| Literature DB >> 35136568 |
Abstract
Background: The application of insecticides for malaria vector control has led to a global problem, which is the current trend of increased resistance against these chemicals. This study aimed to review the insecticide resistance status was previously determined in Asia and how to implement the necessary interventions. Moreover, the implications of resistance in malaria vector control in this region were studied.Entities:
Keywords: Anopheles; Malaria Elimination; Vector Control Program; Insecticide Resistance; Asian Countries
Mesh:
Substances:
Year: 2021 PMID: 35136568 PMCID: PMC8802149 DOI: 10.12688/f1000research.46883.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Figure 1. PRISMA flow diagram of systematic review inclusion and exclusion process.
Article describtion.
| Authors | Title | Year of piblication | Country | Study periods | Publisher | Reference |
|---|---|---|---|---|---|---|
| Ahmad
| Status of insecticide resistance in high-risk malaria
| 2016 | Afghanistan | August to October 2014 | Malaria Journal |
|
| Mishra
| Insecticide resistance status of
| 2012 | India | August to September 2009 | Journal of Vector-
|
|
| Dhiman
| Insecticide resistance and human blood meal preference
| 2014 | India | June–August 2011 | Journal of Vector-
|
|
| Sahu
| Triple insecticide resistance of
| 2015 | India | April to June 2014 | Indian Journal of
|
|
| Chand
| Insecticide resistance status of
| 2017 | India | August 2016 and February
| Pathogens and
|
|
| Chareonviriyaphap
| Review of insecticide resistance and behavioral avoidance
| 2013 | Thailand | 2000–2010 | Parasites & Vectors |
|
| Chaumeau
| Insecticide resistance of malaria vectors along the
| 2017 | Thailand | August and November 2014,
| Parasites & Vectors |
|
| Sumarnrote
| Insecticide resistance status of
| 2017 | Thailand | September 2013–September
| Malaria Journal |
|
| Gorouhi
| Biochemical Basis of Cyfluthrin and DDT Resistance in
| 2018 | Iran | April–June 2015 | Journal of
|
|
| Vatandoost
| Indication of pyrethroid resistance in the main malaria
| 2012 | Iran | Spring 2011 | Asian Pacific Journal
|
|
| Marcombe
| Insecticide resistance status of malaria vectors in Lao PDR | 2017 | Lao | The rainy (June to October)
| PloS One |
|
| Qin
| Insecticide resistance of
| 2014 | China | July–August 2012 | Parasites & Vectors |
|
| Dai
| Development of insecticide resistance of malaria vector
| 2015 | China | 2003–2012 | Malaria Journal |
|
| Surendran
| Variations in susceptibility to common insecticides and
| 2012 | Sri Lanka | July 2008–June 2010 | Parasites & Vectors |
|
| S.İ. Yavaşoglu,
| Current insecticide resistance status of
| 2019 | Turkey | April 2014 and September 2015 | ActaTropica |
|
Mosquito species and their types of habitat.
| Study location | Country |
| Sample
| Vector habitat | Reference |
|---|---|---|---|---|---|
| Nangarhar, Laghman, Kunar, Ghazni, and
| Afghanistan |
| 2049 | Ricefield, river
|
|
| Madhya Pradesh | India |
| NA | Forest |
|
| Asom-Meghalaya border area, northeast India | India |
| 200 | Forest, ponds
|
|
| Rayagada, Nowrangpur, Kalahandi, Malkangiri
| India |
| 1740 | Forest |
|
| Gadchiroli district | India |
| NA | Forest |
|
| Chiang Mai-Chiang Dao, Mae Hongsom, Phrae | Thailand |
| NA | Paddy fields and
|
|
| Thailand-Myanmar Border | Thailand |
| 5896 | Agriculture |
|
| Khong Chiam, Sirindhorn, Buntharik, and
| Thailand |
| 2088 | Forest and ricefield |
|
| Chabahar Seaport, southeast corner of Iran | Iran |
| 317 | Seaport |
|
| Sistan and Baluchistan | Iran |
| 733 | Coastal |
|
| Phongsaly, Bokeo, LuangPrabang, Vientiane
| Lao |
| 3977 | Forest, village,
|
|
| Hainan Island | China |
| 1468 | Mountainous and
|
|
| Shandong Province | China |
| 4370 | Irrigated ricefield,
|
|
| Batticaloa, Puttalam, Trincomalee and Ampara | Sri Lanka |
| 256 | Coastal and inland |
|
| Southeastern Anatolia and the Mediterranean | Turkey |
| 1230 | Agricultural, ponds,
|
|
The WHO bioassay method.
| Country | WHO bioassay with insecticides | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Organochlorine | Organophosphate | Carbamate | Pyrethroid | ||||||
| DDT (%) | malathion (%) | Bendiocarb
| Propoxur
| Permethrin
| Deltamethrin
| Lambda-
| Cyfluthrin
| Etofenprox
| |
| Afghanistan | 4.0 | 5.0 | 0.1 | NA | 0.75 | 0.05 | NA | NA | NA |
| India | 4.0 | 5.0 | NA | NA | NA | 0.05 | NA | NA | NA |
| India | 4.0 | NA | NA | NA | NA | 0.05 | NA | NA | NA |
| India | 4.0 | 5.0 | NA | NA | NA | 0.05 | NA | NA | NA |
| India | 4.0 | NA | NA | NA | 0.75 | 0.05 | 0.05 | 0.15 | NA |
| Thailand | 4.0 | NA | NA | NA | NA | NA | NA | NA | NA |
| Thailand | 4.0 | NA | NA | NA | 0.75 | 0.05 | NA | NA | NA |
| Thailand | 4.0 | NA | NA | NA | 0.75 | 0.05 | NA | NA | NA |
| Iran | 4.0 | NA | NA | NA | 0.75 | 0.05 | 0.05 | 0.15 | 0.5 |
| Iran | 4.0 | NA | NA | NA | 0.75 | 0.05 | 0.05 | 0.15 | 0.5 |
| Lao | 4.0 | NA | NA | NA | 0.75 | 0.05 | NA | NA | NA |
| China | 4.0 | 5.0 | NA | NA | NA | 0.05 | NA | NA | NA |
| China | 4.0 | 5.0 | NA | NA | NA | 0.05 | NA | 0.15 | NA |
| Sri Lanka | 4.0 | 5.0 | NA | NA | NA | 0.05 | 0.05 | NA | NA |
| Turkey | 4.0 | 5.0 | NA | 0,1 | 0,75 | 0,05 | NA | NA | 0.5 |
WHO=world health organization. DDT=dichlorodiphenyltrichloroethane. NA= not available.
Anopheles mortality rates in insecticide resistance bioassays.
| No |
| Percentage of mortality (Susceptibility Status) | Reference | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Organochlorine | Organophosphate | Carbamate | Pyrethroid | ||||||||
| DDT (%) | Malathion (%) | Bendiocarb
| Propoxur
| Permethrin
| Deltamethrin
| Lambda-
| Cyfluthrin
| Etofenprox
| |||
| 1 |
| 31-60
| 47-97
| 87-100 (PR) | NA | 87-91 (PR) | 66-78
|
| |||
| 45
| NA | NA | NA | 92.3 (PR) | 96(PR) | 88.4 (PR) | 55
| 91 (PR) |
| ||
| 62
| NA | NA | NA | NA | 96 (PR) | 89 (PR) | 82 (PR) | 100 (S) |
| ||
| 2 |
| 50-86.7 (R-PR) | 61.7-88.3 (R-PR) | 68.3-91.7
| NA | NA | NA | NA | NA |
| |
| 100 (S) | 100 (S) | 92 (PR) | NA | 100 (S) | 85 (PR) | NA | NA | NA |
| ||
| 3 |
| 6.6-26.6
| 65.4-100 (R-S) | NA | NA | NA | 71.6-94.1 (R-PR) | NA | NA | NA |
|
| 11.4-15.3
| 60.4-76.2
| NA | NA | NA | 72.6-84 (R-PR) | NA | NA | NA |
| ||
| 37.1
| 74
| NA | NA | 91.3 (PR) | 83.8 (PR) | 59.9
| 70.2
| NA |
| ||
| 81 (PR) | 95 (PR) | 100 (S) | 89 (PR) | 64
|
| ||||||
| 4 |
| 11.9-28.3
| NA | NA | NA | NA | 97.7-98.1(PR-S) | NA | NA | NA |
|
| NA | NA | NA | NA | NA | NA | NA | NA | NA |
| ||
| 100 (S) |
| ||||||||||
| 5 |
| NA | NA | NA | NA | NA | NA | NA | NA | NA |
|
| NA | NA | NA | NA | NA | 92 (PR) | NA | NA | NA |
| ||
| 98-100 (S) | NA | NA | NA | 100 (S) | 100 (S) | NA | NA | NA |
| ||
| 6 |
| 57
| NA | NA | NA | 48
| 33
| NA | NA | NA |
|
| 72-83 (R-PR) | NA | NA | NA | 65-87 (R-PR) | 45-85 (R-PR) | NA | NA | NA |
| ||
| 90 (PR) | NA | NA | NA | NA | NA | NA | NA | NA |
| ||
| 7 |
| 69
| NA | NA | NA | NA | 97-100 (PR-S) | NA | NA | NA |
|
| 74
| NA | NA | NA | 84 (PR) | 72
| NA | NA | NA |
| ||
| 8 |
| 34-61
| NA | NA | NA | 89-95 (PR) | 79-95 (R-PR) | NA | NA | NA |
|
| 67.1-88.8 (R-PR) | 77.3-88.9 (R-PR) | NA | NA | NA | NA | NA | NA | NA |
| ||
| 97 (PR) | NA | NA | NA | 95 (PR) | 75
| NA | NA | NA |
| ||
| NA | NA | NA | NA | NA | 97.9-100 (S) | NA | NA | NA |
| ||
| NA | NA | NA | NA | NA | 100 (S) | NA | NA | NA |
| ||
| 9 |
| 86-100 (PR-S) | NA | NA | NA | NA | NA | NA | NA | NA |
|
| NA | NA | NA | NA | 97 (PR) | 85 (PR) | NA | NA | NA |
| ||
| NA | NA | NA | NA | NA | 100 (PR) | NA | NA | NA |
| ||
| NA | NA | NA | NA | NA | 100 (PR) | NA | NA | NA |
| ||
| 10 |
| NA | NA | NA | NA | NA | 87 (PR) | NA | NA | NA |
|
| 11 |
| 0-100 (R-S) | NA | NA | NA | 90-100 (PR) | 100 (S) | NA | NA | NA |
|
| NA | NA | NA | NA | 100 (S) | NA | NA | NA | NA |
| ||
| 12 |
| 33-100 (R-S) | NA | NA | NA | 100 (S) | NA | NA | NA | NA |
|
| 100 (S) | NA | NA | NA | 100 (S) | 100 (S) | NA | NA | NA |
| ||
| 13 |
| 63
| NA | NA | NA | 86 (PR) | 100 (S) | NA | NA | NA |
|
| 14 |
| 30.4
| 86.6 (PR) | NA | NA | NA | 35.8
| NA | 32.4
| NA |
|
| 72.7-78.4
| NA | NA | NA | NA | 85.8-91(PR) | NA | NA | NA |
| ||
| 15 |
| 16-35
| 49-69
| NA | NA | NA | 82-96 (PR) | 72-97 (R-PR) | NA | NA |
|
| 16 |
| 55-78.3
| 58.3-90 (R-PR) | NA | 68.3-90
| NA | NA | NA | NA | NA |
|
| 17 |
| 84 (PR) | NA | NA | NA | NA | NA | NA | NA | NA |
|
| 18 |
| 82-100 (PR-S) | NA | NA | NA | 100 (S) | 100 (S) | NA | NA | NA |
|
| NA | NA | NA | NA | NA | 98 (S) | NA | NA | NA |
| ||
| 19 |
| 14
| NA | NA | NA | 100 (S) | NA | NA | NA | NA |
|
| NA | NA | NA | NA | NA | 98 (S) | NA | NA | NA |
| ||
| 20 |
| 38-47
| 93-98 (PR-S) | NA | NA | NA | 97-100 (S) | 100 (S) | NA | NA |
|
| 21 |
| 100 (S) | NA | NA | NA | 100 (S) | 100 (S) | NA | NA | NA |
|
| 22 |
| NA | NA | NA | NA | 100 (S) | NA | NA | NA |
| |
| 23 |
| NA | NA | NA | NA | 100 (S) | NA | NA | NA |
| |
*Main vector
DDT=dichlorodiphenyltrichloroethane. NA=not available, S=Susceptible (90-97% mortality suggest), P=Possible Resistance, R=Resistance= < 90%.
Insecticide resistance management strategies based on Anopheles habitat.
| Country | Study location | habitat | Insecticide resistance strategies | Reference |
|---|---|---|---|---|
| Afganistan | Nangarhar, Laghman, Kunar, Ghazni, and
| Rice field, river stream,
| Establishing a management plan for insecticide resistance, and
|
|
| India | Madhya Pradesh | Forest | Resistance management strategy by appropriate rotation of different
|
|
| Asom-Meghalaya border area, northeast
| Forest, ponds irrigation | |||
| Rayagada, Nowrangpur, Kalahandi,
| Cattle sheds, human
| |||
| Gadchiroli district | Forest | |||
| Thailand | Chiang Mai-Chiang Dao, Mae Hongsom,
| Paddy fields and rivulet | Vector prevention strategies and monitoring insecticide resistance.
|
|
| Thailand-Myanmar Border | Agriculture | |||
| Khong Chiam, Sirindhorn, Buntharik, and
| Forest and rice field | |||
| Iran | Chabahar Seaport, southeast corner of Iran | Seaport | Biological, chemical, and environmental management. Rotation of
|
|
| Sistan and Baluchistan | Coastal | |||
| Lao | Phongsaly, Bokeo, LuangPrabang,
| Forest, village | Routine monitoring of the insecticide resistance levels and mechanisms
|
|
| China | Hainan Island | Mountainous and
| Cost-effective integrated vector control programs that are beyond
|
|
| Shandong Province | Irrigated ricefield,
| |||
| Sri Lanka | Batticaloa, Puttalam, Trincomalee and
| Coastal and inland | Monitoring genetically different vector populations and their sensitivity
|
|
| Turkey | Southeastern Anatolia and the
| Agricultural, ponds,
| Effective management of insecticide resistance and monitoring of
|
|