Research Article | | Peer-Reviewed

Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect

Received: 18 December 2025     Accepted: 6 January 2026     Published: 26 January 2026
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Abstract

Ethiopia is one of the largest users of pesticides in East Africa for agricultural and other purposes. Pesticides provide benefits such as protecting crops from losses, maximizing yields, and controlling vectors. However, if not properly managed or controlled, pesticides can create environmental and public health risks like ocular, dermal, cardiovascular, gastrointestinal, carcinogenic, endocrine-disrupting (hormonal), developmental (reproductive), neurological (mental), mutagenic (genetic mutation), and respiratory effects. The aim of the study was to identify and prioritize pesticides for routine public health surveillance in Ethiopia using a multi-index approach. This ranking technique is based on current pesticide use (Quantity Index or QI), mobility in the environment (Environmental Exposure Potential or EEP), and acute and chronic health risks (Toxicity Potential or TP, and Hazard Potential or HP). Pesticide use and data on physicochemical and toxicity were used to prioritize pesticides for human health risk. Four indices were used for prioritization. The Quantity Index (QI) ranked pesticides by their use quantity. The Toxicity Potential Index (TP) ranked pesticides based on scores from five health effects: endocrine disruption, carcinogenicity, teratogenicity, mutagenicity, and neurotoxicity. The Hazard Potential Index (HP) was calculated by multiplying the TP by an environmental exposure potential score determined by the GUS index for each pesticide. The Weighted Hazard Potential (WHP) multiplied the HP by the ratio of a pesticide's use to the total use of all pesticides in the country. The highest scoring numbers for each effect—cancer, mutagenicity, endocrine disruption, teratogenicity, and neurotoxicity—were used for prioritization. The quantity of 2, 4-D pesticide was very high across all QI, TP, HP, and WHP, whereas permethrin was the only pesticide with a higher TP value and a high risk to human beings for carcinogenicity, endocrine-disrupting chemicals, teratogenicity, and neurotoxicity or mental effects. Folpet pesticide was the highest risk for human beings from Mutagenicity or Genetic mutation effect. Endosulfan and Flutriafol pesticides had the highest GUS values, which mean the highest mobility potential and risk to groundwater. This prioritization can be useful to inform the level of pesticides, develop monitoring programs, identify priority areas for management interventions, investigate optimal mitigation strategies, and estimate the human and environmental risks at a national level.

Published in International Journal of Safety Research (Volume 1, Issue 1)
DOI 10.11648/j.ijsr.20260101.16
Page(s) 42-53
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Pesticide, Risks, Prioritizing, Environment, Teratogenicity, Mutagenicity, Carcinogenicity, Neurotoxicity, Ethiopia

1. Introduction
Pesticides are one of the agricultural sectors, to increase productivity and alleviate food insecurity. Pesticides are applied in large-scale greenhouses and small-scale irrigation farms. The application of pesticides is not limited to agriculture only; since the 1940s, Ethiopia has been utilizing pesticides for disease control and prevention programs. For the control of malaria, DDT and Malathion have been used ubiquitously. For this reason, Ethiopia is a signatory to important international conventions, such as the Stockholm Convention and Basel Convention, which are primarily designed for the control and/or eradication of hazardous pesticides.
If not properly managed or controlled, pesticides can potentially create environmental and public health risks .These risks could be high, particularly for those occupationally exposed . Occupational pesticide exposure can occur directly during mixing and pesticide application and indirectly while performing re-entry tasks in pesticide-treated crops or by take-home exposure. Pesticide exposure can occur through the skin (dermal uptake), via the respiratory system (inhalation), or the mouth (ingestion). It may result in health effects like ocular, dermal, cardiovascular, gastrointestinal, carcinogenic, endocrine disruption, developmental, neurological, and respiratory effects . Pesticides can also contaminate water, soil, and vegetation. For instance, the consumption of agricultural produce that has pesticide residue or drinking from water sources that are contaminated with pesticides.
The potential chronic human health effects resulting from exposure to pesticides are well-known and include chronic neurotoxicity, endocrine disruption, immune impacts, genotoxicity, mutagenicity, and carcinogenicity .
The combination of potential health risks and environmental exposure is of particular concern in a country like Ethiopia, where, whilst great progress has been made in improving water, sanitation, and supply, many poor and rural Ethiopians do not have access to treated, piped water and often make use of water collected directly from surface and groundwater resources .
Taking into consideration the potential human health effects associated with exposure to agro-chemicals and their intensive use, alongside the challenges posed by the questionable supply and quality of drinking water in poor communities, it becomes essential to address the interconnected issues of pesticide exposure, water quality, and health risks. The combination of these factors can lead to significant public health concerns, particularly in rural areas where access to safe and clean drinking water is limited. This study aims to highlight the importance of monitoring and managing the risks associated with pesticides to safeguard human health and ensure the availability of high-quality water resources.
It is important to identify and prioritize: 1) Those pesticides that are likely to move into water resources and pose potential risks to human health, and 2) Areas where communities may be exposed to priority chemicals. Irrespective of the biological entity of concern (e.g., aquatic, terrestrial, or human), pesticide prioritization procedures generally integrate pesticide use, physicochemical properties (or environmental fate models), and toxicity data to indicate potential risk .
Other international studies used carcinogenicity as a more relevant toxicity endpoint for non-occupational exposure and also included environmental characteristics (i.e., half-life) as an additional indicator of various environmental exposure potential .
For all studies, pesticide sales data were used as a proxy for pesticide use. Whilst these methods provide a national overview of priority pesticides, they do not provide a spatial picture of where priority pesticides are applied and which communities may be at risk of exposure. Linking pesticide use to specific crop types is a useful means of providing a more detailed first level of spatial assessment . This study forms part of a larger integrated project examining the risks of current agricultural pesticide use to human and animal health .
Taking the potential negative effect into consideration and creating an implementation mechanism for the signed convention, Ethiopia has promulgated several regulations for the safe management of pesticides or chemicals. Concerning pesticide management, Ethiopia has endorsed a regulation for the registration and control of pesticides (Proclamation number 674/2010) in 2010. Since then, under the leadership of the Ministry of Agriculture, a registry of imported and produced pesticides has been underway. As of 2021, around 781 different concentration mixtures of pesticides of various classes have been registered.
2. Methods
2.1. Overview
Pesticide prioritization was carried out according to the method established by the study . The approach followed two distinct phases. The first phase involves identifying all active ingredients used for agricultural activity in Ethiopia. The list of all active ingredients was collected from the Ministry of Agriculture and Natural Resources and the Plant Health regulatory directorate. The first prioritization was based on usage (quantity applied on agricultural fields) and their toxicity property. The main output from the first phase was eliminating less important pesticides, those with low usage and low toxicity. For the screening, a minimum use threshold was established to ensure that only pesticides with significant presence in the market were considered. This threshold was determined based on economic and logistical considerations, such as the availability of data and the resources required for monitoring numerous compounds. Additionally, toxicological criteria were also taken into account to pre-emptively identify those compounds that could pose a greater risk, ensuring that our focus remained on those with the highest potential impact.
During the second phase, pesticides were ranked or prioritized according to their relative risk to human health and the environment. The health risk was estimated based on the potential pesticides to cause acute toxicity, endocrine disruption, carcinogenicity, teratogenicity, mutagenic, and neurotoxic effects. Hitherto, the toxicity score was generated and multiplied by the mobility score (a factor of groundwater ubiquity score). The mobility indicates the potential environmental hazard of each pesticide. Finally, the weighted hazard score for each pesticide was developed.
2.2. Pesticide Use Data of Ethiopia
The list of all active ingredients was collected from the Ministry of Agriculture and Natural Resources, Plant Health Regulatory Directorate. Furthermore, additional pertinent information, which is not available to the ministry, was collected from local importers. The distribution of active ingredients might not be available from the ministry; you can find them from the regional state office. Thus, data from a total of 64 local importers were collected. In addition, pesticide use data from the regional agricultural bureau were collected to understand the spatial distribution. Data from the regional bureau considers where they apply, the typical pesticides.
2.3. Pesticide Use Screening
The screening process involves identifying all pesticides imported and sold in Ethiopia. In such a way, the quantity of use was the first approach to prioritize, since pesticides used in large quantities have a larger effect. Thus, all the pertinent information was collected and collated from the Ministry of Agriculture. Based on the acquired information, the minimum cut-off point was decided so that any use below the assigned amount was considered low enough not to be of national importance. All pesticides were ranked by volume of usage (kg).
2.4. Toxicity Screening
Information on endpoints such as endocrine disruption potential, carcinogenicity, mutagenicity, teratogenicity, and neurotoxicity for each active ingredient was collected from . In case the required information is not available for pesticides, the study team tries to review epidemiological and toxicity testing reports to identify the aforementioned endpoints in human health.
2.5. Pesticide Prioritization Criteria
To prioritize pesticides, the following major indicators were used.
1) Quantity of use (Index) (QI)
2) Toxicity potential (TP)
3) Environmental exposure potential (EEP)
4) Hazard potential (HP)
2.5.1. Quantity Index (QI)
As of 2021, the Ministry of Agriculture has already registered 781 pesticides. However, the amount being used is not known. Therefore, the study team identified the amount being distributed by local vendors. When such data is not available, a registry of FAO was used to differentiate the amount of chemicals used in each crop-specific agricultural field.
How many active ingredients were found at the country level, for each pesticide ingredient record the quantity of volume /weight and indicate the year of the data that was collected and also identify the fungicide, or insecticide in percent for another type of pesticide type like Fungicides, herbicides, and insecticides accounted for 28%, 32.14% and 33.8% of the total use, respectively.
2.5.2. Toxicity Potential (TP)
Pesticides can have a wide range of toxicological properties. As far as epidemiological studies are concerned, they can cause lethal death, endocrine disruption, carcinogenicity, teratogenicity, and neurotoxic. The toxicological property of all pesticides was collected from the pesticide properties database, . Once their toxicological property was identified, each toxic effect was classified into one of four different endpoint categories, namely "Yes" (there is definitive evidence that the pesticide can cause the toxic effect), "Possible" (there is evidence that the chemical may result toxic effect), No data (No studies have been performed to confirm whether the pesticide does or does not cause the toxic effect), No (there is definitive evidence that the chemicals do not cause the toxic effect). Once this category was created, a scoring method as described by was used to weigh the effect of pesticides.
Table 1. The scoring system used to rank pesticides for five human health effects.The scoring system used to rank pesticides for five human health effects.The scoring system used to rank pesticides for five human health effects.

Toxic effect

Classification

Value*

Endocrine disruption

Yes

8

Possible

6

No data

3

No

0

Carcinogenicity

Yes

8

Possible

6

No data

3

No

0

Mutagenicity

Yes

6

Possible

4

No data

2

No

0

Teratogenicity

Yes

4

Possible

2

No data

1

No

0

Neurotoxicity

Yes

4

Possible

2

No data

1

No

0

The scores for carcinogenicity, mutagenicity, and teratogenicity were weighted according to their relative importance for cancer study (i.e. carcinogenicity > mutagenicity > teratogenicity).
The scores for endocrine disruption and neurotoxicity were weighted equally to carcinogenicity and teratogenicity, respectively. The system scores possible evidence of a higher-ranked effect equally to the highest score for a lower-ranked impact. Therefore, assume that a strong potential for a less important effect is at the same level as a weak potential for a more important impact. Effects for which no data were available (i.e., “No Data”) were given a higher value than for a definitive absence of effect (i.e., “No”) as a precautionary measure that essentially accounts for uncertainty. The score was lower than that given for a possible impact, as it is assumed that there is a higher probability that more serious effects would have been identified. For all endpoints, a value of 0 was attributed when the literature reported a proven absence of impacts.
The toxicity potential (TP) was obtained by summing the scores attributed to each of the five toxic effects for each active ingredient. Similar scoring and weighting approaches have been adopted in other prioritization studies .
2.5.3. Environmental Exposure Potential (EEP)
It was established that pesticides can translocate either through spray drift, leaching, or runoff. The spray drift is a function of the amount of pesticide being applied, which is, in other words, represented through the QI. The ability of a pesticide to run and leach depends on the physicochemical properties of the pesticide.
Thus, in this prioritization project, a scoring technique called the Groundwater Ubiquity Score or GUS index was used. GUS is a logarithmic scale, where compounds higher than 2.8 are classified as highly mobile and those with a value less than 1.8 are classified as non-lechers. The GUS index was used as a measure of environmental exposure potential (Table 2) as it has been widely used as an indicator of pesticide mobility in other studies and pesticide property databases .
Table 2. scoring system to rank pesticides in terms of their potential exposure risk to water resources based on their groundwater ubiquity score (GUS). scoring system to rank pesticides in terms of their potential exposure risk to water resources based on their groundwater ubiquity score (GUS). scoring system to rank pesticides in terms of their potential exposure risk to water resources based on their groundwater ubiquity score (GUS).

Environmental exposure potential

GUS score

Value

High

GUS>2.8

4

Medium

2.8>GUS>1.8

2

Low

GUS<1.8

1

No data

No Koc or DT50 value

1.5

2.5.4. Hazard Potential (HP)
The hazard potential (HP) indicates the potential for exposure to highly toxic pesticides and is calculated as follows:
HP = TP * EEP(1)
Where TP is the toxicity potential score of the pesticide, and EEP is the environmental exposure potential.
2.5.5. Weighted Hazard Potential (WHP)
Weighted Hazard potential is the result of HP multiplied by the proportion of the usage of the pesticide relative to the total usage of all pesticides.
WHP = HP *QI/Qtot(1)
Where HP is the hazard potential of the pesticide,
QI is the total quantity of usage (kg) of the pesticide nationally and
Qtot is the sum of the quantity of usage (kg) of all the pesticides.
3. Results and Discussion
In this analysis, 173 active pesticide ingredients were identified at a country level. For those pesticides, the quantity of use, the environmental health risk, and human health risk data were generated based on the pesticide prioritization index. The total quantity of the 25 top-ranked pesticides in each index was (29465106.3, 24022482, 22829290, and 29106636.5) Kg for the QI, TP, HP, and WHP, respectively.
Table 3. The calculated quantity of top 25 ranked pesticides for (QI — quantity index, TP — toxicity potential, HP — hazard potential, WHP — weighted hazard potential) prioritization indices values. The calculated quantity of top 25 ranked pesticides for (QI — quantity index, TP — toxicity potential, HP — hazard potential, WHP — weighted hazard potential) prioritization indices values. The calculated quantity of top 25 ranked pesticides for (QI — quantity index, TP — toxicity potential, HP — hazard potential, WHP — weighted hazard potential) prioritization indices values.

S.no.

Active Ingredient

QI(Kg)

Active Ingredient

TP(Kg)

Active Ingredient

HP(Kg)

Active Ingredient

WHP (Kg)

1

2,4-D

21792372.9

Permethrin

113.5

2,4-D

21792373

2,4-D

21792372.9

2

Glyphosate

2154281

Thiacloprid

210842

Endosulfan

46850

Glyphosate

2154281

3

Dimethoate

518055.2

2,4-D

21792373

Propoxur

17235

Atrazine

422307.5

4

Mancozeb

481229.6

Deltamethrin

160882.3

Cyproconazole

20600

Dimethoate

518055.2

5

Aluminium phosphide

460587.58

piperonyl butoxide

50

Methoxyfenozide

112506

Mancozeb

481229.6

6

Atrazine

422307.5

Acephate

1484

Topramezone

156

S-metolachlor

357704.5

7

S-metolachlor

357704.5

Bifenthrin

1940.5

Clothianidin

300

Fipronil

184250

8

Bifenazate

322367

Bromoxynil octanoate

4702.6

Sulfosulfuron

500

Methoxyfenozide

112506

9

Triadimefon

295092

Carbaryl

667

Carbaryl

667

Triadimefon

295092

10

Chlorothalonil

273279.1

Chlorothalonil

273279.1

Epoxiconazole

15

Chlorothalonil

273279.1

11

Carbosulfan

257181

Epoxiconazole

15

Flubendiamide

36011

Deltamethrin

160882.3

12

Clofentezine

251745

Triadimefon

295092

Flutriafol

1180

Mecoprop

200543.14

13

Thiacloprid

210842.001

Benomyl

346

Metribuzin

98

Thiacloprid

210842.001

14

Mecoprop

200543.14

Acetochlor

10.7

Nicosulfuron

20200

Aluminium phosphide

460587.58

15

Fipronil

184250

α-cypermethrin

40000

Permethrin

113.5

Tebuconazole

150105.5

16

Dimethomorph

176870.2

Atrazine

422307.5

Atrazine

422307.5

Bifenazate

322367

17

Deltamethrin

160882.3

Diazinon

15640

Fipronil

184250

Pyroxsulam

115229

18

Tebuconazole

150105.5

Fipronil

184250

Imidacloprid

340

Endosulfan

46850

19

Profenfos

147063

Iprodione

9046

Deltamethrin

160882.3

Malathion

117159.38

20

Malathion

117159.38

Malathion

117159.4

piperonyl butoxide

50

Clofentezine

251745

21

Pyroxsulam

115229

Mancozeb

481229.6

Carbendazim

4256

Dimethomorph

176870.2

22

Methoxyfenozide

112506

Pendimethalin

1600

Diuron

1530

Flubendiamide

36011

23

Metalaxyl-M

103791.8

Thiram

78

Metolachlor

226.5

Clomazone

98703.6

24

Trifloxystrobin

100084

Bioallethrin

20.24

Bifenthrin

1940.5

Profenfos

147063

25

Fenoxaprop-p-ethyl

99577.6

Dicofol

9354

Bromoxynil octanoate

4702.6

Cyproconazole

20600

Total

29465106.3

Total

24022482

Total

22829290

Total

29106636.5

Qtot (total 173 pest)

30882378.93 kg

The quantity of 2, 4-D pesticide values for all QI, TP, HP, and WHP were very high values, whereas Permethrin pesticide was the only higher TP value as compared with other pesticides. The quantity use of 2, 4-D and Permethrin pesticides was very high and very low, whereas the toxicity potential of 2, 4-D and Permethrin pesticides was low and very high, respectively. On the other hand, the hazardous potential of 2, 4-D was very high compared with other pesticides. Due to these reasons, the WHP values of 2, 4-D were very high. 2; 4-D pesticide was very high at the national level by health risk and the quantity usage (Table 4).
Table 4. The calculated (QI — quantity index, TP — toxicity potential — hazard potential; WHP — weighted hazard potential) prioritization indices values of the top 25 ranked pesticides.The calculated (QI — quantity index, TP — toxicity potential — hazard potential; WHP — weighted hazard potential) prioritization indices values of the top 25 ranked pesticides.The calculated (QI — quantity index, TP — toxicity potential — hazard potential; WHP — weighted hazard potential) prioritization indices values of the top 25 ranked pesticides.

S.no.

Active ingredients

QI

Active ingredients

TP

Active ingredients

HP

Active ingredients

WHP

1

2,4-D

21792372.9

Permethrin

26

2,4-D

88

2,4-D

62.09783

2

Glyphosate

2154281

Thiacloprid

24

Endosulfan

64

Glyphosate

1.255637

3

Dimethoate

518055.2

2,4-D

22

Propoxur

64

Atrazine

0.492289

4

Mancozeb

481229.6

Deltamethrin

22

Cyproconazole

56

Dimethoate

0.469703

5

Aluminium phosphide

460587.58

piperonyl butoxide

22

Methoxyfenozide

56

Mancozeb

0.420732

6

Atrazine

422307.5

Acephate

21

Topramezone

56

S-metolachlor

0.301153

7

S-metolachlor

357704.5

Bifenthrin

20

Clothianidin

48

Fipronil

0.214783

8

Bifenazate

322367

Bromoxynil octanoate

20

Sulfosulfuron

44

Methoxyfenozide

0.204011

9

Triadimefon

295092

Carbaryl

20

Carbaryl

40

Triadimefon

0.191107

10

Chlorothalonil

273279.1

Chlorothalonil

20

Epoxiconazole

40

Chlorothalonil

0.176981

11

Carbosulfan

257181

Epoxiconazole

20

Flubendiamide

40

Deltamethrin

0.171914

12

Clofentezine

251745

Triadimefon

20

Flutriafol

40

Mecoprop

0.168838

13

Thiacloprid

210842.001

Benomyl

19

Metribuzin

40

Thiacloprid

0.163854

14

Mecoprop

200543.14

Acetochlor

18

Nicosulfuron

40

Aluminium phosphide

0.149143

15

Fipronil

184250

Alpha-cypermethrin

18

Permethrin

39

Tebuconazole

0.126374

16

Dimethomorph

176870.2

Atrazine

18

Atrazine

36

Bifenazate

0.114824

17

Deltamethrin

160882.3

Diazinon

18

Fipronil

36

Pyroxsulam

0.104474

18

Tebuconazole

150105.5

Fipronil

18

Imidacloprid

36

Endosulfan

0.097091

19

Profenfos

147063

Iprodione

18

Deltamethrin

33

Malathion

0.068287

20

Malathion

117159.38

Malathion

18

piperonyl butoxide

33

Clofentezine

0.065214

21

Pyroxsulam

115229

Mancozeb

18

Carbendazim

32

Dimethomorph

0.057272

22

Methoxyfenozide

112506

Pendimethalin

18

Diuron

32

Flubendiamide

0.046643

23

Metalaxyl-M

103791.8

Thiram

18

Metolachlor

32

Clomazone

0.044746

24

Trifloxystrobin

100084

Bioallethrin

17

Bifenthrin

30

Profenfos

0.042858

25

Fenoxaprop-p-ethyl

99577.6

Dicofol

17

Bromoxynil octanoate

30

Cyproconazole

0.037355

Total

29465106.3

Total

490

Total

1085

Total

67.28312

From the 173 total national pesticides,16.19% (high), 15.03% (medium), 20.23% (no data), and 48.56% (low) environmental exposure potential risk to water based on groundwater ubiquity score (GUS). From this (i.e., 48.56%), most pesticides had lower environmental exposure potential. Endosulfan (GUS index= 5.28), and Flutriafol (GUS index= 5.18) pesticides had the highest GUS values, which means the highest mobility potential and risk to groundwater.
Table 5. The calculated Environmental Exposure Potential.

S.no.

Active ingredients

GGUS index US index

EEP (mobility)

S.no.

Active ingredients

GGUS index US index

EEP (mobility)

1

Endosulfan

5.28

High

15

Chlorantraniliprole

3.51

High

2

Flutriafol

5.18

High

16

Nicosulfuron

3.44

High

3

Amicarbazone

4.89

High

17

Metsulfuron-methyl

3.28

High

4

Hexazinone

4.43

High

18

Fluopyram

3.23

High

5

Flumetsulam

4.22

High

19

Azoxystrobin

3.1

High

6

Sulfosulfuron

4.09

High

20

Cyproconazole

3.04

High

7

Flubendiamide

3.98

High

21

Clopyralid

3.02

High

8

Tricyclazole

3.89

High

22

Methoxyfenozide

3

High

9

Mesosulfuron -methyl

3.85

High

23

MCPA

2.98

High

10

2,4-D

3.82

High

24

Metribuzin

2.96

High

11

Clothianidin

3.74

High

25

Flucarbazone-sodium

2.94

High

12

Imidacloprid

3.69

High

26

Topramezone

2.88

High

13

Propoxur

3.65

High

27

Chlorimuron-ethyl

2.86

High

14

Thiamethoxam

3.58

High

28

Pyroxsulam

2.84

High

The pesticides were very high risk to human beings from carcinogenicity or Cancer effects (Permethrin, Chlorothalonil, Epoxiconazole, and Diuron which were the scoring system for human impact (score of 8) respectively.
Table 6. Pesticides that have the highest Cancer Effect.

S.no.

Name of Pesticides

S.no.

Name of Pesticides

S.no.

Name of Pesticides

1

Permethrin

25

Isoxaflutole

49

Metolachlor

2

Chlorothalonil

26

Ethoprophos

50

Cyproconazole

3

Epoxiconazole

27

Propoxur

51

Tribenuron methyl

4

Diuron

28

Tetramethrin

52

Bupirimate

5

Thiacloprid

29

Mecoprop

53

Picoxystrobin

6

2,4-D

30

Fosetyl

54

Dimethenamid-P

7

Deltamethrin

31

Benomyl

55

Sulfosulfuron

8

piperonyl butoxide

32

Topramezone

56

Diclofop-methyl

9

Bifenthrin

33

S-metolachlor

57

Fludioxonil

10

Fipronil

34

Thiophanate-methyl

58

Dithianon

11

Malathion

35

Propiconazole

59

Paraquat

12

Diazinon

36

Terbuthylazine

60

Boscalid

13

Acephate

37

Tembotrione

61

Clofentezine

14

Dicofol

38

Tebufenpyrad

62

Difenoconazole

15

Carbaryl

39

Allethrin

63

Bioallethrin

16

Triadimefon

40

Bromoxynil octanoate

64

Hexaconazole

17

Alpha-cypermethrin

41

Mancozeb

65

Folpet

18

Atrazine

42

Iprodione

66

Nicosulfuron

19

Thiram

43

Pendimethalin

67

Methoxyfenozide

20

Cypermethrin

44

Acetochlor

68

Glyphosate

21

Dicamba

45

Carbendazim

69

Penoxsulam

22

Mepiquat chloride

46

Tebuconazole

70

Kresoxim-methyl

23

Dimethoate

47

Alachlor

71

Carfentrazone-ethyl

24

Clodinafop- Propargyl

48

Chlorfenapyr

72

Glyphosate, isopropylamine salt

Folpet, which was the scoring system for human impact (score of 6). Dimethoate and Oxydemeton-methyl pesticides were at the highest risk for human beings from Mutagenicity or Genetic mutation effect, next to Folpet.
Table 7. Pesticides that have the highest Mutagenicity effect.

S.no.

Name of Pesticides

S.no.

Name of Pesticides

S.no.

1

Folpet

29

Acetochlor

57

Mesosulfuron -methyl

2

Dimethoate

30

Alachlor

58

Zinc phosphide

3

Oxydemeton-methyl

31

Chlorfenapyr

59

Bixafen

4

Permethrin

32

Metolachlor

60

Diafenthiuron

5

Chlorothalonil

33

Picoxystrobin

61

oxymatrine/ martin

6

Epoxiconazole

34

Dimethenamid-P

62

Tricyclazole

7

Thiacloprid

35

Paraquat

63

Prallethrin

8

2,4-D

36

Boscalid

64

Fatty alcohol ethoxylate

9

Deltamethrin

37

Bioallethrin

65

Halauxifen-methyl

10

piperonyl butoxide

38

Hexaconazole

66

Trifloxystrobin

11

Acephate

39

Methoxyfenozide

67

Pyraclostrobin

12

Triadimefon

40

Glyphosate, isopropylamine salt

68

Chlorimuron-ethyl

13

Atrazine

41

Flocoumafen

69

Saflufenacil

14

Thiram

42

Ametrine

70

Hexazinone

15

Dicamba

43

Rape seed oil

71

MCPA

16

Propoxur

44

Endosulfan

72

Copper (II) hydroxide

17

Tetramethrin

45

Amitraz

73

Spinosad

18

Mecoprop

46

Indoxacarb

74

Flumetsulam

19

Fosetyl

47

Flucythrinate

75

Diclosulam

20

Benomyl

48

Cyfluthrin

76

Acetamiprid

21

S-metolachlor

49

Fluroxypyr

77

Sulfur

22

Thiophanate-methyl

50

Profenfos

78

Amicarbazone

23

Propiconazole

51

iodosulfuron-methyl-sodium

79

Novaluron

24

Allethrin

52

Bifenazate

80

Flucarbazone-sodium

25

Bromoxynil octanoate

53

Emamectin Benzoate

81

Polyoxin AL

26

Mancozeb

54

Prometryn

82

Brodifacoum

27

Iprodione

55

Fenthion

28

Pendimethalin

56

Thidiazuron

The pesticides were very high risk to human beings from endocrine disrupting chemicals or EDCs (Permethrin, Thiacloprid, and Deltamethrin, which were the scoring system for human effect (score of 8).
Table 8. Pesticides that have the highest Endocrine disruptor effect. Pesticides that have the highest Endocrine disruptor effect. Pesticides that have the highest Endocrine disruptor effect.

S.no.

Name of Pesticides

S.no.

Name of Pesticides

S.no.

1

Permethrin

22

Benomyl

43

Cypermethrin

2

Thiacloprid

23

Propiconazole

44

Carbendazim

3

Deltamethrin

24

Allethrin

45

Cyproconazole

4

piperonyl butoxide

25

Mancozeb

46

Tribenuron methyl

5

Acephate

26

Iprodione

47

Bupirimate

6

Bromoxynil octanoate

27

Pendimethalin

48

Glyphosate

7

Bioallethrin

28

Acetochlor

49

Penoxsulam

8

Prometryn

29

Alachlor

50

Bromadiolone

9

Bifenthrin

30

Chlorfenapyr

51

Chlorpyrifos

10

Carbaryl

31

Metolachlor

52

Chlorpyrifos ethyl

11

Flufenoxuron

32

Hexaconazole

53

Clothianidin

12

Flubendiamide

33

Methoxyfenozide

54

Bendiocarb

13

Fenitrothion

34

Endosulfan

55

Propamocarb hydrochloride

14

Chlorothalonil

35

Amitraz

56

Copper oxychloride

15

Epoxiconazole

36

Indoxacarb

57

Penconazole

16

2,4-D

37

Diuron

58

Flutriafol

17

Triadimefon

38

Fipronil

59

Metribuzin

18

Atrazine

39

Malathion

60

Pyriproxyfen

19

Thiram

40

Diazinon

61

Myclobutanil

20

Propoxur

41

Dicofol

62

Beta-cypermethrin

21

Tetramethrin

42

Alpha-cypermethrin

62

Beta-cypermethrin

The pesticides were very high risk to human beings from Teratogenicity or reproduction /development effects were Permethrin, Thiacloprid, and Bromoxynil octanoate, which were the scoring system for human effects (score of 4), respectively.
Table 9. Pesticides that have the highest Teratogenicity effect. Pesticides that have the highest Teratogenicity effect. Pesticides that have the highest Teratogenicity effect.

S.no.

Name of Pesticides

S.no.

Name of Pesticides

S.no.

Name of Pesticides

1

Permethrin

16

Carbendazim

31

Cymoxanil

2

Thiacloprid

17

Bromadiolone

32

Thiencarbazone-methyl

3

Bromoxynil octanoate

18

Chlorpyrifos

33

Dodemorph acetate

4

Carbaryl

19

Chlorpyrifos ethyl

34

Fenbutatin oxide

5

Chlorothalonil

20

Penconazole

35

Oxydemeton-methyl

6

Epoxiconazole

21

Flutriafol

36

S-metolachlor

7

2,4-D

22

Metribuzin

37

Thiophanate-methyl

8

Triadimefon

23

Bifenazate

38

Trifloxystrobin

9

Benomyl

24

Zinc phosphide

39

Pyraclostrobin

10

Mancozeb

25

Bixafen

40

Abamectin

11

Iprodione

26

Halauxifen-methyl

41

Glufosinate-ammonium

12

Pendimethalin

27

Topramezone

42

Prothioconazole

13

Acetochlor

28

Tebuconazole

43

Spinetoram

14

Endosulfan

29

Imidacloprid

15

Alpha-cypermethrin

30

Clomazone

The Permethrin, Thiacloprid, and 2, 4-D pesticides were very high risk to a human being from Neurotoxicity or mental effects, which were the scoring system for human effect (score of 4).
Table 10. Pesticides that have the highest Neurotoxicity effect. Pesticides that have the highest Neurotoxicity effect. Pesticides that have the highest Neurotoxicity effect.

S.no.

Name of Pesticides

S.no.

Name of Pesticides

S.no.

Name of Pesticides

1

Permethrin

11

piperonyl butoxide

21

Cyfluthrin

2

Thiacloprid

12

Bifenthrin

22

Fluroxypyr

3

2,4-D

13

Amitraz

23

Acephate

4

Endosulfan

14

Indoxacarb

24

Dicofol

5

Chlorpyrifos

15

Fipronil

25

Profenfos

6

Chlorpyrifos ethyl

16

Malathion

26

iodosulfuron-methyl-sodium

7

Oxydemeton-methyl

17

Diazinon

27

Mesotrione

8

Abamectin

18

Clothianidin

28

Carbaryl

9

Glufosinate-ammonium

19

Bendiocarb

10

Deltamethrin

20

Flucythrinate

4. Conclusion
The prioritization approach is used to inform the level of pesticides, develop monitoring programs, identify priority areas for management interventions, and investigate optimal mitigation strategies. The reliability of sales data as a proxy for pesticide use data has high associated uncertainty, but it is currently the most effective and widely used means of performing such assessments. The importance of this methodology is to prioritize the list of pesticides based on four indices, ensuring the highly toxic and mobile pesticides, as well as high-use pesticides, are included. Generally, the pesticide prioritization process is used to estimate the human and environmental risks at a national level, because pesticide data is often only available as the total quantity of a pesticide sold (or used).
5. Recommendation
This study is the first assessment at the national level. Addressing and prioritizing applied pesticides has recently emerged as a global priority, and hence, it is very necessary to identify pesticides with high mobility, large volume of use, together with significant potential health impacts, for further investigation or mitigation strategies. By carefully considering the findings of this study, further research, risk assessment, and potential regulations with a multi-faceted approach are required.
Abbreviations

QI

Quantity Index

TP

Toxicity Potential

HP

Hazard Potential

WHP

Weighted Hazard Potential

EEP

Environmental Exposure Potential

2,4-D

2,4-Dichlorophenoxyacetic Acid

MOA

Minister of Agriculture

FAO

Food and Agricultural Organization

GUS

Groundwater Ubiquity Score

C

Carcinogenicity/Cancer Effect

ED

Endocrine Disruptor /Body Hormone Effect

T

Teratogenicity /Reproduction/Development Effect

N

Neurotoxicity/Mental Effect

M

Mutagenicity/Genetic Mutation Effect

Conflicts of Interest
There is no conflict of interest.
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Cite This Article
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    Faris, T. A., Weldtinsae, A., Getachew, M., Gizaw, M., Abera, D., et al. (2026). Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect. International Journal of Safety Research, 1(1), 42-53. https://doi.org/10.11648/j.ijsr.20260101.16

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    Faris, T. A.; Weldtinsae, A.; Getachew, M.; Gizaw, M.; Abera, D., et al. Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect. Int. J. Saf. Res. 2026, 1(1), 42-53. doi: 10.11648/j.ijsr.20260101.16

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    AMA Style

    Faris TA, Weldtinsae A, Getachew M, Gizaw M, Abera D, et al. Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect. Int J Saf Res. 2026;1(1):42-53. doi: 10.11648/j.ijsr.20260101.16

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  • @article{10.11648/j.ijsr.20260101.16,
      author = {Tassew Arega Faris and Abel Weldtinsae and Mesay Getachew and Melaku Gizaw and Daniel Abera and Samson Mideksa},
      title = {Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect},
      journal = {International Journal of Safety Research},
      volume = {1},
      number = {1},
      pages = {42-53},
      doi = {10.11648/j.ijsr.20260101.16},
      url = {https://doi.org/10.11648/j.ijsr.20260101.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsr.20260101.16},
      abstract = {Ethiopia is one of the largest users of pesticides in East Africa for agricultural and other purposes. Pesticides provide benefits such as protecting crops from losses, maximizing yields, and controlling vectors. However, if not properly managed or controlled, pesticides can create environmental and public health risks like ocular, dermal, cardiovascular, gastrointestinal, carcinogenic, endocrine-disrupting (hormonal), developmental (reproductive), neurological (mental), mutagenic (genetic mutation), and respiratory effects. The aim of the study was to identify and prioritize pesticides for routine public health surveillance in Ethiopia using a multi-index approach. This ranking technique is based on current pesticide use (Quantity Index or QI), mobility in the environment (Environmental Exposure Potential or EEP), and acute and chronic health risks (Toxicity Potential or TP, and Hazard Potential or HP). Pesticide use and data on physicochemical and toxicity were used to prioritize pesticides for human health risk. Four indices were used for prioritization. The Quantity Index (QI) ranked pesticides by their use quantity. The Toxicity Potential Index (TP) ranked pesticides based on scores from five health effects: endocrine disruption, carcinogenicity, teratogenicity, mutagenicity, and neurotoxicity. The Hazard Potential Index (HP) was calculated by multiplying the TP by an environmental exposure potential score determined by the GUS index for each pesticide. The Weighted Hazard Potential (WHP) multiplied the HP by the ratio of a pesticide's use to the total use of all pesticides in the country. The highest scoring numbers for each effect—cancer, mutagenicity, endocrine disruption, teratogenicity, and neurotoxicity—were used for prioritization. The quantity of 2, 4-D pesticide was very high across all QI, TP, HP, and WHP, whereas permethrin was the only pesticide with a higher TP value and a high risk to human beings for carcinogenicity, endocrine-disrupting chemicals, teratogenicity, and neurotoxicity or mental effects. Folpet pesticide was the highest risk for human beings from Mutagenicity or Genetic mutation effect. Endosulfan and Flutriafol pesticides had the highest GUS values, which mean the highest mobility potential and risk to groundwater. This prioritization can be useful to inform the level of pesticides, develop monitoring programs, identify priority areas for management interventions, investigate optimal mitigation strategies, and estimate the human and environmental risks at a national level.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Prioritization of Applied Pesticides in Ethiopia for Routine Chemical Surveillance Based on Environmental Mobility, Usage Quantity, and Non-Communicable Diseases Effect
    AU  - Tassew Arega Faris
    AU  - Abel Weldtinsae
    AU  - Mesay Getachew
    AU  - Melaku Gizaw
    AU  - Daniel Abera
    AU  - Samson Mideksa
    Y1  - 2026/01/26
    PY  - 2026
    N1  - https://doi.org/10.11648/j.ijsr.20260101.16
    DO  - 10.11648/j.ijsr.20260101.16
    T2  - International Journal of Safety Research
    JF  - International Journal of Safety Research
    JO  - International Journal of Safety Research
    SP  - 42
    EP  - 53
    PB  - Science Publishing Group
    UR  - https://doi.org/10.11648/j.ijsr.20260101.16
    AB  - Ethiopia is one of the largest users of pesticides in East Africa for agricultural and other purposes. Pesticides provide benefits such as protecting crops from losses, maximizing yields, and controlling vectors. However, if not properly managed or controlled, pesticides can create environmental and public health risks like ocular, dermal, cardiovascular, gastrointestinal, carcinogenic, endocrine-disrupting (hormonal), developmental (reproductive), neurological (mental), mutagenic (genetic mutation), and respiratory effects. The aim of the study was to identify and prioritize pesticides for routine public health surveillance in Ethiopia using a multi-index approach. This ranking technique is based on current pesticide use (Quantity Index or QI), mobility in the environment (Environmental Exposure Potential or EEP), and acute and chronic health risks (Toxicity Potential or TP, and Hazard Potential or HP). Pesticide use and data on physicochemical and toxicity were used to prioritize pesticides for human health risk. Four indices were used for prioritization. The Quantity Index (QI) ranked pesticides by their use quantity. The Toxicity Potential Index (TP) ranked pesticides based on scores from five health effects: endocrine disruption, carcinogenicity, teratogenicity, mutagenicity, and neurotoxicity. The Hazard Potential Index (HP) was calculated by multiplying the TP by an environmental exposure potential score determined by the GUS index for each pesticide. The Weighted Hazard Potential (WHP) multiplied the HP by the ratio of a pesticide's use to the total use of all pesticides in the country. The highest scoring numbers for each effect—cancer, mutagenicity, endocrine disruption, teratogenicity, and neurotoxicity—were used for prioritization. The quantity of 2, 4-D pesticide was very high across all QI, TP, HP, and WHP, whereas permethrin was the only pesticide with a higher TP value and a high risk to human beings for carcinogenicity, endocrine-disrupting chemicals, teratogenicity, and neurotoxicity or mental effects. Folpet pesticide was the highest risk for human beings from Mutagenicity or Genetic mutation effect. Endosulfan and Flutriafol pesticides had the highest GUS values, which mean the highest mobility potential and risk to groundwater. This prioritization can be useful to inform the level of pesticides, develop monitoring programs, identify priority areas for management interventions, investigate optimal mitigation strategies, and estimate the human and environmental risks at a national level.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • Non-Communicable Disease Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Environmental and Climate Change Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Non-Communicable Disease Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Non-Communicable Disease Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Non-Communicable Disease Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia

  • Non-Communicable Disease Research Division, Ethiopian Public Health Institute, Addis Ababa, Ethiopia