BMC Public Health

, 18:124 | Cite as

Long lasting insecticidal net use and its associated factors in Limmu Seka District, South West Ethiopia

  • Mitiku Teshome Hambisa
  • Tessema Debela
  • Yadeta Dessie
  • Tesfaye Gobena
Open Access
Research article
Part of the following topical collections:
  1. Infectious Disease epidemiology

Abstract

Background

Many countries in sub-Saharan Africa, including Ethiopia, are focusing on the distribution of Long Lasting Insecticidal Nets (LLINs) to combat malaria. However, utilization of the LLIN is low when compared with LLIN possession because of various factors. This study was conducted to measure the actual LLIN usage and identify factors associated with its utilization in Limmu Seka District, South West Ethiopia.

Methods

A community based cross-sectional survey was conducted among 830 households from December 25, 2011 to February 29, 2012.

Results

A total of 830 households were selected by stratified systematic sampling and surveyed. Ninety percent of those surveyed owned LLINs and 68.3% reported that someone had slept under the net on the night prior to the survey. The factors associated with LLIN usage were knowledge of the mode of malaria transmission (AOR; 0.086, 95% CI 0.03, 0.24), the preferred conical shapes of the LLIN (AOR; 1.6, 95% CI 1.31, 4.1), receiving information about their use from Health Extension Workers (HEWs) (AOR; 2.4, 95% CI 1.5, 3.9), hearing media campaigns (AOR; 3.2 95% CI 3.5, 9.2), education at a health facility (AOR; 2 95% CI 1.5, 3.9) or having a family size of three or less (AOR; 2.1, 95% CI 1.3, 3.5).

Conclusion

Although ownership of Long Lasting Insecticidal Nets was high at 90%, the actual usage of LLIN was low, and not all family members were protected. Promoting the usage of LLINs utilization by those at most risk, especially the conical shaped ones, through intensified health education using HEWs and mass media campaigns at all health facilities, schools and communities will improve LLIN utilization.

Keywords

LLIN Malaria Ethiopia 

Abbreviations

ANC

Antenatal care

AOR

Adjusted Odds ratio

FMOH

Federal Ministry of Health of Ethiopia

HEP

Health Extension Program

HEWs

Health Extension Workers

IHRREC

Institutional Health Research Review Ethics Committee

LLINs

Long lasting insecticidal nets

OR

Odds ratio

WHO

World Health Organization

Background

The World Health Organization (WHO) has reported that half of the world’s populations was at risk of malaria at the start of 2016 and in 2015 alone, there were 212 million malaria cases and 429,000 deaths worldwide [1]. Populations living in sub-Saharan Africa still carry the highest malaria burden according to the 2016 World Malaria Report. About 90% of cases and 92% of all malaria deaths are estimated to occur in Africa [1]. Children under 5 years of age (86%) and pregnant women were most severely affected [1]. In addition, 125 million pregnant women are exposed to malaria each year of which more than 30 million live in the African region [2]. Consequently, nearly 10,000 women and 200,000 children die annually in African region alone [3].

Malaria is one of the leading causes of morbidity and mortality in Ethiopia. According to the Ethiopian Federal Ministry of Health’s (FMOH)-‘Health and Health Related Indicators’ [4], malaria is second among the top 10 causes of morbidity, the third cause for hospital admission, and the third cause for mortality. Over three million cases of malaria (both confirmed and clinically diagnosed) were reported in Ethiopia in 2012 [4]. It is the major public health problem in terms of morbidity and burden on health care facilities, accounting for an increasing percentage of outpatient consultations in most health facilities in the Oromia region [5].

There is strong evidence that LLINs can provide a substantial degree of protection against mortality and morbidity from malaria especially when used by a high proportion of the population. This can be achieved through LLIN use causing a reduction in either or both of the larvae and adult mosquitoes [6]. Among malaria control and prevention activities, the use of LLINs can reduce up to 90% of malaria transmission [7].

Ethiopia launched a control program to scale up efforts and relieve the malaria burden in the third quarter of 2005 [6]. The FMOH identified four major areas of intervention for malaria control which includes: disease management, selective vector control, epidemic prevention and control, prevention and control of malaria in pregnancy [6]. Long Lasting Insecticidal Nets ownership will have little impact on the burden of malaria unless people sleep under the net and many large-scale programs have encountered challenges in the consistent use of LLINs [8]. Although an increasing number of studies have documented LLINs ownership, only a few studies have systematically investigated the actual usage of LLINs which has a greater influence on malaria morbidity trends [9]. Consistent use of LLIN can reduce malaria mortality by 20% and morbidity by 50% in children less than 5 years of age. When combined with early diagnosis and treatment, it can reduce malaria mortality by over 50% [10]. However, there is little documented research as to the factors that promote LLIN usage, as some of the previous studies were not focused on the utilization of the net. Ensuring healthy lives and well-being for all is a key Sustainable Development Goal (SDG), thus the findings from this study can provide an insight into malaria control for health policy and programs, and guide further research. The purpose of this study was to assess LLIN use and its associated factors in Limmu Seka District, South West Ethiopia.

Methods

Study setting

The study was conducted in Limmu Seka District, Jimma Zone, South Western Ethiopia from December 25, 2011 to February 29, 2012. The study design was a community based cross-sectional study. We used a single population proportion formula to determine the sample size. It was computed by taking the proportion of households who were utilizing their LLINs (56.4%) as documented in the annual reports of the Jimma Zone Health Department in the year 2010 [11] and considering a 95% confidence level, 5% margin of error, design effect of 2 and 10% non- response rate. The final sample size was 830 households. From 38 kebeles (the smallest administrative region in Ethiopia) in the district, 12 kebeles were selected randomly by stratified sampling and 830 households (study participants) were selected by a systematic random sampling method after proportional allocation of the sample to each kebele.

Data collection

Data were collected using structured questionnaires adapted from the literature [5, 12, 13, 14] and the 2007 Malaria Indicators Survey (MIS) questionnaires used in Ethiopia. Data collection tools were pre-tested on 30 households. Questionnaires were translated into the local language, Afan Oromo.

Variables

The main outcome variable for the study was the usage of LLINs. Independent variables included, knowledge-related factors (the perceived cause of malaria, its transmissions, prevention and misconceptions about LLINs use), socio-demographic factors (educational status of the head of the household, family size, occupation, sex, and religion), LLINs characteristics (net’s age, shape and colour preference), and inter-household factors (conditions of the house, number of rooms, family size).

Data analysis

We analyzed the data using the Statistical Package for Social Science (SPSS) Version 16 for Windows. Odds ratio and 95% confidence intervals were used to determine the associations between independent variables and the outcome variable. Multivariate logistic regression analysis was used to assess the effect of independent variables on the dependent variable.

Ethical considerations

We obtained a signed written consent from the participants before commencement of the interview. Ethical approval was obtained from Haramaya University, College of Health and Medical Sciences, Institutional Health Research Review Ethics Committee (IHRREC). The data were only accessed by investigators, and records were kept confidential.

Results

Socio-demographic characteristics

A total of 830 households were surveyed resulting in a response rate of 100%. Of 830 households included in the study, 74% (614) of the respondents were heads of the household and the remaining were other household members. The median age of the respondent was 32 years. Family size ranged from 1 to 14, with a mean of 5.63 persons per household. The surveyed households had a total of 4673 family members of which 10.7% (498) were children under 5 years and 3.8% (177) were pregnant women. Most of the respondents (78.4%) were farmers by occupation and almost half of them had not attended formal education (Table 1).
Table 1

Socio-demographic characteristics of the respondents on LLINs utilization in Limmu Seka District, South West Ethiopia, April, 2012

Variables

Frequency (n = 830)

Percentage

Sex of respondent

 Male

512

61.7

 Female

318

38.3

Religion of respondent

 Muslim

740

89.1

 Orthodox

66

8

 Protestant

24

2.9

Occupation of respondents

 Farmer

651

78.4

 Merchant

79

9.5

 House wife

48

5.8

 Governmental employer

46

5.5

 Others

7

0.7

Ethnicity of the respondent

 Oromo

753

90.7

 Amhara

31

3.7

 Keficho

18

2.2

 Gurage

17

2

 Others (Dawuro, Yems)

11

1.4

Educational status of the respondent

 Illiterate

411

49.5

 Read and write

166

20

 Grade 1–4

99

11.9

 Grade 5–8

86

10.4

 Grade9–10

28

3.4

 Grade 11–12

14

1.7

 Grade 12+

26

3.1

Malaria related knowledge and perception

Almost all of the participants (99.8%) reported they had heard of malaria as a health problem. About 67 % (553) of the participants answered that mosquito bites were the cause of malaria while other common answers included close contact with a malaria patient, eating or drinking with a patient and cold weather. Similarly, 91.2% of the study households recognized fever as a symptom of malaria, while the rest of the respondents associated malaria with body pains, headache, loss of appetite, chills and shivering, nausea and vomiting. Two-thirds (67%) of the respondents believed that malaria can cause death, whereas the rest did not have such beliefs. The majority of participants (89.6%) believed that malaria is a preventable disease. The most commonly mentioned preventive strategies by the respondents were eliminating mosquito breeding sites 76.9% (572) and impregnated bed nets use 92.3% (686).

Possession and utilization of bed net

The average number of bed nets per household was 0.9 while the average household family size was 5.63. Approximately 90% (745) of households owned at least one LLIN. Almost all had complete knowledge about the proper use of LLINs. Out of the 745 households that owned LLINs, 68.3% (509) reported that someone had slept under the LLIN the prior night. Children under 5 years of age had greater utilization of LLINs than pregnant mothers (59.2% vs 52.5%, P = 0.1218). Only half of the study participants reported using LLINs throughout the year (Table 2). There was a wide geographical variation in the utilization of LLINs. A higher proportions of lowlanders were utilizing the net as compared with the highland and midland populations (Fig. 1).
Table 2

Long Lasting Insecticidal Nets possession and utilization in Limmu Seka District, South Western Ethiopia, April, 2012

Variables

Frequency (n = 830)

Percentage

LLINs

 possession

  Yes

745

89.8

  No

85

10.2

 utilization

  Yes

509

68.3

  No

236

31.7

Who uses the bed net

 Under fives (n = 498)

295

59.2

 Pregnant (n = 177)

93

52.5

 All family (n = 4673)

506

12.6

Frequency of LLINs use (n = 745)

 Always

274

53.8

 Some times

32

6.3

 Seasonal

193

37.9

 Occasional

10

2

Seasonal use of LLINs (n = 745)

 Rainy season

37

7.3

 After rainy season

35

6.9

 Dry season

164

32.2

 All over the year

273

53.6

Reason for not using LLINs (n = 236)

 causes heat, discomfort

82

30.5

 Lack of information

154

65.5

NB Multiple responses are possible (for malaria preventive measures)

Fig. 1

LLINs utilization according to land topography in Limmu Seka District, Southwest Ethiopia, April, 2012

Factors associated with bed net utilization

At first different independent variables were considered for bivariate analysis. Finally, we took variables which were significant at p ≤ 0.05 to be the final model. In the multivariate analysis, knowledge about the mode of malaria transmission, the conical shape preference of LLINs (conical), small family size, residing in a household with indoor residual spraying (IRS), having information from the mass media, HEWs and/or health facilities were strongly associated with LLINs utilization. Households who did not know the modes of malaria transmission were 91% less likely to utilize nets when compared to those who knew about malaria transmission through mosquito bite (AOR; 0.086, 95% CI 0.03, 0.24). However, households that had received information about the nets from HEWs, the media or a health facility were 2.6, 3.2 and 2 times more likely to have used a net respectively when compared to non-utilizing households (Table 2). Similarly, respondents residing in sprayed houses (AOR; 2.4, 95% CI 1.5, 3.9), who had a family size of three or less (AOR; 2.1, 95% CI 1.3, 3.5) and preferred conical shaped LLINs (conical) (AOR; 1.6, 95% CI 1.31, 4.1) were significantly associated with LLIN usage (Table 3).
Table 3

Multivariate analysis showing factors associated with LLINs utilization among households in Limmu Seka District, South West Ethiopia, April, 2012

Variables

LLINs utilization

95%CI

Yes (%)

No (%)

COR (95%CI)

AOR (95%CI)

Educational status

 Illiterate

149 (38)

243 (62)

0.20 (0.38, 0.73)

0.86 (0.57, 1.29)

 Literate

266 (75.4)

87 (24.6)

1.0

1.0

Information sources

 

 Media

  No

49 (16.8)

242 (83.2)

1.0

1.0

  Yes

218 (53.4)

190 (46.6)

5.7 (3.8, 8.3)

3.2 (3.5, 9.2)*

 HEWs

  No

66 (42.9)

88 (57.1)

1.0

1.0

  Yes

118 (22.6)

403 (77.4)

2.6 (1.8, 3.7)

2.4 (1.5, 3.9)*

 Health facility

  No

425 (71.4)

170 (28.6)

1.0

1.0

  Yes

65 (82.3)

14 (17.7)

1.9 (1.01, 3.4)

2 (1.6, 3.8)*

Malaria transmission

 

 Mosquito bite

147 (23.2)

486 (76.8)

1.0

1.0

 Others modes

26 (78.8)

7 (21.2)

0.08 (0.04, 0.19)

0.086 (0.03, 0.24)*

 Residing in sprayed household

  No

163 (59.7)

110 (40.3)

1.0

1.0

  Yes

330 (85.7)

55 (14.3)

4 (2.8, 5.8)

2.4 (1.5, 3.9)*

 Shape preference

  Rectangular

120 (61.2)

76 (38.8)

1.0

1.0

  Conical

242 (80.7)

58 (19.3)

2.45 (1.6, 3.8)

1.6 (1.31, 4.1)*

Family size

  ≤ 3

269 (71.7)

106 (28.3)

1.4 (1.1, 1.9)

2.1 (1.3, 3.5)*

  > 3

240 (64.9)

130 (35.1)

1.0

1.0

Children Presence in household

 No

173 (62.9)

102 (37.1)

1.0

1.0

 Yes

336 (71.5)

134 (28.5)

1.5 (1.07, 2.03)

1.07 (0.71, 1.64)

* Statistically significant at p-value < 0.05

Discussion

In this large scale study of 830 households, Long Lasting Insecticidal Net utilization was associated with an understanding of mode of malaria transmission, conical shaped preference of LLINs, lower family size, residing in sprayed houses, and information sourced from the mass media, HEWs or health facilities. The study has revealed 90% of households owned at least one bed net, but only 68.3% of them used their LLIN on the night before the survey. Another study conducted in three regional states of Ethiopia reported similar findings [12]. The assumption that increasing ownership or accessibility will lead to automatic LLIN utilization is incorrect in many cases [12]. Previous studies in a rural district of Ethiopia and in selected urban and rural areas of Oromia and Amhara regions have also revealed that not all nets owned by the households were being utilized properly [13]. On the other hand, LLIN utilization in this study was higher than a study conducted in Kersa, Eastern Ethiopia in which 33.5% of the households used at least one LLIN the night before the survey [14]. This might be because the majority of the population used the LLIN for other purposes such as wearing it as a headband, undershirt and different types of clothing possibly due to low socio-economic status [8]. Study participants who do not know how malaria is transmitted were not likely utilize nets when compared to those who know about malaria transmission through mosquito bite. Similarly, a study conducted in Wonago District, Southern Ethiopia found the knowledge that LLINs prevent mosquito bites was significantly associated with utilization of LLINs by households and under-five children [5]. This suggests that for proper utilization it is important to know the mode of malaria transmission [5].

The shape of LLINs had a considerable influence on utilization. In the present study, the conical shaped LLIN was strongly associated with LLIN usage. In a similar way, in a study conducted in Oromia and Amhara Regional States of Ethiopia, conical LLINs were more likely to have been used the previous night compared with rectangular LLINs (AOR; 2.27, 95% CI 1.10–4.68) [15]. Previous studies analyzed from Ethiopia and Kenya also reflect this finding [16, 17]. On the other hand, in a study conducted in the Eastern part of the country the blue colour and cylindrical shape LLINs were more preferable than the white and rectangular ones [18]. In our case, the preference might be due to the fact that conical LLINs use a single point for hanging which seems comfortable to use.

There are still a lot of misconceptions regarding knowledge about causes and transmission of malaria in this community. For instance, in this study the role of mosquitoes in malaria transmission was recognized only by 67% of respondents which was lower than the study report in nine malaria prone districts of Ethiopia in which 81% recognized malaria transmission by mosquitoes [19]. Low educational level, external factors of the households participating in health education, less exposure to education that Health Extension Workers provide and less access to health information may be possible reasons [9].

The National Malaria Control and Prevention Strategy recommends the use of LLINs all year round but with high emphasis on peak transmission season [20], while in this study only half of the study participants were using LLINs all year round. This is comparable with the findings from Tigray in which 44% used their LLINs during rainy season, 48.7% after the rainy season and 18.2% all year round [17]. Lack of formal education and information may be a possible explanation. This study has also revealed low levels of LLIN use in pregnant mothers (50.8%) when compared with the under five-year age group (78.1%). This is in contrast with a study conducted in Kenya where mothers used LLINs three times more than children (30% of the mothers and 11% of the children used LLIN). The scenario here is different than that in Kenyan as pregnant women as pregnant women in Kenya tend to receive nets through routine antenatal care (ANC) services [21].

In our study, households who were informed by Health Extension Workers (HEWs) about LLINs were 2.6 times more likely to sleep under a net (AOR; 2.6, 95% CI 1.8, 3.7) when compared to non-user households. Ethiopia has strengthened the health system since 2005 with the establishment and expansion of the Health Extension Program (HEP), allowing closer monitoring of epidemic-precipitating factors at the local level. In this regard, peripheral health services such as HEWs, are vital in preventive and control measures as well as for early detection of malaria epidemics [20]. This finding also indicates that HEWs fulfill important preventive role: they know the socio-cultural background of the community, they teach in a language that the community can understand, they focus on behavioral change communication and they are located in health posts in rural. Families who were informed about the LLINs by a health facility were two times more likely to have used a bed net compared with non-user households (Table 3). Similarly, a study conducted in Nigeria found that the availability of a health facility was a predictor of LLIN utilization [22]. This might be due to the health facilities provided morning health education on the top ten diseases for their patients and clients. It is also known that health facilities are responsible for LLIN distribution and teaching the community about its utilization through HEWs.

Households for whom the media was their source of information about LLINs were also 3.2 times more likely to utilize a net when compared with non-utilizers (Table 3). A similar study assessing the impact of a mass media campaign on bed net use in Cameroon provided strong evidence for the role of mass media communication in encouraging net use [23]. This result also supports mass media communication interventions in support of malaria control strategies such as LLINs [23].

Households having a family size of three or less (AOR; 2.1, 95% CI 1.3, 3.5) were significantly associated with LLIN utilization (Table 3). This might be due to the fact that there is no separate bedroom in rural Ethiopia and the majority of the households owned one LLIN (the average number of bed nets per household in this study was 0.9 while the average household family size was 5.63) so in a family of three, a couple and young child can sleep on one bed. This is supported by a study conducted elsewhere in the country in which the availability of a separate bedroom and possession of two or more LLIN significantly increased LLIN utilization by households and under-five children [5]. In addition, a study conducted in Eastern Nigeria showed that, parents with a family size of less than four used LLIN more than those who had large families [24].

Residing in sprayed houses (AOR; 2.4 95% CI 1.5, 3.9) was strongly associated with LLINs utilization. In the same way, a study conducted in 17 sub-Saharan African countries showed that, living in households with both LLINs and IRS (indoor residual spraying) was associated with a significant reduction of malaria morbidity and mortality [25]. This could be due to the community’s exposure to different malaria prevention and control strategies including LLIN and IRS so that they have had more education. Some other variables for non-use of LLIN such as net age, religion and ethnicity that were found as significant in other studies were not found to be associated with LLIN utilization in this study.

The study had some limitations: There may be recall bias, as people may not accurately remember who slept under the net the previous night and there was no other way of checking. LLIN use in the community is also prone to social desirability bias as the community tends to report socially acceptable behavior and deny socially stigmatized behavior.

Conclusion

This study found that Long Lasting Insecticidal Net utilization was low compared with its possession. Its utilization was associated with the knowledge of modes of malaria transmission, conical shape preference of LLINs, lower family size, residing in a sprayed household, and having information about LLIN from mass media, HEWs or health facilities. Promoting LLINs utilization, especially the more convenient conical shaped one, through intensified health education and mass media campaigns at all health facilities, schools and communities will improve LLIN utilization.

Notes

Acknowledgements

We are grateful to Haramaya University for financially supporting this research. Our special thanks also go to all supervisors, data collectors and the study participants for their co-operation during data collection. We thank Dorothy L. Southern for providing scientific writing advice and critically reviewing the manuscript for publication. We also thank Nicole Mohajer for her support in editing the English language of the final manuscript.

Funding

This research was financially supported by Haramaya University. The funding body was not involved in the design, analysis, writing and publication of this study.

Availability of data and materials

The datasets during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

MTH has designed the study, participated in drafting the manuscript, prepared and revised the manuscript critically for publication. TD has designed the study, supervised data collection, and performed the statistical analysis. YD participated in the designing of the study, was involved in the interpretation of data and has participated in drafting the manuscript. TG participated in designing of the study and was involved in the interpretation of data, drafted and critically revised the manuscript for publication. All authors approved the final manuscript for publication.

Authors’ information

Mitiku Teshome Hambisa (MPH Epidemiologist): Lecturer and researcher, at Haramaya University School of Public Health. He was Research and Publication Office Coordinator of College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Currently he is a PhD student at the University Of Newcastle, Australia.

Tessema Debela (MPHE): Research officer at Oromia Regional Health Bureau (ORHB), Addis Ababa, Ethiopia.

He is a Research officer in ORHB, Public Health Emergency Management (PHEM) and Health research team.

Dr. Yadeta Dessie (PhD): Assistant Professor of Public Health and Researcher, Haramaya University School of Public Health. He is Chief Executive Director (CED) of College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Dr. Tesfaye Gobena (PhD): Associate Professor and Researcher, at Haramaya University Department of Environmental Health Sciences, Harar, Ethiopia. He is Chief Academic and Research Director of the College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Ethics approval and consent to participate

Ethical approval was obtained from Haramaya University, College of Health and Medical Sciences, Institutional Health Research Review Ethics Committee (IHRREC).Written consent was also obtained from the participants before commencement of any data collection (interview). The data were only accessed by investigators and all records were kept confidential.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.
    WHO. World malaria report. Geneva: World Health Organization; 2016.Google Scholar
  2. 2.
    Manyando C, Kayentao K, D’Alessandro U, Okafor HU, Juma E, Hamed K. A systematic review of the safety and efficacy of artemether-lumefantrine against uncomplicated plasmodium falciparum malaria during pregnancy. BMC Malaria Journal. 2012;11:141.CrossRefGoogle Scholar
  3. 3.
    Dellicour S, Tatem AJ, Guerra CA, Snow RW, Kuile FO. Quantifying the number of pregnancies at risk of malaria in 2007: a demographic study. PLoS Med. 2010;7(1):e1000221.CrossRefPubMedPubMedCentralGoogle Scholar
  4. 4.
    FMoH: Health and Health Related Indicators,. In. Addis Ababa, Ethiopia: Federal Ministry of Health of Ethiopia; 2012.Google Scholar
  5. 5.
    Dagne G, Deressa W. Knowledge and utilization of insecticide treated mosquito nets among freely supplied households in Wonago District, southern Ethiopia. Ethiop J Health Dev. 2008;22(1):34–41.CrossRefGoogle Scholar
  6. 6.
    FMOH. National five year strategic plan for malaria prevention and control in Ethiopia 2006–2010. Addis Ababa: Federal Ministry of Heallth; 2006.Google Scholar
  7. 7.
    Lengel C. Insecticide-treated bed nets and curtains for preventing malaria. Cochrane Database Syst Rev. 2004(2).  https://doi.org/10.1002/14651858.CD000363.pub2.
  8. 8.
    Honjo K, Chaves LF, Satake A, Kaneko A, Minakawa N. When they don't bite, we smell money: understanding malaria bednet misuse. Parasitology. 2013;140(05):580–6.CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Hoshi T, Martin Banda P, Foster Pemba D, Sunahara T, Minakawa N. Beyond buzzing: mosquito watching stimulates malaria bednet use[mdash]a household-based cluster-randomized controlled assessor blind educational trial. Emerg Microbes Infect. 2013;2:e67.CrossRefPubMedPubMedCentralGoogle Scholar
  10. 10.
    World Health Organization. Methods for assessing human health vulnerability and public health adaptation to climate change. Copenhagen: WHO Regional Office for Europe; 2003.Google Scholar
  11. 11.
    Department JZH. Jimma Zonal health department annual report. Jimma: Jimma Zonal Health Department; 2010.Google Scholar
  12. 12.
    Shargie EB, Ngondi J, Graves PM, Getachew A, Hwang J, Gebre T, Mosher AW, Ceccato P, Endeshaw T, Jima D, et al. Rapid increase in ownership and use of long-lasting insecticidal nets and decrease in prevalence of malaria in three regional states of Ethiopia (2006-2007). J Trop Med. 2010;2010:12.CrossRefGoogle Scholar
  13. 13.
    Haileselassie B, Ali A. Assessment of insecticide treated nets coverage for malaria control in Kafta-Humera district, Tigray: possession versus use by high-risk groups. Ethiop J Health Devt. 2008;22(3):259–67.Google Scholar
  14. 14.
    Gobena T, Berhane Y, Worku A. Low long-lasting insecticide nets use among household members for protection against mosquito bite in kersa, eastern Ethiopia. BMC Public Health. 2012;12:914.CrossRefPubMedPubMedCentralGoogle Scholar
  15. 15.
    Baume CA, Reithinger R, Woldehanna S. Factors associated with use and non-use of mosquito nets owned in Oromia and Amhara regional states, Ethiopia. BMC Malar J. 2009;8:264.CrossRefGoogle Scholar
  16. 16.
    Deressa W, Ali A, Berhane Y. Review of the interplay between population dynamics and malaria transmission in Ethiopia. Ethiop J Health Dev. 2006;20(3):144–77.Google Scholar
  17. 17.
    Okiro EA, Hay SI, Gikandi PW, Sharif SK, Noor AM, Peshu N, Marsh K, Snow RW. The decline of pediatric malaria admissions on the coast of Kenya. Malar J. 2007;6(151):652–8.Google Scholar
  18. 18.
    Paulander J, Olsson H, Lemma H, Getachew A, San Sebastian M. Knowledge, attitudes and practice about malaria in rural Tigray, Ethiopia. Glob Health Action. 2009;2(1):1839.CrossRefGoogle Scholar
  19. 19.
    Animut A, Gebre-Michael T, Medhin G, Balkew M, Bashaye S, Seyoum A. Assessment of distribution, knowledge and utilization of insecticide treated nets in selected malaria prone areas of Ethiopia. Ethiop J Health Dev. 2008;22(3):268–74.Google Scholar
  20. 20.
    FMOH, Federal Ministry of Health of Ethiopia: National Malaria Guideline. In., Third edn. Addis Ababa: Federal Ministry of Health of Ethiopia; 2012.Google Scholar
  21. 21.
    Opiyo P, Mukabana WR, Kiche I, Mathenge E, Killeen GF, Fillinger U. An exploratory study of community factors relevant for participatory malaria control on Rusinga Island, western Kenya. Malar J. 2007;6:48.CrossRefPubMedPubMedCentralGoogle Scholar
  22. 22.
    Oresanya OB, Hoshen M, Sofola OT. Utilization of insecticide-treated nets by under-five children in Nigeria: assessing progress towards the Abuja targets. BMC Malar J. 2008;7:145.CrossRefGoogle Scholar
  23. 23.
    Bowen HL. Impact of a mass media campaign on bed net use in Cameroon. BMC Malar J. 2013;12:36.CrossRefGoogle Scholar
  24. 24.
    Iloh GU, Amadi AN, Obiukwu CE, Njoku PU, Ofoedu JN, Okafor GO. Family biosocial variables influencing the use of insecticide treated nets for children in eastern Nigeria. J Fam Community Med. 2013;20(1):12–9.CrossRefGoogle Scholar
  25. 25.
    Fullman N, Burstein R, Lim SS, Medlin C, Gakidou E. Nets, spray or both? The effectiveness of insecticide-treated nets and indoor residual spraying in reducing malaria morbidity and child mortality in sub-Saharan Africa. Malar J. 2013;12:62.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© The Author(s). 2018

Open AccessThis article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Mitiku Teshome Hambisa
    • 1
    • 2
  • Tessema Debela
    • 3
  • Yadeta Dessie
    • 1
  • Tesfaye Gobena
    • 4
  1. 1.School of Public HealthHaramaya University College of Health and Medical SciencesHararEthiopia
  2. 2.Research Centre for Generational Health and AgeingUniversity of NewcastleNewcastleAustralia
  3. 3.Oromia Regional Health Bureau (ORHB)Public Health Emergency Management (PHEM) and Health Research TeamAddis AbabaEthiopia
  4. 4.Department of Environmental Health SciencesHaramaya University College of Health and Medical SciencesHararEthiopia

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