Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2014 Aug 22;19(11):1294–1309. doi: 10.1111/tmi.12374

Malaria in school-age children in Africa: an increasingly important challenge

Joaniter Nankabirwa 1, Simon J Brooker 2, Sian E Clarke 2, Deepika Fernando 3, Caroline W Gitonga 2,4, David Schellenberg 2, Brian Greenwood 2
PMCID: PMC4285305  PMID: 25145389

Abstract

School-age children have attracted relatively little attention as a group in need of special measures to protect them against malaria. However, increasing success in lowering the level of malaria transmission in many previously highly endemic areas will result in children acquiring immunity to malaria later in life than has been the case in the past. Thus, it can be anticipated that in the coming years there will be an increase in the incidence of both uncomplicated and severe malaria in school-age children in many previously highly endemic areas. In this review, which focuses primarily on Africa, recent data on the prevalence of malaria parasitaemia and on the incidence of clinical malaria in African school-age children are presented and evidence that malaria adversely effects school performance is reviewed. Long-lasting insecticide treated bednets (LLIN) are an effective method of malaria control but several studies have shown that school-age children use LLINs less frequently than other population groups. Antimalarial drugs are being used in different ways to control malaria in school-age children including screening and treatment and intermittent preventive treatment. Some studies of chemoprevention in school-age children have shown reductions in anaemia and improved school performance but this has not been the case in all trials and more research is needed to identify the situations in which chemoprevention is likely to be most effective and, in these situations, which type of intervention should be used. In the longer term, malaria vaccines may have an important role in protecting this important section of the community from malaria. Regardless of the control approach selected, it is important this is incorporated into the overall programme of measures being undertaken to enhance the health of African school-age children.

Keywords: malaria, school-age children, Africa

Introduction

The age distribution of cases of malaria is influenced strongly by the intensity of malaria transmission. In areas where the population is exposed only occasionally to an infectious bite, malaria occurs in subjects of all ages, often most frequently in adults who have an occupational risk. In contrast, in areas of high transmission, the main burden of malaria, including nearly all malaria deaths, is in young children (Snow & Marsh 2002; Carneiro et al. 2010). Until recently, malaria transmission in most malaria endemic areas of sub-Saharan Africa was moderate or high and control measures consequently focussed on the protection of young children and pregnant women. However, enhanced control efforts have recently reduced the level of malaria transmission in many parts of sub-Saharan Africa (O'Meara et al. 2010; Noor et al. 2014) and in many areas where transmission was previously hyper or holo-endemic (malaria parasite prevalence in children aged 2–10 years)(PfPR2–10 > 50%) it has become mesoendemic. As a consequence children are acquiring immunity to malaria more gradually than in the past and clinical attacks, sometimes severe, are occurring in school-age children more frequently. However, the epidemiology and management of malaria in school-age children has, until recently, received little attention (Brooker et al. 2008; Brooker 2009). In this review, information on the current burden of malaria in African school-age children is presented and novel approaches that are being explored to control malaria in this increasingly important group are reviewed.

Methods

A structured review was undertaken of published literature on malaria in school-age children cited in PubMed using combinations of the following key terms: malaria, Plasmodium, anaemia, cognition, education, school children, schools, children, control, bed nets, treatment. This review was supplemented by consideration of additional papers generated by these searches or otherwise known to the authors. The review has focused primarily on studies from Africa published within the past 20 years, although other references are included when these are relevant to the current situation. We define school-age children as those aged between 5 and 14 years, although some studies have included children covering a wider age range.

The prevalence of malaria in African school-age children

In 2010, it was estimated that over 500 million school-age children were at risk of malaria infection, 200 million in sub-Saharan Africa (Table1) (Gething et al. 2011). Only a small number of surveys of the prevalence of Plasmodium falciparum in school-age African children have been undertaken, although there has been an increase in the number and geographical extent of schools surveyed in East Africa in recent years (Figure1a). Figure1b shows the prevalence rate observed in school-age children by geographical area based on data gathered and provided by the Malaria Atlas Project (www.map.ox.ac.uk).

Table 1.

Estimated school-age (5–14 years) population at risk of Plasmodium falciparum malaria in 2010 (figures in millions). Adapted from Gething et al. (2011)

Region Unstable risk Stable risk Total
America 11.80 6.41 18.21
Africa plus Yemen and Saudi Arabia 11.19 200.88 212.06
Central, South and East Asia 205.43 132.28 337.71
World 228.41 339.57 567.99

Fig 1.

Fig 1

Figure1a shows the frequency with which malaria surveys have been undertaken in school-age children over time and Figure1b the prevalence rate observed in school-age children by geographical area based on data gathered and provided by the MAP project (www.map.ox.ac.uk).

As expected, the prevalence of P. falciparum in African school-age children varies widely from area to area, even within the same country, depending on the level of transmission (Table2). For example, in Uganda 14–64% of school-age children were parasitaemic at any one time, with the parasite rate depending upon transmission setting and season (Nankabirwa et al. 2010; Pullan et al. 2010; Nankabirwa et al. 2013; Kabatereine et al. 2011). In neighbouring Kenya, the prevalence of infection in school-age children also varied widely from place to place; a country wide survey conducted in 480 Kenyan schools between September 2008 and March 2010 found an overall prevalence of malaria parasitaemia of 4%, but this ranged from 0 to 71% between schools (Gitonga et al. 2010, 2012). In Senegal, The Gambia, and Mauritania, the prevalence of infection in school-age children ranged from 5 to 50% (Dia et al. 2008; Ouldabdallahi et al. 2011; Clarke et al. 2012; Oduro et al. 2013) with prevalence rates showing marked seasonal variation. Surveys conducted in school-age children in the South West province of Cameroon (Nkuo Akenji et al. 2002; Kimbi et al. 2005, 2013; Achidi et al. 2008) found parasite rates in school age children of about 50%, with a lower rate among those living higher up Mount Cameroon.

Table 2.

Recent studies on the prevalence of malaria parasitaemia among school-age children

Country Transmission setting Age range (years) Year of survey Estimated prevalence (%) Source
East Africa
 Uganda High 8–14 2008 51 Nankabirwa et al. (2010)
High 5–9 2008 64 Pullan et al. (2010)
Moderate 10–12 2009–2010 46 Kabatereine et al. (2011)
High 6–14 2011 30 Nankabirwa et al. (2013)
High 6–15 2012 56.5 Uganda Malaria Surveillance Project (un-published)
Moderate 6–15 2012 16 Uganda Malaria Surveillance Project (un-published)
Low 6–15 2012 14 Uganda Malaria Surveillance Project (un-published)
 Kenya High 8–14 2002 23 Clarke et al. (2004)
Epidemic prone 8–14 2002 47* Clarke et al. (2004)
High 5–18 2005–2006 41 Clarke et al. (2008)
High 5–18 2008–2010 18 Gitonga et al. (2012)
Seasonal 5–18 2008–2010 2 Gitonga et al. (2012)
Moderate 5–18 2008–2010 3 Gitonga et al. (2012)
Low 5–18 2008–2010 <1 Gitonga et al. (2012)
 Tanzania High Mean 7.96 2005 35 Mboera et al. (2011)
High 0.5–14 2011 9–23 West et al. (2013)
West Africa
 Senegal Seasonal ≤9 2004–2005 9 Dia et al. (2008)
Seasonal 6–14 2004–2006 0.9 Ouldabdallahi et al. (2011)
Moderate-high seasonal 7–14 2011 54 Clarke et al. (2012)
 The Gambia Seasonal 6–12 2008–2009 17 Oduro et al. (2013)
Seasonal 4–21 2011 14 Takem et al. (2013)
 Cote d'Ivoire High 5–9 1998–1999 66 Assi et al. (2013)
High 6–10 2001–2002 67 Raso et al. (2005)
High 6–14 2006–2007 58 Rohner et al. (2010)
 Mali High, seasonal 6–14 2007–2008 42 Thuilliez et al. (2010)
High, seasonal 7–14 2011 83 Clarke et al. (2012)
 Nigeria High 8–16 2007–2008 26 Ojurongbe et al. (2011)
Central Africa
 Cameroon High 2–11 2002 30 Nkuo Akenji et al. (2002)
High 4–16 2006 40 Wanji et al. (2008)
High 4–12 2007 59 Achidi et al. (2008)
High 4–15 2009 34 Kimbi et al. (2013)
 Congo Brazzaville High 1–9 2010 16 Ibara-Okabande et al. (2012)
 Equatorial Guinea High 5–9 2009–2010 40.0 Rehman et al. (2011)
High 10–14 2009–2010 42.0 Rehman et al. (2011)
Other parts of Africa
 Ethiopia Low 5–16 2009 0–15 Ashton et al. (2011)
 Yemen Low 6–11 2001 13 Bin Mohanna et al. (2007)
 Somalia Low 5–14 2007 20.5 Noor et al. (2008)
 Mozambique High 5–7 2002–2003 48.1 Mabunda et al. (2008)
 Malawi High 5–9 2009–2010 53.0 Rehman et al. (2011)
High 10–14 2009–2010 52.0 Rehman et al. (2011)
*

Recorded during an outbreak.

The clinical consequences of malaria in school-age African children

Mortality

The number of school-age children who die from malaria each year is not known. A study by Snow et al. (2003) estimated that, at that time, malaria was responsible for 214 000 deaths per year among Africa school-age children, representing up to 50% of all deaths among this age group. More recently, Murray et al. (2012), using a combination of vital registration data and verbal autopsy data, estimated that in 2010 6–9% of all malaria deaths occur in the 5–14 year age group, giving a figure in the range of 70–110 000 deaths per year.

Clinical attacks of malaria

The incidence of clinical attacks of malaria in school-age African children is poorly defined because this age group is not included routinely in household-based cluster surveys such as malaria indicator surveys, demographic health surveys or multiple indicator cluster surveys. Information on the current incidence of malaria in school-age children is derived mainly from World Health Organisation (WHO) estimates and from occasional school-based, active case detection studies. The former usually depend upon country-based surveillance systems which currently detect only about 10% of clinical cases, with the detection rate being lowest in countries with the highest numbers of malaria cases (WHO 2012). The most frequent sources of information on the burden of disease in school-age children are research studies but these vary largely in their methodology (Table3). In 2002, Clarke et al. (2004) found an incidence of clinical attacks of malaria in children aged 8–14 years of 0.47 attacks per year during an outbreak in Nandi, Kenya and an incidence of 0.23% in Bondo, a high transmission setting. In Tororo, Uganda, 7% of children aged 6–14 years experienced a clinical attack of malaria during 42 days of follow-up (Nankabirwa et al. 2010) and in 2011 an incidence of 0.34 clinical episodes of malaria per child per year was recorded in the same area (Nankabirwa et al. 2014). The incidence of clinical episodes of malaria in children enrolled in the control arm of a trial in Cote d'Ivoire was 39% during a 6-month period of follow-up (Rohner et al. 2010) and in a trial in Mali it was 56% during a 9-month period of follow-up (Barger et al. 2009). We are unaware of any systematic studies that have documented changes in the incidence of clinical malaria in school-age children over time.

Table 3.

Recent, published reports of the incidence of malaria in school-age children

Location Transmission setting Year Method Follow-up period Sample size Age range years Observed incidence Calculated annual incidence* Source
Year-round transmission
 Uganda High perennial 2011 Active case detection through daily roll call 12 months 740 6–14 83 episodes/242.7 child-years at risk 0.34 episodes/child/year Nankabirwa et al. (2014)
 Kenya High perennial 2002 Active case detection by visiting children 2–3 times per week 11 weeks 276 8–14 0.005/child-weeks at risk 0.26/child/year Clarke et al. (2004)
 Kenya Epidemic prone 2002 Active case detection by visiting children 2–3 times per week 11 weeks 330 8–14 0.029/child-weeks at risk 1.5/child/year during epidemic outbreak Clarke et al. (2004)
 Ghana Moderate 2002 Active case detection through weekly visits 9 months 352 6–10 0.22–0.25/child/year 0.22–0.25/child/year Dodoo et al. (2008)
Highly seasonal transmission
 Burkina Faso High, seasonal 2003 Active case detection through daily visits 4 months 51 6–8 2.7/child-year at risk 2.7/child/year Nebie et al. (2008)
65 8–11 0.59/child-year at risk 0.59/child/year
65 11–15 0.37/child-year at risk 0.37/child/year
 Mali High, Seasonal 2007–2008 Active case detection through monthly visits 8 months 98 6–13 1.46/child-year at risk 1.46/child/year Barger et al. (2009)
 Gambia Seasonal 2008–2009 Active case detection through weekly visits 22 weeks 439 6–15 0.004/child-week at risk 0.025/child/year Ceesay et al. (2010)
Other
 Ethiopia Low 2009–2011 Active case detection through weekly visits and passive detection of cases between the weekly visits 101 weeks 2075 5–14 110/2075 for 101 weeks 0.03/child/year Loha and Lindtjørn (2012)
*

Calculation of the annual incidence assumes uniform incidence throughout the year for areas of perennial transmission, In areas of highly seasonal transmission where transmission is limited to a few months each year, total annual incidence is assumed to equate to that measured during the period of observation.

Data collected during an intervention trial; incidence data refer to observations in the control arm.

Anaemia

Anaemia is prevalent among school-age children in the tropics. Its aetiology is usually multi-factorial but it is likely that, in many communities, malaria plays an important role (Kassebaum et al. 2014). The strongest evidence that malaria is an important cause of anaemia in children comes from intervention studies, but these have focused largely on those under 5 years of age (Korenromp et al. 2004). An early study of the impact of indoor residual spraying (IRS) on individuals living in the Taveta-Pare area of Kenya and Tanzania found that the haemoglobin concentration increased by 13 g/l among children aged 5–9 years old as a consequence of an IRS programme (Draper 1960). More recently, Clarke et al. (2008) showed that intermittent preventive treatment (IPT) with sulfadoxine-pyrimethamine (SP) in combination with amodiaquine (AQ) significantly reduced the prevalence of anaemia during 12 months of follow-up in a large trial conducted in Kenyan schoolchildren. Similarly, Nankabirwa et al. (2010) demonstrated that IPT with SP + AQ or dihydroartemisinin-piperaquine (DHA-PQ) improved the haemoglobin concentration of Ugandan school-age children over a follow up period of 42 days and these investigators showed that monthly IPT with DHA-PQ given over 1 year significantly also reduced the risk of anaemia in children in the same age group (Nankabirwa et al. 2014).

The educational consequences of malaria in school-age African children

An important reason underlying a recent interest in malaria in school-age children is the concern that malaria may interfere with a child's educational development.

Malaria and school-absenteeism

There is strong evidence that malaria is an important cause of school absenteeism. A study undertaken in Nigeria showed that malaria caused an average loss of three school days per episode (Erinoso & Bamgboye 1988). Evidence suggests that between 0.001 and 0.021 days are lost from school due to malaria per child per annum, accounting for between 2% and 8% of all episodes of absenteeism (Colbourne 1955; Trape et al. 1987, 1993). Malaria is thought to account for between 13% and 50% of the medical reasons for absenteeism from school. The educational impact of malaria is greater for primary school children than secondary school children: a study in Kenya found that malaria caused a loss of 11% and 4.3% of the school year for primary and secondary school students respectively (Leighton & Foster 1993). Another study, undertaken in the highlands of Kenya, estimated that during a malaria epidemic, malaria-related absenteeism in primary school pupils varied between 17% and 54% (Some 1994). The estimated annual loss of school days in Kenya due to malaria in 2000 was estimated to be 4–10 million days (Brooker et al. 2000).

Cognitive function

Several studies have shown that children who survive an episode of cerebral malaria may have residual impairment of cognition, speech, language and/or motor skills (Carter et al. 2005a,b, 2006; Boivin et al. 2007). In Côte d'Ivoire, cognitive defects persisted for at least 2 years after an episode of cerebral malaria (John et al. 2008) and similar findings were recorded in Ugandan children (Boivin et al. 2007). In Malawi, children with retinopathy-positive cerebral malaria had a persistent defect in language development (Boivin et al. 2011).

Cerebral malaria, a relatively uncommon outcome of malaria infection, is not a pre-requisite for cognitive impairment which may occur during the course of an uncomplicated clinical episode of malaria (Fernando et al. 2003a,b), and repeated episodes of uncomplicated malaria may have long-term effects (Fernando et al. 2003a,b). There is even some evidence that asymptomatic parasitaemia can impair cognitive function. In the Yemen, Al Serouri et al. (2000) showed that children with parasitaemia performed less effectively on formal cognitive testing than children without parasitaemia, even after adjusting for confounding factors. This was also the case in Uganda (Nankabirwa et al. 2013) and in Mali, although in Mali the effect was not as marked as in children with clinical malaria (Thuilliez et al. 2010). In Zambia, a strong association was found between exposure to malaria and cognitive skills and socio-emotional development in young children (mean age 74 months) (Fink et al. 2013).

The strongest evidence that malaria impairs cognitive function comes from intervention trials. In Sri Lanka, a randomized, placebo controlled, double-blind trial of chloroquine prophylaxis in children aged 6–12 years showed that educational attainment improved and that school absenteeism was reduced significantly (P < 0.0001) in children who took malaria prophylaxis (Fernando et al. 2006). In The Gambia, the educational achievement of children with an average of 17 years was better in those who had received malaria chemoprophylaxis during their first five years of life than in children who had received placebo (Jukes et al. 2006). In a more recent, larger, stratified, cluster-randomized, double-blind, placebo-controlled trial conducted in Kenya, IPT with SP + AQ significantly improved sustained attention of 10–12 year old schoolchildren (Clarke et al. 2008) and similar findings were obtained in a recent trial in school children in Mali (Clarke et al. 2013a,b).

Treatment of malaria in school-age African children

In many parts of Africa, there are still geographical and financial barriers that prevent school-age children obtaining rapid access to diagnosis and treatment of malaria, and several approaches have been made to try to overcome these barriers.

Education

Schools can play a vital role in ensuring that their pupils understand the importance of obtaining rapid access to diagnosis and treatment of malaria by providing appropriate health education in school but, unfortunately, this is rarely part of the school curriculum. A content analysis of school text books in nine countries in Africa and Asia found that most included information on the mode of transmission of malaria and on the signs and symptoms of malaria but little about insecticide-treated nets (ITNs) or about the need for prompt and appropriate treatment of a clinical attack (Nonaka et al. 2012).

Diagnosis and treatment at school

Prompt and effective treatment of malaria can be enhanced by provision of treatment at school. In the past, when first-line treatment was either chloroquine or SP, training teachers to provide treatment (without parasitological diagnosis) was shown to be both feasible and to reduce school absenteeism and malaria deaths (Pasha et al. 2003; Afenyadu et al. 2005). However, now that WHO strongly recommends diagnosis before treatment (Test, Treat, Track), teachers need to learn how to use rapid diagnostic tests (RDTs) as well as give treatment. Encouraging experience with community volunteers and private shopkeepers suggests that this should not pose a major challenge, and an ongoing study is evaluating the impact of teacher-based diagnosis and treatment in Malawi.

Prevention of malaria in school-age African children

A number of strategies to prevent malaria in school age children, delivered either though schools or as part of community-wide control, have been explored.

Insecticide-treated nets

There is strong evidence that, at the individual level, regular use of an ITN or long lasting insecticide treated net (LLIN) substantially lowers the risks of malaria (Lengeler 2004; Lim et al. 2011) and that an additional, indirect ‘herd’ effect is achieved when a high level of ITN coverage is obtained. Thus, most LLIN distribution programmes now aim at achieving universal coverage. As children become older and more independent, parents have less control over the time when they go to bed, where they sleep, and whether they use a net, frequently resulting in low net coverage in children in this age group. A 2009 analysis of household surveys, undertaken between 2005 and 2009 in 18 African countries, found that school-aged children were the group least likely to sleep under an ITN the previous night, with between 38% and 42% of school-aged children being unprotected (Noor et al. 2009). Similar low ITN usage rates have been observed among school-age children in Cameroon (Tchinda et al. 2012), Kenya (Atieli et al. 2011) and Uganda (Pullan et al. 2010; Nankabirwa et al. 2013) (Figure2). Education targeted directly at older children, for example through malaria education in schools, is likely to be the most effective way of increasing regular use of ITNs in this age group. For example, a study in Mali that followed a universal net distribution campaign found that substantially more school-age children reported using nets at the end of the malaria transmission season in schools that delivered malaria education compared to control schools (Natalie Roschnik, personal communication).

Fig 2.

Fig 2

The prevalence of malaria parasitaemia by age (solid circles) and of reported use of a bednet on the previous night in Uganda. Panel (a) females, panel (b) males (Pullan et al. 2010, reproduced with permission).

Few studies have investigated the efficacy of ITNs in school-age children specifically. An early trial in an area of low malaria transmission in central Kenya showed that, following a round of effective antimalarial treatment, sleeping under an untreated mosquito net reduced the incidence of clinical malaria, but did not reduce anaemia among children in a rural boarding school (Nevill et al. 1988). A reduction in the incidence of malaria was also shown in a randomised trial among 4–15 year olds on the Thai-Burmese border where malaria transmission is unstable (Luxemburger et al. 1994). In western Kenya, where malaria transmission is perennial and high, a community-based trial of permethrin-treated mosquito nets showed that the use of ITNs halved the prevalence of mild anaemia in adolescent schoolgirls aged 12–13 years but was less effective in preventing anaemia among schoolgirls aged 6–10 years (Leenstra et al. 2003). Recent cross-sectional surveys undertaken among school-age children in Somalia (Noor et al. 2008) and in Uganda (Pullan et al. 2010) suggested that net use was associated with a 71% and 43% lower risk of P. falciparum infection. An analysis of countrywide data from school surveys in Kenya (Gitonga et al. 2012) showed that ITN use was associated with a reduction in the odds of malaria infection and anaemia in coastal areas, where malaria transmission is low to moderate and among boys in western lakeshore Kenya where transmission is high.

Indoor residual spraying

Indoor residual spraying, the application of long acting insecticides to the walls and roofs of houses and, in some cases, public buildings and domestic animal shelters, is an effective method of malaria control. When IRS is implemented as a community-wide campaign it can achieve marked reductions in the incidence and prevalence of malaria infection in all age groups (Pluess et al. 2010). Repeated IRS campaigns conducted between 1955 and 1959 in the Pare Taveta region of Tanzania reduced malaria parasitaemia from 73 to 7%, and from 62 to 4% in children aged 5–9 years and 10–14 years, respectively (Draper 1960). More recently, targeted IRS conducted over 12 months in the epidemic-prone Kenyan highlands halved the monthly prevalence of asymptomatic infection in school children and reduced the incidence of clinical malaria (Zhou et al. 2010).

Reduction of breeding sites

Larval control may be effective in urban areas and in a few other epidemiological situations in Africa, such as the Kenyan highlands (Fillinger & Lindsay 2011), but it is generally not a cost effective approach to malaria control in rural areas of sub-Saharan Africa. Thus, there is likely to be little health benefit from encouraging school children to destroy potential breeding sites in school grounds, although this may help to reduce numbers of ‘nuisance’ mosquitoes.

Chemoprophylaxis

Chemoprophylaxis, the regular administration of anti-malarial drugs to those at risk over a sustained period of time in order to obtain persistent, protective blood levels is not generally recommended for residents of malaria endemic areas because of the threat that this will enhance drug resistance, problems with adherence and cost. However, there is compelling evidence for the benefits of chemoprophylaxis in school-age children. In an early study in Ghana, chemoprophylaxis reduced school absenteeism significantly (Colbourne 1955). In Liberia, it halved the incidence of clinical attacks in children aged 2–9 years (Björkman et al. 1986) and in Tanzania it had a similar impact in those 5–9 years old (Lemnge et al. 1997). A 2003 review of trials of malaria chemoprophylaxis in the population of malaria endemic areas reported significant health impacts in nearly all studies (Prinsens Geerligs et al. 2003). Most of these studies focused on young children, but in 30 of the 36 trials that examined infection rates in children over 5 years of age, reductions in malaria parasitaemia ranging from 21 to 100% were seen. A more recent review confirmed these findings (Meremikwu et al. 2008). At the time when malaria parasites were highly sensitive to choloquine, ‘chloroquinisation’ of schoolchildren during the peak transmission season was widely deployed in some countries in West Africa such as Senegal.

Intermittent preventive treatment

Intermittent preventive treatment – the periodic administration of a full therapeutic dose of an antimalarial or antimalarial combination to groups at increased risk of malaria, an approach used widely in pregnant women (IPTp) and effective in infants (IPTi) is an alternative to chemoprophylaxis. IPT is now being tested in school age children in two ways – intermittent parasite clearance in schools (IPCs) and seasonal malaria chemoprevention (SMC).

IPCs involves the administration of IPT on a periodic basis to school children to clear asymptomatic malaria infections and to aid haematological recovery during the ensuing malaria-free period. Studies which have evaluated IPCs in school-age children are summarised in Table4. The first study of IPCs (then called IPT), conducted in schools in western Kenya, showed that IPCs with SP and AQ given once a term significantly reduced malaria parasitaemia and anaemia and significantly improved sustained attention, as described above (Clarke et al. 2008). However, the spread of resistance to SP and AQ, and subsequent withdrawal of these drugs in many East African countries, has precluded further investigation of IPCs using these drugs in this part of Africa. Studies using alternative drugs for IPCs, including DHA-PQ, have shown a similar impact on parasitaemia and anaemia, as well as on clinical malaria (Barger et al. 2009; Nankabirwa et al. 2010; Clarke et al. 2013b; Nankabirwa et al. 2014) (Table4). If IPCs is to be deployed, the drug combination used and the timing of treatments need to be adapted to suit the local epidemiology. IPCs is likely to be most effective in settings where a high proportion of children harbour asymptomatic infections and/or where malaria is a major cause of anaemia.

Table 4.

Summary of the results of recent trials of chemoprevention in school-age children

Study setting Population Type Treatment regimen Study drug Protective efficacy Source
Clinical malaria Malaria parasitaemia Anaemia
Year-round transmission
 W Kenya 6735 children aged 5–18 years; 30 schools IPCs Treatment once every school term (three treatments per annum) SP + AQ Not examined 89% (73–95%) 48% (8–71%) Clarke et al. (2008)
 Cote d' Ivoire 591 children aged 6–14 years; one school IPCs IPCs at month 0 and month 3 (two treatments per annum) SP Not examined No impact No impact Rohner et al. (2010)
 Uganda 780 children; three schools IPCs Single course of treatment PE measured after 42 days SP Not examined No impact No impact Nankabirwa et al. (2010)
SP + AQ Not examined 48.0% (38.4–51.2%) Mean change Hb + 0.37 (0.18–0.56)
DP Not examined 86.1% (79.5–90.6%) Mean change Hb + 0.34 (0.15–0.53)
 Uganda 740 children; one school IPCs Treatment once a school term (four treatments per annum) DP No impact 54% (47–60%) No impact Nankabirwa et al. (2014)
IPCs Treatment once every month (12 treatments per annum) DP 96% (88–99%) 94% (92–98%) 40% (19–56%)
Highly seasonal transmission
 Mali 262 children aged 5–10 years; one village SMC Two treatments 8 weeks apart during the malaria season: (two treatments per annum) SP 36% (12–53%) Not examined Not examined Dicko et al. (2002)
 Mali 296 children aged 6–13 years; one village SMC Two treatments 8 weeks apart during the malaria season: (two treatments per annum) SP + AS 66.6% 80.7% 59.8% Barger et al. (2009)
AQ + AS 46.5% 75.5% 54.1%
 Mali 1815 children aged 6–14 years; 38 schools IPCs Single treatment at end of the malaria season (one treatment per annum) SP + AS Not examined 99% (98%–100%) 38% (9–58%) Clarke et al. (2013b)
 Senegal 1000 children < 10 years old; eight villages SMC Two treatments given monthly towards end of malaria season: (two treatments per annum) SP + AQ 79% (10–96%) 57% (5–81%) 41% (18–58%) Tine et al. (2011)

IPCs, Intermittent parasite clearance in schools; IST, intermittent screening and treatment; SMC, seasonal malaria chemoprevention; SP, sulphadoxine/pyrimethamine; AQ, amodiaquine; AS, artesunate; DP, dihydropiperaquine.

Seasonal malaria chemoprevention involves monthly administration of IPT for up to 4 months of the year to coincide with the annual peak in malaria transmission to all subjects in the target age group without prior screening. This intervention has been highly effective in reducing the incidence of clinical malaria and anaemia in young children (Wilson 2011). In 2012, WHO recommended implementation of SMC with SP + AQ for children under 5 years of age in areas of the Sahel and sub-Sahel where transmission of malaria is highly seasonal. Although less extensively researched, and not yet recommended by WHO, there is evidence that SMC is as effective in school-age children as in the children under the age of 5 years in whom most of the initial studies were done (Tine et al. 2011, 2014). The greatest impact of SMC has been seen when drugs are given monthly for four consecutive months during the peak malaria transmission season, although even two annual treatments, when timed to coincide with the peak of malaria transmission, can halve the incidence of malaria in school-age children (Dicko et al. 2008; Barger et al. 2009).

Intermittent screening and treatment

An alternative to chemoprevention is intermittent screening and treatment (IST), an intervention in which individuals are screened periodically for malaria using a RDT and those infected (whether symptomatic or not) treated with a full course of an effective anti-malarial drug combination. The potential role of IST in malaria control has been shown by modelling (Kern et al. 2011) and demonstrated to be effective in the control of malaria in pregnant women (Tagbor et al. 2010). IST is particularly suited to areas where the use of first-line artemisinin combination therapy would be needed for preventive treatment due to resistance to other drugs or where malaria risk is low or highly focal. A recent population-based study of IST in Burkina Faso where malaria transmission is intense showed no impact on the incidence of clinical malaria in children under the age of 5 years or on malaria transmission (Tiono et al. 2013), and a cluster randomised trial in schools on the coast of Kenya, where transmission is low to moderate, found no impact of IST on health or cognition (Halliday et al. 2014). Possible reasons for the absence of an impact in these studies are the inability of most currently available RDTs to detect low-density parasitaemia and a high rate of re-infection following treatment in the areas where these studies were done. The potential for this approach to control of malaria in school-age children, especially in low or highly focal transmission areas, needs further investigation.

Vaccination

RTS,S/AS01, the most highly developed malaria vaccine, has shown partial protection against malaria in children vaccinated at the aged of 5–17 months or at the ages of 6, 10 and 14 weeks with protection being greater and more persistent in children in the older age group (RTS,S Clinical Trials Partnership 2011; RTS,S Clinical Trials Partnership 2012). Initial, age de-escalation studies showed that the vaccine is safe and immunogenic in school-age children (Bojang et al. 2005) but no large-scale trial of efficacy in school-age children has been done.

Costs and cost-effectiveness of different malaria control strategies in children

Few data exist on the cost or cost-effectiveness of different approaches to control of malaria in school-age children, with estimates available only for IPCs and IST. The delivery of three rounds of IPCs by teachers was estimated to cost US1.88 per child per year, with drug and teacher training costs constituting the largest cost components (Temperley et al. 2008). A comprehensive school-based malaria prevention programme, which combined education, ITNs and IPCs cost 8.66 per year per child, with the IPCs component accounting for $2.72 per year (Natalie Roschnik, personal communication). Because of the costs of RDTs, IST is more expensive than IPCs (Drake et al. 2011). In terms of cost-effectiveness, the estimated cost per anaemia case averted through IPCs was estimated to be US$ 29.84 and the cost per case of malaria parasitaemia averted to be US$ 5.36 (Temperley et al. 2008). These estimates fall within the range of per capita costs of other malaria control strategies. Simultaneous delivery by teachers of both IPCs and deworming as part of an integrated school health package could yield economies of scope and increase cost-effectiveness.

Conclusions

Better data are needed on the burden of malaria in school-age children to inform global policy makers and funders of the increasing importance of malaria in this age group and to ensure appropriate interactions between educational and health providers at national level. A standardised approach would improve the ability to monitor progress in this special group, and to document any changes in the risk of clinical malaria. Systems to capture episodes of clinical and fatal malaria in school-age children need not be school-based, but should summarise data for this specific risk group. The potential of serological tests to help in evaluating the burden of malaria in school-age children needs to be evaluated further. Operational research is needed to determine how best to raise awareness of the importance of malaria in school-age children and on how to improve the use of established control measures such as ITNs in this age group. Improving the malaria-relevant content of school curricula will help children to help themselves and equip them with the understanding needed to accept new approaches to control of malaria; for example, the value of blood testing for parasitological diagnosis to guide appropriate treatment.

Further clinical and modelling studies are needed to understand the potential role of drugs in preventing malaria in school-age children. Seasonal chemoprevention, IPCs and IST may all have a role to play but at present it is not clear in which settings each of these approaches might be most effective and cost effective. Mass treatment approaches are least likely to be cost effective in settings of low or highly focal transmission. However, the transmission threshold at which to introduce, or withdraw, chemoprevention will only become clear through the modelling of empirical data. The optimal characteristics of drugs for IPCs and IST are likely to include low cost, a very good safety profile, exceptional tolerability, long half life and a single dose treatment. A rigorous target product profile would help guide the development of drugs for the prevention of malaria in school-age children. If RTS,S/AS01 is licensed for use in young children, a decision that may be made in 2015/6, further studies will be needed to determine if this vaccine could be of value in the prevention of malaria in school-age children and even if this is not the case, other malaria vaccines in development may be able to do so.

On the basis of the data currently available, some recommendations can be made about the management of malaria in school-age children (Box 1) but much more needs to be learnt about how to do this more effectively (Box 2). More effective control of malaria is only one part of the drive to improve the health and education of school-age children and more work is needed on how and when to integrate malaria control strategies with other school-based programmes, for example those that deliver deworming and nutritional interventions. An increase in malaria among school-aged children can be anticipated as malaria control improves across sub-Saharan Africa. National malaria control programmes need to have in place effective strategies to deal with this new challenge and researchers need to provide the necessary evidence on which to base new control programmes.

Box 1 Policy recommendations for the control of malaria in school-age children.

  • Education about causes of malaria, its clinical features and ways of diagnosing, treating and preventing the infection should be an important part of the curriculum of all schools in areas where the school-age population is at risk of malaria infection.

  • National malaria control programmes need to pay increasing attention to the problem of malaria in school-age children as the overall incidence of malaria declines and, as a consequence, the proportion of cases of malaria in older children increases.

  • All school-age children resident in an area where they are at risk from malaria should sleep under an ITN.

  • School-age children who develop clinical malaria must be able to recognise the nature of their illness and have easy and rapid access to reliable diagnosis and effective treatment either in their school or at a nearby health facility.

Box 2 Six research priorities for gaining a better understanding of the challenges of malaria in school-age children.

Epidemiology

  • Acquisition of better knowledge of the magnitude and features of malaria in school age children, especially in areas where the overall incidence of malaria is declining.

Pathogenesis

  • Investigation of the importance of malaria as a cause of anaemia in school-age children and of how this anaemia is caused.

  • Investigation of the mechanisms by which severe and uncomplicated malaria impair cognition and educational achievement.

Treatment

  • Investigation of how effectively, and cost effectively, malaria can be diagnosed, using a rapid diagnostic test, and treated effectively by school staff in different settings.

Prevention

  • Finding ways of improving coverage with ITNs by school-age children.

  • Investigation of the comparative advantages and cost effectiveness of intermittent parasite clearance and of screen and treat programmes in the prevention of malaria in school-age children in different transmission settings and of the circumstances which favour one or other approach.

  • Exploration of the potential for vaccination to prevent malaria in school-age children.

Acknowledgments

We thank Katherine Halliday for developing Figures 1 and 2. SJB is supported by a Senior Fellowship in Basic Biomedical Science from the Wellcome Trust and SEC is supported by a Research Career Development Fellowship from the Wellcome Trust.

References

  1. Achidi EA, Apinjoh TO, Mbunwe E, et al. Febrile status, malarial parasitaemia and gastro-intestinal helminthiases in schoolchildren resident at different altitudes, in south-western Cameroon. Annals of Tropical Medicine and Parasitology. 2008;102:103–118. doi: 10.1179/136485908X252287. [DOI] [PubMed] [Google Scholar]
  2. Afenyadu GY, Agyepong IA, Barnish G. Adjei S. Improving access to early treatment of malaria: a trial with primary school teachers as care providers. Tropical Medicine and International Health. 2005;10:1065–1072. doi: 10.1111/j.1365-3156.2005.01484.x. [DOI] [PubMed] [Google Scholar]
  3. Al Serouri AW, Grantham-McGregor SM, Greenwood B. Costello A. Impact of asymptomatic malaria parasitaemia on cognitive function and school achievement of schoolchildren in the Yemen Republic. Parasitology. 2000;121:337–345. doi: 10.1017/s0031182099006502. [DOI] [PubMed] [Google Scholar]
  4. Assi SB, Henry MC, Rogier C, et al. Inland rice production systems and malaria infection and disease in the forest region of western Cote d'Ivoire. Malaria Journal. 2013;12:233. doi: 10.1186/1475-2875-12-233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Ashton RA, Kefyalew T, Tesfaye G, et al. School-based surveys of malaria in Oromia Regional State, Ethiopia: a rapid survey method for malaria in low transmissions settings. Malaria Journal. 2011;3:10. doi: 10.1186/1475-2875-10-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Atieli HE, Zhou G, Afrane Y, et al. Insecticide-treated net (ITN) ownership, usage, and malaria transmission in the highlands of western Kenya. Parasites & Vectors. 2011;4:113. doi: 10.1186/1756-3305-4-113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Barger B, Maiga H, Traore OB, et al. Intermittent preventive treatment using artemisinin-based combination therapy reduces malaria morbidity among school-aged children in Mali. Tropical Medicine and International Health. 2009;14:784–791. doi: 10.1111/j.1365-3156.2009.02294.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bin Mohanna MA, Bin Ghouth AS. Rajaa YA. Malaria signs and infection rate among asymptomatic schoolchildren in Hajr Valley, Yemen. Eastern Mediterranean Health Journal. 2007;13:35–40. [PubMed] [Google Scholar]
  9. Björkman A, Brohult L, Pehrson PO, et al. Monthly antimalarial chemotherapy to children in a holendemic area of Liberia. Annals of Tropical Medicine and Parasitology. 1986;80:155–167. doi: 10.1080/00034983.1986.11812000. [DOI] [PubMed] [Google Scholar]
  10. Boivin MJ, Bangirana P, Byarugaba J, et al. Cognitive impairment after cerebral malaria in children: a prospective study. Pediatrics. 2007;119:360–366. doi: 10.1542/peds.2006-2027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Boivin MJ, Gladstone MJ, Vokhiwa M, et al. Development outcomes in Malawian children with retinopathy-positive cerebral malaria. Tropical Medicine and International Health. 2011;16:263–271. doi: 10.1111/j.1365-3156.2010.02704.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bojang KA, Olodude F, Pinder M, et al. Safety and immunogenicity of RTS, S/AS02A candidate malaria vaccine in Gambian children. Vaccine. 2005;23:4148–4157. doi: 10.1016/j.vaccine.2005.03.019. [DOI] [PubMed] [Google Scholar]
  13. Brooker S. Malaria Control in Schools: A Toolkit on Effective Education Sector Responses to Malaria in Africa. Washington, DC, USA and Partnership for Child Development London: World Bank; 2009. p. 48. [Google Scholar]
  14. Brooker S, Guyatt H, Omumbo J, et al. Situation analysis of malaria in school-aged children in Kenya – what can be done? Parasitology Today. 2000;16:183–186. doi: 10.1016/s0169-4758(00)01663-x. [DOI] [PubMed] [Google Scholar]
  15. Brooker S, Clarke S, Snow RW. Bundy DAP. Malaria in African schoolchildren – options for control. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2008;102:304–305. doi: 10.1016/j.trstmh.2008.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Carneiro I, Roca-Feltrer A, Griffin JT, et al. Age-patterns of malaria vary with severity, transmission intensity and seasonality in sub-Saharan Africa: a systematic review and pooled analysis. PLoS One. 2010;5:e8988. doi: 10.1371/journal.pone.0008988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Carter JA, Mung'ala-Odera V, Neville BG, et al. Persistent neurocognitive impairments associated with severe falciparum malaria in Kenyan children. Journal of Neurology, Neurosurgery and Psychiatry. 2005a;76:476–481. doi: 10.1136/jnnp.2004.043893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Carter JA, Ross AJ, Neville BG, et al. Developmental impairments following severe falciparum malaria in children. Tropical Medicine and International Health. 2005b;10:3–10. doi: 10.1111/j.1365-3156.2004.01345.x. [DOI] [PubMed] [Google Scholar]
  19. Carter JA, Lees JA, Gona JK, et al. Severe falciparum malaria and acquired childhood language disorder. Developmental Medicine and Child Neurology. 2006;48:51–57. doi: 10.1017/S0012162206000107. [DOI] [PubMed] [Google Scholar]
  20. Ceesay SJ, Casals-Pascual C, Nwakanma DC, et al. Continued decline of malaria in The Gambia with implications for elimination. Malaria Journal. 2010;5:e12242. doi: 10.1371/journal.pone.0012242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Clarke SE, Brooker S, Njagi JK, et al. Malaria morbidity among school children living in two areas of contrasting transmission in western Kenya. American Journal of Tropical Medicine and Hygiene. 2004;71:732–738. [PubMed] [Google Scholar]
  22. Clarke SE, Jukes MC, Njagi JK, et al. Effect of intermittent preventive treatment of malaria on health and education in schoolchildren: a cluster-randomised, double-blind, placebo-controlled trial. Lancet. 2008;372:127–138. doi: 10.1016/S0140-6736(08)61034-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Clarke S, Roschnik N, Rouhani S, et al. Malaria in school children under a new policy of universal coverage of nets: recent data from Mali and Senegal. American Journal of Tropical Medicine and Hygiene. 2012;87(Suppl 1):445. [Google Scholar]
  24. Clarke S, Rouhani S, Diarra S, et al. Intermittent parasite clearance in schoolchildren: impact on cognition in an area of highly seasonal transmission. American journal of Tropical Medicine and Hygiene. 2013a;89(Suppl 1):296. [Google Scholar]
  25. Clarke S, Rouhani S, Diarra S, et al. The impact of intermittent parasite clearance on malaria, anaemia, and cognition in schoolchildren: new evidence from an area of highly seasonal transmission. Tropical Medicine and International Health. 2013b;18(Suppl 1):64. [Google Scholar]
  26. Colbourne M. The effect of malaria suppression in a group of Accra school children. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1955;49:356–369. doi: 10.1016/0035-9203(55)90058-4. [DOI] [PubMed] [Google Scholar]
  27. Dia I, Konate L, Samb B, et al. Bionomics of malaria vectors and relationship with malaria transmission and epidemiology in three physiographic zones in the Senegal River Basin. Acta Tropica. 2008;105:145–153. doi: 10.1016/j.actatropica.2007.10.010. [DOI] [PubMed] [Google Scholar]
  28. Dicko A, Sagara S, Sissoko MS, et al. Impact of intermittent preventive treatment with sulphadoxine-pyrimethamine targeting the transmission season on the incidence of clinical malaria children in Mali. Malaria Journal. 2008;1:1–9. doi: 10.1186/1475-2875-7-123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Dodoo D, Aikins A, Kusi KA, et al. Cohort study of the association of antibody levels to AMA1, MSP119, MSP3 and GLURP with protection from clinical malaria in Ghanaian children. Malaria Journal. 2008;7:142. doi: 10.1186/1475-2875-7-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Drake T, Okello G, Njagi K, et al. Cost analysis of school-based intermittent screening and treatment of malaria in Kenya. Malaria Journal. 2011;10:273. doi: 10.1186/1475-2875-10-273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Draper CC. Effect of malaria control on haemoglobin levels. British Medical Journal. 1960;1:1480–1483. doi: 10.1136/bmj.1.5184.1480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Erinoso AO. Bamgboye EA. Sickness absenteeism in a Nigerian polytechnic (1988) African Journal of Medical Sciences. 1988;17:57–61. [PubMed] [Google Scholar]
  33. Fernando D, de Silva D. Wickremasinghe R. Short-term impact of an acute attack of malaria on cognitive performance of schoolchildren living in a malaria-endemic area of Sri Lanka. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2003a;97:633–639. doi: 10.1016/s0035-9203(03)80093-7. [DOI] [PubMed] [Google Scholar]
  34. Fernando SD, Gunawardena DM, Bandara MRSS, et al. The impact of repeated malaria attacks on the school performance of children. American Journal of Tropical Medicine and Hygiene. 2003b;69:582–588. [PubMed] [Google Scholar]
  35. Fernando D, de Silva D, Carter R, et al. A randomized, double-blind, placebo-controlled, clinical trial of the impact of malaria prevention on the educational attainment of school children. American Journal of Tropical Medicine and Hygiene. 2006;74:386–393. [PubMed] [Google Scholar]
  36. Fillinger U. Lindsay SW. Larval source management for malaria control in Africa: myths and reality. Malaria Journal. 2011;10:353. doi: 10.1186/1475-2875-10-353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Fink G, Olgiati A, Hawela M, Miller JM. Matafwali B. Association between early childhood exposure to malaria and children's pre-school development: evidence from the Zambia early childhood development project. Malaria Journal. 2013;12:12. doi: 10.1186/1475-2875-12-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gething PW, Patil AP, Smith DL, et al. A new world malaria map: Plasmodium falciparum endemicity in 2010. Malaria Journal. 2011;10:378. doi: 10.1186/1475-2875-10-378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Gitonga CW, Karanja PN, Kihara J, et al. Implementing school malaria surveys in Kenya: towards a national surveillance system. Malaria Journal. 2010;9:306. doi: 10.1186/1475-2875-9-306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Gitonga CW, Edwards T, Karanja PN, et al. Plasmodium infection, anaemia and mosquito net use among school children across different settings in Kenya. Tropical Medicine and International Health. 2012;17:858–870. doi: 10.1111/j.1365-3156.2012.03001.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Halliday KE, Okello G, Turner EL, et al. Impact of intermittent screening and treatment for malaria among schoolchildren in Kenya:a cluster randomised trial. PLoS Medicine. 2014;11:e1001594. doi: 10.1371/journal.pmed.1001594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Ibara-Okabande R, Koukouikila-Koussounda F, Ndounga M, et al. Reduction of multiplicity of infections but no change in msp2 genetic diversity in Plasmodium falciparum isolates from Congolese children after introduction of artemisinin-combination therapy. Malaria Journal. 2012;11:410. doi: 10.1186/1475-2875-11-410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. John CC, Bangirana P, Byarugaba J, et al. Cerebral malaria in children is associated with long-term cognitive impairment. Pediatrics. 2008;122:92–99. doi: 10.1542/peds.2007-3709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Jukes MC, Pinder M, Grigorenko EL, et al. Long-term impact of malaria chemoprophylaxis on cognitive abilities and educational attainment: follow-up of a controlled trial. PLoS Clinical Trials. 2006;1:e19. doi: 10.1371/journal.pctr.0010019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Kabatereine NB, Standley CJ, Sousa-Figueiredo JC, et al. Integrated prevalence mapping of schistosomiasis, soil-transmitted helminthiasis and malaria in lakeside and island communities in Lake Victoria, Uganda. Parasites and Vectors. 2011;4:232. doi: 10.1186/1756-3305-4-232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kassebaum NJ, Jasrasaria R, Naghavi M, et al. A systematic analysis of global anemia burden from 1990 to 2010. Blood. 2014;123:615–624. doi: 10.1182/blood-2013-06-508325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kern SE, Tiono AB, Makanga M, et al. Community screening and treatment of asymptomatic carriers of Plasmodium falciparum with artemether-lumefantrine to reduce malaria disease burden: a modelling and simulation analysis. Malaria Journal. 2011;10:210. doi: 10.1186/1475-2875-10-210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kimbi HK, Nformi D. Ndamukong KJ. Prevalence of asymptomatic malaria among school children in an urban and rural area in the Mount Cameroon region. Central African Journal of Medicine. 2005;51:5–10. [PubMed] [Google Scholar]
  49. Kimbi HK, Sumbele IU, Nweboh M, et al. Malaria and haematologic parameters of pupils at different altitudes along the slope of Mount Cameroon: a cross-sectional study. Malaria Journal. 2013;9:193. doi: 10.1186/1475-2875-12-193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Korenromp EL, Armstrong-Schellenberg JR, Williams BG, et al. Impact of malaria control on childhood anaemia in Africa – a quantitative review. Tropical Medicine and International Health. 2004;9:1050–1065. doi: 10.1111/j.1365-3156.2004.01317.x. [DOI] [PubMed] [Google Scholar]
  51. Leenstra T, Phillips-Howard PA, Kariuki SK, et al. Permethrin-treated bed nets in the prevention of malaria and anemia in adolescent schoolgirls in western Kenya. American Journal of Tropical Medicine and Hygiene. 2003;68:86–93. [PubMed] [Google Scholar]
  52. Leighton C. Foster R. Economic Impacts of Malaria in Kenya and Nigeria, Report submitted to the Office of Health. Washington: USAID; 1993. [Google Scholar]
  53. Lemnge MM, Msangeni HA, Ronn AM, et al. MaloprimR malaria prophylaxis in children living in a holoendemic village in north-eastern Tanzania. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1997;91:68–73. doi: 10.1016/s0035-9203(97)90401-6. [DOI] [PubMed] [Google Scholar]
  54. Lengeler C. Insecticide-treated bed nets and curtains for preventing malaria. Cochrane Database of Systematic Reviews. 2004:CD000363. doi: 10.1002/14651858.CD000363.pub2. [DOI] [PubMed] [Google Scholar]
  55. Lim SS, Fullman N, Stokes A, et al. Net benefits: a multicountry analysis of observational data examining associations between insecticide-treated mosquito nets and health outcomes. PLoS Medicine. 2011;8:e1001091. doi: 10.1371/journal.pmed.1001091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Loha E. Lindtjørn B. Predictors of Plasmodium falciparum malaria incidence in Chano Mille, South Ethiopia: a longitudinal study. American Journal of Tropical Medicine and Hygiene. 2012;87:450–459. doi: 10.4269/ajtmh.2012.12-0155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Luxemburger C, Perea WA, Delmas G, et al. Permethrin-impregnated bed nets for prevention of malaria in schoolchildren on the Thai-Burmese border. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1994;88:155–159. doi: 10.1016/0035-9203(94)90273-9. [DOI] [PubMed] [Google Scholar]
  58. Mabunda S, Casimiro S, Quinto L. Alonso P. A country-wide malaria survey in Mozambique. I. Plasmodium falciparum infection in children in different epidemiological settings. Malaria Journal. 2008;7:216. doi: 10.1186/1475-2875-7-216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Mboera LE, Senkoro KP, Rumisha SF, et al. Plasmodium falciparum and helminth coinfections among schoolchildren in relation to agro-ecosystems in Mvomero District, Tanzania. Acta Tropica. 2011;120:95–110. doi: 10.1016/j.actatropica.2011.06.007. [DOI] [PubMed] [Google Scholar]
  60. Meremikwu MM, Donegan S. Esu E. Chemoprophylaxis and intermittent treatment for preventing malaria in children. Cochrane Database Systematic Review. 2008:CD003756. doi: 10.1002/14651858.CD003756.pub3. [DOI] [PubMed] [Google Scholar]
  61. Murray CJ, Rosenfeld LC, Lim SS, et al. Global malaria mortality between 1980 and 2010: a systematic analysis. The Lancet. 2012;379:413–431. doi: 10.1016/S0140-6736(12)60034-8. [DOI] [PubMed] [Google Scholar]
  62. Nankabirwa J, Cundill B, Clarke S, et al. Efficacy, safety, and tolerability of three regimes for prevention of malaria: a randomized, placebo-controlled trial in Ugandan schoolchildren. PLoS One. 2010;5:e13438. doi: 10.1371/journal.pone.0013438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Nankabirwa J, Wandera B, Kiwanuka N, Staedke SG, Kamya MR. Brooker SJ. Asymptomatic plasmodium infection and cognition among primary schoolchildren in a high malaria transmission setting in Uganda. American Journal of Tropical Medicine and Hygiene. 2013;88:1102–1108. doi: 10.4269/ajtmh.12-0633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Nankabirwa JI, Wandera B, Amuge P, et al. Impact of intermittent preventive treatment with dihydroartemisinin-piperaquine on malaria in ugandan schoolchildren: a randomized, placebo-controlled trial. Clinical Infectious Diseases. 2014;58:1404–1412. doi: 10.1093/cid/ciu150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Nebie I, Diarra A, Ouedraogo A, et al. Humoral responses to Plasmodium falciparum blood-stage antigens and association with incidence of clinical malaria in children living in an area of seasonal malaria transmission in Burkina Faso, West Africa. Infection and Immunity. 2008;76:759–766. doi: 10.1128/IAI.01147-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Nevill CG, Watkins WM, Carter JY. Munafu CG. Comparison of mosquito nets, proguanil hydrochloride, and placebo to prevent malaria. British Medical Journal. 1988;297:401–403. doi: 10.1136/bmj.297.6645.401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Nkuo Akenji TK, Ajame EA. Achidi EA. An investigation of symptomatic malaria parasitaemia and anaemia in nursery and primary school children in Buea District Cameroon. Central African Journal of Medicine. 2002;48:1–4. doi: 10.4314/cajm.v48i1.8415. [DOI] [PubMed] [Google Scholar]
  68. Nonaka D, Jimba M, Mizoue T, et al. Content analysis of primary and secondary school textbooks regarding malaria control: a multi-country study. PLoS One. 2012;7:e36629. doi: 10.1371/journal.pone.0036629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Noor AM, Moloney G, Borle M, Fegan GW, Shewchuk T. Snow RW. The use of mosquito nets and the prevalence of Plasmodium falciparum infection in rural South Central Somalia. PLoS One. 2008;3:e2081. doi: 10.1371/journal.pone.0002081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Noor AM, Kirui VC, Brooker SJ. Snow RW. The use of insecticide treated nets by age: implications for universal coverage in Africa. BMC Public Health. 2009;9:369. doi: 10.1186/1471-2458-9-369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Noor AM, Kinyoki DK, Mundia CW, et al. The changing risk of Plasmodium falciparum malaria infection in Africa:2000-10: a spatial and temporal analysis of transmission intensity. The Lancet. 2014;383:1739–1747. doi: 10.1016/S0140-6736(13)62566-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Oduro AR, Conway DJ, Schellenberg D, et al. Seroepidemiological and parasitological evaluation of the heterogeneity of malaria infection in the Gambia. Malaria Journal. 2013;12:222. doi: 10.1186/1475-2875-12-222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Ojurongbe O, Adegbayi AM, Bolaji OS, et al. Asymptomatic falciparum malaria and intestinal helminths co-infection among school children in Osogbo, Nigeria. Journal of Research in Medical Sciences: The Official Journal of Isfahan University of Medical Sciences. 2011;16:680–686. [PMC free article] [PubMed] [Google Scholar]
  74. O'Meara WP, Mangeni JN, Steketee R. Greenwood B. Changes in the burden of malaria in sub-Saharan Africa. The Lancet Infectious Diseases. 2010;10:545–555. doi: 10.1016/S1473-3099(10)70096-7. [DOI] [PubMed] [Google Scholar]
  75. Ouldabdallahi M, Ouldbezeid M, Dieye M, et al. Study of the incidence of malaria in febrile patients and among schoolchildren in the region of Trarza, Islamic Republic of Mauritania. Bulletin de la Societe Pathologie Exotique. 2011;104:288–290. doi: 10.1007/s13149-011-0157-1. [DOI] [PubMed] [Google Scholar]
  76. Pasha O, Del Rosso J, Mukaka M. Marsh D. The effect of providing fansidar (sulfadoxine-pyrimethamine) in schools on mortality in school-age children in Malawi. The Lancet. 2003;361:577–578. doi: 10.1016/s0140-6736(03)12511-1. [DOI] [PubMed] [Google Scholar]
  77. Pluess B, Tanser FC, Lengeler C. Sharp BL. Indoor residual spraying for preventing malaria. Cochrane Database of Systematic Reviews. 2010:CD006657. doi: 10.1002/14651858.CD006657.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Prinsens Geerligs PD, Brabin BJ. Eggelete TA. Analysis of the effects of malaria chemoprophylaxis in children on haematological responses, morbidity and mortality. Bulletin of the World Health Organisation. 2003;81:205–216. [PMC free article] [PubMed] [Google Scholar]
  79. Pullan RL, Bukirwa H, Staedke SG, et al. Plasmodium infection and its risk factors in eastern Uganda. Malaria Journal. 2010;9:2. doi: 10.1186/1475-2875-9-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Raso G, Utzinger J, Silue KD, et al. Disparities in parasitic infections, perceived ill health and access to health care among poorer and less poor schoolchildren of rural Cote d'Ivoire. Tropical Medicine and International Health. 2005;10:42–57. doi: 10.1111/j.1365-3156.2004.01352.x. [DOI] [PubMed] [Google Scholar]
  81. Rehman AM, Coleman M, Schwabe C, et al. How much does malaria vector control quality matter: the epidemiological impact of holed nets and inadequate indoor residual spraying. PLoS One. 2011;6:e19205. doi: 10.1371/journal.pone.0019205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Rohner F, Zimmermann MB, Amon RJ, et al. In a randomized controlled trial of iron fortification, anthelmintic treatment, and intermittent preventive treatment of malaria for anemia control in Ivorian children, only anthelmintic treatment shows modest benefit. Journal of Nutrition. 2010;140:635–641. doi: 10.3945/jn.109.114256. [DOI] [PubMed] [Google Scholar]
  83. RTS,S Clinical Trials Partnership. First results of phase 3 trial of RTS, S/ASO1 Malaria vaccine in African children. New England Journal of Medicine. 2011;365:1863–1875. doi: 10.1056/NEJMoa1102287. [DOI] [PubMed] [Google Scholar]
  84. RTS,S Clinical Trials Partnership. A phase 3 trial of RTS, S/AS01 malaria vaccine in infants. New England Journal of Medicine. 2012;367:2284–2295. doi: 10.1056/NEJMoa1208394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Snow RW. Marsh K. The consequences of reducing transmission of Plasmodium falciparum in Africa. Advances in Parasitology. 2002;52:235–264. doi: 10.1016/s0065-308x(02)52013-3. [DOI] [PubMed] [Google Scholar]
  86. Snow RW, Criag MH, Newton CRJC. Steketee RW. The public health burden of Plasmodium falciparum in Africa: deriving the number. DCPP Working Paper No 11, Disease Control Priorities Project, Bethesda, Maryland Fogarty International Center, National Institutes of Health; 2003. http://archives.who.int/prioritymeds/report/append/610snow_wp11.pdf. [Google Scholar]
  87. Some ES. Effects and control of highland malaria epidemic in Uasin Gishu District, Kenya. East African Journal of Medicine. 1994;71:2–8. [PubMed] [Google Scholar]
  88. Tagbor H, Bruce J, Agbo M, et al. Intermittent screening and treatment versus intermittent preventive treatment of malaria in pregnancy: a randomised controlled non-inferiority trial. PLoS One. 2010;5:e14425. doi: 10.1371/journal.pone.0014425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Takem EN, Affara M, Amambua-Ngwa A, et al. Detecting foci of malaria transmission with school surveys: a pilot study in The Gambia. PLoS One. 2013;8:e67108. doi: 10.1371/journal.pone.0067108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Tchinda VH, Socpa A, Keundo AA, et al. Factors associated to bed net use in Cameroon: a retrospective study in Mfou health district in the Centre Region. Pan African Medical Journal. 2012;12:112. [PMC free article] [PubMed] [Google Scholar]
  91. Temperley M, Mueller DH, Njagi JK, et al. Costs and cost-effectiveness of delivering intermittent preventive treatment through schools in western Kenya. Malaria Journal. 2008;7:196. doi: 10.1186/1475-2875-7-196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Thuilliez J, Sissoko MS, Toure OB, et al. Malaria and primary education in Mali: a longitudinal study in the village of Doneguebougou. Social Science and Medicine. 2010;71:324–334. doi: 10.1016/j.socscimed.2010.02.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Tine RCK, Faye B, Ndour CT, et al. Impact of combining intermittent preventive treatment with home management of malaria in children less than 10 years in a rural area of Senegal: a cluster randomized trial. Malaria Journal. 2011;10:358. doi: 10.1186/1475-2875-10-358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Tine RCK, Ndour CT, Faye B, et al. Feasibility, safety and effectiveness of combining home based malaria management and seasonal malaria chemoprevention in children less than 10 years in Senegal: a cluster-randomised trial. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2014;108:13–21. doi: 10.1093/trstmh/trt103. [DOI] [PubMed] [Google Scholar]
  95. Tiono AB, Ouédraogo A, Ogutu B, et al. A controlled, parallel, cluster-randomised trial of commuity-wide screening and treatment of asymptpmatic carriers of Plasmodium falciparum in Burkina Faso. Malaria Journal. 2013;12:79. doi: 10.1186/1475-2875-12-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Trape JF, Zoulani A. Quinet MC. Assessment of the incidence and prevalence of clinical malaria in semi-immune children exposed to intense and perennial transmission. American Journal of Epidemiology. 1987;126:193–201. doi: 10.1093/aje/126.2.193. [DOI] [PubMed] [Google Scholar]
  97. Trape JF, Evalyne L, Legros F, et al. Malaria morbidity among children exposed to low seasonal transmission in Dakar, Senegal and its implications for malaria control in Tropical Africa. American Journal of Tropical Medicine and Hygiene. 1993;48:748–756. doi: 10.4269/ajtmh.1993.48.748. [DOI] [PubMed] [Google Scholar]
  98. Wanji S, Kimbi HK, Eyong JE. Tendongfor N. Performance and usefulness of the Hexagon rapid diagnostic test in children with asymptomatic malaria living in the Mount Cameroon region. Malaria Journal. 2008;7:89. doi: 10.1186/1475-2875-7-89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. West PA, Protopopoff N, Rowland M, et al. Malaria risk factors in north west Tanzania: the effect of spraying, nets and wealth. PLoS One. 2013;7:8. doi: 10.1371/journal.pone.0065787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Wilson AL on behalf of the IPTc Taskforce. A systematic review and meta-analysis of the efficacy and safety of intermittent preventive treatment of malaria in children (IPTc) PLoS One. 2011;6:e16976. doi: 10.1371/journal.pone.0016976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. World Health Organisation (WHO) Guidelines for the Treatment of Malaria. Geneva, Switzerland: World Health Organisation; 2012. Malaria report 2012. http://wwwwhoint/malaria/publications/world_malaria_report_2012/wmr2012_no_profilespdf. [Google Scholar]
  102. Zhou G, Githeko AK, Minakawa N. Yan G. Community-wide benefits of targeted indoor residual spray for malaria control in the western Kenya highland. Malaria Journal. 2010;9:67. doi: 10.1186/1475-2875-9-67. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Tropical Medicine & International Health are provided here courtesy of Wiley

RESOURCES