High bacterial and viral load in the upper respiratory tract of children in the Democratic Republic of the Congo.

BACKGROUND: Respiratory pathogens including Streptococcus pneumoniae and Haemophilus influenzae, are implicated in the pathogenicity of acute lower respiratory infection (ALRI). These are also commonly found in both healthy and sick children. In this study, we describe the first data on the most frequent bacteria and viruses detected in the nasopharynx of children from the general population in the Eastern DR Congo.
METHODS: From January 2014 to June 2015, nasopharyngeal samples from 375 children aged from 2 to 60 months attending health centres for immunisation or growth monitoring were included in the study. Multiplex real-time PCR assays were used for detection of 15 different viruses and 5 bacterial species and for determination of pneumococcal serotypes/serogroups in the nasopharyngeal secretions.
RESULTS: High levels of S. pneumoniae were detected in 77% of cases, and H. influenzae in 51%. Rhinovirus and enterovirus were the most commonly found viruses, while respiratory syncytial virus (RSV) was rare (1%). Co-occurrence of both bacteria and viruses at high levels was detected in 33% of the children. The pneumococcal load was higher in those children who lived in a dwelling with an indoor kitchen area with an open fire, i.e. a kitchen with an open fire for cooking located inside the dwelling with the resultant smoke passing to the living room and/or bedrooms; this was also higher in children from rural areas as compared to children from urban areas or children not living in a dwelling with an indoor kitchen area with an open fire/not living in this type of dwelling. Immunization with 2-3 doses of PCV13 was associated with lower rates of pneumococcal detection. Half of the identified serotypes were non-PCV13 serotypes. The most common non-PCV13 serotypes/serogroups were 15BC, 10A, and 12F, while 5, 6, and 19F were the most prevalent PCV13 serotypes/serogroups.
CONCLUSIONS: The burden of respiratory pathogens including S. pneumoniae in Congolese children was high but relatively few children had RSV. Non-PCV13 serotypes/serogroups became predominant soon after PCV13 was introduced in DR Congo.

Introduction

The nasopharynx is the niche for potential respiratory pathogens including Streptococcus pneumoniae and Haemophilus influenzae [1-3]. These are the main bacterial pathogens associated with acute lower respiratory infections (ALRIs) in children below 5 years of age [2, 3]. The introduction of conjugate vaccines for S. pneumoniae and H. influenzae type b over the past decades has significantly reduced the burden of bacterial infections in many countries [4]. The 13-valent pneumococcal conjugate vaccine (PCV13), which confers protection against 13 different pneumococcal serotypes was introduced in the routine child immunization program in 2013 in the Eastern DR Congo. A shift towards pneumococcal serotypes not included in the vaccine has been observed in many populations after the introduction of the PCVs [5].

Although most of the pathogens causing lung infections can be detected in the nasopharynx, the occurrence of these does not necessarily indicate disease [6]. In fact similar frequencies of pathogens have been found in healthy children as in children with ALRI [6, 7]. Nevertheless, studies of the nasopharyngeal microbiota of healthy children provide important information on the circulating respiratory viral and bacterial pathogens including distribution of pneumococcal serotypes and level of antibiotic resistance [8]. These factors are important for updating guidelines on the management of childhood ALRI. This is especially the case in countries and regions where there are little or no resources for microbiological testing of patients [8, 9].

To our knowledge, there have been no previous studies of the bacterial and viral loads in the upper respiratory tract of young Congolese children. In our recent analysis of the pneumococci colonizing the nasopharynx of children from the general population in DR Congo, we have found high rates of resistance to commonly used antibiotics [10]. In this study we applied molecular methods on the nasopharyngeal samples which had been obtained from the same cohort of Congolese children for the detection of a broad range of bacteria and viruses and for assessment of the distribution of pneumococcal serotypes with emphasis on the serotypes in PCV13.

Methods

The study was approved by the Commission Institutionelle d’Ethique (CIE) of the Université Catholique de Bukavu (N/Ref: UCB/CIE/NC/22/2014) in accordance to existing ethical guidelines in D.R Congo and the Swedish regional ethical committee in Göteborg (N°: 504–16). The South-Kivu provincial Medical Doctor of Health in Bukavu was informed and approved the study (Ref: 065/CD/DPS-SK/2015). Informed oral and written consent was obtained from the accompanying parent or guardian of each child included in the study.

Study population

From January 2014 to June 2015, 794 children aged from two to 60 months attending health centres in the Kivu province in the Eastern DR Congo for immunisation or growth monitoring were included in a culture-based study on pneumococcal carriage as previously described [10]. Nasopharyngeal samples collected from 375 of these children recruited at health centres in the city of Bukavu (Panzi, n = 80) or the surrounding rural area (Nyantende, Muku and Kaziba, n = 295) were made available for molecular analysis of microbial pathogens and pneumococcal serotypes. Written questionnaires relating to immunisation status and demographic factors were completed for the enrolled children either by trained final-year medical students or nurses in the presence of a paediatrician. For the 253 children enrolled in 2015, additional questionnaires relating to socio-economic conditions and previous illnesses were included. Basic physical examinations of all children were performed to monitor signs of respiratory tract infection. Weight and height were also measured.

Specimen collection

A nasopharyngeal specimen was obtained from the participating children using a flocked swab transported in Amies Medium (ESwabTM, Copan Diagnostics Inc., Murrieta, CA). At each centre one qualified investigator collected the sample following a standardised procedure as previously described [10]. The samples were transported to the Clinical Laboratory at Panzi Hospital within two to six hours for subsequent pneumococcal culture [10]. The samples were then stored at -20°C prior to shipment to The Department of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden. Here they were stored at -80°C until analysed (see below).

Bacterial and viral nucleic acid detection

Nucleic acids extracted from 200 μL of the nasopharyngeal sample using a MagNA Pure LC instrument (Roche Diagnostics, Mannheim, Germany) and the Total Nucleic acid Isolation kit (Roche Diagnostic) were eluted in 100 μL elution buffer and were then stored at -20°C awaiting further analysis.

A previously described multiplex real-time PCR assay was used for detection of 15 different viruses (adenovirus, bocavirus, coronavirus 229E, HKU1, NL63 and OC43, enterovirus, influenza A and B, human metapneumovirus, parainfluenza 1–3, rhinovirus and respiratory syncytial virus (RSV)) and 5 different bacterial species (Bordetella pertussis, Chlamydia pneumoniae, H. influenzae, Mycoplasma pneumoniae and S. pneumoniae) [11]. A PCR Cycle threshold (Ct)-value of <35 was considered a positive result with values of Ct<30 indicating high levels of nucleic acids. Pneumococci were identified both by detection of the lytA gene included in the multiple pathogen panel, mentioned above and by occurrence of the cpsA gene included in the serotyping multiplex real-time PCR panel (see below). A sample was considered positive for pneumococci if one or both of these genes were detected. For analysis of pneumococci at high levels, either lytA or cpsA, or both, were detected at Ct levels below 30.

Pneumococcal serotyping

A multiplex real-time PCR capable of detecting 40 different serotypes/serogroups including the 13 serotypes in PCV13 was performed according to a previously published protocol [12]. Each multiplex included the pneumococcal capsule-coding gene cpsA in order to verify the occurrence of pneumococcal DNA in the sample. In addition, two pUC57 plasmids containing PCR target amplicons for all serotypes were included in the panel as positive controls.

Data management and statistical analysis

Descriptive analysis was performed using the SPSS package (version 24.0) for logistic regression to analyse the relationship between nucleic acid identification and socio-demographic or medical factors. Prevalence rates and the 95% confidence interval (CI) were calculated. Potential variables associated with identified bacteria or viruses were assessed by odds ratios (OR) with a 95% CI and were tested by univariable analysis with the Pearson’s chi-squared test or the Fisher’s exact test (if n < 5). Associations with p-values of p < 0.2 were re-analysed by multivariable analysis. A p-value of < 0.05 was considered statistically significant. The Mann-Whitney U-test was used for comparison of medians and the unpaired t-test for Ct-values in relation to socio-demographic factors. As classified by the Emergency Nutrition Assessment (ENA) software (version 2011), malnutrition was defined as either the weight for the subjects’ age or weight vs. height giving a Z score of ≤ -2 standard deviations.

Results

Detection of bacterial and viral nucleic acids

S. pneumoniae was the most common pathogen, detected by real-time PCR in 86% of the nasopharyngeal samples whereas H. influenzae was detected in 69% ( When employing a more stringent cut-off level (Ct <30), bacteria were found in 83% of the samples; S. pneumoniae was found in 77% of the cases and H. influenzae in 51% ( The most frequently detected virus was rhinovirus (49%) followed by enterovirus and parainfluenza virus in 22% and 17% of the samples, respectively. RSV was only found in 1% of the cases, and influenza virus was rarer still (). When only high levels of viral nucleic acids were considered (Ct-value of <30), rhinovirus was found in 30% of the cases and only a few samples were positive for enterovirus or any other respiratory virus ( Co-occurrence of bacteria and viruses was common; for 269 (72%) of the children at least one bacterium and one virus were detected when using a cut-off level of Ct<35, and 122 (33%) when a cut-off level of Ct<30 was used. Pneumococci together with any virus, both at high levels (Ct<30), were detected in 114 (30%) children.

Associations between pathogens and socio-demographic or medical factors

A higher frequency of pneumococci at high levels (Ct<30) was observed in the children living in rural areas as compared to urban locations (80% versus 67%; OR 1.92; 95% CI 1.11–3.33; p = 0.019) and among children who lived in dwellings with an indoor kitchen area with an open fire, i.e. a dwelling with a cooking area with an open fire located inside the dwelling with the resultant smoke passing to the living room and/or the bedrooms as compared to those children living in a dwelling not having an indoor kitchen area with an open fire, or a kitchen not directly connected to the bedrooms or living room, or a kitchen located outside the dwelling (88% vs. 66%; OR 2.97; 95% CI 1.38–6.41; p = 0.005) (). The mean Ct-levels of detected pneumococci were also lower in children living in a dwelling with an indoor kitchen area with an open fire with the resultant exposure to indoor smoke from the cooking area as compared to those not living in this type of dwelling (). Significantly lower Ct-values (i.e. a higher bacterial load) were also detected for both pneumococci and H. influenzae in children living in rural areas as compared to those living in the Bukavu urban areas (). No significant associations were found between high levels of pneumococci and age, sex, number of people living in the house, parental smoking, number of siblings nor having animals in the house (. Immunization with 2–3 doses of PCV13 was associated with slightly lower rates of pneumococci detected at high levels (Ct-value of <30) (OR 0.57; 95% CI 0.33–0.98; p = 0.045) (). Also, by using the cut-off level of Ct<35, a small reduction in the carriage of pneumococci could be detected between children who had received 2–3 doses of PCV13 as compared to those who had received none or just 1 dose (82% versus 91%; OR 0.49; 95% CI: 0.26–0.92, p = 0.026). There was no significant association between occurrence of any of the viruses detected at high levels (Ct-value of <30) and any of the socio-demographic or medical factors reported (S1 Table).

Socio-demographic factors in relation to pneumococci and H. influenzae detected by real-time PCR in nasopharyngeal secretions.

PCR Cycle threshold (Ct) values <35 for the detection of the pathogens and means are shown (for pneumococci only detection of the LytA gene is shown). The lower Ct value, the higher amounts of nucleic acids are present in the sample. Indoor kitchen area with an open fire: Kitchen with an open fire located inside the dwelling being directly connected to the living room and/or the bedrooms. Separate kitchen: Kitchen which may located inside the dwelling but not having an open fire, or it may be located inside the dwelling there being no direct connection with the living room and/or bedrooms, or it may be located outside the dwelling.

Pneumococcal serotypes/serogroups detected by real-time PCR

From the 324 nasopharyngeal samples that were positive for pneumococci, 217 (67%) were positive for at least one serotype/serogroup. However, our PCR panel could not identify any pneumococcal serotypes/serogroups in the remaining 107 (33%) nasopharyngeal samples in which pneumococci had been detected. One serotype/serogroup was detected in 127 samples, two serotypes in 61, three serotypes in 22, four serotypes in six samples and five serotypes in one sample. From all 344 serotypes/serogroups identified, 179 (52%) belonged to PCV13, while 165 (48%) were non-PCV13 serotypes/serogroups. Among the PCV13 serotypes/serogroups detected, serotype 5 was the most prevalent (15%) followed by serogroup 6 (12%) and serotype 19F (10%) (). The most common non-PCV13 serotypes were 15BC, 10A and 12F (8% for all, ). In children from rural areas, serotype 5 was detected significantly more often than those from urban areas while serotype 12F was more prevalent in urban areas than rural areas ( PCV13 serotypes/serogroups were as common among children who had received 2–3 doses of PCV13 as they were in children who had received none or just 1 dose (48/96, 50% vs. 131/248, 53%). Sixty samples were positive for the cpsA gene which specifies the pneumococcal capsule but were negative for any serotype included in the panel. From all samples, 49 were negative for cpsA but were positive for lytA, indicating the occurrence of non-encapsulated non-typeable pneumococci.

Discussion

In the present study we assessed the prevalence of potential pathogenic bacteria and viruses in the nasopharynx of healthy children in the DR Congo. This is important for the future prevention and management of acute lower respiratory infections in the area. To our knowledge, there are no other published studies from the country using a broad approach for detection of respiratory pathogens in children.

The most common bacteria detected by PCR were pneumococci and H. influenzae; these were detected in 86% and 69% of the included children, respectively. A similar rate of pneumococci as detected by PCR from nasopharyngeal secretions of healthy children was reported from Zanzibar, Tanzania (83%)[7] while lower rates were reported for children from the general population in Thailand (58%) and from children attending day-care centres in the United Kingdom (65%) [13, 14]. The variation in detection rates between the different studies could be explained by differences in the sensitivity and cut-off levels of the PCR methods used for microbial detection [15]. The high pneumococcal detection rates reported in this and other studies may also be due to high numbers of local infection foci with bacterial transmissions between children in this area. At the time of this study, 68% of children had either not received PCV13 or only a single dose, which might contribute to the high detection rate. We found that immunisation with 2 or 3 doses of PCV13 was associated with lower prevalence of pneumococci thus corroborating earlier findings in Ethiopia [16] and the findings of our previous study [10] although this reduction was modest. A reducing effect of PCV13 immunisation on pneumococcal carriage has been reported and proven in several studies [17]. However, carriage of both PCV13 and non-PCV13 serotypes are common among Sub-Saharan children both before and after introduction of the conjugate vaccines [18-21] and we did not report any differences in serotype distribution between vaccinated and non-vaccinated children.

The carriage rate of pneumococci was high even when only high levels of nucleic acids were considered (77%, Ct value <30). We previously assessed pneumococcal carriage by culture from the same cohort of patients. This indicated a rather low prevalence (20%) as compared to other studies performed in the post-PCV13 era in Sub-Saharan Africa, in particular Malawi, the Gambia, South Africa, Kenya, Ethiopia and Mozambique [19-24]. The results in this study indicate that culture methodology limitations could account for the relatively low pneumococcal prevalence in Congolese children. The use of molecular methods may contribute further valuable information concerning circulating pathogens within the population.

We found associations between high nucleic acid levels for both pneumococci and H. influenzae in the nasopharynx of children living in rural areas. By using detection by culture we previously showed a similar association for pneumococci [10]. The same observation was also described in Laos among children 1–2 years of age [25]. As reported in our previous culture-based study, we can also confirm an association between pneumococcal detection at high levels and dwellings having an indoor kitchen area with an open cooking fire [10]. It remains to be investigated whether the higher load of pneumococci present in these children is associated with exposure to toxic smoke resulting from the presence of an indoor cooking area with an open fire.

The most frequently detected virus was rhinovirus (49%), followed by enterovirus (22%) and parainfluenza virus (17%). Rhinovirus was the most frequently detected virus in the healthy control group of a multi-centre childhood pneumonia study in eight low- and middle-income countries in Africa, Asia and South America [26]. Rhinovirus followed by enterovirus (26% and 12%, respectively) was also reported as being the most prevalent virus detected in the nasopharynx of children attending day-care centres in Norway [27]. However, these viruses were less prevalent than in the Congolese children. Many factors may influence regional differences in viral detection rates such as seasonal variations, outbreaks, environmental factors and genetics [28]. Rhinovirus was found to be equally common in pneumonia cases as in control children in the Pneumonia Etiology Research and Child Health (PERCH) multi-center study performed in seven countries in Africa and Asia [6]. Also, in children from the Soweto township of Johannesburg in South Africa the prevalence of rhinovirus was similar among pneumonia cases and controls (23% versus 22%) with a much lower prevalence in the control group as compared to the findings of our study [29]. In Russia, rhinovirus was more frequently detected in healthy controls than in children with community-acquired pneumonia; the same was found in Tanzania for control children as compared to those with acute febrile illness[7, 30]. A study from USA of under-fives reported an equal prevalence of coronaviruses (other than SARS-CoV-2) in hospitalized cases with fever and/or acute respiratory illness compared to controls (8% versus 7%) which was similar to our observed prevalence of 5% [31]. Our data confirm previous observations that potential pathogens are abundant in healthy children. Consequently, the detection of pathogenic bacteria or viruses in the upper respiratory tract of sick children should be interpreted with caution. Several studies have reported RSV to be among the most frequently detected viruses in the nasopharynx of children with pneumonia; however, a significantly lower frequency was reported in the controls [6, 26, 30]. In the present study, only a few children had a positive detection of RSV in the nasopharynx.

Co-occurrence of bacteria and viruses was common in our study, as measured by either the higher (Ct-value <35) or the lower (Ct-value <30) detection level with rates of 72% and 33%, respectively. A similar rate (76%) of bacterial and viral co-occurrence was reported among the control children from the general population in the PERCH multi-center pneumonia study [6, 29]. Variable rates of multiple pathogens have been described in Gambian infants (94%), in healthy Tanzanian children (83%) and in healthy children aged from 6 weeks to 24 months in the Netherlands (38%) [32-34].

In the present study serotype 19F was among the most prevalent PCV13 serotypes in the detected pneumococci. This was similar to findings from Uganda [35] and our previous culture-based study [10]. However, the highest prevalence of serotype 5 recorded by PCR directly on the nasopharyngeal samples was different to the serotype prevalences identified by cultural isolation from the same cohort of children [10]. This suggests molecular methods to be a valuable complement to detection by culture for assessment of circulating pneumococcal serotypes. While serotype 19A was fairly prevalent, serotype 3 was not detected at all. Both these serotypes, together with 6A, were added in PCV13; however, these were not present in the 7-valent nor the 10-valent pneumococcal conjugate vaccines. Despite the introduction of PCV13 immunisation serotype 3 still causes invasive pneumococcal disease in many countries. Several studies indicate that this may be a consequence of the poor protection of PCV13 against serotype 3 colonization [36]. It has also been reported that serotype 19A pneumococci were still at 5% among children in New York five years after PCV13 introduction. However, there had been a significant drop in overall pneumococcal incidence since the pre-vaccine era [5].

At 48%, the prevalence of non-PCV13 serotypes/serogroups among the Congolese children was high. However, the PCR method cannot differentiate all the serotypes in serogroup 6, of which only 6A and 6B are included in PCV13. Similarly, for serogroup 9, only 9V is included in PCV13, thus implying that the prevalence of non-PCV13 serotypes may be higher than indicated in this study. Moreover, 107 samples which were positive for pneumococci were negative in our serotype PCR assay. This method has been designed primarily to detect vaccine-containing serotypes. Therefore, the prevalence of non-PCV13 serotypes may be high. Forty-nine of our samples were negative for the pneumococcal capsule gene cpsA but were positive for the pneumococcal autolysin lytA gene thus suggesting occurrence of non-encapsulated non-typeable pneumococci. However, no analyses have been performed to confirm this observation. A high prevalence of non-PCV13 serotypes has previously been described in the Gambia [19], Malawi [37] and Tanzania [38] probably due to serotype replacement following PCV introduction as observed in many countries [19, 39, 40]. The geographic disparity of pneumococcal carriage around the world may contribute to this phenomenon [41, 42].

Using either detection by culture or molecular methods serotypes 10A and 15BC were among the most prevalent non-PCV13 serotypes in the Congolese children [10]. The non-PCV13 serotypes 15BC followed by 10A, 21 and 16F were also the most prevalent serotypes in South-African infants after introduction of PCV13 vaccination in South Africa [20]. Differences in serotype distribution might be explained by the geographic heterogeneity of circulating serotypes and may be attributable to environmental factors such as crowding or genetic factors [42].

In 90 samples we were able to detect more than one serotype indicating carriage of more than one pneumococcal strain. However, the clinical significance of this remains unclear. The interplay between commensals and potential pathogens on the upper respiratory mucosa in health and disease is complex and thus warrants further studies on the nasopharyngeal microbiome.

Conclusions

We report a high prevalence of both bacteria and viruses in the nasopharynx of children from the general population in DR Congo. The bacteria included S. pneumoniae and H. influenzae. The viruses were predominantly rhinovirus and enterovirus with a low level of RSV. Both living in a rural area and having an indoor kitchen area with an open fire were associated with a higher pneumococcal load while PCV13 vaccination was associated with lower rates of pneumococcal detection. Our results show a predominance of non-PCV13 serotypes among children in DR Congo.

(DOC)

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Table 1

Detection of pathogens by real-time PCR using the cut-off levels Cycle threshold, Ct- value of <35 (all positive) and Ct<30 (only high levels), respectively, in nasopharyngeal secretions from 375 children at age 2–60 months attending health centres for scheduled routine immunisation or growth monitoring.

	N (%) positive by real-time PCR
Pathogens	High level Ct<30	Any level Ct<35	Ct-values in positive samples (median, range)
Streptococcus pneumoniae	289 (77)	324 (86)	25.3 (18.0–34.7)
Haemophilus influenzae	190 (51)	257 (69)	27.0 (18.5–34.9)
Bordetella pertussis	4 (1)	11 (3)	30.8 (25.5–34.5)
Chlamydia pneumoniae	3 (1)	7 (2)	32.8 (24.8–34.8)
Mycoplasma pneumoniae	2 (0.5)	3 (1)	29.4 (25.1–33.4)
Any bacteria	313 (83)	349 (93)	-
Rhinovirus	113 (30)	182 (49)	29.1 (20.2–34.9)
Enterovirus	26 (7)	81 (22)	32.0 (19.2–34.9)
Parainfluenza virus	6 (2)	63 (17)	32.0 (19.4–34.9)
Coronavirus	7 (2)	20 (5)	30.9 (26.5–34.8)
Bocavirus	9 (2)	17 (5)	29.5 (15.8–34.7)
Adenovirus	11 (3)	14 (4)	26.9 (16.3–34.0)
RSV	2 (0.5)	4 (1)	28.7 (10.0–33.7)
Human metapneumovirus	4 (1)	7 (2)	29.2 (20.3–34.6)
Influenza A virus	0 (0)	1 (0.3)	34.5
Any virus	147 (39)	282 (75)	-
Co-occurrence of any bacteria and any virus	122 (33)	269 (72)	-

RSV = Respiratory syncytial virus

Table 2

Socio-demographic factors in relation to pneumococci detected at high levels by real-time PCR in nasopharyngeal secretions from 375 children at age 2–60 months attending health centres for scheduled routine immunisation or growth monitoring.

Data are presented using the PCR cut-off level of Ct <30.

Socio-demographic factors		Pneumococci detected / N (%)	OR (95% CI)	p-value
Sex	Girls	152/199 (76)	0.89 (0.54–1.44)	0.63
	Boys	138/176 (75)	1.12 (0.69–1.82)	0.63
Age in months	< 6	65/88 (74)	1.00
	6–12	79/103 (77)	1.16 (0.60–2.25)	0.65
	> 12–24	50/65 (77)	1.17 (0.55–2.49)	0.66
	> 24–36	51/62 (82)	1.64 (0.73–3.67)	0.22
	> 36–60	45/57 (79)	1.32 (0.59–2.93)	0.48
Health centres	Panzi	54/80 (67)	1.00
	Nyantende	89/98 (91)	4.28 (1.91–9.57)	0.0004
	Muku	86/105 (82)	2.17 (1.10–4.31)	0.025
	Kaziba	61/92 (66)	0.94 (0.50–1.79)	0.86
Location of residence	Urban	54/80 (67)	1.00
	Rural	236/295 (80)	1.92 (1.11–3.33)	0.019
Number of people living in the dwelling1	1–5	75/101 (74)	1.00
	> 5 - ≤ 10	110/145 (76)	1.08 (0.60–1.95)	0.77
	> 10	5/7 (71)	0.86 (0.15–4.74)	0.86
Siblings1	< 4	160/214 (75)	1.00
	≥ 4	30/39 (77)	1.12 (0.50–2.51)	0.77
Having animals in the dwelling 1
Hen		26/33 (79)	1.26 (0.52–3.08)	0.59
Goat		24/29 (83)	1.67 (0.61–4.59)	0.31
Cow		11/14 (79)	1.22 (0.33–4.55)	0.75
Other animals		37/48 (77)	1.14 (0.54–2.40)	0.72
Partly breastfeeding (months)1	< 6	73/103 (71)	1.00
	7–12	93/118 (79)	1.52 (0.82–2.82)	1.17
	> 12	24/32 (75)	1.23 (0.49–3.05)	0.65
Kitchen1	Separate kitchen2	127/181 (70)	1.00
	Indoor kitchen area with an open fire3	63/72 (88)	2.9 7(1.38–6.41)	0.005
Most important fuel for cooking1	Electricity	23/35(66)	1.00
	Wood	72/93 (77)	1.78 (0.76–4.18)	0.18
	Charcoal	85/112 (76)	1.64 (0.72–3.73)	0.23
	Combination (electricity + charcoal)	10/13 (67)	1.73 (0.40–7.54)	0.45
Parental tobacco smoking1		10/11 (91)	3.44 (0.43–27.45)	0.24

These data were collected from 253 children

2 Separate Kitchen—Kitchen possibly located inside the dwelling but not having an open fire (for example electricity), or a kitchen located in the dwelling without a direct connection to the living room and/or bedrooms, or a kitchen located outside the dwelling.

3 Indoor kitchen area with an open fire—Kitchen area with an open fire located inside the dwelling with the resultant smoke passing to the living room and/or bedrooms

Table 3

Medical factors in relation to pneumococcal detection at high levels in nasopharyngeal secretions from 375 children aged 2–60 months attending health centres for scheduled routine immunisation or growth monitoring.

Real-time PCR results with a cut-off level of Ct<30 are shown.

Medical Factors		Pneumococci detected/N (%)	OR (95% CI)	p-Value
Immunisation Hib1	0 dose	23/30 (77)	1.00
	1 dose	45/59 (76)	0.97 (0.34–2.75)	0.96
	2–3 doses	222/286 (77)	1.05 (0.43–2.57)	0.90
Immunisation PCV132	0 doses	142/176 (81)	1.00
	1 dose	64/80 (80)	0.95 (0.49–1.85)	0.89
	2–3 doses	84/119 (71)	0.57 (0.33–0.98)	0.045
Ongoing symptoms3	Fever	17/19 (89)	2.99 (0.67–13.35)	0.14
	Cough	66/81 (81)	0.67 (0.41–1.09)	0.11
	Runny nose	18/21 (86)	2.09 (0.59–7.35)	0.24
	Others symptoms4	47/58 (81)	1.63 (0.78–3.39)	0.19
History of disease3	Malaria	26/34 (76)	1.08 (0.46–2.54)	0.84
	Gastroenteritis	23/34 (68)	0.65 (0.29–1.42)	0.28
	Asthma	10/12 (83)	1.69 (0.36–7.94)	0.50
	Neonatal problems	39/48 (81)	1.54 (0.70–3.40)	0.27
	History of hospitalization	43/61 (70)	0.73 (0.38–1.39)	0.34
	Other diseases5	21/25 (84)	1.83 (0.60–5.55)	0.28
	History of antibiotic treatment (last month)	33/45 (73)	0.89 (0.42–1.85)	0.76

Hib: Haemophilus influenzae type b vaccine

PCV13: 13-valent pneumococcal conjugate vaccine

3 These data were collected from 253 children

4 Others symptoms: abdominal pain, skin rash, headache

5 Other diseases: injuries, meningitis, and post-surgery complications

Table 4

Pneumococcal serotypes/serogroups (n = 344) detected in nasopharyngeal secretions from 217 children aged 2–60 months living in rural or urban areas in the Eastern DR Congo.

	Number of cases (%)
Pneumococcal serotype/serogroup	Rural area n = 293	Urban area n = 51	OR (95% CI)	p-value
PCV13 serotypes/serogroups
5	50 (17)	1 (2)	10.28 (1.38–76.22)	0.022
6ABCD	36 (12)	6 (12)	1.05 (0.41–2.63)	0.91
19F	33 (11)	2 (4)	3.10 (0.72–13.38)	0.12
19A	15 (5)	4 (8)	0.63 (0.20–1.99)	0.43
14	13 (4)	3 6)	0.74 (0.20–2.70)	0.65
23F	7 (2)	1 (2)	1.22 (0.14–10.16)	0.85
7FA	3 (1)	0 (0)	-	-
1	2 (1)	0 (0)	-	-
18	1 (0.3)	0 (0)	-	-
9AV	1 (0.3)	0 (0)	-	-
4	1 (0.3)	0 (0)	-	-
Non-PCV13 serotypes/serogroups
15BC	22 (8)	7 (14)	0.51 (0.20–1.26)	0.14
10A	21 (7)	7 (14)	0.48 (0.19–1.20)	0.12
12F	20 (7)	8 (16)	0.39 (0.16–0.95)	0.038
7C	20 (7)	4 (8)	0.86 (0.28–2.63)	0.79
11A	16 (5)	4 (8)	0.67 (0.21–2.11)	0.50
9NL	10 (3)	3 (6)	0.56 (0.15–2.12)	0.39
38	6 (2)	0 (0)	-	-
2	6 (2)	0 (0)	-	-
20	5 (2)	1 (2)	0.86 (0.99–7.58)	0.89
22FA	5 (2)	0 (0)	-	-