| Literature DB >> 31480254 |
Toqeer Ahmed1, Muhammad Zeeshan Hyder2, Irfan Liaqat1,2, Miklas Scholz3,4,5.
Abstract
Climate variability is highly impacting on mosquito-borne diseases causing malaria and dengue fever across the globe. Seasonal variability change in temperature and rainfall patterns are impacting on human health. Mosquitoes cause diseases like dengue fever, yellow fever, malaria, Chikungunya, West Nile and Japanese encephalitis. According to estimations by health organizations, annually one million human deaths are caused by vector-borne diseases, and dengue fever has increased about 30-fold over the past 50 years. Similarly, over 200 million cases of malaria are being reported annually. Mosquito-borne diseases are sensitive to temperature, humidity and seasonal variability. Both conventional (environmental, chemical, mechanical, biological etc.) and nanotechnology-based (Liposomes, nano-suspensions and polymer-based nanoparticles) approaches are used for the eradication of Malaria and dengue fever. Now green approaches are used to eradicate mosquitoes to save human health without harming the environment. In this review, the impact of climatic conditions on mosquito-borne diseases along with conventional and nanotechnology-based approaches used for controlling malaria and dengue fever have been discussed. Important recommendations have been made for people to stay healthy.Entities:
Keywords: climate change; dengue fever; environmental management; eradication of vectors; human health; malaria; mosquito-borne diseases; nanotechnology-based disease control approaches; public health risk; traditional disease control
Mesh:
Year: 2019 PMID: 31480254 PMCID: PMC6747303 DOI: 10.3390/ijerph16173165
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1PRISMA Diagram showing the literature search strategy.
Climate change impacts on vector-borne diseases [23].
| Impacts of Temperature on Certain Vectors and Vector-Borne Pathogens | Impacts of Changes in Precipitation on Vector-Borne Pathogens | Impacts of Higher Sea Level on Vector-Borne Pathogens |
|---|---|---|
|
Vector survival can increase or decrease depending on species [ Some vectors have an increased survival rate at higher temperatures, higher altitudes and latitudes [ Vector susceptibility to some pathogens varies (e.g., an increase in temperature lessens the size and lowers the activity of some vectors) [ Vector population’s growth rate can be changed [ Fluctuations in rate of feeding and host contact can change the survival rate. Alteration in population’s seasonality [ |
Larval habitat and population size may increase due to the increased rain by providing new habitat. Snowpack and excess rain can eradicate habitat due to flooding (declining vector population). Lower rainfall can provide habitat by triggering rivers to dry into pools, resulting in dry season malaria. Lower rainfall can lead to a rise of container-breeding Longer rainfall events can coordinate vector host-seeking and transmission of virus. Increased humidity can influence vector survival. [ | |
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At higher temperatures, decrease in extrinsic incubation period of pathogens [ Variations in transmission season. Variations in distribution. Lower viral replication [ |
Some direct effects but humidity significantly impacts on the malaria-causing parasite growth in the host (anopheline | |
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High rainfall can influence vegetation, food accessibility. and size of population. Elevated rainfall can cause flooding, which leads to a reduced population size but increases human contact. |
Figure 2Overview of conventional methods used for the eradication of mosquitoes.
Commonly used pesticides on the market against vectors.
| Name | International Union of Pure and Applied Chemistry Name | Molar Mass | Pack Size | Applications | Reference |
|---|---|---|---|---|---|
| Fendona 10% | [cyano-(3-phenoxyphenyl) methyl] 3-(2,2-dichloroethenyl)-2,2-dimethylcyclopropane-1-carboxylate | 416.300 g/mol | 100, 200 and 1000 mL | It has a broad action spectrum against a large variety of insect pests in households and public facilities. | [ |
| Lambda Cyhalothrin | cyano-(3-phenoxyphenyl) methyl] (1R,3R)-3-[(Z)-2-chloro-3,3,3-trifluoroprop-1-enyl]-2,2 dimethylcyclopropane-1-carboxylate | 449.854 g/mol | 250 and 500 mL | Targets aphids, butterfly larvae, cockroaches, | [ |
| Deltamethrin | Cyano (3-phenoxy-phenyl) methyl; 3-(2,2dibromoethenyl)-2,2-dimethylcyclopropanecarboxylate (CA); [partial diff]-cyano-m-phenoxy benzyl, (1R,3R)-3-(2,2-dibromovinyl)-2,2-dimethyl -cyclopropanol-carboxylate, (S)-[partial diff]-cyano-3-phenoxybenzyl (1R)-cis-3-(2,2-dibromovinyl)-2,2-dimethylcyclopropane-carboxylate | 505.240 g/mol | 25 g/L | Control of the malaria vector as a stomach poison for insects. | [ |
| Fenpropathrin | 2,2,3,3-Tetramethylcyclopropane carboxylic acid cyano(3-phenoxyphenyl) methyl ester | 349.42 g/mol | 1000 L | Controls a variety of pests; specifically, mites present in fruits and vegetables. | [ |
Plant-extracted essential oils and their mechanisms of action (after [65]).
| System | Active Compound | Mechanism | Plant | References |
|---|---|---|---|---|
|
| Essential oils | Acetylecholinestrase (AChE) inhibition | [ | |
| Veratrin | Nerves sodium channels |
| [ | |
| Nicotine | Cholinergic acetylcholine nicotinic receptor agonist/antagonist | [ | ||
|
| Thymol and Silphinenes | GABA-gated chloride channel |
| [ |
|
| Pyrethrin | Potassium ion and sodium exchange disturbance |
| [ |
| Rotenone | Cellular respiration inhibitor (mitochondrial complex I electron transportinhibitor or METI) | [ | ||
| Ryanodine | Calcium channel disturbance | [ | ||
| Sabadilla | Alter nerve cell membrane action |
| [ | |
|
| Essential oils | Octopaminergic receptors | [ | |
| Thymol | Block octopamine receptors by functioning through tyramine receptors cascade |
| [ | |
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| Azadirachtin | Anti-mitotic (G2/M Phase) |
| [ |
Figure 3Fertility rates of eggs sustained at different temperatures and humidity values: (a) relative humidity (rh) of 60%; and (b) relative humidity (rh) of 80%; n = number of eggs (adopted from [135]).
Mean number of eggs laid by Aedes aegypti females at different temperature and humidity values (after [135]).
| Temperature | Relative Humidity of 60% | Relative Humidity of 80% | ||
|---|---|---|---|---|
| Eggs | Oviposition Variation | Eggs | Oviposition Variation | |
|
| 85.99 ± 3.16 (102) | 4–160 (37.25%) | 99.08 ± 3.56 (92) | 4–155 (55.43%) |
|
| 82.89 ± 3.33 (111) | 2–143 (37.84%) | 75.75 ± 5.03 (75) | 1–144 (45.33%) |
|
| 54.53 ± 4.81 (55) | 1–126 (14.55%) | 59.62 ± 3.41 (79) | 2–132 (7.59%) |
|
| 78.25 ± 2.2 (268) | 79.29 ± 2.53 (246) | ||
Statistical data on dengue cases and the corresponding mortality during the period between 2009 and 2017.
| Reports | Saudi Arabia | Sri Lanka | Pakistan | Nepal | Malaysia | India | China | Bangladesh |
|---|---|---|---|---|---|---|---|---|
| Reported cases | 1600 | 35,008 | 1085 | 30 | 41,486 | 17,000 | 322 | 510 |
| Mortality | N/A | 346 | 13 | 0 | 90 | 105 | 0 | 0 |
| Reported cases | 2200 | 34,188 | 11,024 | 917 | 46,171 | 28,000 | 260 | 405 |
| Mortality | N/A | 229 | 40 | 5 | 135 | 112 | 0 | 0 |
| Reported cases | 2400 | 28,473 | 17,057 | 79 | 19,884 | 19,000 | 160 | 1310 |
| Mortality | N/A | 246 | 219 | 0 | 38 | 171 | 0 | 8 |
| Reported cases | 800 | 44,461 | 639 (Karachi only) | 183 | 21,900 | 50,000 | 610 | 750 |
| Mortality | N/A | 220 | 4 | 0 | 37 | 240 | 0 | 1 |
| Reported cases | 4200 | 32,063 | 4388 | 642 | 43,346 | 70,000 | 4779 | 1790 |
| Mortality | N/A | N/A | 32 | 0 | 95 | 140 | 0 | 3 |
| Reported cases | 1950 | 47,502 | 1400 | 355 | 108,698 | 40,571 | 47,056 | 355 |
| Mortality | N/A | N/A | 16 | 0 | 215 | 137 | 6 | 0 |
| Reported cases | 4200 | 29,777 | 3900 | 1500 | 120,836 | 99,913 | 4230 | 3162 |
| Mortality | N/A | N/A | 11 | 0 | 336 | 220 | 0 | N/A |
| Reported cases | N/A | 55,150 | 2500 | 594 till October | 100,028 | 1,29,166 | 2098 | 6010 |
| Mortality | N/A | N/A | 3 | N/A | 231 | 245 | N/A | N/A |
| Reported cases | N/A | 185,688 | N/A | 854 till October | 82,840 | 1,53,635 | 3195 | N/A |
| Mortality | N/A | N/A | N/A | N/A | 171 | 226 | N/A | N/A |
Figure 4(a) Monthly area weighted rainfall (mm) for Pakistan; and (b) locations of meteorological stations that are available for climate data. Note that the green color shows the monsoon zone (adopted from [143]).