Knowledge of Childhood Malaria Prevention and Outcome of Untreated Childhood Malaria among Mothers/Caregivers of Under-Five Children in Ibadan, Nigeria

Akinwaare MO, Ekpe AP and Abiona MO

Published on: 2022-05-07

Abstract

Objective: Nigeria is a malaria-endemic area and malaria is the principal cause of childhood mortality as it kills one child every 2 minutes. Adequate knowledge of malaria transmission, symptoms, preventive measures, treatment and consequences of untreated malaria by mothers or caregivers is essential in combating the disease. Therefore, the study investigated Nigerian mothers’/caregivers’ knowledge of malaria prevention and outcome of untreated malaria among under-5 children.

Methods: Descriptive cross-sectional design was adopted, simple random sampling technique was utilized to select one hundred and thirty-two (132) caregivers/mothers from mothers attending Infant welfare clinic in University College Hospital, Ibadan. Self-administered structured questionnaire was used for data collection which was coded and analysed using SPSS -21.

Result: The study revealed that 57(43.2%) of the respondents had good knowledge of malaria prevention, 90(68.2%) took good malaria preventives measures and 68(51.5%) had good knowledge of outcome of untreated malaria. The findings revealed that mothers/caregivers age, marital status, monthly income, parity and educational status are not significantly (p=0.93; p=0.556; p=0.121; 0.712 and p=0.129) associated with knowledge of childhood malaria prevention. Also, mothers/caregivers age, gender, relationship, marital status, monthly income and parity are not significantly (p=0.09; p=0.276; p=0.470; p=0663; p=0.886 and p=0.200) associated with knowledge of outcome of untreated malaria while their educational status is significantly (p=0.012) associated. Also, knowledge of childhood malaria prevention was significantly (p < 0.001) associated with knowledge of outcome of untreated malaria among under-five children.

Conclusion: Quite a number of mothers/caregivers of under-five children have poor knowledge of malaria preventives measures which translates into poor practice of preventive measures. Thus, knowledge of preventive measures is associated with knowledge of outcome of untreated childhood malaria.

Keywords

Malaria; Prevention; Under-five; Children; Child mortality

Introduction

Malaria is a mosquito borne disease in humans and animals [1]. It is caused by parasitic protozoans of the genus Plasmodium with species falciparum and vivax and the mosquitoes which act as vector for this disease are female Anopheles funestus, Anopheles mou-cheti, Anopheles gambiae, Anopheles arabiensis [2]. The disease is also known as aque, intermittent fever, marsh fever, and the fever [3-4]. Also, Malaria is a life-threatening vector-borne disease which is caused by transmission of malaria parasite through the bite of infected female Anopheles mosquitoes. High-risk populations of malaria infections are pregnant women, under-five children, forest workers and other immune-compromised people. Among them, children under-five have more chance to get infection, illness, and death due to severe malaria in high transmission areas of malaria [5]. Moreover, it is prevalent in tropical and subtropical regions because rainfall, warm temperatures, and stagnant waters provide habitats suitable for mosquito to breed. Five species of plasmodium can infect and be transmitted by humans, however, majority of deaths from malaria are caused by plasmodium falciparum while plasmodium vivax, plasmodium ovale, and plasmodium malarie causes a generally milder form of malaria that is rarely fatal. The zoonotic species, plasmodium knowlesi is prevalent in Southeast Asia; it causes malaria in macaques, but can also cause severe infections in humans. In Africa, it is estimated that malaria kills one child every 2 minutes [6]. According to the estimates from the World Health Organisation (WHO), there were 214 million new cases of malaria worldwide in 2015 with an estimated 438 000 malaria deaths [6]. Most of these cases (88%) and deaths (90%) were recorded in the African region [6]. Nigeria and Republic of Congo are two major African Countries contributing to the high malaria burden, as 36% of the malaria cases worldwide occurred in these two countries [7]. According to WHO, nearly half of the world populations are living in malaria at risk areas and latest estimated 216 million cases occurred globally in 2016 [8]. In South East Asia, 1.35billion people are living in malaria-endemic areas, and there were 1.3 million reported malaria cases and 14.6 billion estimated malaria cases by [7-8]. Moreover, there were 445,000 malaria deaths globally, and 91% and 6% of global malaria deaths were attributed by Africa and south East Asia [9] respectively according to [8]. In addition, estimated 303,000 malaria deaths had occurred among children under-five years which were accounted for 70% of the global total malaria deaths in 2015 [7] and every 2 children per 1000 live births die because of malaria globally according to WHO and Maternal and Child Epidemiology Estimation Group (MCEE)’s estimated 2015 data [10]. However, this large burden has led to the development and setting of several strategies and targets aimed at malaria control, and where possible its elimination [11].Targets a 90% reduction in the incidence and mortality rates of malaria, as well as an elimination of malaria in 35 of its endemic countries by 2030. One of the Standard Developmental Goals (SDG’s) target indicators is to end the epidemics of AIDS, tuberculosis, malaria and other neglected tropical diseases by 2030 [7]. Efforts and progress in implementation of control programs has yielded significant results. Between 2000 and 2015, the incidence of malaria has declined globally by about 37%, likewise death from malaria declined globally by 60%. Progress has been witnessed towards global elimination as increasing number of countries have moved towards malaria elimination [12]. Furthermore, the classic symptom of malaria is paroxysm—a cyclical occurrence of sudden coldness followed by shivering and then fever and sweating, occurring every two days (tertian fever) in P. vivax and P. ovale infections, and every three days (quartan fever) for P. malariae. P. falciparum infection can cause recurrent fever every 36–48 hours, or a less pronounced and almost continuous fever. Severe malaria is usually caused by P. falciparum (often referred to as falciparum malaria). Symptoms of falciparum malaria arise 9–30 days after infection [13]. The disease leads to numerous complications in children such as anaemia, pulmonary oedema, renal failure, hepatic dysfunction and coma [54]. In Nigeria, the burden of malaria is well documented and has been shown to be a big contributor to the economic burden of disease in communities where it is endemic and is responsible for annual economic loss to the tune of 132 billion Naira [14]. It is estimated that out of 300,000 deaths occurring each year, 60% of outpatient visits and 30% hospitalizations are all caused by malaria [15]. Malaria has been the main cause of deaths in Nigeria especially in children [16]. No doubt Nigeria is a malaria-endemic area and malaria is the principal cause of childhood mortality. However, Nigeria is currently a malaria endemic country with its entire population (186 million) at risk of contracting malaria [17], and a whopping 76% of this population at high risk. In 2015, Nigeria contributed about 29% of the malaria cases and 26% of the malaria deaths worldwide [17]. These large figures imply that Nigeria’s success in tackling malaria control will play a large part in the actualization of the global goals. Poverty has been associated with malaria. This could pose a barrier in the control of malaria as 80 million Nigerians are currently living in poverty [18]. Despite reported decline in infection and mortality [19], malaria remains the fourth leading cause of under-five mortality in the sub-region [17]. Children are particularly susceptible to the disease due to their poorly developed immune system. It is against this background that this study assessed childhood malaria prevention and outcome of untreated malaria among under-five children.

Brief Literature Review

Nigeria and Malaria Burden

Nigeria contributes the majority of the Africa malaria burden as it’s the most populous country in Africa, and being a tropical country Nigeria has some favorable climatic characteristics which positively influences the breeding and survival of the female anopheline mosquitoes.. Most (97%) of the malaria in Nigeria are mainly due to Plasmodium falciparum, with Plasmodium ovale and Plasmodium malariae affecting only a few persons. Malaria remains a major public health problem in Nigeria as it accounts for more cases and deaths than in any other country in the world. There are an estimated 100 million malaria cases with over 300,000 deaths per year in Nigeria. Malaria accounts for 60% of outpatient visits and 30% of hospitalizations among children under 5 years of age in Nigeria [55]. This implies a huge loss in terms of financial resources and man hours and in the case of the school age child, loss of school hours [20-22]. In line with the World Health Organization recommendation, the country has adopted the Test, Treat, and Track (3T) strategy with all suspected cases of malaria properly diagnosed using Rapid Diagnostic Tests or microscopy, treated promptly with recommended artemisinin-based combination therapy (ACT) if the result is positive and documented [23].

Prevention of Malaria

The two components of malaria prevention are reducing exposure to infected mosquitoes and chemoprophylaxis.

Chemoprophylaxis

All children (including immigrants and those traveling to a malaria-endemic region to visit friends and relatives) are expected to take an appropriate antimalarial drug. The choice of this chemoprophylactic agent should be based on the presence of chloroquine-resistant or mefloquine-resistant strains in the specific area. Intermittent administration of a full therapeutic dose of an antimalarial drug (or a combination of drugs) at specified timepoints, known as Intermittent Preventive Treatment (IPT)had shown great benefit in areas of high transmission and for specific risk groups (infants, high risk children and/or pregnant women). Sulfadoxine-pyrimethamine is particularly suited for this approach as it has a long half-life. A further development of IPT is Seasonal Malaria Chemoprevention (SMC) which is now being recommended by WHO for the prevention of falciparum malaria among children less than 5 years of age in areas with highly seasonal malaria transmission as the Sahel sub-region. A complete 3-day treatment course of amodiaquine plus sulfadoxine-pyrimethamine (AQ+SP) should be given to children aged between 3 and 59 months at monthly intervals, to a maximum of four doses during the malaria transmission season. SMC should not be given to children with severe acute illness or unable to take oral medication, to HIV positive patients on co-trimoxazole, to a child who has received a dose of either AQ or SP drug during the past month or who is allergic to either drug. The recommendation is based on results from 7 studies on SMC (IPTc) showing a reduction of 75% in malaria episodes in children less than 5 years of age without significant side effects [18, 8].

Vector Control

Key interventions currently recommended by WHO for the control of malaria in endemic areas are the use of insecticide treated nets (ITNs) and/or indoor residual spraying (IRS) for vector control, and prompt access to diagnostic testing of suspected malaria and treatment of confirmed cases. Community randomized trials in Africa have shown that full coverage with insecticide-treated nets can halve the number of episodes of clinical malaria and reduce all-cause mortality in children younger than 5 years of age. When used by pregnant women, insecticide-treated nets can lead to substantial reductions in low birth weight, placental parasitaemia, stillbirths, and miscarriages.

Repellents

Use of topical insect repellent is an important component of the prophylaxis against arthropod bite vector borne diseases too. Rational repellent prescription for a child must take into account age, active substance concentration, topical substance tolerance, nature and surface of the skin to protect, number of daily applications, and the length of use in a benefit-risk ratio assessment perspective. The repellents currently recommended in the 2012 edition of the Yellow Book comprise: DEET, Picaridin KBR 3023 or Icaridin, Oil of lemon eucalyptus (OLE) or PMD (or IR3535 Efficacy and duration of protection for all these products are markedly affected by ambient temperature, amount of perspiration, exposure to water, abrasive removal, etc.  Furthermore the following age restriction for DEET containing products is mentioned: should not be used on children less than two years old, and use should be restricted for children between two and twelve years old, except where motivated by the risk for human health through e.g. outbreaks of insect-borne diseases. However, DEET is not recommended for children with a history of seizures and for pregnant and lactating women, because of its potential neurotoxicity on the fetus and newborn. Other methods for malaria prevention include community participation and health education strategies which goes a long way in promoting awareness of malaria and the importance of control measures, these have been successfully used to reduce the incidence of malaria in some areas of the developing world. Recognizing the disease in the early stages can prevent the disease from becoming fatal and education can also inform people on preventive measures to put in place to lower transmission.        

Materials And Methods

Study design

A Descriptive cross-sectional study was conducted in the form of a survey among mothers of under-fives attending Infant Welfare Clinic, University College Hospital, Ibadan to assess their knowledge on prevention and outcomes of untreated malaria.

Study Setting  

This study was carried out in infant welfare clinic now known as centralize immunization clinic Centre in University College Hospital (UCH) Ibadan, Ibadan north local government area, Oyo state which is located in the south west geopolitical zone of Nigeria. The clinic carried out their activities from Monday to Friday.

Study Population and Sampling Technique

The study populations were mothers/caregivers of under-five children attending infant welfare clinic in UCH, Ibadan, who were available at the time of administration of the questionnaires in the clinic.

Sample Size Calculation

The sample size for this study was determined using [24] sample size formula stated as 

With the following assumption: Population of study participants: 171, Degree of error of tolerance: 5%., Attrition rate: 10%, 132 respondents were therefore recruited for the research. Simple random sampling was then used to select the mothers of under-five children attending infant welfare clinic of University College Hospital, Ibadan. These mothers were randomly selected from the updated record of mothers of under-five children who attend the clinic in University College Hospital.

Instrument for Data Collection

The data were collected using structured self-administered questionnaire. This was designed to assess the knowledge of malaria prevention and outcome of untreated malaria among mothers of under-five children attending infant welfare clinic in UCH, Ibadan.

Validity and Reliability of Instrument

Face and content validity of the instrument were ensured by the use of relevant literatures in evaluating the study instrument for clarity and ambiguity. The content of the questionnaire was also matched with the study objectives and research questions. To ensure the reliability and consistency of the instrument, a pre-test was carried out using 10 mothers of under-five children from a Primary Health Centre in Ibadan. A reliability coefficient of 0.76 was gotten which showed that the instrument was reliable for the study.

Ethical Consideration

Ethical approval was obtained from the Ethical Review Committee of University of Ibadan/University College; thereafter a formal permission to conduct the study was obtained from the Chairman Medical Advisory Committee, UCH, Ibadan. A written informed consent which was translated to Yoruba Language for the mothers who cannot read and understand English was obtained from all participants and they were assured of confidentiality of every information given. The mothers were also informed of freedom to withdraw from the study without any harm. The This study will benefit the respondent because the study does not only asses the knowledge of caregivers/mothers about malaria prevention and outcome of untreated malaria but the result of the finding will revealed the knowledge of caregivers’ about malaria prevention and outcome of untreated malaria and barriers to malaria prevention which will help the health care system in Nigeria to create awareness as a way of educating the caregivers/mothers on their under-five children protection and health. The Participants were not exposed to harm or injury during the conduct of the study as only their time was required.

Method of Data Analysis

Data obtain were screened for errors and completeness. Analysis was done using IBM-SPSS version 22.0software. Descriptive statistics of frequency counts, simple percentage, mean + SD was obtained to summarize and present the results. Chi-square test was carried out to test the association between knowledge of malaria prevention and outcome of untreated malaria is not statistically significance at P<0.05.

Results

Socio-Demographic Characteristics of the Respondents

Findings as presented in (Table 1) below revealed that 37.9% of the respondents were age between 21 and 30 years with the mean ± SD age of 36.9 ± 11.4; 83.3% were female; 69.7% had mother relationship with under-five child; 34.8% of the respondents were civil servant; 72.0% had tertiary institution certificate; 38.6% of the respondent were earning below #21,000 monthly with mean monthly income of 41.3± 3.8; 57.6% had 2-4 children with mean number of children delivered by the participants 3.0 ± 1.6; while 46.2% of the respondents had two children that were under-five years of age.

Table 1: Demographic Characteristics of the respondents (N=132).

Variable

Frequency(N)

Percentage (%)

Age group

Below 21

2

1.5

21 – 30

50

37.9

31 – 40

34

25.8

41 – 50

30

22.7

Above 50

16

12.1

Mean ± SD = 36.9 ± 11.4

Gender

 

 

Male

22

16.7

Female

110

83.3

Relationship with under five child

Mother

92

69.7

Father

17

12.9

Grandparent

11

8.3

Others

12

9.1

Marital Status

Single

15

11.4

Married

114

86.4

Separate/Divorced

3

2.3

Occupation

Trading

22

16.7

Farming

4

3

Housewife

9

6.8

Civil servant

46

34.8

Self employed

36

27.3

Artisan

1

0.8

Student

12

9.1

Others

2

1.5

Religion

Christianity

90

68.2

Islam

40

30.3

Traditional

2

1.5

Level of education

No formal education

2

1.5

Primary

7

5.3

Secondary

28

21.2

Tertiary

95

72

Tribe

Yoruba

106

80.3

Igbo

15

11.4

Hausa

6

4.5

Others

5

3.8

Monthly Income (#’000)

Below 21

51

38.6

21 – 40

36

27.3

41 – 60

18

13.6

61 – 80

8

6.1

Above 80

19

14.4

Mean ± SD = 41.3 ± 3.8 Parity (Number of Children)

1

28

21.2

2 – 4

76

57.6

Above 4

28

21.2

Mean ± SD = 3.0 ± 1.6 Child’s Age (years)

One

33

25

Two

26

19.7

Three

19

14.4

Four and above

54

40.9

Mean ± SD = 3.0 ± 1.5 Number of under five children

One

48

36.4

Two

61

46.2

Three

19

14.4

Four

4

3

Mean ± SD = 1.8 ± 0.8

Knowledge about Malaria Prevention

Results as presented in (Table 2) below showed that 93.9% of the respondents were aware of malaria, 82.6% were also aware of malaria preventive measures, while 80.3% got their information about malaria from health centres/clinics. 86.4% of the respondent agreed that the use of ITNs is an appropriate preventive measure against malaria while 91.7% were aware that malaria could be treated by taking of antimalarial drug from health facility.

Table 2: Respondent’s Knowledge about Malaria Prevention (N = 132).

Statement

Response

Frequency (%)

Awareness of malaria

Yes

124(93.9)

No

8(6.1)

Awareness of malaria prevention education measures

Yes

109(82.6)

No

21(15.9)

Don’t know

2(1.5)

Source(s) of information about malaria

Family/Friends

72(54.5)

Church/School

62(47.0)

Health centres/Clinics

106(80.3)

Health workers

86(65.2)

Posters/leaflets

69(52.3)

Media  (TV, Radio, Newspaper)

71(53.8)

Mosquito bite can cause of malaria

Correct

120(90.9)

Incorrect

12(9.1)

Malaria can be transmitted in following ways

Mosquito bite

121(91.7)

Dirty environment/unhygienic practices

89(67.4)

Blood transfusion /placenta (mother to child)

66(50.0)

Stagnant water

85(64.4)

People who are at risk of malaria

Farmers/Forest workers

84(63.6)

People living with HIV/AIDS

62(47.0)

Under-five children

85(64.4)

Pregnant women

92(69.7)

Biting time of malaria is at night

Correct

86(65.2)

Incorrect

46(34.8)

Symptoms of malaria:

Cold/chill and rigor/shivering

104(78.8)

Nausea and vomiting

92(69.7)

Body pain/Abdominal pain

82(62.1)

Inability to eat/loss of energy

92(69.7)

Headache

98(74.2)

Yellow eyes and urine

68(51.5)

Fever/high temperature

109(82.6)

Malaria appropriate preventive measures are:

Use of ITNs

114(86.4)

Use of repellant

87(65.9)

Taking anti-malaria medication

94(71.2)

Keeping the house and surrounding clean

106(80.3)

Malaria can be treated by taking of antimalarial drug from health facility

Correct

121(91.7)

Incorrect

11(8.3)

Results as presented in (Figure 1) showed that 56.8% of the respondents had poor knowledge of malaria prevention and 43.2% had good knowledge of malaria prevention among under-five children.

Figure 1:  Respondent’s Knowledge about Malaria Prevention.

Practice of Malaria Preventive Measures

As presented in (Table 3) below, 53.0% of the respondents used wear of long sleeves clothes to prevent mosquito bites, 51.5% were eating healthy diet/ avoid fruits, 84.8% used bed nets/ITNs, 75.8% used mosquito repellant cream, 77.3% drained stagnant water and cut bushes around the house, 78.0% sprayed insecticide,83.3% avoided mosquito bites, 62.9% took preventive medication, 30.3 stayed out of sun/ cold weather, 48.5% were keeping doors and windows closed, 59/1% used mosquito coil, 63.3% covered their water container, 66.7% cleaned dark corners in the house and 73.5% maintained good personal and environmental hygiene as malaria preventive measures.

Table 3: Respondent’s practice of malaria preventive measures among under-five children (N = 132).

Statement

Response

Frequency (%)

Malaria preventive measures

Wearing long sleeves clothing

70(53.0)

Eating healthy diet/avoid fruits

68(51.5)

Using bed nets/ITNs

112(84.8)

Use of mosquito repellant cream

100(75.8)

Draining stagnant water

102(77.3)

Cutting of bushes around the house

102(77.3)

Spraying of insecticide

103(78.0)

Avoiding mosquito bites

110(83.3)

Taking preventive medication

83(62.9)

Staying out of sun/cold weather

40(30.3)

Keeping doors and windows closed

64(48.5)

Using of mosquito coil

78(59.1)

Good personal hygiene/environmental hygiene

97(73.5)

Covering water container

84(63.6)

Cleaning dark corners in the house

88(66.7)

As presented in (Figure 2), 31.8% of the respondents had poor practice of malaria preventive measures and 68.2% had good practice of malaria preventives measures among under-five children.

Figure 2:  Respondent’s Practice of Malaria Preventive Measures among Under-Five Children.

Knowledge of outcome of untreated malaria

Findings, as presented in (Table 4) below, revealed the response of the participants on the outcome of untreated malaria, this ranges from unconsciousness (54.5%), Prostration (27%), and death (73.5%).

Table 4: Respondent’s Knowledge of Outcome of Untreated Malaria among Under-Five Children.

Statement

Response

Frequency (%)

The outcome of untreated malaria among under-five includes:

Unconsciousness

72(54.5)

Multiple convulsions

73(55.3)

Death

97(73.5)

High/more cost of treatment

91(68.9)

Anaemia/Jaundice

57(43.2)

Big spleen disease

49(37.1)

Cognitive and behavioural impairment

55(41.7)

Prostration

 

Hyperpyrexia (very high fever)

30(22.7)

Hypoglyceamia (low glucose)

85(64.4)

Hypoglobinuria (low red blood cell)

66(50.0)

Results presented in (Figure 3) shows that 48.5% of the respondents had poor knowledge of outcome of untreated malaria and 51.5% had good knowledge of outcome of untreated malaria among under-five children.

Figure 3: Respondent’s Knowledge of Outcome of Untreated Malaria among Under-Five Children.

Barriers to Prevention of Malaria

Results presented on (Table 5) shows that 65.9% believed that the insecticide on the long lasting ITNs can be dangerous to children who sleep under them while 72.7% were of the opinion that mosquito coils cause bad smell and harmful to health of children, 62.9% reported that children cannot sleep well under LLITNs when the weather is warm, 34.8% also opined that mosquito repellant are difficult to buy, and 55.3% of the respondents attested that health center is not too far to seek treatment in case of fever.

Table 5: Respondent’s Barriers to Prevention of Malaria among Under-Five Children.

 

Frequency (%)

 

Yes

No

Don’t know

The insecticide on the long lasting ITNs can be dangerous to children who sleep under them

87(65.9)

31(23.5)

14(10.6)

Children cannot sleep well under LLITNs when the weather is warm

83(62.9)

24(18.2)

25(18.9)

It is very hot when children wear long clothes at night time during hot season

101(76.5)

20(15.2)

11(8.3)

Mosquito repellants are difficult to buy

46(34.8)

73(55.3)

13(9.8)

Mosquito coils causes bad smell and harmful to health of children

96(72.7)

26(19.7)

10(7.6)

Multiple breeding sites around the house make it difficult to clean all the breeding sites

77(58.3)

44(33.3)

11(8.3)

It is too far going to health facility centre to seek treatment if children get fever

52(39.4)

73(55.3)

7(5.3)

Testing of Hypotheses

Hypothesis One (H01): There is no significant association between mothers/caregivers’ Socio-demographic characteristics and knowledge of malaria preventive measures among under-five children attending infant welfare clinic in UCH, Ibadan. The below (Table 6) shows that mothers/caregivers gender and relationship were significantly (p=0.045; p=0.028) associated with level of knowledge of malaria preventive measures among under-five children while their age, marital status, monthly income, parity and educational status were not significantly (p=0.93; p=0.556; p=0.121; 0.712 and p=0.129) associated with level of knowledge of malaria preventive measures among under-five children.

Table 6: Cross – Tabulation of Mothers/Caregivers’ Socio-Demographic Characteristics and Knowledge of Malaria Preventive Measures among Under-Five Children.

 

 

Knowledge of malaria preventive measures

Remark

 

 

Poor

Good

d.f

X2-value

p-value

 

Age group (yrs)

Below 21

0 (0.0%)

2 (2.2%)

       

21 – 30

10 (23.8%)

40 (44.4%)

       

31 – 40

12 (28.6%)

22 (24.4%)

4

7.03

0.93

insignificant

41 – 50

13 (31.0%)

17 (18.9)

       

Above 50

7 (16.7%)

9 (10.0)

       

Gender

Male

11 (26.2%)

11 (12.2%)

1

4.02

0.045

Significant

Female

31 (73.8%)

79(87.8%)

       

Relationship with the child

Mother

27 (64.3%)

65 (72.2%)

       

Father

10 (23.8%)

7 (7.8%)

3

8.76

0.028

Significant

Grandparent

4 (9.5%)

7 (7.8%)

       

Other

1 (2.4%)

11 (12.2%)

       

Marital status

Single

3 (7.1%)

12 (13.3%)

       

Married

38 (90.5%)

76 (84.4%)

2

1.17

0.556

Insignificant

Separate/

1 (2.4%)

2 (2.2%)

       

Divorce

           

Monthly Income (#’000)

Below 21

16 (38.1%)

35 (38.9%)

       

21 – 40

14 (33.3%)

22 (24.4%)

4

5.06

0.121

 

41 – 60

5 (11.9%)

13 (14.4%)

     

Insignificant

61 – 80

0 (0.0%)

8 (8.9%)

       

Above 80

7 (16.7)

11 (16.2%)

       

Parity

1

10 (23.8%)

18 (20.0%)

2

0.68

0.712

 

2 – 4

22 (52.4%)

54 (60.0%)

     

Insignificant

Above 4

10 (23.8%)

18 (20.0%)

       

 Educational status

Primary

3 (7.1%)

4 (4.4%)

3

4.87

0.129

 

Secondary

10 (23.8%)

18 (20.0%)

     

Insignificant

Tertiary

27 (64.3%)

68 (75.6%)

       

Non formal

2 (4.8%)

0 (0.0%)

       

Non formal

2 (4.8%)

0 (0.0%)

       

Note: Fisher’s exact result was recorded for small cell

Hypothesis Two (H02): There is no significant association between mothers/caregivers’ Socio-demographic characteristics and knowledge of outcome of untreated malaria among under-five children attending infant welfare clinic in UCH, Ibadan. The below (Table 7) shows that mothers/caregivers age, gender, relationship, marital status, monthly income and parity were not significantly (p=0.09; p=0.276; p=0.470; p=0663; p=0.886 and p=0.200) associated with level of knowledge of outcome of untreated malaria among under-five children while their educational status was significantly (p=0.012) associated with level of knowledge of outcome of untreated malaria among under-five children.

Table 7: Cross – Tabulation of Mothers/Caregivers’ Socio-Demographic Characteristics and Knowledge of Outcome of Untreated Malaria among Under-Five Children.

 

 

knowledge of outcome of untreated malaria

Remark

 

 

Poor

Good

d.f

X2-value

p-value

 

Age group (yrs)

Below 21

2 (3.1%)

0 (2.2%)

 

 

 

insignificant

21 – 30

25 (39.1%)

25 (36.8%)

 

 

 

 

31 – 40

11 (17.2%)

23 (33.8%)

4

6.86

0.09

 

41 – 50

16 (25.0%)

14 (20.6)

 

 

 

 

Above 50

10 (15.6%)

6 (8.8)

 

 

 

 

Gender

Male

13 (20.3%)

9 (12.2%)

1

1.19

0.276

insignificant

Female

51 (79.7%)

59(86.8%)

 

 

 

 

Relationship with the child

Mother

41 (64.1%)

51 (75.0%)

 

 

 

insignificant

Father

11 (17.2%)

6 (8.8%)

3

2.53

0.47

 

Grandparent

6 (9.4%)

5 (7.4%)

 

 

 

 

Other

6 (9.4%)

6 (8.8%)

 

 

 

 

Marital status

Single

6 (9.4%)

12 (13.3%)

 

 

 

Insignificant

Married

57 (89.1%)

57 (83.8%)

2

0.89

0.663

 

Separate/Divorce

1 (1.6%)

2 (2.9%)

 

 

 

 

Monthly Income (#’000)

Below 21

23 (35.9%)

28 (41.2%)

 

 

 

Insignificant

21 – 40

18 (28.1%)

18 (26.5%)

 

 

 

 

41 – 60

10 (15.6%)

8 (11.8%)

4

1.21

0.886

 

61 – 80

3 (4.7%)

5 (7.4%)

 

 

 

 

Above 80

10 (15.6%)

9 (13.2%)

 

 

 

 

Parity

1

17 (26.6%)

11 (16.2%)

2

3.19

0.2

Insignificant

2 – 4

32 (50.0%)

44 (64.7%)

 

 

 

 

Above 4

15 (23.4%)

13 (19.1%)

 

 

 

 

 Educational status

Primary

2 (3.1%)

5 (7.4%)

3

10.8

0.012

significant

Secondary

21 (32.8%)

7 (10.3%)

 

 

 

 

Tertiary

40 (62.5%)

55 (80.9%)

 

 

 

 

Non formal

1 (1.6%)

1 (1.5%)

 

 

 

 

Note: Fisher’s exact result was recorded for small cell.

Hypothesis Four (H03): There is no significant association between mothers/caregivers knowledge of malaria preventive measures and knowledge of outcome of untreated malaria among under-five children attending infant welfare clinic in UCH, Ibadan. The below (Table 8) shows that mothers/caregivers knowledge of malaria preventive measures was significantly (p < 0.001) associated with level of knowledge of outcome of untreated malaria among under-five children.

Table 8: Cross – Tabulation of Mothers/Caregivers Knowledge of Malaria Preventive Measures and Knowledge of Outcome of Untreated Malaria among Under-Five Children.

 

 

Knowledge of outcome of untreated malaria

 

 

 

 

Poor

Good

d.f

X2-value

p-value

 Remark

Knowledge of malaria preventive measures

Poor

32 (76.2%)

10 (23.8%)

 

 

 

Significant

Good

32 (35.6%)

58 (64.4%)

1

18.93

<0.001

 

 

Discussion of Findings

The Socio-demographic characteristics of the study revealed that about two-fifth of the respondents were age between 21 and 30 years with the mean age being 36.9 ± 11.4,this shows that most of the caregivers’/mothers were between this age range. From the data obtained, more than three-quarter of the respondents that attend infant welfare clinic are female, about two-third were mother in relationship with under-five child, and the distribution of the respondents according to marital status showed that more than three-quarter were married, and their occupation showed that about one-third were civil servants. According to the respondent’s religion, slightly above two-third practice Christianity, while for their educational level about three-quarter had tertiary institution certificate, this shows they were mostly educated and slightly above one-third of the respondents earn below 21 thousand naira as their monthly income. However, according to the respondent’s parity two-third had 2-4 children, while slightly below half of the respondents had their child’s age to be 4years and above and had maximum of two under five children. The findings of the study discovered that there was significant relationship between the caregiver’s gender and knowledge of malaria preventive measures (P= 0.045), though age, marital status, monthly income, parity and educational status were not significantly associated. This is contrary to [25] who revealed that socio-demographic such as age, sex, marital status, occupation, education and economic status statistically influence knowledge of malaria prevention among caregivers of under-five children. Also, the findings of this study showed that mothers/caregivers age, gender, relationship, marital status, monthly income and parity were not significantly (p=0.09; p=0.276; p=0.470; p=0663; p=0.886 and p=0.200) associated with level of knowledge of outcome of untreated malaria among under-five children while their educational status was significantly (p=0.012) associated with level of knowledge of outcome of untreated malaria among under-five children. This is contrary to [25] who stated that socio-demographic such as age, sex, marital status, occupation, education and economic status statistically influence knowledge of malaria and outcome of untreated malaria among caregivers of under-five children.

Knowledge of malaria prevention

Knowledge of malaria prevention among care givers is significant in the fight against this infection as early treatment of childhood malaria depends upon mothers’ knowledge about malaria and prompt recognition of signs and symptoms of the disease [26]. Concerning the knowledge of malaria prevention, the findings revealed that a large proportion (93.9%) of the respondents were aware of malaria and its preventive measures (82.6%), Mainly, slightly below half of the caregivers had good knowledge of malaria preventive measures among under five children. Majority of the respondents (90.9%) know that mosquito bite can transmit malaria and that malaria can be treated by taking of antimalarial drug from health facility (91.7%). A larger proportion of the respondents were knowledgeable about appropriate preventive measures which are use of ITNs (86.4%), use of repellant (65.9%), taking anti-malaria medication (71.2%) and keeping the house and surrounding clean (80.3%). The findings of this present study is consistent with other studies where about three-quarter of caregivers had good knowledge of malaria preventive measures [27-29]. Although, , this study findings is contrary to the report of several studies who reported inadequate knowledge of malaria prevention; according to the finding of a study conducted in Jos, Nigeria only 49% of respondents had adequate knowledge concerning malaria causation, transmission and treatment [30-31], only one-quarter of the under-five caregivers identified ITNs as preventive measure of malaria, [31] likewise reported that just one-quarter of the respondents attributed malaria to mosquito bite while in [32], 40% of the respondents did not know the exact cause of malaria butattributed it to sunlight(20%) and mosquito (16%). Also, [33-34] reported that the overall knowledge of respondents in their study regarding malaria prevention was very low. Factors such as educational level, marital status, family income, and occupation have been discovered and reported by several studies to be associated with mothers/caregivers knowledge about malaria and its management [35-38] though this is in contrast with the findings of this study where age, marital status, monthly income, parity and educational status of the caregivers were not significantly (p=0.93; p=0.556; p=0.121; 0.712 and p=0.129) associated with level of knowledge of malaria preventive measures. However, the findings of this present study discovered an association between the gender of caregivers and knowledge of malaria prevention practices which was consistent with the report of [39].

Malaria Preventive Measures

Primary health care as stated in the Alma Ata declaration underscores the importance of health education as one of the key methods of preventing and controlling outcome of untreated malaria and the prevailing health problems. Malaria accounts for more than 70% of hospital attendance and the commonest cause of death among the Under-fives [2]. As regards the caregivers malaria preventive measures among under-five children, the study findings revealed that slightly above two-third (68.2%) of the caregivers had good practice of malaria preventives measures among under-five children as approximately half wore long sleeves clothes to prevent malaria and keep doors and windows closed, majority uses bed nets/ITNs to avoid mosquito bites, three-quarter uses mosquito repellant cream, draining of stagnant water and cut bushes around the house, spraying of insecticide and maintaining of good personal and environmental hygiene as malaria preventive measures. This is consistent with preventive measures highlighted by several studies which include using insecticide-treated nets, environmental sanitation and indoor insecticide spraying [40-42] reported that some caregivers use mosquito coil to prevent malaria. However prompt and effective treatment of malaria with an effective anti-malarial drug within 24 hours of fever onset was one of the strategies used to control malaria in Malawi [3]. On the contrary, some caregivers have misconceptions about malaria prevention measures which include using herbal medicine and use of antibiotics [38]. Several studies carried out in Nigeria and other countries [43-46], revealed that socio-demographic such as sex, marital status, educational status, number of under-five children, age of under-five children and economic status have influence caregivers preventive measures against malaria by the use of insecticide-treated net among caregivers of under-five children.

Knowledge of Outcome of Untreated Malaria

The study findings revealed that approximately half of the caregivers had good knowledge of outcome of untreated malaria among under-five children as majority reported death, high/more cost of treatment and very high fever, unconsciousness, multiple convulsions, anaemia/jaundice, cognitive and behavioural impairment and low red blood cell while one third reported big spleen and prostration as outcomes of untreated malaria among under-five children. This study finding is in line with WHO statement on outcome of untreated malaria or severe (SM) which is observed in the presence of impaired consciousness, acidosis, hypoglycemia, anemia, acute kidney injury, jaundice, pulmonary edema, significant bleeding, shock, and hyper-parasitaemia [47-48] also reported increased risk of disease severity and death, especially in young children as outcome of untreated malaria [49]. On the other hand, highlighted the following conditions as outcomes of untreated malaria which include decorticate or decelerate posturing, nystagmus, dysconjugategaze, papilledema, retinal hemorrhages, and altered respiration [50]. Reported a child’s life can be threatened with this disease as malaria affects the caregivers’ social life, economic condition because they cannot work if their children are sick as they have to pay in order to get diagnosis and treatment to cure that disease [51]. Additionally reported that children with untreated malaria or severe malaria were found to be left with lifelong effects, particularly in the area of neuropsychological functioning, including cognitive and behavioral domains. The finding of this present study showed that mothers/caregivers age, gender, relationship, marital status, monthly income and parity were not significantly (p=0.09; p=0.276; p=0.470; p=0663; p=0.886 and p=0.200) associated with level of knowledge of outcome of untreated malaria among under-five children though their educational status was significantly (p=0.012) associated with level of knowledge of outcome of untreated malaria among under-five children. This is contrary to [25]. Who stated that socio-demographic such as age, sex, marital status, occupation, education and economic status statistically influence knowledge of malaria and outcome of untreated malaria among caregivers of under-five children? Interestingly, mothers/caregivers’ knowledge of malaria preventive measures was significantly (p < 0.001) associated with level of knowledge of outcome of untreated malaria among under-five children, however this inconsistent with the findings of [29] who reported that there was no association between outcome of untreated malaria and preventive practices.

Barriers to Prevention of Malaria

Several barriers were identified from this study to hinder prevention of malaria. Majority of the caregivers reported that insecticide on the long lasting ITNs can be dangerous to children who sleep under especially during warm weather, these nets become very hot when children wear long clothes at night during hot season Also, bad odours of mosquito coils which was believed to be harmful to health of children were identified as one of the barriers. , it is. About half of the caregivers however reported hindrance to malaria prevention from multiple breeding mosquito sites around the house which is difficult to clean/eradicate completely, coupled with the fact that Primary health care center is far to seek treatment if children have fever. Some of the respondents reported mosquito repellants being difficult to buy as the barriers to prevention of malaria among under-five children. These identified barriers from the study were in line with [50] who reported that during the hot season, children cannot sleep under bed net as it is so hot and caregivers assume that malaria transmission is reduced during dry seasons likewise [52], reported that people did not like mosquito bed nets because they were associated with heat, suffocation and bad smell [53-60] Other reasons identified as barriers by caregivers is the fact that when LLIN need to replace, they have to buy a new one and because it cost high, they cannot afford to buy new ones after the effect of LLIN had been reduced [61-65].

Conclusion

It has been established that children bear the heaviest burden of malaria attack which is either treated at home or in the hospital. Early recognition and appropriate treatment can go a long way in minimizing the outcome of the disease [66-68]. The study findings revealed that slightly above two-third of the caregivers had good practice of malaria preventives measures among under-five children and approximately half of the caregivers had good knowledge of outcome of untreated malaria among under-five children. Mothers/caregivers knowledge of malaria preventive measures was discovered to be significantly associated with level of knowledge of outcome of untreated malaria among under-five children. Preventive measures practices utilized by the respondents against malaria include sleeping under ITNs, use of repellants, draining of stagnant water to mention a few [69-70]. However, several barriers were identified as hindrance to prevention of malaria which affected the respondents’ preventive measures, some of which are belief that the ITNs is dangerous for children, mosquito coils seen as harmful to the children, inability to completely eradicate mosquito breeding sites and delay in accessing health care centers due to distance. There is need to increase public awareness of malaria and its preventive measures, the researchers therefore recommend that health education program be implemented among caregivers of under-5 children and awareness campaign be made on media or health talks given to caregivers, drugs sellers, schools, church and community.

References

  1. Ukaegbu CO, Nnachi AU, Mawak JD, Igwe CC. Incidence of concurrent malaria and typhoid fever infection in febrile patients in Jos, Plateau State Nigeria. International Journal of Scientific and Technology Research. 2014; 3:157-161.
  2. WHO Nigeria Malaria profile, 2015.
  3. Beale JM, Block JH. Wilson and Gisvold’s textbook of organic medicinal and pharmaceutical chemistry. 12th edition Philadelphia Lippincott Williams and Wilkins, British National Formulary, 2009. London: BMJ group, 2011.
  4. Medecins sans Frontieres. Clinical guidelines diagnosis and treatment manual for curative programmes in hospitals and dispensaries, guidance for prescribing. Janvier: Paris.135, 2010.
  5. World Health Organization Fact Sheet: Children: reducing mortality Fact Sheet, 2017a.
  6. WHO: WHO Global Malaria Programme: World Malaria Report 2011; 2012.
  7. World Malaria Report 2016. Geneva: World Health Organization; 2016. Licence: CC BY-NC-SA 3.0 IGO, 2016.
  8. WHO (Ed). World malaria report 2017. Geneva: World Health Organisation; 2017. Licence: CC BY-NC-SA 3.0 IGO, 2017c.
  9. MCEE-WHO methods and data sources for child causes of death 2000-2015. Global Health Estimates Technical Paper WHO/HIS/IER/GHE/2016.
  10. MCEE, MCEE-WHO methods and data sources for child causes of death 2000-2015. Global Health Estimates Technical Paper WHO/HIS/IER/GHE/2016.1. 2015.
  11. Global technical strategy for malaria 2016-2030. 2015.
  12. United Nations Children Education Funds. Use of longlasting insecticide treated bed nets, 2013.
  13. Bartoloni A, Zammarchi L. "Clinical aspects of uncomplicated and severe malaria”. Mediterranean Journal of Hematology and Infectious Diseases. 2012; 4: e2012026.
  14. Babalola DA, Olarewaju M, Omeonu PE, Adefelu AO, Okeowo R. Assessing the adoption of Roll Back Malaria Programme (RBMP) among women farmers in Ikorodu Local government area of Lagos state. Canadian Journal of Pure and Applied Science. 2013; 7: 2375-2379
  15. Uzochukwu BS, Ezeoke OP, Emma-Ukaegbu U, Onwujekwe, OE, Sibeudu, FT. Malaria treatment services in Nigeria. Nigerian medical journal, 2013; 51: 114-119.
  16. National Population Commission (NPC) [Nigeria], National Malaria Control Programme (NMCP) [Nigeria], and ICF International. 2012. Nigeria Malaria Indicator Survey 2010. Abuja, Nigeria: NPC, NMCP, and ICF International, 2012.
  17. World Malaria Report 2015. Geneva: WHO Press, 2015
  18. Fact sheet on World Malaria report. 2012.
  19. Murray CJL, Rosenfeld LC, Lim SS, Andrews KG, Foreman KJ, Haring D, et al. Global malaria mortality between 1980 and 2010: a systematic analysis. Lancet. 2012; 379: 413-431.
  20. Uguru NP, Onwujekwe OE, Uzochukwu BS, Igiliegbe GC, Eze SB. Inequities in incidence morbidity and expenditures on prevention and treatment of malaria in southeast Nigeria. BMC Int Health Hum Rights. 2009; 9.
  21. Salihu HM, Diamond E, August EM, Rahman S, Mogos MF, Mbah AK, et al. Maternal pregnancy weight gain and risk of placental abruption. Nutrition Reviews. 2013; 71.
  22. Onwujekwe O, Hanson K, Uzochukwu B, Ezeoke O, Eze S, Dike N. Geographic inequalities in provision and utilisation of malaria treatment services in south-east Nigeria: diagnosis, providers and drugs. Health Policy. 2010; 94: 144-149.
  23. National Guidelines for Diagnosis and Treatment of Malaria FMOH National Malaria and Vector Control Division Abuja Nigeria 2011. Federal Ministry of Health FMOH. 2011.
  24. Jombo G, Araoye M, Damen JG. Malaria self medications and choice of drug for its treatment among residents of a malaria endemic community in West Africa. Asian Pacific Journal of Tropical Disease. 2011; 1: 10-16.
  25. Romay BM, Ncogo P, Nseng G, Santana MA, Herrador Z, Berzosa P, et al. (). Caregivers Malaria Knowledge Beliefs and Attitudes and Related Factors in the Beta District Equatorial Guinea. PLoS One. 2016; 11.
  26. Oyekale AS. Assessment of Malawian mothers malaria knowledge healthcare preferences and timeliness of seeking fever treatments for children under five. Int J Environ Res Public Health. 2015; 12: 521-540.
  27. Adedotun AA, Salawu OT, Morenikeji OA, Odaibo AB. Plasmodial infection and haematological parameters in febrile patients in a hospital in Oyo town South-western Nigeria. Journal of Public Health and Epidemiology. 2013; 5: 144-148.
  28. Min SK, SaiKhun M. Malaria preventive behaviours among residents of Theinni Township Northern Shan State Myanmar. Bangkok Mahidol University. 2014.
  29. Han KM. Malaria Prevention Practices Among Caregivers of Children Under Five Years in Ingapu Township, Myanmar. Banbkok Mahidol University. 2017.
  30. Ogbonna C, Daboer JC, Chingle MP. Knowledge and treatment practices of malaria among mothers and caregivers of children in an urban slum in Jos Nigeria. Niger Med J. 2010; 19: 184-187.
  31. Oluwasogo AOI, Henry OSI, Abdulrasheed AA, Olawumi TA, Olabisi EY. Assessment of Mother’s knowledge and Attitude towards Malaria Management among Under Five (5) Years Children in Okemesi-Ekiti, Ekiti-West Local Government Ekiti State Estrjkl. An open access journal. 2015; 5.
  32. Olorunfemi EA, Adekoya GI. Impact of health education on malaria prevention practices among nursing mothers in rural communities in Nigeria. Niger Med J. 2013; 54: 115-122.
  33. Zewdie B, Yihdego YY, Delenasaw Y. Caretakers understanding of malaria, use of insecticide treated net and care seeking-behaviour for febrile illness of their children in Ethiopia. 2017.
  34. Ashikeni MA, Envuladu EA, Zoakah AI. Perception and Practice of Malaria Prevention and Treatment among Mothers in Kuje Area Council of Federal Capital Territory Abuja Nigeria. Int J Med.Biomed Res. 2013; 2: 213-220.
  35. Borah DJ, Sarma SP. Treatment seeking behavior of people with malaria and households expendicture incurred to it in a block in endemic area in Assam North East India. BMC Infect Dis. 2012; 12.
  36. Sato Y, Hliscs M, Dunst J, Goosmann C, Brinkmann V, Montagna GN, et al. Comparative Plasmodium gene overexpression reveals distinct perturbation of sporozoite transmission by profilin. Mol Biol Cell. 2016; 27: 2234–2244.
  37. Yadav SP. A study of treatment seeking behaviour for malaria and its management in febrile children in rural part of desert Rajasthan India. J Vector Borne Dis. 2010; 47: 235-242.
  38. Adebayo AM, Akinyemi OO, Cadmus EO. Knowledge of malaria prevention among pregnant women and female caregivers of under-five children in rural southwest Nigeria. Peer J. 2015; 3.
  39. Opare JKL. Community Knowledge and Perceptions on Malaria and its Prevention and Control in the Akwapim North Municipality Ghana. 2013.
  40. Mutero CM, Schlodder D, Kabatereine N, Kramer R. Intergrated vector management for malaria control in Uganda knowledge perceptions and policy development. Malaria Journal. 2012; 11: 1-2.
  41. Orimadegun AE, Ilesanmi KS. Mothers understanding of childhood malaria and practices in rural communities of Ise-Orun Nigeria implications for malaria control. J Family Med Prim Care. 2015; 4: 226-231.
  42. Ameyaw E, Dogbe J, Owusu M. Knowledge and practice of malaria prevention among caregivers of children with malaria admitted to a teaching hospital in Ghana. Asian Pacific Journal of Tropical Disease. 2015; 5: 658–661.
  43. Mazigo HD, Mauka W, Manyiri P, Zinga M, Kweka EJ, Mnyone LL, et al. Knowledge, Attitudes and Practices about Malaria and its Control in Rural Northwest Tanzania. Malar Res Treat. 2010.
  44. Tobin-West CI. Factors Influencing the Use of Malaria Prevention Methods Among Women of Reproductive Age in Peri-urban Communities of Port Harcourt City, Nigeria. 2016; 23: 6-11.
  45. Okafor PI, Odeyemi K. Use of insecticide-treated mosquito nets for children under five years in an urban area of Lagos State, Nigeria. Nigerian Journal of Clinical Practice. 2012; 15.
  46. Adams MD. Predictors of malaria prevention and case Management among children under-five in three African countries: analysis of demographic health surveys (dhs) malaria indicator surveys. The University Of Utah. 2015.
  47. World Malaria Report 2014. Geneva World Health Organization. 2014, 32-42.
  48. Young M, Wolfheim C, Marsh DR. World Health Organization/ United Nations Children’s Fund joint statement on integrated community case management an equity-focused strategy to improve access to essential treatment services for children. Am J Trop Med Hyg. 2012 ;87: 6-10.
  49. Halliday KE, Karanja PE, Turner L. Plasmodium falciparum anaemia and cognitive and educational performance among school children in an area of moderate malaria transmission: baseline results of a cluster randomized trial on the coast of Kenya. Trop Med Int Health. 2012; 17: 532-549.
  50. Beer N, Ali AS, Eskilsson H, Jansson A, Abdul-Kadir FM, Rotllant-Estelrich G, et al. A qualitative study on caretakers’ perceived need of bed-nets after reduced malaria transmission in Zanzibar, Tanzania. BMC Public Health. 2012; 12.
  51. Bangirana P, Allebeck P, Boivin M, John C, Page C, Ehnvall A, et al. Cognition, behavior and academic skills after cognitive rehabilitation in Ugandan children surviving severe malaria: a randomized trial. Biomedical Central Neurology. 2011.
  52. Ouathara AF, Raso G, Edi CVA, Utzinger J, Tanner M, Dagnogo M, et al. Malaria knowledge and long-lasting insecticidal net use in rural communities of central Coted’voire. Malaria Journal. 2011; 10: 1-6.
  53. Akogun OB, John KK. Illness-related practices for the management of childhood malaria among the Bwatiye people of north-eastern Nigeria. Malar J. 2005; 4.
  54. Onyesom I, Onyemakonor N. Levels of parasitaemia and changes in some liver enzymes among malarial infected patients in Edo-Delta region of Nigeria. Curr Res J Biol Sci. 2011; 3: 78-81.
  55. Nigeria Malaria Fact Sheet. United states Embassy in Nigeria. 2011.
  56. A Road Map for Malaria Control in Nigeria. Nigeria and National Malaria Control Programme (NMCP). Federal Ministry of Health. 2009.
  57. National Population Commission National Malaria Control Programme ICF International. Nigeria malaria indicator survey 2010 final report. 2012.
  58. Okeke TA, Okeibunor JC. Rural-urban differences in health-seeking for the treatment of childhood malaria in south-east Nigeria. Health Policy. 2010; 95: 62-68.
  59. Orimadegun AE, Ilesanmi KS. Mothers understanding of childhood malaria and practices in rural communities of Ise-Orun, Nigeria: implications for malaria control. J Family Med Prim Care. 2015; 4: 226-231.
  60. Ministry of National Planning and Economic Development (Myanmar) and UNICEF: Situation Analysis of Children in Myanmar, Nay Pyi Taw 2012. 2012.
  61. Child health; Malaria mortality among children under five is concentrated in sub-Saharan Africa. 2017.
  62. WHO and UNICEF. Achieving the Malaria MDG Target: Reversing the Incidence of Malaria 2000-2015. 2015.
  63. Progress & impact series: focus on Nigeria. Country reports Number 4 Geneva WHO. 2012.
  64. Factsheet on the world malaria report 2013. 2013.
  65. Guidelines for the Treatment of Malaria. World Health Organization. 2012.
  66. World Health Organisation: Malaria in children under five. 2017.
  67. Treatment of Malaria. 2017.
  68. WHO Policy Recommendation: Seasonal Malaria Chemoprevention (SMC) for Plasmodium falciparum malaria control in highly seasonal transmission areas of the Sahel sub-region in Africa. World Health Organization. 2012.
  69. World Health Organization. 2011.
  70. World malaria report. Geneva World Health Organization. 2017.