Research Article | | Peer-Reviewed

Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger

Received: 20 November 2024     Accepted: 3 December 2024     Published: 19 December 2024
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Abstract

The risks posed by foodborne microbiological hazards are a concern for human health on a global scale. They are responsible for foodborne illnesses (FBI). The general objective of this study is to analyze the risks associated with microbiological hazards in ready-to-eat foods in Niger. A descriptive retrospective study was conducted in Niamey, Niger. Investigations were carried out at three (3) major hospitals in Niamey city (National Hospital of Niamey (HNN), General Reference Hospital, and the Amirou Boubacar Diallo National Hospital) to collect data on the FBI from 2019 to 2023. Then, a consumer survey was conducted for convenience among hundred (100) people who had been victims of the FBI to collect information on the causes, consequences, and economic impact of the FBI. The results showed that in total, eighty-nine (89) cases of FBI were recorded in the three hospitals during this period, including one (1) death. The National Hospital of Niamey has the largest cases (89.88%). However, the consumer survey noted that 72% of individuals suffering from FBI are over 15 years old. 31% are female and 69% are male. Also, 67% of FBI cases are caused by the consumption of food of animal origin. Medical treatment is the most widely used (56%) by the patients and the cost is considered low. This study can serve as a tool to help develop strategies for preventing health risks related to microbiological hazards in ready-to-eat foods in Niger.

Published in Journal of Food and Nutrition Sciences (Volume 12, Issue 6)
DOI 10.11648/j.jfns.20241206.17
Page(s) 302-309
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), 2024. Published by Science Publishing Group

Keywords

Microbiological Risks, Food Poisoning, Incriminated Foods, Preventive Control System, Niamey (Niger)

1. Introduction
Food quality is defined according to its nutritional, organoleptic, health, and environmental characteristics. This quality can be affected by the presence or activity of microorganisms. Indeed, food products are mostly non-sterile and likely to be a growth medium for microorganisms . Food and the water used for their production, processing, and preparation are potential vectors of many microbiological and chemical hazards . Thus, the accidental ingestion of these microorganisms or products of their metabolism, often invisible to the naked eye, via food products can be the source of many diseases, infections, and food poisoning .
Foodborne illnesses are usually caused by bacteria, viruses, parasites, or chemical substances contaminating food. They are generally not lethal . Also, the number of cases per outbreak is generally low, between 3 and 30 , but it can be much higher in certain circumstances. Foodborne diseases affect the health and well-being of the population and have repercussions on families, communities, businesses, and countries. They impose a heavy burden on the health system and significantly reduce the economic productivity of food throughout the chain in both developed and developing countries . Thus, serious and costly foodborne illnesses and outbreaks have occurred in developed countries and will continue to do so, despite food and agricultural systems being generally recognized as safe . Non-compliance with international food standards, ineffective food regulatory control systems, and lack of access to safe drinking water are the main causes . Foodborne illnesses represent a current public health issue, and as such, they are included among the notifiable diseases and require rigorous investigation to understand the disease better.
With an estimated 600 million cases of foodborne illness per year, according to the United Nations, unsafe food poses a threat to human health and economies and disproportionately affects vulnerable and marginalized people, including women, children, populations affected by conflict, and migrants. It is estimated that approximately 420,000 people worldwide die each year from ingesting contaminated food, and children under 5 years of age bear 40 percent of the foodborne illness burden, including 125,000 deaths per year . The frequency of these foodborne illnesses is linked to street food, which consists mainly of ready-to-eat foods . However, it is necessary to carry out investigations to determine the risk linked to microbiological hazards in food. Hence, the present study was initiated and has the general objective of analyzing the risks linked to microbiological hazards in ready-to-eat foods in Niger, it is specifically about; determining the prevalence of diseases caused by the ingestion of food contaminated by microorganisms, determining the causes, consequences and economic impact of foodborne illnesses, and monitoring a microbiological risk control system linked to the consumption of food in Niger.
2. Materials and Methods
2.1. Study Zone
The study was carried out at the three (3) major hospitals of Niamey city, namely: The National Hospital of Niamey (NHN), Amirou Boubacar Diallo National Hospital in Niamey is affiliated with the Abdou Moumouni University of Niamey, and General Reference Hospital of Niamey (HGR), located at Latitude: N 13°30’47.20032’’ Longitude: E 2°6’1.36764’’); (Latitude: N 13°30’15.0462’’ Longitude: E 2°4’53.75136’’) and (Latitude: N 13°35’15.12708’’, Longitude: E 2°5’34.9746’’) respectively.
2.2. Data Collection Tools
The study used documentation of the epidemiological services of the three (3) major hospitals in the city of Niamey. Indeed, data on the prevalence of FBI were collected in the epidemiological service of each of the three hospitals concerned by the study. All cases of FBI recorded over the last five (5) years were collected. KoboCollect was used to collect consumer survey data.
2.3. Target Population
To determine the prevalence of FBI, the target population was determined based on individuals who were registered in the database of the hospital’s epidemiological services during the period 2019-2023.
For the consumer survey, this refers to any person who has been a victim of food poisoning at least once in their life.
2.4. Type of Sampling
An exhaustive analysis of the files of the various FBI cases recorded between 2019 and 2023 in the three hospitals concerned by the study was carried out. For the consumer survey, the sample size was determined exhaustively for convenience. Thus, a sample of one hundred (100) individuals who had all been affected at least once by FBI was taken into account for the consumer survey.
2.5. Inclusion Criteria
All existing data on FBI from 2019 to 2023. It should be noted that many FBI cases were not archived because the patient files were not properly completed and these diseases are not included in the list of diseases that must be reported. For the consumer survey, all people who had been a victim of the FBI at least once in their life were included in the study, regardless of their age, gender, social class, ethnicity, etc., and who had given their consent to participate in the study.
2.6. Data Collection Technique
Data on the prevalence of FBI were collected using the archives of the epidemiological services of the three main hospitals involved in the study. For the consumer survey, a face-to-face individual interview was conducted using the established survey form.
2.7. Data Analysis and Processing Techniques
The data collected on FBI cases recorded in the major hospitals of Niamey were entered and processed using Excel 2016 software. The percentages and frequencies were calculated.
For the consumer survey data, SPSS version 25 software was used for descriptive analyses. The khi2 statistical test at the 5% threshold was used to determine the link between certain variables.
3. Results and Discussion
3.1. Results
The distribution of FBI cases over the last five (5) years 2019 to 2023 and per hospital in the three (3) major hospitals in Niamey city is shown in Table 1, which shows that 38.20% of the recorded cases in the year 2019 is the highest number of FBI cases over the last five years. On the other hand, the year 2021 has the fewest recorded FBI cases (7.87%) of cases. It should also be noted that only one death was observed during this period in 2021 and this case was the one recorded in 2021 at the Amirou Boubacar National Hospital. In addition, Table 1 shows that the HNN recorded the highest cases of FBI (89.88%) among the three hospitals in the city.
Table 1. Summary of FBI cases recorded by the hospital and per year in the three (3) major hospitals of Niamey city.

Hospitals Years

Niamey National Hospital

Amirou Boubacar National Hospital

General Reference Hospital

Total FBI

2019

29

32.58%

3

3.38%

2

2.25%

34

38.20%

2020

23

25.84%

0

0

2

2.25%

25

28.09%

2021

6

6.75%

1

1.12%

0

0

7

7.85%

2022

10

11.23%

1

1.12%

0

0

11

12.16%

2023

12

13.48%

NA

NA

0

0

12

13.70%

Total

80

89.88%

5

5.61%

4

4.51%

89

100.00%

NA: Not available
The socio-demographic characteristics of respondents are shown in Table 2 with 69% male and 31% female. Also, it is observed that 72% of the respondents are aged 15 years or more, 11% are aged 10-15 years and 17% are aged 5 to 9 years. The analysis of the level of education shows that 16% of the study population did not attend school and 2% attended Koranic school. Of the 82% of people who attended modern school, 26% have a higher level of education, 21% have a secondary level (6% high school and 15% middle school) and 35% have a primary level of education.
Table 2. Sociodemographic characteristics of respondents.

Variables

Categories

Amount

Frequencies (%)

Sex

Male

69

69

Female

31

31

Age class

5-9 years

17

17

10-15 years

11

11

≥15 years

72

72

Gender

Married

38

38

Divorce

1

1

Widow

4

4

Single

57

57

Ethnic (language)

Hausa

73

73

Zarma

26

26

Songhai

1

1

Tuareg

0

0

Fulani

0

0

others

0

0

Education level

Primary level

35

35

Secondary level 1

15

15

Secondary level 2

6

6

Tertiary level

26

26

Islamic studies

2

2

analphabet

16

16

The characteristics of FBIs collected from consumers (Table 3) showing 67% of respondents believe they were contaminated following the consumption of foods of animal origin and 33% believe that the disorders were caused by the consumption of foods of plant origin. In addition, 66% of consumers surveyed say that the incriminated foods were prepared at home and only 1% were bought at a restaurant. Furthermore, the failure to use adequate preservation techniques (49%) is one of the causes of the occurrence of these FBIs. Furthermore, 92% of consumer victims never had to consult a doctor when the disorders occurred and 47% say they have been victims of these types of symptoms more than twice in their life. The analysis of the symptoms also shows that 94% refer to acute FBI and 6% present chronic FBI symptoms. For the management of these FBIs, 56% of respondents resorted to medical treatment (mostly by self-medication). 21% chose the traditional treatment option based on the use of local medicinal plants. Then, the cost of treatment is perceived as low by 57% of respondents. 29% used leaves decoctions freely for the cure.
Table 3. Presented FBIs characteristics among consumers.

Variables

Modalities

Frequencies (%)

Types of Foods Incriminated

Products of Plant Origin

33

Products of Animal Origin

67

Food Source Responsible for FBI

Purchased on the road/street

33

At the restaurant

1

Homemade

66

Food preservation method used

Refrigeration

27

Warm

24

none

49

Medical follow-up when FBI occurs

Yes

8

No

92

Hospitalization for FBI

Yes

1

No

99

Frequency of occurrence Level of severity

Once

32

Twice

21

More than twice

47

Typology of food poisoning

Severe

5

Moderate

81

Simple

14

Type of FBI treatment

Acute

94

Chronic

6

Cost of treatment medical follow-up when FBI occurs

Medical treatment (Medicines)

56

Traditional treatment (Medicinal plant)

21

No treatment

23

Hospitalization for FBI

High

5

Medium

9

Low

57

Free

29

Distribution of information following the occurrence of FBI according to the food group consumed (Table 4). This shows that regardless of the number of times the individual surveyed suffered from FBI. The category of foods of animal origin remains the most incriminated in the FBI. However, there is no significant relationship (P = 0.26) between the occurrence of FBI and the type of food consumed.
Table 4. Occurrence of FBIs according to the food group consumed.

Number of times FBI

Types of food responsible for FBI

Total

P. value

Products of animal origin

Products of plant origin

On-time

18

14

32

0.26

Two times

16

5

21

More than two times

33

14

47

Total (%)

67

33

100

Table 5 presents the gender frequency of the individuals surveyed according to the FBI treatment used; its results show that 56% of respondents use medical treatment to treat the FBI, including 17% of women and 39% of men. The relationship between gender and the type of treatment used against the FBI is statistically significant (P = 0.019).
Table 5. Distribution of respondents according to type of treatment.

Sex

Treatment used

Total (%)

P. value

Others treatment

Treatment medical

Traditional treatment

Female

3

17

11

31

0.019

Male

20

39

10

69

Total (%)

23

56

21

100

Table 6 presents the distribution of the FBI typology according to the food group responsible for the FBI. It shows that among the respondents, 94% suffered from acute FBI and animal food products origin seemed to be responsible for the onset of the disorders (64%). In addition, Table 6 shows that 59% of the cases of FBI are recorded in the three hospitals of moderate FBI and are caused by food products of animal origin. There was a significant correlation between the type of FBI and the type of food consumed (p = 0.02).
Table 6. FBI typology and Severity according to the food group responsible for it.

Variables

Modality

Type of Food responsible for FBI

Total

P. value

Products of animal origin

Products of plant origin

Type of FBI

Acute

64%

30%

94%

0.36

Chronic

3%

3%

6%

Severity of FBI

Severe

3%

2%

5%

0.02

Moderate

59%

22%

81%

Simple

5%

9%

14%

Total

67%

33%

100%

Table 7 presents the severity of FBI, treatment type, and cost. It shows that 81% of these respondents had moderate FBI, and 56% used medical treatment to treat it. The relationship between the treatment and the FBI's severity is significant (P = 0.036).
Table 7. Cost and type of treatment according to severity of FBI.

Variables

Modalities

Severity of FBI

Total (%)

P. value

Grave

Moderate

Simple

Other treatment

0

16

7

23

0.036

Treatment use

Treatment medical

5

46

5

56

Traditional treatment

0

19

2

21

Total (%)

5

81

14

100

Cost of treatment

High

5

0

0

5

0.000

weak

0

50

7

57

free

0

22

7

29

Middle

0

9

0

9

3.2. Discussion
The inventory of the prevalence of FBI in the three (3) major hospitals of Niamey city shows that among the three hospitals in which epidemiological data on FBI were recorded; the National Hospital of Niamey recorded the highest rate of FBI with 89.88% of cases followed by the Amirou Boubacar National Hospital and the General Reference Hospital with the rates of 5.6% and 4.5% of cases respectively. This could be explained by the fact that some cases of FBI received at the Amirou Boubacar Diallo National Hospital in Niamey during this period were transferred to the Niamey National Hospital for better management to avoid the spread of epidemics of these symptomatologic cases. It should also be noted that 2019 is the year that recorded the most cases of FBI among the five (5) years included in the study with 38.2% of cases. There were 28.08% of cases in 2020, 7.87% of cases in 2021, 12.36% of cases in 2022 and 13.49% of cases in 2023. In addition, it was revealed that the rate and cases of FBI have decreased over the years and this could be explained by the fact that the population is increasingly interested in self-medication when the FBI occurs . For the consumer survey, it emerges from the analysis of the results on the socio-demographic characteristics that male respondents are the most affected by FBI with a rate of 69% of the study population. This can be explained by the fact that male individuals most often resort to eating outside the home during working hours, unlike female individuals . Indeed, the study has shown that male individuals aged 15 years old and above are those who have been most affected by the FBI.
In addition, foods of animal origin are the most incriminated in the occurrence of FBI (67%) than those of plant origin. These are mainly milk, meat, fish, and eggs. Also, these foods are most often displayed in public places without respecting hygiene standards for selling and storing these foodstuffs. Furthermore, it was also noted that respondents favor medical treatment over traditional treatment of FBI even though the majority of them do not go to the health center to treat FBI (92%). This situation could be explained by the availability of medications at outpatient pharmacy depots throughout the city of Niamey. Also, people rely on the prescriptions of these street vendors without any fear of the underlying repercussions . As for the cost of treatment, the results of the analysis of the survey data showed that the low-cost treatment is the most followed by the study population. This could be explained by the fact that the treatment is interrupted by the person concerned as soon as the symptoms of FBI disappear and the patient considers himself healed.
This study shows that the relationship between the severity of FBI and the type of food responsible for FBI is significant (P=0.02), and 81% of the people surveyed suffered from moderate FBI with 59% of cases caused by products and foods of animal origin. This could be explained by the fact that products of animal origin are the most incriminated in the occurrence of FBI. These results are similar to those of Hachemi et al. in a study in Blida Algeria which showed that the most frequently incriminated foods were foods of animal origin including eggs, meat, etc. There is a significant correlation (P=0.036) between the respondents' treatment and the FBI's severity. Thus, it is noted that the more severe the FBI, the more people use medical treatment to treat themselves . In addition, it was found that all individuals who suffered from severe FBI received high-cost treatment. On the other hand, those who suffered from moderate FBI received medium or low-cost treatment. It was noted that some of the respondents do not use any treatment and wait for the symptoms to dissipate. There is also a highly significant relationship between the severity and the cost of FBI treatment (P = 0.00). This could be explained by the fact that the symptoms of severe FBI are more worrying and dangerous for people's health and that their treatment is much more expensive .
4. Conclusion
Microbiological quality is one of the key parameters of food quality. Thus, it is vital to research, identify, and evaluate all the risks and dangers that microorganisms present in the food to ensure its hygienic quality and the consumer's health. The majority of the people surveyed in the three (3) major hospitals of Niamey city are male than female. It can be concluded that the distribution of FBI cases varies with decreasing numbers of FBI cases from 2019 to 2023. The consumer survey showed that the population of Niamey does not attach importance to visiting hospitals to treat food poisoning (1%). The most incriminated foods in the occurrence of these FBIs are foods of animal origin rather than foods of plant origin. More than the half of interviewers; widely, used medical treatment to manage the FBI. However, about one-quarter of the population does not treat the FBI rather than naturally get healed. Therefore, it is needed to extend this study on the established food enterprises in the area to quality control of their ready to eat foods in the chain of distribution.
Abbreviations

FBI

Foodborne Illnesses

HNN

National Hospital of Niamey

HGR

General Reference Hospital of Niamey

Author Contributions
Roukaya Abdou Souley: Conceptualization, Formal Analysis, Investigation, Methodology, Supervision, Writing – original draft
Issoufou Amadou: Formal Analysis, Resources, Software, Writing – review & editing
Halima Oumarou Diadie: Investigation, Supervision
Abdourahamane Balla: Conceptualization, Investigation, Methodology
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Hassoun, A., Jagtap, S., Garcia-Garcia, G., Trollman, H., Pateiro, M., Lorenzo, J. M., Trif, M., Rusu, A. V., Aadil, R. M., Šimat, V. and Cropotova, J. (2023). Food quality 4.0: From traditional approaches to digitalized automated analysis. Journal of Food Engineering, 337, 111216.
[2] Bai, Y., & Masters, W. A. (2024). Complex dynamics between food prices, income and dietary quality in sub-Saharan Africa. Nature Food, 5(3), 196–197.
[3] Izah, S. C., Etebu, E. N., Odubo, T. C., Aigberua, A. O., & Iniamagha, I. (2022). A meta-analysis of microbial contaminants in selected ready-to-eat foods in Bayelsa State, Nigeria: Public Health implications and risk-reduction strategies. Hygiene and Environmental Health Advances, 4, 100017.
[4] Peng, X. Y., Wu, J. T., Shao, C. L., Li, Z. Y., Chen, M., & Wang, C. Y. (2021). Co-culture: stimulate the metabolic potential and explore the molecular diversity of natural products from microorganisms. Marine Life Science & Technology, 1-12.
[5] Feng, L., Tang, N., Liu, R., Gong, M., Wang, Z., Guo, Y., Wang, Y., Zhang, Y. and Chang, M. (2021). The relationship between flavor formation, lipid metabolism, and microorganisms in fermented fish products. Food & Function, 12(13), 5685-5702.
[6] Lee, H., & Yoon, Y. (2021). Etiological agents implicated in foodborne illness worldwide. Food Science of Animal Resources, 41(1), 1.
[7] White, A. E., Tillman, A. R., Hedberg, C., Bruce, B. B., Batz, M., Seys, S. A., Dewey-Mattia, D., Bazaco, M. C. & Walter, E. S. (2022). Foodborne illness outbreaks reported to national surveillance, United States, 2009–2018. Emerging Infectious Diseases, 28(6), 1117.
[8] WHO (2024). Food safety. 4 October 2024.
[9] Naïtali, M., Guillier, L. et Dubois-Brissonnet, F. (2017). Risques microbiologiques alimentaires in Sciences & Techniques Agroalimentaires (STAA). Éditions, Lavoisier, Paris. ISBN: 978-2-7430-2106-1.
[10] Flynn, K., Villarreal, B. P., Barranco, A., Belc, N., Björnsdóttir, B., Fusco, V., Rainieri, S., Smaradottir, S. E., Smeu, I., Teixeira, P. and Jörundsdóttir, H. Ó. (2019). An introduction to current food safety needs. Trends in Food Science & Technology, 84, 1-3.
[11] Mengistu, D. A., Belami, D. D., Tefera, A. A., & Alemeshet Asefa, Y. (2022). Bacteriological quality and public health risk of ready-to-eat foods in developing countries: systematic review and meta analysis. Microbiology Insights, 15, 11786361221113916.
[12] Rahimisadegh, R., Sharifi, N., Jahromi, V. K., Zahedi, R., Rostayee, Z., & Asadi, R. (2022). Self-medication practices and their characteristics among Iranian university students. BMC Pharmacology and Toxicology, 23(1), 60.
[13] Al-Worafi, Y. M. (2020). Self-medication. In Drug safety in developing countries (pp. 73-86). Academic Press.
[14] Gesteiro, E., García-Carro, A., Aparicio-Ugarriza, R., & González-Gross, M. (2022). Eating out of home: influence on nutrition, health, and policies: a scoping review. Nutrients, 14(6), 1265.
[15] Bertholom, C. (2011). Investigation d’une toxi-infection alimentaire collective et prises de décision. Option/Bio, 22(459), 14–15.
[16] Ferrand, K. B. A., & Jérôme, A. N. (2017). Etude D’un Espace Marchand Specialise Dans La Vente De Medicaments De La Rue: L’exemple Du Marche De Roxy A Adjame (Abidjan, Cote d’Ivoire). European Scientific Journal, ESJ, 13(5), 388.
[17] Hachemi, A., Mimoune, N., Boukhechem, S., Zenia, S., Zaidi, S., Ait-Oudhia, K., & Khelef, D. (2023). Cross-Sectional Survey of Sausage Consumers in Algeria: Prevalence and Risk Factors for Development of Food-Borne Illnesses and Antibiotic Use Behavior. International Journal of Bio-resource and Stress Management, 14(2), 220-228.
Cite This Article
  • APA Style

    Souley, R. A., Amadou, I., Diadie, H. O., Balla, A. (2024). Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger. Journal of Food and Nutrition Sciences, 12(6), 302-309. https://doi.org/10.11648/j.jfns.20241206.17

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    ACS Style

    Souley, R. A.; Amadou, I.; Diadie, H. O.; Balla, A. Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger. J. Food Nutr. Sci. 2024, 12(6), 302-309. doi: 10.11648/j.jfns.20241206.17

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    AMA Style

    Souley RA, Amadou I, Diadie HO, Balla A. Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger. J Food Nutr Sci. 2024;12(6):302-309. doi: 10.11648/j.jfns.20241206.17

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  • @article{10.11648/j.jfns.20241206.17,
      author = {Roukaya Abdou Souley and Issoufou Amadou and Halima Oumarou Diadie and Abdourahamane Balla},
      title = {Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger
    },
      journal = {Journal of Food and Nutrition Sciences},
      volume = {12},
      number = {6},
      pages = {302-309},
      doi = {10.11648/j.jfns.20241206.17},
      url = {https://doi.org/10.11648/j.jfns.20241206.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfns.20241206.17},
      abstract = {The risks posed by foodborne microbiological hazards are a concern for human health on a global scale. They are responsible for foodborne illnesses (FBI). The general objective of this study is to analyze the risks associated with microbiological hazards in ready-to-eat foods in Niger. A descriptive retrospective study was conducted in Niamey, Niger. Investigations were carried out at three (3) major hospitals in Niamey city (National Hospital of Niamey (HNN), General Reference Hospital, and the Amirou Boubacar Diallo National Hospital) to collect data on the FBI from 2019 to 2023. Then, a consumer survey was conducted for convenience among hundred (100) people who had been victims of the FBI to collect information on the causes, consequences, and economic impact of the FBI. The results showed that in total, eighty-nine (89) cases of FBI were recorded in the three hospitals during this period, including one (1) death. The National Hospital of Niamey has the largest cases (89.88%). However, the consumer survey noted that 72% of individuals suffering from FBI are over 15 years old. 31% are female and 69% are male. Also, 67% of FBI cases are caused by the consumption of food of animal origin. Medical treatment is the most widely used (56%) by the patients and the cost is considered low. This study can serve as a tool to help develop strategies for preventing health risks related to microbiological hazards in ready-to-eat foods in Niger.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger
    
    AU  - Roukaya Abdou Souley
    AU  - Issoufou Amadou
    AU  - Halima Oumarou Diadie
    AU  - Abdourahamane Balla
    Y1  - 2024/12/19
    PY  - 2024
    N1  - https://doi.org/10.11648/j.jfns.20241206.17
    DO  - 10.11648/j.jfns.20241206.17
    T2  - Journal of Food and Nutrition Sciences
    JF  - Journal of Food and Nutrition Sciences
    JO  - Journal of Food and Nutrition Sciences
    SP  - 302
    EP  - 309
    PB  - Science Publishing Group
    SN  - 2330-7293
    UR  - https://doi.org/10.11648/j.jfns.20241206.17
    AB  - The risks posed by foodborne microbiological hazards are a concern for human health on a global scale. They are responsible for foodborne illnesses (FBI). The general objective of this study is to analyze the risks associated with microbiological hazards in ready-to-eat foods in Niger. A descriptive retrospective study was conducted in Niamey, Niger. Investigations were carried out at three (3) major hospitals in Niamey city (National Hospital of Niamey (HNN), General Reference Hospital, and the Amirou Boubacar Diallo National Hospital) to collect data on the FBI from 2019 to 2023. Then, a consumer survey was conducted for convenience among hundred (100) people who had been victims of the FBI to collect information on the causes, consequences, and economic impact of the FBI. The results showed that in total, eighty-nine (89) cases of FBI were recorded in the three hospitals during this period, including one (1) death. The National Hospital of Niamey has the largest cases (89.88%). However, the consumer survey noted that 72% of individuals suffering from FBI are over 15 years old. 31% are female and 69% are male. Also, 67% of FBI cases are caused by the consumption of food of animal origin. Medical treatment is the most widely used (56%) by the patients and the cost is considered low. This study can serve as a tool to help develop strategies for preventing health risks related to microbiological hazards in ready-to-eat foods in Niger.
    
    VL  - 12
    IS  - 6
    ER  - 

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Author Information
  • Hygiene, Food and Nutritional Sciences Research Laboratory, Department of Crops Production, Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger

  • Laboratory of Food Sciences and Technologies, Department of Crops Production, Faculty of Agronomy and Environmental Sciences, Dan Dicko Dankoulodo University of Maradi, Maradi, Niger

  • Hygiene, Food and Nutritional Sciences Research Laboratory, Department of Crops Production, Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger

  • Hygiene, Food and Nutritional Sciences Research Laboratory, Department of Crops Production, Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger

  • Abstract
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    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Results and Discussion
    4. 4. Conclusion
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