Open Access
Volume 23, 2016
Article Number 32
Number of page(s) 9
Published online 05 August 2016

© S. Maghendji-Nzondo et al., published by EDP Sciences, 2016

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Febrile syndromes are one of the main reasons for pediatric consultations in developing countries and may be due to various viral, bacterial, and parasitic infections. Malaria is the most widespread febrile disease, present in 99 countries and territories. One-third of the world population is at risk, and malaria causes about one-fifth of all childhood deaths worldwide [13]. In 2013, there were an estimated 198 million cases of malaria and 584,000 deaths [42].

Five Plasmodium species infect humans, namely falciparum, vivax, malariae, ovale [33], and knowlesi, an emerging species [36]. Plasmodium falciparum is the most widespread and most lethal species in Africa, causing 95% of symptomatic cases [33].

New antimalarial policies implemented in recent years have mainly concerned P. falciparum, although P. vivax and P. knowlesi can also cause life-threatening malaria [14, 19, 34]. Plasmodium knowlesi can cause cerebral hemorrhage, lung heaviness, and cardiac hemorrhage [6, 7]. Premature reticulocyte death due to P. vivax infection can cause severe anemia over a period of several months by blocking the formation of mature red blood cells [1].

Gabon is hyperendemic for malaria. Transmission is perennial because the equatorial climate favors mosquito proliferation and larval development. Changes in the national antimalarial policy, based on artemisinin combination therapy (ACT), distribution of impregnated bed nets, and intermittent preventive treatment during pregnancy, have led to a decline in the malaria burden in urban areas. Between 2005 and 2008, malaria prevalence dropped significantly from 31.2% to 18.3%, followed by a recrudescence in 2011 in Libreville (24.1%). In Franceville, malaria prevalence dropped from 69% (2004) to 19.5% (2009). Between 2010 (17.9%) and 2012 (21.45%), no significant change was observed [2, 17, 20]. Artemether-lumefantrine (AL) and artesunate-amodiaquine (ASAQ) are both drugs in the co-first lines of treatment. Only three human species (P. falciparum, P. malariae, and Plasmodium ovale) have been reported in Gabon [21, 31]. The most prevalent is P. falciparum (94–99%), followed by P. malariae (0.5–5%) and P. ovale (0.5–2.4%). The near absence of human Plasmodium vivax infection in Central and Western Africa has been attributed to a low prevalence of the Duffy receptor in these populations [24]. However, cases of P. vivax infection have been described in Duffy (-) subjects in Uganda and Central Africa [8, 23, 29]. Surveillance of all malaria species will be necessary to eradicate the disease.

The aim of this study was to determine the place of malaria in febrile children consulting at the pediatric unit of the Franceville Regional Hospital, Gabon, as well as its characteristics and the efficacy of preventive measures.

Materials and methods

Ethics statement

The study was approved by the Gabonese National Ethics Committee and the Ministry of Health (N° 00370/MSP/CABMD). Blood samples were collected with the parents’ or guardians’ informed consent.

Study location and population

We conducted a cross-sectional study between April 2011 and May 2012 in the pediatric unit of the Amissa Bongo Regional Hospital in Franceville, the capital of the Haut-Ogooué Province, Gabon. Children between 6 and 168 months of age presenting an axillary temperature >37.5 °C or a >24-hour history of fever were recruited.

Global health alteration was classified as severe in the presence of anorexia, asthenia, and weight loss, and moderate in the presence of two of these symptoms. The alteration was defined as uncomplicated in the presence of only one of these three symptoms. Weight loss in the child was estimated by using the last weight recorded in the health book.

Recording of preventive measures

Data on the use of bed nets and insecticides, and some information on education and knowledge of malaria were collected with a questionnaire (Supplementary Material). The parents/guardians were asked whether their children slept under bed nets and whether they sprayed insecticide in their houses. To determine their level of education on malaria, we asked the following questions: “Do you know malaria? What is malaria? Do you know the modes of transmission of malaria? How can you avoid malaria?” Correct responses to these questions were considered a basic knowledge of malaria.


The OptiMAL-IT® rapid diagnostic test (RDT) was used [27]. Parasite load was determined on blood smears using the Lambaréné method [30]. This method of counting slides is a variant of a method for counting thick films. Ten microliters of blood is evenly distributed on a 10- by 18-mm area of a microscope slide. Each high-power field (HPF) on this thick smear is 1/500th of a microliter (on a standard microscope at 1,000 magnification), and a count is made per 10 HPFs. The parasitemia per microliter is calculated by a precalibrated appropriate multiplication factor (500). Children with RDT or positive blood smears were considered to have malaria. Respiratory tract infections corresponding to colds and coughs, gastroenteritis corresponding to diarrhea and/or vomiting, dermatosis, ear, nose, and throat (ENT) infections, acute algetic syndromes, as well as clinical symptoms, such as pale conjunctivae and global health state alteration (anorexia, asthenia, and weight loss), were diagnosed by a physician according to clinical classification.

Hematological analyses

Routine hematological assays were performed with an automated blood cell counter (STKS®, Coulter Corporation, USA). Blood (5 mL) was collected in EDTA tubes. Plasma was stored at −20 °C and blood pellets were used for DNA extraction. Moderate anemia was defined by a hemoglobin level between 5 and 10 g/dL, and severe anemia by a hemoglobin level ≤5 g/dL.

DNA extraction

DNA from all children was extracted with the Omega Bio-Tek E.Z.N.A.1 method (Omega Bio-Tek, USA) according to the manufacturer’s protocol [16]. Briefly, 250 μL of blood pellets, 25 μL of OB protease (20 mg/mL), and 250 μL of lysis buffer were mixed and heated to 65 °C for 30 min before adding 260 μL of isopropanol. The mixture was transferred to a column and centrifuged at 10,000 rpm for 1 min. The column was washed twice at 13,000 rpm for 2 min, and DNA was eluted with 90 μL of sterile water preheated to 65 °C. DNA samples were kept at −20 °C until use.

Identification of Plasmodium species by RFLP-PCR

Plasmodium speciation was based on nested PCR amplification of the cytochrome b gene, followed by enzymatic restriction, as previously described [39]. Five microliters of DNA was amplified with 1X Taq polymerase buffer (Invitrogen), 0.8 μM of each primer (Plas 1 and 2a for primary PCR and Plas 3 and 4 for nested PCR), 0.2 mM dNTP (Invitrogen), 2 mM MgCl2, and 0.024 U of Taq DNA polymerase (Invitrogen), using the following cycling program: 5 min at 94 °C, followed by 35 cycles of 30 s at 94 °C, 45 s at 58 °C, 45 s at 72 °C, and a final extension step for 7 min at 72 °C. PCR products were detected by 2% agarose gel electrophoresis. In order to distinguish the four species of Plasmodium (falciparum, malariae, ovale, and vivax), restriction fragment length polymorphism (RFLP) analysis was performed using the restriction enzyme AluI (New England Biolabs, UK). PCR primers and Plasmodium species profiles after AluI enzyme digestion are shown in Table 1. DNA products were detected by electrophoresis on 2% agarose gel.

Table 1.

Sequences of primer sets and restriction fragments for each species.

Statistical analysis

Statistical analyses were carried out with Epi-info version 3.3.2 (2005, CDC, Atlanta, USA) and STATA version 10 (Stata Corp, College Station, USA). Age was expressed as the median and interquartile range (IQR), and parasite density as the geometric mean (GMPD). The Chi-square test was used to compare categorical variables, and the non-parametric Mann-Whitney U test, Pearson’s test, and Fisher’s exact test were used for group comparisons, as appropriate. p values <0.05 were considered to indicate statistical significance.


Study population

A total of 940 children were included: 556 in 2011 and 384 in 2012. The sex ratio was 1.1 (489M/451F). Ages were recorded for only 931 children. Children aged between 6 and 60 months represented 72.6% (676/931) of the patients, and children over 60 months 27.4% (255/931). The general characteristics of the children are summarized in Table 2. Mean body temperature was 38.3 ± 1.1 °C. Hematological values were normal.

Table 2.

General characteristics of the included patients.

Clinical examination showed that the global health state was altered in 11.7% (89/760) of children, among these 78.6% (70/89) were moderate and 21.4% (19/89) severe. Conjunctival examination in 728 children showed a normal aspect in 235 cases (32.3%), a pale conjunctival aspect in 451 cases (61.9%), and a reddish aspect in 42 cases (5.8%).

The causes (etiology) of fever were investigated in 738 cases (Fig. 1). The most prevalent cause was a respiratory tract infection (37.3%; n = 275), followed by malaria (22.0%; n = 162). Gastroenteritis and other causes were found in 9.6% (n = 71) and 9.8% (n = 72) of cases, respectively. Dermatoses, ENT infections, and an acute algetic syndrome were responsible for fever in 4.3% (n = 32), 3.7% (n = 27), and 3.1% (n = 23) of cases, respectively. The cause of fever was undetermined in 10.3% of cases (n = 76).

thumbnail Figure 1.

Distribution of certain fever diseases diagnosed in the children included in the study. *Ear, nose, and throat infections.

Effect of malaria on hematological parameters and age distribution

The mean age of the Plasmodium-infected patients (63.4 ± 39.4 months) was significantly higher than that of the other children (40.3 ± 37.1 months) (p = 0.0013), (Table 3). The body temperature of the Plasmodium-infected children (38.5 ± 1.1 °C) was higher than that of the other children (38.2 ± 0.9 °C) (p = 0.001). Hemoglobin, red blood cell, white blood cell, and platelet values were lower in Plasmodium-infected children than in uninfected children (p < 0.0001). The mean interval between symptom onset and consultation was 3 days in both Plasmodium-infected and uninfected children.

Table 3.

Comparison of characteristics between Plasmodium uninfected versus infected children (diagnosed by RDT and blood smear).

Characteristics of plasmodial infection

The overall prevalence of Plasmodium infection was 22.2% (n = 209/940) by RDT and 18.8% on blood smear examination (n = 166/881) (p = 0.08). The sex ratio was 1.2 (115M/94F) in the Plasmodium-infected group and 1.1 (374M/355F) in the uninfected group (p = 0.4). The mean values of parasitemia were calculated based on the 166 samples that tested positive by thick film only. Mean Plasmodium parasitemia was 9581 (50–600,000) p/μL of blood. The prevalence of malaria was similar in 2011 [23% (n = 128/556)] and 2012 [21.1% (n = 81/384)] (p = 0.5). The temporal distribution of the parasite infection with the seasons shows that overall prevalence of Plasmodium infection was not the same depending on the season in 2011–2012 (p = 0.02) (Fig. 2). The prevalence of Plasmodium infection was significantly lower during the long rainy season in 2011 (15.8%), and during the long rainy season (14%) and long dry season (13.2%) in 2012. It was highest during the short rainy seasons (29.8% and 26.4%) in 2012 and 2011 (p < 0.04).

thumbnail Figure 2.

Temporal distribution of plasmodial infection.

Among the Plasmodium-infected children, 8.1% (17/209) had one sign of severe malaria. Severe anemia was the most prevalent sign [70.6% (12/17)], followed by neurological involvement [23.5% (4/17)]. There was one case of prostration (5.9%).

The maximum age among the Plasmodium-infected children was 172 months. The prevalence was significantly lower in children under 60 months of age [15.5% (105/676)] than in children over 60 months [40% (102/255)] (p = 2.4 × 10−15) (Table 4). The prevalence was lower in children under 12 months of age [2.5% (5/198)] than in the other age groups (p < 0.00001). The prevalence was similar in children over 108 months of age (36.5%) and in those between 37 and 108 months [(40.4%; n = 147/364 (p = 0.7)]. The prevalence was significantly lower in the 13–36 months age group [17.5% (55/315)] than in older age groups (p < 0.05), and significantly lower from 37 to 60 months [27.6% (45/163)] than from 61 to 84 months [40.8% (42/103)] and from 85 to 108 months [43.3% (29/67)] (p = 0.02). Mean parasitemia was significantly lower in children aged 37–60 months [7,421 (200–160,000) p/μL] than in those aged 61–84 months [16,832 (200–600,000) p/μL], (p = 0.04). Parasitemia was also significantly higher in children aged from 61 to 84 months, and lowest in children over 108 months [5,804 (1,000–600,000) p/μL], (p = 0.01). Finally, we observed a significant difference in mean parasitemia between children aged 85 and 108 months [22,971 (1,000–340,000) p/μL] and those over 108 months [7,139 (1,000–125,000) p/μL], (p = 0.02).

Table 4.

Prevalence of malaria infection according to age group in children (n = 931) (children diagnosed by RDT and blood smear).

Distribution of Plasmodium species

Molecular diagnosis was based on amplification of an 816 bp fragment of the Cytb gene. Speciation was based on enzymatic digestion (RFLP) of PCR products. Plasmodium falciparum was characterized by two DNA fragments (640 and 159 bp), and P. malariae by three fragments (187, 249, and 381 bp). Only 162 PCR products could be digested, because of insufficient yield and the low sensitivity of the primer set used. We found that 158 (97.5%) infections were due to P. falciparum, and 4 (2.5%) to P. malariae. No mixed infections and no P. ovale, or P. vivax infections were found.

Preventive measures

Finally, we analyzed the patients’ sociodemographic characteristics and use of preventive measures (Table 5). We found that bed nets were used by 74.5% of patients (697/936). The frequency of bed net use was significantly higher among children without malaria [76.9%, n = 561/729] than among children with malaria [65.7%, n = 136/207], (p = 0.001). The use of window nets [14.7%, n = 137/935] had no preventive effect (p = 0.4), and neither did the use of insecticide house spraying [respectively, 29.6% (216/729) and 22.7% (47/207)] in children without and with malaria (p = 0.06). Insecticide sprays were used in 28.1% of homes (n = 263/936). The parents/guardians of children with and without malaria were aware of essential information on malaria in, respectively, 51% (n = 105/207) and 71.3% (n = 519/728) of cases (p = 4.8 × 10−8).

Table 5.

Preventive measures between malaria infected and uninfected patients.


Elimination or eradication of malaria is a new major challenge in some endemic areas. Herein, we assessed the epidemiology of malaria in febrile children in South-East Gabon (Franceville). More than three-fourth of febrile children reporting to the Franceville Regional Hospital during the study period had an altered global health state, probably linked to a high prevalence of anemia, as indicated by the large proportion of children with conjunctival pallor. Similar results have been obtained in Tanzania [25]. We confirm that children aged less than 5 years are the most likely to present fever [37], and that infectious diseases account for fever in 80% of these children. Low hemoglobin levels are due to parasite-induced hemolysis [3]. Indeed, P. falciparum antigens, such as RSP2/RAP2, could be transferred to the surface of uninfected and infected red blood cells, reducing their deformability, inducing their sequestration by the spleen, accelerating both complement-mediated lysis as well as macrophage uptake, leading to anemia [11]. Plasmodium falciparum infection also modulates the cytokine balance, leading to erythrocyte clearance [26]. However, malnutrition and digestive parasitic infections are also causes of anemia [15, 44].

In addition, we confirm that malaria is the second leading cause of fever among children in Franceville, after respiratory tract infections [4, 17]. Gastroenteritis was the third most common cause of fever, as also reported in Tanzania, where malaria was the second leading cause of fever [9]. Although we did not explore the pathogens responsible for respiratory tract infections, a recent report from Gabon (including Franceville) showed that the most prevalent are influenza-like viruses (adenoviruses, parainfluenza viruses, enteroviruses, respiratory syncytial viruses, and influenza viruses) [18]. The cause of fever remained undetermined in 10% of children, underlining the shortcomings of the Gabonese healthcare facilities.

Our findings confirm that malaria mainly affects older febrile children in Gabon [20]. However, our findings are based only on children in consultation at our study sites; we do not have information on malaria distribution in the overall population. Children under 5 years are more often protected by bed nets and other preventive measures than older children whose prevention measures are often unavailable. We found an overall high rate of bed net use. Insecticide-treated bed nets have been shown to significantly reduce the incidence, severe forms, and lethality of malaria, especially among children under five years old. As in several other African countries, the use of bed nets has contributed to the decline in the malaria burden in Gabon [40]. It should be noted that information on the use of bed nets in this study was based on the verbal statements of parents/guardians, and that bed net condition (presence of holes, insecticide impregnation) was not verified.

We found that children under seven years of age tended to have lower parasite loads. The same result has been reported after the increased coverage of insecticide-treated bed nets and the decrease of malaria transmission in some countries [38, 43]. However, parasitemia tended to be lower after 108 months of age, a finding consistent with acquisition of semi-immunity.

The low frequency of malaria in children less than 12 months is consistent with maternal immune protection through breast-feeding. The higher prevalence of malaria among febrile children over 5 years is consistent with reports from Rwanda [32], where the risk was highest in the 5- to 15-year-old age group. A similar age distribution has been reported in asymptomatic Nigerian children [28]. This could suggest a delay in immunity acquisition, because of the use of preventive measures that limit the contact between children and the parasite. Children aged 5 to 15 years could thus represent a reservoir for Plasmodium. Surprisingly, the data indicate that malaria prevalence was highest in the short rainy seasons. Indeed, breeding sites in this season are maintained while they are cleaned in long rainy seasons.

We confirm the decrease in the malaria burden in Franceville in recent years, despite its stability since 2009 [17]. In contrast, however, a recrudescence has been reported in febrile children up to 24.1% in Libreville, capital of Gabon, after the decline observed between 2000 and 2009 [5, 20]. This could be explained by different socioeconomic contexts and/or plasmodial transmission rates, and by a decrease in free distribution of impregnated bed nets and awareness campaigns on malaria. Since the year 2008, Gabon has lost a global grant.

Hematological values were lower in Plasmodium-infected children than in other febrile children. This is consistent with red blood cell lysis and platelet sequestration induced by P. falciparum, as recently reported in India [35]. We confirm that malaria is also associated with a loss of white blood cells [22]. Severe malaria anemia was found in 70.6% of our patients with severe malaria, consistent with data from Libreville, Gabon [12].

Plasmodium falciparum was responsible for the majority of cases of malaria in this study, as reported elsewhere in Gabon [21, 31]. This suggests that, despite the decrease in the malaria burden in Gabon, the species distribution in febrile children has not changed. In contrast, among asymptomatic individuals living in rural areas of Gabon, it was recently reported that P. malariae and P. ovale accounted for, respectively, 47.6% and 9.9% of cases [10]. This could suggest selection of P. falciparum to the detriment of other species during acute malaria. Another possible explanation is the use of different diagnostic methods. Delicat-Loembet et al used 454 sequencing to identify Plasmodium species, while we and other authors used less sensitive methods (PCR-RFLP, and blood smear with RDT, respectively). Despite the non-detection of P. ovale in our study, this species is occasionally found in Franceville, and we have diagnosed one case of P. ovale infection since the end of this study. The low sensitivity of the PCR can be explained by insufficient yield and the low sensitivity of the primer set used. We confirm that P. vivax does not circulate in humans in Franceville, and neither does P. knowlesi, a primate species that causes some episodes of severe malaria in humans [41].

We found that 66.7% of parents/guardians had a good knowledge of malaria, and confirm that this knowledge is associated with a lower risk of childhood malaria. Surprisingly, the use of window nets and insecticide sprays was not associated with a lower risk of malaria, possibly because few parents/guardians used these two measures.

We confirm the stability of the malaria burden in Franceville, Gabon, implying that stronger preventive measures are needed to reduce it further. Studies are also needed to evaluate the malaria burden throughout Gabon.

Conflict of interests

The authors declare no conflict of interest in relation with this paper.


We are grateful to the children and their parents who accepted to participate in the study, and to the staff of the pediatric wards (particularly Dr. Avoum, Dr. Ekaghba, and Patrician of the laboratory of Centre Hospitalier Regional Amissa Bongo, Franceville). We also thank Heïdi Lançon for the English revision of the manuscript. We also thank the staff of the Medical Parasitology Unit at the Centre International de Recherches Médicales de Franceville (CIRMF). This work was supported by the CIRMF, the Gabonese government, and Total Gabon.


  1. Antia R, Yates A, de Roode JC. 2008. The dynamics of acute malaria infections. I. Effect of the parasite’s red blood cell preference. Proceedings of the Royal Society B, 275(1641), 1449–1458. [CrossRef] [Google Scholar]
  2. Biteghe Bi Essone JC, Iroungou BA, Lekana-Douki JB, Touré Ndouo FS, Onanga R, Ollomo B. 2014. Submicroscopic infection from uncomplicated Plasmodium falciparum malaria of Franceville, southeastern Gabon. International Journal of Advanced Research, 2(1), 117–123. [Google Scholar]
  3. Bloland PB, Lackritz EM, Kazembe PN, Were JB, Steketee R, Campbell CC. 1993. Beyond chloroquine: implications of drug resistance for evaluating malaria therapy efficacy and treatment policy in Africa. Journal of Infectious Diseases, 167(4), 932–937. [CrossRef] [Google Scholar]
  4. Bouyou-Akotet MK, Mawili-Mboumba DP, Kendjo E, Eyang Ekouma A, Abdou Raouf O, Engohang Allogho E, Kombila M. 2012. Complicated malaria and other severe febrile illness in a pediatric ward in Libreville, Gabon. BMC Infectious Diseases, 12, 216. [CrossRef] [PubMed] [Google Scholar]
  5. Bouyou-Akotet MK, Mawili-Mboumba DP, Kendjo E, Mabika-Mamfoumbi M, Ngoungou EB, Dzeing-Ella A, Pemba-Mihindou M, Ibinga E, Efame-Eya E, Planche T, Kremsner PG, Kombila M. 2009. Evidence of decline of malaria in the general hospital of Libreville, Gabon from 2000 to 2008. Malaria Journal, 8, 300. [CrossRef] [PubMed] [Google Scholar]
  6. Cox-Singh J. 2010. Malaria: what can apes teach humans? Future Microbiology, 5(8), 1157–1160. [CrossRef] [PubMed] [Google Scholar]
  7. Cox-Singh J, Hiu J, Lucas SB, Divis PC, Zulkarnaen M, Chandran P, Wong KT, Adem P, Zaki SR, Singh B, Krishna S. 2010. Severe malaria – a case of fatal Plasmodium knowlesi infection with post-mortem findings: a case report. Malaria Journal, 9, 10. [CrossRef] [PubMed] [Google Scholar]
  8. Culleton R, Ndounga M, Zeyrek FY, Coban C, Casimiro PN, Takeo S, Tsuboi T, Yadava A, Carter R, Tanabe K. 2009. Evidence for the transmission of Plasmodium vivax in the Republic of the Congo, West Central Africa. Journal of Infectious Diseases, 200(9), 1465–1469. [CrossRef] [Google Scholar]
  9. D’Acremont V, Kaiser L, Genton B. 2014. Causes of fever in outpatient Tanzanian children. New England Journal of Medecine, 370(23), 2243–2244. [Google Scholar]
  10. Delicat-Loembet L, Rougeron V, Ollomo B, Arnathau C, Roche B, Elguero E, Moukodoum ND, Okougha AP, Mve Ondo B, Boundenga L, Houze S, Galan M, Nkoghe D, Leroy EM, Durand P, Paupy C, Renaud F, Prugnolle F. 2015. No evidence for ape Plasmodium infections in humans in Gabon. PLoS One, 10(6), e0126933. [CrossRef] [PubMed] [Google Scholar]
  11. Douki JB, Sterkers Y, Lepolard C, Traore B, Costa FT, Scherf A, Gysin J. 2003. Adhesion of normal and Plasmodium falciparum ring-infected erythrocytes to endothelial cells and the placenta involves the rhoptry-derived ring surface protein-2. Blood, 101(12), 5025–5032. [CrossRef] [PubMed] [Google Scholar]
  12. Dzeing-Ella A, Nze Obiang PC, Tchoua R, Planche T, Mboza B, Mbounja M, Muller-Roemer U, Jarvis J, Kendjo E, Ngou-Milama E, Kremsner PG, Krishna S, Kombila M. 2005. Severe falciparum malaria in Gabonese children: clinical and laboratory features. Malaria Journal, 4, 1. [CrossRef] [PubMed] [Google Scholar]
  13. Feachem RG, Phillips AA, Hwang J, Cotter C, Wielgosz B, Greenwood BM, Sabot O, Rodriguez MH, Abeyasinghe RR, Ghebreyesus TA, Snow RW. 2010. Shrinking the malaria map: progress and prospects. Lancet, 376(9752), 1566–1578. [CrossRef] [PubMed] [Google Scholar]
  14. Garcia LS. 2010. Malaria. Clinics in Laboratory Medecine, 30(1), 93–129. [CrossRef] [Google Scholar]
  15. Khan JR, Awan N, Misu F. 2016. Determinants of anemia among 6–59 months aged children in Bangladesh: evidence from nationally representative data. BMC Pediatrics, 16, 3. [CrossRef] [PubMed] [Google Scholar]
  16. Lekana-Douki JB, Dinzouna Boutamba SD, Zatra R, Zang Edou SE, Ekomy H, Bisvigou U, Toure-Ndouo FS. 2011. Increased prevalence of the Plasmodium falciparum Pfmdr1 86N genotype among field isolates from Franceville, Gabon after replacement of chloroquine by artemether-lumefantrine and artesunate-mefloquine. Infection, Genetics and Evolution, 11(2), 512–517. [CrossRef] [Google Scholar]
  17. Lekana-Douki JB, Pontarollo J, Zatra R, Toure-Ndouo FS. 2011. Paludisme au Gabon : résultats d’une étude bioclinique à l’hôpital de l’amitié sino-gabonaise de Franceville. Cahier Santé, 21(4), 193–198. [Google Scholar]
  18. Lekana-Douki SE, Nkoghe D, Drosten C, Ngoungou EB, Drexler JF, Leroy EM. 2014. Viral etiology and seasonality of influenza-like illness in Gabon, March 2010 to June 2011. BMC Infectious Diseases, 14, 373. [CrossRef] [PubMed] [Google Scholar]
  19. Maguire JD, Baird JK. 2010. The “non-falciparum” malarias: the roles of epidemiology, parasite biology, clinical syndromes, complications and diagnostic rigour in guiding therapeutic strategies. Annals of Tropical Medicine and Parasitology, 104(4), 283–301. [CrossRef] [PubMed] [Google Scholar]
  20. Mawili-Mboumba DP, Bouyou Akotet MK, Kendjo E, Nzamba J, Medang MO, Mbina JR, Kombila M. 2013. Increase in malaria prevalence and age of at risk population in different areas of Gabon. Malaria Journal, 12, 3. [CrossRef] [PubMed] [Google Scholar]
  21. Mawili-Mboumba DP, Bouyou Akotet MK, Ngoungou EB, Kombila M. 2010. Evaluation of rapid diagnostic tests for malaria case management in Gabon. Diagnostic Microbiology and Infectious Disease, 66(2), 162–168. [CrossRef] [PubMed] [Google Scholar]
  22. McKenzie FE, Prudhomme WA, Magill AJ, Forney JR, Permpanich B, Lucas C, Gasser RA Jr, Wongsrichanalai C. 2005. White blood cell counts and malaria. Journal of Infectious Diseases, 192(2), 323–330. [CrossRef] [Google Scholar]
  23. Mendes C, Dias F, Figueiredo J, Mora VG, Cano J, de Sousa B, do Rosario VE, Benito A, Berzosa P, Arez AP. 2011. Duffy negative antigen is no longer a barrier to Plasmodium vivax – molecular evidences from the African West Coast (Angola and Equatorial Guinea). PLoS Neglected Tropical Diseases, 5(6), e1192. [CrossRef] [PubMed] [Google Scholar]
  24. Mercereau-Puijalon O, Menard D. 2010. Plasmodium vivax and the Duffy antigen: a paradigm revisited. Transfusion Clinique et Biologique, 17(3), 176–183. [CrossRef] [Google Scholar]
  25. Mogensen CB, Sorensen JE, Bjorkman A. 2006. Pallor as a sign of anaemia in small Tanzanian children at different health care levels. Acta Tropica, 99(2–3), 113–118. [CrossRef] [PubMed] [Google Scholar]
  26. Mohan K, Sam H, Stevenson MM. 1999. Therapy with a combination of low doses of interleukin 12 and chloroquine completely cures blood-stage malaria, prevents severe anemia, and induces immunity to reinfection. Infection and Immunity, 67(2), 513–519. [PubMed] [Google Scholar]
  27. Moody AH, Chiodini PL. 2002. Non-microscopic method for malaria diagnosis using OptiMAL IT, a second-generation dipstick for malaria pLDH antigen detection. British Journal of Biomedical Science, 59(4), 228–231. [CrossRef] [PubMed] [Google Scholar]
  28. Noland GS, Graves PM, Sallau A, Eigege A, Emukah E, Patterson AE, Ajiji J, Okorofor I, Oji OU, Umar M, Alphonsus K, Damen J, Ngondi J, Ozaki M, Cromwell E, Obiezu J, Eneiramo S, Okoro C, McClintic-Doyle R, Oresanya O, Miri E, Emerson PM, Richards FO Jr. 2014. Malaria prevalence, anemia and baseline intervention coverage prior to mass net distributions in Abia and Plateau States, Nigeria. BMC Infectious Disease, 14, 168. [CrossRef] [Google Scholar]
  29. Oliveira-Ferreira J, Lacerda MV, Brasil P, Ladislau JL, Tauil PL, Daniel-Ribeiro CT. 2010. Malaria in Brazil: an overview. Malaria Journal, 9, 115. [CrossRef] [PubMed] [Google Scholar]
  30. Planche T, Krishna S, Kombila M, Engel K, Faucher JF, Ngou-Milama E, Kremsner PG. 2001. Comparison of methods for the rapid laboratory assessment of children with malaria. The American Journal of Tropical Medicine and Hygiene, 65(5), 599–602. [CrossRef] [PubMed] [Google Scholar]
  31. Richard-Lenoble DKM, Chandenier J, Gay F, Billiault X, Nguiri C, Martz M, Boyer F, Bauzou M. 1987. Le paludisme au Gabon. II: Évaluation des prévalences parasitaires qualitatives et quantitatives sur l’ensemble du pays en milieu scolaire et préscolaires. Bulletin de la Société de Pathologie Exotique, 80(3 Pt 2), 532–542. [Google Scholar]
  32. Rulisa S, Kateera F, Bizimana JP, Agaba S, Dukuzumuremyi J, Baas L, de Dieu Harelimana J, Mens PF, Boer KR, de Vries PJ. 2013. Malaria prevalence, spatial clustering and risk factors in a low endemic area of Eastern Rwanda: a cross sectional study. PLoS One, 8(7), e69443. [CrossRef] [PubMed] [Google Scholar]
  33. Sachdev HS, Mohan M. 1985. Vivax cerebral malaria. Journal of Tropical Pediatrics, 31(4), 213–215. [CrossRef] [PubMed] [Google Scholar]
  34. Santos-Ciminera PD, Roberts DR, Alecrim MG, Costa MR, Quinnan GV Jr. 2007. Malaria diagnosis and hospitalization trends, Brazil. Emerging Infectious Diseases, 13(10), 1597–1600. [CrossRef] [PubMed] [Google Scholar]
  35. Singh R, Kumar S, Rana SK, Thakur B, Singh SP. 2013. A comparative study of clinical profiles of vivax and falciparum malaria in children at a tertiary care centre in uttarakhand. Journal of Clinical and Diagnostic Research, 7(10), 2234–2237. [Google Scholar]
  36. Sinton JA, Mulligan HW. 1932. A critica review of the litterature relating to the identification of the malaria parasites recorded from monkeys of family Cercopithecidae and Colobidae. Records of the Malaria Survey of India, III, 357–380. [Google Scholar]
  37. Smith T, Felger I, Tanner M, Beck HP. 1999. Premunition in Plasmodium falciparum infection: insights from the epidemiology of multiple infections. Transactions of the Royal Society of Tropical Medicine and Hygiene, 93(Suppl 1), 59–64. [CrossRef] [PubMed] [Google Scholar]
  38. Smith T, Hii JL, Genton B, Muller I, Booth M, Gibson N, Narara A, Alpers MP. 2001. Associations of peak shifts in age-prevalence for human malarias with bednet coverage. Transactions of the Royal Socety of Tropical Medicine and Hygiene, 95(1), 1–6. [CrossRef] [Google Scholar]
  39. Steenkeste N, Incardona S, Chy S, Duval L, Ekala MT, Lim P, Hewitt S, Sochantha T, Socheat D, Rogier C, Mercereau-Puijalon O, Fandeur T, Ariey F. 2009. Towards high-throughput molecular detection of Plasmodium: new approaches and molecular markers. Malaria Journal, 8, 86. [CrossRef] [PubMed] [Google Scholar]
  40. Tokponnon FT, Ogouyemi AH, Sissinto Y, Sovi A, Gnanguenon V, Cornelie S, Adeothy AA, Osse R, Wakpo A, Gbenou D, Oke M, Kinde-Gazard D, Kleinschmidt I, Akogbeto MC, Massougbodji A. 2014. Impact of long-lasting, insecticidal nets on anaemia and prevalence of Plasmodium falciparum among children under five years in areas with highly resistant malaria vectors. Malaria Journal, 13, 76. [CrossRef] [PubMed] [Google Scholar]
  41. White NJ. 2008. Plasmodium knowlesi: the fifth human malaria parasite. Clinical Infectious Diseases, 46(2), 172–173. [CrossRef] [Google Scholar]
  42. WHO. 2014. World malaria report 2014. World Health Organisation: Geneva. [Google Scholar]
  43. Winskill P, Rowland M, Mtove G, Malima RC, Kirby MJ. 2011. Malaria risk factors in north-east Tanzania. Malaria Journal, 10, 98. [CrossRef] [PubMed] [Google Scholar]
  44. Yentür Doni NYZF, Simşek Z, Zeyrek D. 2014. The effects of intestinal parasites on anemia of children. Turkiye Parazitolojii Dergisi, 38(2), 85–90 (in Turkish). [CrossRef] [Google Scholar]

Cite this article as: Maghendji-Nzondo S, Nzoughe H, Lemamy GJ, Kouna LC, Pegha-Moukandja I, Lekoulou F, Mbatchi B, Toure-Ndouo F & Lekana-Douki JB: Prevalence of malaria, prevention measures, and main clinical features in febrile children admitted to the Franceville Regional Hospital, Gabon. Parasite, 2016, 23, 32.

All Tables

Table 1.

Sequences of primer sets and restriction fragments for each species.

Table 2.

General characteristics of the included patients.

Table 3.

Comparison of characteristics between Plasmodium uninfected versus infected children (diagnosed by RDT and blood smear).

Table 4.

Prevalence of malaria infection according to age group in children (n = 931) (children diagnosed by RDT and blood smear).

Table 5.

Preventive measures between malaria infected and uninfected patients.

All Figures

thumbnail Figure 1.

Distribution of certain fever diseases diagnosed in the children included in the study. *Ear, nose, and throat infections.

In the text
thumbnail Figure 2.

Temporal distribution of plasmodial infection.

In the text

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