepers C., Hoy D., Duituturaga S., Benyon E., Guillaumot L., and Souarés Y., 2014, Concurrent outbreaks of dengue, chikungunya and Zika virus infections - an unprecedented epidemic wave of mosquito-borne viruses in the Pacific 2012-2014, Eurosurveillance, 19(41): 20929.
https://doi.org/10.2807/1560-7917.ES2014.19.41.20929
PMid:25345518
Seyoum A., Sikaala C., Chanda J., Chinula D., Ntamatungiro A., Hawela M., Miller J., Russell T., Briët O., and Killeen G., 2012, Human exposure to anopheline mosquitoes occurs primarily indoors, even for users of insecticide-treated nets in Luangwa Valley, South-east Zambia, Parasites & Vectors, 5: 1-10.
https://doi.org/10.1186/1756-3305-5-101
Sherrard-Smith E., Skarp J., Beale A., Fornadel C., Norris L., Moore S., Mihreteab S., Charlwood J., Bhatt S., Winskill P., Griffin J., and Churcher T., 2019, Mosquito feeding behavior and how it influences residual malaria transmission across Africa, Proceedings of the National Academy of Sciences of the United States of America, 116(30): 15086-15095.
https://doi.org/10.1073/pnas.1820646116
PMid:31285346 PMCid:PMC6660788
Smith D., Perkins T., Reiner R., Barker C., Niu T., Chaves L., Ellis A., George D., Menach A., Pulliam J., Bisanzio D., Buckee C., Chiyaka C., Cummings D., Garcia A., Gatton M., Gething P., Hartley D., Johnston G., Klein E., Michael E., Lloyd A., Pigott D., Reisen W., Ruktanonchai N., Singh B., Stoller J., Tatem A., Kitron U., Godfray H., Cohen J., Hay S., and Scott T., 2014, Recasting the theory of mosquito-borne pathogen transmission dynamics and control, Transactions of the Royal Society of Tropical Medicine and Hygiene, 108(4): 185-197.
https://doi.org/10.1093/trstmh/tru026
PMid:24591453 PMCid:PMC3952634
Tsheten T., Gray D., Clements A., and Wangdi K., 2021, Epidemiology and challenges of dengue surveillance in the WHO South-East Asia Region, Transactions of the Royal Society of Tropical Medicine and Hygiene, 115(6): 583-599.
https://doi.org/10.1093/trstmh/traa158
PMid:33410916
Tusting L., Thwing J., Sinclair D., Fillinger U., Gimnig J., Bonner K., Bottomley C., and Lindsay S., 2013, Mosquito larval source management for controlling malaria, The Cochrane Database of Systematic Reviews, 2013(8): CD008923.
https://doi.org/10.1002/14651858.CD008923.pub2
PMid:23986463 PMCid:PMC4669681
Weaver S., Charlier C., Vasilakis N., and Lecuit M., 2018, Zika, chikungunya, and other emerging vector-borne viral diseases, Annual Review of Medicine, 69(1): 395-408.
https://doi.org/10.1146/annurev-med-050715-105122
PMid:28846489 PMCid:PMC6343128
Whiteman A., Loaiza J., Yee D., Poh K., Watkins A., Lucas K., Rapp T., Kline L., Ahmed A., Chen S., Delmelle E., and Oguzie J., 2020, Do socioeconomic factors drive Aedes mosquito vectors and their arboviral diseases? A systematic review of dengue, chikungunya, yellow fever, and Zika Virus, One Health, 11: 100188.
https://doi.org/10.1016/j.onehlt.2020.100188
PMid:33392378 PMCid:PMC7772681
Yang X., Quam M., Zhang T., and Sang S., 2021, Global burden for dengue and the evolving pattern in the past 30 years, Journal of Travel Medicine, 28(8): taab146.
https://doi.org/10.1093/jtm/taab146
Yitbarek S., Chen K., Celestin M., and McCary M., 2023, Urban mosquito distributions are modulated by socioeconomic status and environmental traits in the USA, Ecological Applications, 33(5): e2869.
https://doi.org/10.1002/eap.2869
PMid:37140135
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