Abstract
In Sub-Saharan Africa, where burden, impact, and incidence of acute respiratory infections (ARI) are the highest in the world, conversely, the epidemiology of influenza-associated severe acute respiratory infections (SARI) is incompletely known. The aim of this study was to describe the clinical and epidemiological features of influenza-associated SARI in hospitalized children in Maputo city, Mozambique. Nasopharyngeal and oropharyngeal swabs were collected from children aged 0–14 years old who met the case definition for SARI in two hospitals in Maputo city after their parents or legal representative consented to participate. A structured questionnaire was used to collect clinical and demographic data. Typing and subtyping of influenza were performed by real-time PCR. From January 2014 to December 2016, a total of 2,007 eligible children were recruited, of whom 1,997 (99.5%) were screened for influenza by real-time PCR. The median age of participants was 16.9 months (IQR: 7.0–38.9 months) and 53.9% (1076/1991) were male. A total of 77 were positive for influenza, yielding a frequency of 3.9% (77/1,991), with the highest frequency being reported in the age group 1–5 years old. Cases of influenza peaked twice each year, during which, its frequency reached up to 60%-80%. Among all influenza confirmed cases, 33.7% (26/77), 35.1% (27/77) and 28.6% (22/77) were typed as influenza A/H3N2, A/H1N1pdm09, and B, respectively. This represents the first report of influenza in urban/sub urban setting in Mozambique and the first evidence of distribution of strains of influenza in the country. Our data showed that frequency of influenza was lower than reported in a rural setting in Mozambique and the frequency of seasonal (A/H1N1pdm09) and (A/H3N2) subtypes were similar in children with SARI.
Introduction
The World Health Organization (WHO) estimates that worldwide, 20–30% of children are infected with the influenza virus each year, causing 1 to 2 million cases of Severe Acute Respiratory Illness (SARI) and up to 100,000 progress to death each year. Of these, up to 90% are known to occur in developing countries [1]. Sub-Saharan Africa still remains one of the most affected regions, accounting for almost 50% of cases of ARI and 20% of cases of cases of influenza-associated SARI in children worldwide [2–7]
Although now we know more about influenza in sub-Saharan Africa compared to 10 years ago [8–10], available data is still insufficient to inform the development of preventive and control strategies in the continent and gaps in terms of representativeness still exist. In Sub-Saharan Africa, the high burden of comorbidity conditions, including HIV, tuberculosis, and under nutrition, combined with the limited access to health care services may lead to worse outcomes associated with influenza infection [11].
Although several studies conducted in the Sub-Saharan Africa suggests that the burden of influenza is significant [12–14], the disease remains heavily neglected in many countries in the region, including Mozambique, where no surveillance system for influenza exists.
On the other hand, the seasonality of influenza virus is heterogenic in different regions worldwide, for instance, while in most of the countries in the tropics, influenza occurs, both in the dry and rainy season [15–18], in the temperate climate, influenza occurs mostly in winter season [19]. In this context, it's important to understand the seasonality of influenza in each country as country-to-country variation also occur.
Lack of local information on the epidemiology of influenza-associated SARI represents an important barrier to the definition and implementation of interventions to reduce its burdens, such as vaccination and anti-viral treatment targeting high-risk groups.
Another important aspect to consider is that in Mozambique, Haemophilus influenzae type b and Streptococcus pneumoniae vaccination was introduced in the immunization schedule in 2009 and 2013, respectively, which may have led to a reduction in the burden of bacterial pneumonia. In this context, there is an increasing concern that respiratory virus, including influenza viruses, may have become a leading cause of pneumonia in children, but data on the epidemiology of influenza-associated SARI in children are scarce. In Mozambique, Influenza vaccine is not available in the public sector and no approved guidelines exist for influenza vaccination. No vaccine had been purchased in the public sector in the country. Similarly, no antiviral is available in the public sector in Mozambique. In regard to private sector, no control exists on the use of influenza vaccines or antivirals. The few studies conducted so far were all from a small rural village in southern Mozambique[20–22], which limits extrapolation to other areas of the country, particularly in a time in which the country is experiencing a rapid growth of people living in highly crowded sub urban settings [23]. On the other hand, no study had been conducted to assess the distribution of strains of influenza virus in Mozambique. Thus, the aim of this study was to describe the clinical and epidemiological features of influenza-associated SARI in hospitalized children in Maputo city, Mozambique from January 2014 to December 2016. Our study is the first to be conducted in hospitalized children from urban/sub urban settings in Mozambique and the first that describes the most common types and sub-types of influenza circulating in children with SARI in Mozambique.
Material and methods
Study setting and participants
This study was conducted as part of the national sentinel surveillance system for influenza in Mozambique. Influenza surveillance system was established by the National Institute of Health in 2014 at two hospitals in Maputo city (Fig 1A), the Maputo Central Hospital and the Mavalane General Hospital, respectively (Fig 1B). These hospitals were selected as they are the main hospitals in Maputo city, the capital of the country. They serve and are representative of the urban/sub urban population of Maputo city. In addition, both hospitals have a paediatrics ward and paediatrics intensive care. Maputo Central Hospital, with a total of 323 beds in the paediatrics ward, is the largest hospital in the country. Mavalane General Hospital is situated in the sub-urban area of Maputo city and has a total of 68 beds in the paediatrics ward.
Fig 1. Geographical representation of the study area.
The left panel shows the geographical localization of Maputo city in the Mozambique map. The right panel shows the location of Maputo Central Hospital (H in the blue box) and Mavalane General Hospital (H in the white box), respectively.
At each hospital, inpatient children from 0 to 15 years old, who met the World Health Organization (WHO) case definition for SARI were recruited by a trained physician. Participants were recruited between January 2014 and December 2016. Nasopharyngeal and oropharyngeal swabs and epidemiologic data from SARI cases were collected by trained clinicians or nurses in average 24h after admission.
The climate in Maputo is tropical humid with two distinct seasons, rainy (wet) season from November through April and the dry season from May to October. The total population of Maputo city is 1,257.453 inhabitants [24].
Case definition
As per WHO guidelines, a SARI case is defined as a patient acute respiratory infection with self-reported fever or measured fever (>38°C), cough, with onset within the last 10 days and requires hospitalization [25].
A confirmed case of influenza was defined as a patient with a positive result by real-time PCR for influenza.
Enrollment of participants and data collection
All SARI cases admitted to the pediatric wards at the two hospitals were eligible for enrollment. However, because a large number of children with SARI are daily admitted to both hospitals, each day only the first three recently admitted SARI cases were systematically enrolled in order to minimize selection bias. The number of children recruited daily was defined based on the available capacity for laboratory testing and to ensure a high quality of sample collection and also a high rate of completeness of case investigation forms. On a daily basis, the identification of SARI cases to be enrolled was performed based on the time of admission, which was available in the logbook at paediatrics ward. Consent to participate was requested to each child's parent or legal representative before enrollment.
Upon enrolment, a standardized case investigation form (CIF) (S1 File) was completed for each participant. The form contained information on demographic characteristics (age, sex, weight, height, address), vaccination (BCG, DTP, HepB, PVC10, Measles and Influenza), reason for hospitalization (bronchopneumonia, pneumonia, bronchitis, tuberculosis or suspected tuberculosis, asthma), clinical presentation (fever, cough, chills, difficulty breathing, sore throat) co-morbidities (asthma, diabetes, chronic liver disease, cardiovascular disease, neuromuscular disease) and HIV status. Data were collected by the clinicians or nurse, either by reviewing the patient file (demographic characteristics, clinical history, and presentation, HIV status) or and by interviewing the child’s legal representative or caregiver (risk factors for severe disease, previous symptoms, duration of symptoms, antibiotic treatments prior hospitalization.
Specimen collection and laboratory testing
Two flocked plastic/polyester swabs (Becton Dickinson, USA, MD) were used to collect a nasopharyngeal and an oropharyngeal sample from each patient. Then the swabs were placed in a vial containing 3 mL of virus transport medium (VTM) with antibiotics and sent on the day of their collection, at 2−8 °C, to the Virus Isolation Laboratory (LIV) which is located on within the campus of the Maputo Central Hospital, and 20 minutes away from the Mavalane General Hospital if driving. At the LIV, swabs were removed and the VTM from each sample was split into two aliquots and stored at −70 °C. One hundred and forty micro litres of samples were used to extract RNA using QIAamp viral RNA mini kit (Qiagen Inc., Valencia, Spain), following the manufacturer instructions. One-step RT–PCR was carried out using the Human Influenza Virus Real-Time RT-PCR Diagnostic Panel developed by the Center for Diseases Control and Prevention (CDC), Influenza Division (USA, Atlanta). Specimens with a crossover threshold (CT) values ≤ 38 were considered positive. Specimens found positive for influenza A virus were subsequently sub typed for seasonal H1 and H3, using another real-time RT–PCR with primers, probes and positive controls provided by CDC-Atlanta (Quiagen, USA, Atlanta).
Data analysis
Descriptive statistics, including calculation of frequencies of categorical variables. Per demographic and clinical characteristic, the proportion of influenza positive tests were computed. Chi-squared test and Mann-Whitney test were used to compare influenza positive and negative children in terms of their demographic and clinical characteristics. For proportions, we report the binomial exact 95% confidence-intervals. To estimate time trends of the proportion of influenza positive tests per each demographic and clinical characteristic we fit a log-binomial regression with calendar time, the dummy of the levels of the characteristic and the calendar time and dummies interaction terms. Only the overall p-value of the interaction is reported to test for heterogeneity of time trends per characteristics. All analysis were performed using Stata software package (College Station, Texas: StataCorp, USA, 2005). The significance level was set at 5%.
Ethics statement and consent to participate
The study was approved by the Mozambican National Bioethics Committee (Ref #: IRB00002657). Verbal consent was obtained from the legal representative of each child as per the requirements of the routine sentinel surveillance system.
Results
Characteristics of SARI children
From January 2014 to December 2016, a total of 2,007 eligible children were recruited at two sentinel hospitals in Maputo and tested for influenza using RT-PCR, of whom 16 were excluded from the study because of lack of information on their age (Fig 2).
Fig 2. Flowchart of patient recruitment and sample testing.
From January 2014 through December 2016, a total of 23.487 children were seen at the Pediatric ward of Mavalane General Hospital and Maputo Central Hospital, of whom 8,947 were admitted with SARI. Of these, 2,007 patients were enrolled and screened for influenza virus, of whom, a total of 16 were excluded due to lack of information on their age, yielding a final sample of 1,997.
In this context, the final sample comprised a total of 1,997 children, corresponding to 22.3% (1,997/8,947) of the total number of children hospitalized with SARI during the same period.
The median age of SARI children was 16.9 months (IQR: 7.0–38.9 months) and 1076 (53.9%) were male (Table 1).
Table 1. Clinical and demographic characteristics of study participants.
| SARI | Flu Negative | Flu Positive | Influenza-positive | p-value |
|
|---|---|---|---|---|---|
| Characteristic | N (%) | N | N | % (95%CI) | |
| Total | 1997 (100.0) | 1920 (100.0) | 77 (100.0) | 3.9 (3.1–4.8) | |
| Age in months* | |||||
| Min–Max | 0.1M - 14.0Yr | 0.1M - 14.0Yr | 1.0M - 14.0Yr | ||
| Median (IQR) | 16.9 (7.0–38.9) | 16.8 (7.0–38.6) | 18.8 (9.8–44.3) | 0.170 | |
| Categories | 0.194 | ||||
| < 6 | 435 (21.8) | 426 (22.2) | 9 (11.7) | 2.1 (1.0–3.9) | |
| 6–11 | 331 (16.6) | 317 (16.5) | 14 (18.2) | 4.2 (2.3–7.0) | |
| 12–23 | 444 (22.2) | 423 (22.0) | 21 (27.3) | 4.7 (3.0–7.1) | |
| 24–59 | 493 (24.7) | 474 (24.7) | 19 (24.7) | 3.9 (2.3–6.0) | |
| 5Yr– 14Yr | 294 (14.7) | 280 (14.6) | 14 (18.2) | 4.8 (2.6–7.9) | |
| Gender | 0.633 | ||||
| Male | 1076 (53.9) | 1032 (53.8) | 44 (57.1) | 3.6 (2.4–5.0) | |
| Female | 842 (42.2) | 812 (42.3) | 30 (39.0) | 4.1 (3.0–5.5) | |
| No information | 79 (4.0) | 76 (4.0) | 3 (3.9) | 3.8 (0.8–10.7) | |
| Season of case detection | 0.154 | ||||
| Wet | 793 (39.7) | 756 (39.4) | 37 (48.1) | 4.7 (3.3–6.4) | |
| Dry | 1204 (60.3) | 1164 (60.6) | 40 (51.9) | 3.3 (2.4–4.5) | |
| Signs at hospitalization | |||||
| Self-reported fever | 900 (45.1) | 855 (44.5) | 45 (58.4) | 5.0 (3.7–6.6) | 0.019 |
| Difficult breathing | 1150 (57.6) | 1106 (57.6) | 44 (57.1) | 3.8 (2.8–5.1) | 1.000 |
| Measured fever (> 38C) | 75 (3.8) | 70 (3.6) | 5 (6.5) | 6.7 (2.2–14.9) | 0.209 |
| Symptoms at hospitalization | |||||
| Cough | 1808 (90.5) | 1732 (90.2) | 76 (98.7) | 4.2 (3.3–5.2) | 0.008 |
| Sore throat | 101 (5.1) | 97 (5.1) | 4 (5.2) | 4.0 (1.1–9.8) | 0.794 |
| Runny nose | 1104 (55.3) | 1057 (55.1) | 47 (61.0) | 4.3 (3.1–5.6) | 0.350 |
| Reason for hospitalization** | |||||
| Bronchopneumonia | 1207 (60.4) | 1160 (60.4) | 47 (61.0) | 3.9 (2.9–5.1) | 1.000 |
| Pneumonia | 251 (12.6) | 247 (12.9) | 4 (5.2) | 1.6 (0.4–4.0) | 0.052 |
| Bronchitis | 259 (13.0) | 255 (13.3) | 4 (5.2) | 1.5 (0.4–3.9) | 0.037 |
| Other (non-respiratory)*** | 383 (19.2) | 360 (18.8) | 23 (29.9) | 6.0 (3.8–8.9) | 0.025 |
| Previous or currently diagnosed asthma | 558 (27.9) | 535 (27.9) | 23 (29.9) | 4.1 (2.6–6.1) | 0.699 |
| Treatments | |||||
| Antibiotics | 1444 (72.3) | 1387 (72.2) | 57 (74.0) | 3.9 (3.0–5.1) | 0.796 |
| Oxygenation | 239 (12.0) | 227 (11.8) | 12 (15.6) | 5.0 (2.6–8.6) | 0.287 |
| Other (no oxygenation neither antibiotics)**** | 526 (26.3) | 509 (26.5) | 17 (22.1) | 3.2 (1.9–5.1) | 0.431 |
| Outcome | 0.179 | ||||
| Death | 5 (0.3) | 4 (0.2) | 1 (1.3) | 20.0 (0.5–71.6) | |
| Recovered | 1992 (99.7) | 1916 (99.8) | 76 (98.7) | 3.8 (3.0–4.8) |
*M—months; Yr–years.
** Some cases had multiple diagnoses.
*** Malaria, Oral Candidiasis, Anemia, Acute Gastroenteritis, Marasmus, Kwashiorkor, Malnutrition and Congenital Cardiopathy.
**** Mechanical ventilation and admission to the Intensive Care Unit.
The most frequent symptom in children with SARI was a cough (90.5%; 1808/1997), which was significantly more frequent in influenza-positive children as compared influenza negative children (p = 0.008).
Difficulty in breathing was the most frequent sign in children with SARI (57.6%; 1150/1997) and frequency of self-reported fever was significantly higher in influenza-positive children (p = 0.019).
Bronchopneumonia was the main reason for admission among children with SARI (60.4%; 1207/1997) and Bronchitis was significantly less frequent in influenza-positive children (p = 0.025). Other non-respiratory diseases were more frequent in influenza-positive children (p = 0.037). Asthma was a frequent comorbidity and was reported in 27.9% (558/1997) of children with SARI.
A total of five deaths were reported among children younger than 5 years with SARI, and all of them had been admitted with the clinical diagnosis of bronchopneumonia. The median duration of hospitalization was 5 days.
No patient had history or record of the use of influenza vaccine (see S2 File).
Characteristics of influenza positive patients
Of the 77 SARI children with laboratory-confirmed influenza, 23 (29.9%) were aged ≤1 years old, 40 (52.0%) were children aged between 1 and 5 years old and 14 (18.2%) were children aged between 5 and 14 years old (Table 1). The median age of SARI children with laboratory-confirmed influenza was 18.8 months (IQR: 9.8–44.3 months) and 44 (57.1%) were male.
The frequency of influenza positive cases was slightly higher in the dry season as compared to wet season (51.9% vs 48.1%, p = 0,154).
Patients with confirmed influenza had a significantly higher frequency of a cough (98.7% vs 90.2%, p = 0.008) and self-reported fever (58.4% vs. 44.5%, p = 0.019) as compared to influenza negative SARI cases. The frequency of a runny nose and measured fever was slightly higher in patients with confirmed influenza, but this difference did not reach statistical significance. Patients with confirmed influenza had a significantly lower frequency of bronchitis (5.2% vs 13.3%, p = 0.037) There was the trend towards a lower frequency of pneumonia in patients with confirmed influenza (5.2% vs 12.9%, p = 0.052).
The frequency of asthma in influenza-positive participants was similar to that reported in influenza negative participants (0.699).
The majority of SARI children with and without confirmed influenza were treated antibiotic (74.0% in influenza confirmed children vs. 72.2% in influenza negative children, p = 0.796).
There was a heterogeneity in the number of SARI children enrolled in different years, as the numbers of enrolled children in 2014, 2015 and 2016 were 168, 1133 and 697, respectively, which shows that the largest number of SARI children were recruited in 2015 and the lowest in 2014 (see Table 2).
Table 2. Trend in the proportions of influenza positive tests by clinical and demographic characteristics and by year.
| 2014 | 2015 | 2016 | Yearly growth ratio† | p-value | ||||
|---|---|---|---|---|---|---|---|---|
| Characteristic | SARI | Flu positive | SARI | Flu positive | SARI | Flu positive | ||
| N | N (%) | N | N (%) | N | N (%) | |||
| Total | 168 | 7 (4.2) | 1132 | 44 (3.9) | 697 | 26 (3.7) | 0.95 (0.66–1.37) | 0.787 |
| Age in months* | 0.054 | |||||||
| < 6 | 29 | 0 (0.0) | 246 | 6 (2.4) | 160 | 3 (1.9) | 1.10 (0.36–3.33) | |
| 6–11 | 20 | 0 (0.0) | 184 | 7 (3.8) | 127 | 7 (5.5) | 1.72 (0.68–4.34) | |
| 12–23 | 41 | 1 (2.4) | 245 | 14 (5.7) | 158 | 6 (3.8) | 0.94 (0.48–1.84) | |
| 24–59 | 49 | 1 (2.0) | 291 | 10 (3.4) | 153 | 8 (5.2) | 1.56 (0.73–3.29) | |
| 5Yr - 14Yr | 29 | 5 (17.2) | 166 | 7 (4.2) | 99 | 2 (2.0) | 0.31 (0.14–0.69) | |
| Gender** | 0.903 | |||||||
| Male | 92 | 5 (5.4) | 591 | 24 (4.1) | 393 | 15 (3.8) | 0.87 (0.54–1.39) | |
| Female | 71 | 2 (2.8) | 492 | 18 (3.7) | 279 | 10 (3.6) | 1.06 (0.58–1.91) | |
| No information | 5 | 0 (0.0) | 49 | 2 (4.1) | 25 | 1 (4.0) | - | |
| Season of case detection | < 0.003 | |||||||
| Wet | 63 | 6 (9.5) | 463 | 25 (5.4) | 267 | 6 (2.2) | 0.49 (0.29–0.82) | |
| Dry | 105 | 1 (1.0) | 669 | 19 (2.8) | 430 | 20 (4.7) | 1.79 (1.05–3.05) | |
| Signs at hospitalization | ||||||||
| Self-reported fever | 110 | 6 (5.5) | 393 | 18 (4.6) | 397 | 21 (5.3) | 1.46 (0.67–3.19) | 0.582 |
| Difficult breathing | 128 | 2 (1.6) | 691 | 31 (4.5) | 331 | 11 (3.3) | 1.38 (0.66–2.91) | 0.662 |
| Measured fever (> 38C) | 5 | 0 (0.0) | 45 | 3 (6.7) | 25 | 2 (8.0) | 1.62 (0.35–7.63) | 0.799 |
| Symptoms at hospitalization | ||||||||
| Cough | 145 | 7 (4.8) | 994 | 43 (4.3) | 669 | 26 (3.9) | 0.90 (0.02–43.67) | 0.841 |
| Sore throat | 15 | 0 (0.0) | 80 | 4 (5.0) | 6 | 0 (0.0) | 1.65 (0.18–15.23) | 0.874 |
| Runny nose | 66 | 3 (4.5) | 641 | 27 (4.2) | 397 | 17 (4.3) | 0.14 (0.55–2.38) | 0.889 |
| Hospitalization motive** | ||||||||
| Bronchopneumonia | 102 | 1 (1.0) | 644 | 27 (4.2) | 461 | 19 (4.1) | 2.17 (1.01–4.65) | 0.129 |
| Pneumonia | 30 | 1 (3.3) | 143 | 1 (0.7) | 78 | 2 (2.6) | 1.26 (0.25–6.30) | 0.899 |
| Bronchitis | 21 | 0 (0.0) | 145 | 2 (1.4) | 93 | 2 (2.2) | 2.07 (0.35–12.18) | 0.695 |
| Other*** | 33 | 5 (15.2) | 251 | 14 (5.6) | 99 | 4 (4.0) | 0.40 (0.17–0.90) | 0.087 |
| Previous or currently diagnosed asthma | 32 | 1 (3.1) | 339 | 19 (5.6) | 187 | 3 (1.6) | 0.38 (0.16–0.89) | 0.074 |
| Treatments | ||||||||
| Antibiotics | 50 | 2 (4.0) | 728 | 30 (4.1) | 666 | 25 (3.8) | 0.93 (0.59–1.46) | 0.880 |
| Oxygenation | 2 | 0 (0.0) | 134 | 6 (4.5) | 103 | 6 (5.8) | 1.51 (0.48–4.75) | 0.730 |
| Other (no oxygenation neither antibiotics)**** | 117 | 5 (4.3) | 380 | 11 (2.9) | 29 | 1 (3.4) | 0.86 (0.31–2.37) | 0.767 |
| Outcome | ||||||||
| Death | 0 | - | 5 | 1 (20.0) | 0 | - | - | - |
| Recovered | 168 | 7 (4.2) | 1127 | 43 (3.8) | 697 | 24 (3.4) | 0.96 (0.67–1.38) | 0.818 |
*M—months; Yr—years
** Some cases had multiple diagnoses
*** Malaria, Oral Candidiasis, Anemia, Acute Gastroenteritis, Marasmus, Kwashiorkor, Malnutrition and Congenital Cardiopathy
**** Mechanical ventilation and admission to the Intensive Care Unit.
† Yearly growth ratio represents the yearly relative average trend of the proportion of influenza positivity. If > 1 is an increasing, if < 1 is a decreasing trend. The trend is estimated from log-binomial regression with calendar time, the dummy of the characteristic and interaction of calendar time and the dummy indicators. The exponentiated linear combination of the time coefficient and the interaction is the yearly increase. The p-values are the overall significance of the interaction.
Trends and seasonality of influenza between 2014 and 2016
Of the 77 SARI patients with confirmed influenza, 63.6% (49/77) had their CRF completely filled out.
Data from Table 2 shows that although the number of children with SARI who were enrolled in 2014, 2015 and 2016 was heterogeneous, the percentage influenza-positive was similar across the different years [the percentage influenza-positive in 2014, 2015 and 2016 was 4.2% (7/168), 3.9% (44/1132) and 3.7% (26/697), respectively]. Notably, from January 2014 through December 2016 there was a substantial monthly variation in the frequency of influenza virus, reaching up to 60% - 80% during the peaking of cases of influenza (Fig 3).
Fig 3. Monthly variation of influenza virus types and subtypes and positivity rates from January 2014 to December 2016.
Nasopharyngeal and oropharyngeal swabs from children admitted with SARI were tested for Influenza virus using RT-PCR.
Fig 3 also shows that there were seasonal variations in the frequency of influenza virus. The curve of temporal distribution of cases of influenza had a bimodal shape, with two peaks each year, one peak in the rainy season and second peak in the dry season, but the magnitude of each peak was heterogeneous in different years.
No significant difference was observed in the distribution of cases of influenza between 2014 and 2016 for the following variables: age, gender, the season of detection, signs, and symptoms, clinical diagnostic at admission and medical procedure. However, across different years there was a trend towards the higher frequency of influenza in males as compared to female.
Of the 5 deaths among children with SARI, 1.3% (1/78) and 0.3% (4/1913) occurred in influenza-positive and negative children, respectively (see Table 1) and 40% (2/5) were sons of HIV positive mothers (See S2 File).
Influenza type and sub-types
Among all influenza positive cases, 33.7% (26/77), 35.1% (27/77) and 28.6% (22/63) were caused by influenza A/H3N2, A/H1N1pdm09, and B, respectively (S2 File). All subtypes circulated in 2014, 2015 and 2016 (Fig 3), however in 2014 the dominant subtypes were H3 and B, in 2015 were H1 and H3, while in 2016 were H1 and B.
Discussion
Despite the great effort and progress that has been made in recent years to understand the epidemiology of influenza in sub-Saharan Africa, the disease still remains poorly understood in many countries, including Mozambique. In this study we found a frequency of influenza of 3.6% in children admitted to pediatric wards in two hospitals in Maputo city, which is consistent with reports from few other studies conducted in sub-Saharan Africa [26, 27], but lower than that reported in most of studies conducted in the region [10, 28], reinforcing that epidemiology of influenza is highly heterogenetic in different countries.
Notably, the frequency of influenza found in our study was also lower than that reported in two other studies conducted in Manhiça District Hospital, situated in a rural district in southern Mozambique, which found a prevalence of influenza of 15% and 8% in Feb1999-May2000 and Sep2006-Sep2007, respectively [20, 21]. On the other hand, the study conducted by O'Callaghan-Gordo et al enrolled only outpatient children [21], while our enrolled children with severe illness, which can also partially explain the difference because several studies in other countries in the region have shown consistently that prevalence of influenza is higher among outpatient children (non severe) as compared to hospitalized (severe) [11, 29–31].
Regarding the age, the frequency of influenza positive cases was higher in children less than 5 years of age, which is similar to findings reported in other studies[13, 32, 33].
We also compared study groups in terms of signs and symptoms, and data from this study showed that a cough, self-reported fever, measured fever (≥38°C) and difficulty breathing were associated to influenza positivity, corroborating findings from previous studies in other countries [25, 34, 35].
In terms of seasonality of influenza, our data demonstrated that influenza virus occurred throughout the year in Mozambique, and presented a bimodal curve shape with two peaks, one in the dry season and another in the rainy season, being consistent with data from other sub-Saharan Africa countries[10, 16, 18, 36, 37]. This highlights that in Mozambique all effort to prevent influenza, such as vaccination should be considered throughout the year as suggested by others [12, 37].
Deaths occurred in children younger than 5 years old with bronchopneumonia, highlighting that particular attention should be paid to these children. Other authors had shown similar findings [27, 38].
During the revision of clinical files of deceased children we found that HIV results of the children were not available, but two of them were born from HIV seropositive mother, raising serious concern, because the prevalence of HIV in Mozambique is very high (13,5%) [39] and 100,000 children are estimated to be infected with HIV [40, 41]. Indeed, recent studies from South Africa and Malawi, which are close to Mozambique and where the prevalence of HIV is also very high, showed that HIV was significantly associated with progression to severe respiratory illness [32, 42, 43]. However, we acknowledge that this study was not designed to assess the impact of HIV on influenza and for this reason, we recommend that studies to assess this aspect should be urgently conducted in Mozambique.
In this study, we also noted that no difference was found in the frequency of asthma among influenza positive and negative children. However, previous studies have shown a relationship between influenza and asthma exacerbation [44].
Our study is the first to assess the distribution of types and sub-types of influenza circulating in children with SARI in Mozambique and showed that both the seasonal (A/H3N2) and the seasonal (A/H1N1pdm09) are prevalent in Mozambique, but the dominant influenza strain varied in different years. A similar pattern was also seen in other studies conducted in the region [36].
We would like to acknowledge few limitations of our study, such as the fact that not all eligible children who attended these two hospitals during the recruitment period were enrolled, however, to minimize selection bias, each day we recruited the first three eligible children attending these hospitals. Information on the presence of concomitant bacterial infections was not available, and for this reason, is difficult to address properly the high level of consumption of antibiotic noted in this study. Lastly, information about HIV status of each child’s mother was not available for all participants.
Conclusion
Taking together, our results show that influenza virus is prevalent in children with SARI who lives in a large urban/sub urban area in Mozambique, despite that its frequency was lower than that reported in most of the studies conducted in the region. Cases of influenza occurred throughout the year with a bi-modal curve shape and the fatality occurred in children younger than 5 years old. Results of this study will drive national efforts to prevent and improve care to influenza-infected children, such as training of clinicians in order to improve their knowledge on diagnosis and clinical management of potential cases of influenza, vaccination against influenza and use of antivirals in high-risk groups. Expansion of routine SARI surveillance to other regions of the country is also needed for better understanding of geographical differences.
Supporting information
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Acknowledgments
We thank all participants for accepting to participate in this study. We also thank all health professional from Maputo Central Hospital and Mavalane General Hospital who participate in the children’s recruitment. We extend our thanks to all staff from the Virus Isolation Laboratory at National Institute of Health, Maputo, Mozambique.
Data Availability
All relevant data are within the paper and its Supporting Information files. All dataset files are available from the https://dataverse.harvard.edu/privateurl.xhtml?token=20c1b910-9af3-4cfa-97ad-9b2efa22c466 database.
Funding Statement
This work was supported by the Centers for Diseases Control and Prevention (Grant #1U51IP000825-01) https://www.cdc.gov and the World Health Organization, www.who.int. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.WHO. influenza (Seasonal)2016 December 20th, 2016. Available from: http://www.who.int/mediacentre/factsheets/fs211/en/.
- 2.Global Burden of Disease Pediatrics C, Kyu HH, Pinho C, Wagner JA, Brown JC, Bertozzi-Villa A, et al. Global and National Burden of Diseases and Injuries Among Children and Adolescents Between 1990 and 2013: Findings From the Global Burden of Disease 2013 Study. JAMA Pediatr. 2016;170(3):267–87. doi: 10.1001/jamapediatrics.2015.4276 ; PubMed Central PMCID: PMCPMC5076765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mulholland K. Global burden of acute respiratory infections in children: implications for interventions. Pediatr Pulmonol. 2003;36(6):469–74. doi: 10.1002/ppul.10344 . [DOI] [PubMed] [Google Scholar]
- 4.Rudan I, Boschi-Pinto C, Biloglav Z, Mulholland K, Campbell H. Epidemiology and etiology of childhood pneumonia. Bull World Health Organ. 2008;86(5):408–16. doi: 10.2471/BLT.07.048769 ; PubMed Central PMCID: PMCPMC2647437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Williams BG, Gouws E, Boschi-Pinto C, Bryce J, Dye C. Estimates of world-wide distribution of child deaths from acute respiratory infections. Lancet Infect Dis. 2002;2(1):25–32. . [DOI] [PubMed] [Google Scholar]
- 6.Nair H, Brooks WA, Katz M, Roca A, Berkley JA, Madhi SA, et al. Global burden of respiratory infections due to seasonal influenza in young children: a systematic review and meta-analysis. Lancet. 2011;378(9807):1917–30. doi: 10.1016/S0140-6736(11)61051-9 . [DOI] [PubMed] [Google Scholar]
- 7.Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, et al. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study. Lancet. 2017. doi: 10.1016/S0140-6736(17)33293-2 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Heraud JM, Njouom R, Rousset D, Kadjo H, Caro V, Ndiaye MN, et al. Spatiotemporal circulation of influenza viruses in 5 African countries during 2008–2009: a collaborative study of the Institut Pasteur International Network. J Infect Dis. 2012;206 Suppl 1:S5–13. doi: 10.1093/infdis/jis541 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Katz MA, Schoub BD, Heraud JM, Breiman RF, Njenga MK, Widdowson MA. Influenza in Africa: uncovering the epidemiology of a long-overlooked disease. J Infect Dis. 2012;206 Suppl 1:S1–4. doi: 10.1093/infdis/jis548 . [DOI] [PubMed] [Google Scholar]
- 10.Radin JM, Katz MA, Tempia S, Talla Nzussouo N, Davis R, Duque J, et al. Influenza surveillance in 15 countries in Africa, 2006–2010. J Infect Dis. 2012;206 Suppl 1:S14–21. doi: 10.1093/infdis/jis606 . [DOI] [PubMed] [Google Scholar]
- 11.Gessner BD, Shindo N, Briand S. Seasonal influenza epidemiology in sub-Saharan Africa: a systematic review. Lancet Infect Dis. 2011;11(3):223–35. doi: 10.1016/S1473-3099(11)70008-1 . [DOI] [PubMed] [Google Scholar]
- 12.Cohen C, Moyes J, Tempia S, Groome M, Walaza S, Pretorius M, et al. Mortality amongst patients with influenza-associated severe acute respiratory illness, South Africa, 2009–2013. PLoS One. 2015;10(3):e0118884 doi: 10.1371/journal.pone.0118884 ; PubMed Central PMCID: PMCPMC4365037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Emukule GO, Paget J, van der Velden K, Mott JA. Influenza-Associated Disease Burden in Kenya: A Systematic Review of Literature. PLoS One. 2015;10(9):e0138708 doi: 10.1371/journal.pone.0138708 ; PubMed Central PMCID: PMCPMC4580615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Tempia S, Walaza S, Moyes J, Cohen AL, von Mollendorf C, Treurnicht FK, et al. Risk Factors for Influenza-Associated Severe Acute Respiratory Illness Hospitalization in South Africa, 2012–2015. Open Forum Infect Dis. 2017;4(1):ofw262 doi: 10.1093/ofid/ofw262 ; PubMed Central PMCID: PMCPMC5414019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Alonso WJ, Guillebaud J, Viboud C, Razanajatovo NH, Orelle A, Zhou SZ, et al. Influenza seasonality in Madagascar: the mysterious African free-runner. Influenza Other Respir Viruses. 2015;9(3):101–9. doi: 10.1111/irv.12308 ; PubMed Central PMCID: PMCPMC4415694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hirve S, Newman LP, Paget J, Azziz-Baumgartner E, Fitzner J, Bhat N, et al. Influenza Seasonality in the Tropics and Subtropics—When to Vaccinate? PLoS One. 2016;11(4):e0153003 doi: 10.1371/journal.pone.0153003 ; PubMed Central PMCID: PMCPMC4847850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lofgren E, Fefferman NH, Naumov YN, Gorski J, Naumova EN. Influenza seasonality: underlying causes and modeling theories. J Virol. 2007;81(11):5429–36. doi: 10.1128/JVI.01680-06 ; PubMed Central PMCID: PMCPMC1900246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wabwire-Mangen F, Mimbe DE, Erima B, Mworozi EA, Millard M, Kibuuka H, et al. Epidemiology and Surveillance of Influenza Viruses in Uganda between 2008 and 2014. PLoS One. 2016;11(10):e0164861 doi: 10.1371/journal.pone.0164861 ; PubMed Central PMCID: PMCPMC5068740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Tamerius JD, Shaman J, Alonso WJ, Bloom-Feshbach K, Uejio CK, Comrie A, et al. Environmental predictors of seasonal influenza epidemics across temperate and tropical climates. PLoS Pathog. 2013;9(3):e1003194 doi: 10.1371/journal.ppat.1003194 ; PubMed Central PMCID: PMCPMC3591336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.O'Callaghan-Gordo C, Bassat Q, Morais L, Diez-Padrisa N, Machevo S, Nhampossa T, et al. Etiology and epidemiology of viral pneumonia among hospitalized children in rural Mozambique: a malaria endemic area with high prevalence of human immunodeficiency virus. Pediatr Infect Dis J. 2011;30(1):39–44. doi: 10.1097/INF.0b013e3181f232fe . [DOI] [PubMed] [Google Scholar]
- 21.O'Callaghan-Gordo C, Diez-Padrisa N, Abacassamo F, Perez-Brena P, Casas I, Alonso PL, et al. Viral acute respiratory infections among infants visited in a rural hospital of southern Mozambique. Trop Med Int Health. 2011;16(9):1054–60. doi: 10.1111/j.1365-3156.2011.02811.x . [DOI] [PubMed] [Google Scholar]
- 22.Robertson SE, Roca A, Alonso P, Simoes EA, Kartasasmita CB, Olaleye DO, et al. Respiratory syncytial virus infection: denominator-based studies in Indonesia, Mozambique, Nigeria and South Africa. Bull World Health Organ. 2004;82(12):914–22. doi: /S0042-96862004001200007 ; PubMed Central PMCID: PMCPMC2623097. [PMC free article] [PubMed] [Google Scholar]
- 23.Cunguara B FG, Garrett J, Uaiene R, Headey D. Growth without change? A case study of economic transformation in Mozambique. Journal of African Development. 2012. Journal of African Development. 2012;14(2). [Google Scholar]
- 24.INE. Resultados Definitivos do Censo Geral da Populacional e Habitação—2007. INE, 2007. [Google Scholar]
- 25.WHO. WHO surveillance case definitions for ILI and SARI2014 October, 21st, 2017. Available from: http://www.who.int/influenza/surveillance_monitoring/ili_sari_surveillance_case_definition/en/.
- 26.El Kholy AA, Mostafa NA, Ali AA, El-Sherbini SA, Ismail RI, Magdy RI, et al. Risk factors of prolonged hospital stay in children with viral severe acute respiratory infections. J Infect Dev Ctries. 2014;8(10):1285–93. doi: 10.3855/jidc.4682 . [DOI] [PubMed] [Google Scholar]
- 27.Simusika P, Bateman AC, Theo A, Kwenda G, Mfula C, Chentulo E, et al. Identification of viral and bacterial pathogens from hospitalized children with severe acute respiratory illness in Lusaka, Zambia, 2011–2012: a cross-sectional study. BMC Infect Dis. 2015;15:52 doi: 10.1186/s12879-015-0779-1 ; PubMed Central PMCID: PMCPMC4391483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.McMorrow ML, Wemakoy EO, Tshilobo JK, Emukule GO, Mott JA, Njuguna H, et al. Severe Acute Respiratory Illness Deaths in Sub-Saharan Africa and the Role of Influenza: A Case Series From 8 Countries. J Infect Dis. 2015;212(6):853–60. doi: 10.1093/infdis/jiv100 ; PubMed Central PMCID: PMCPMC4826902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mainassara HB, Lagare A, Tempia S, Sidiki A, Issaka B, Abdou Sidikou B, et al. Influenza Sentinel Surveillance among Patients with Influenza-Like-Illness and Severe Acute Respiratory Illness within the Framework of the National Reference Laboratory, Niger, 2009–2013. PLoS One. 2015;10(7):e0133178 doi: 10.1371/journal.pone.0133178 ; PubMed Central PMCID: PMCPMC4521880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pretorius MA, Tempia S, Walaza S, Cohen AL, Moyes J, Variava E, et al. The role of influenza, RSV and other common respiratory viruses in severe acute respiratory infections and influenza-like illness in a population with a high HIV sero-prevalence, South Africa 2012–2015. J Clin Virol. 2016;75:21–6. doi: 10.1016/j.jcv.2015.12.004 ; PubMed Central PMCID: PMCPMC5712432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Theo A, Liwewe M, Ndumba I, Mupila Z, Tambatamba B, Mutemba C, et al. Influenza surveillance in Zambia, 2008–2009. J Infect Dis. 2012;206 Suppl 1:S173–7. doi: 10.1093/infdis/jis599 . [DOI] [PubMed] [Google Scholar]
- 32.Cohen C, Moyes J, Tempia S, Groom M, Walaza S, Pretorius M, et al. Severe influenza-associated respiratory infection in high HIV prevalence setting, South Africa, 2009–2011. Emerg Infect Dis. 2013;19(11):1766–74. doi: 10.3201/eid1911.130546 ; PubMed Central PMCID: PMCPMC3837669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Huai Y, Guan X, Liu S, Uyeki TM, Jiang H, Klena J, et al. Clinical characteristics and factors associated with severe acute respiratory infection and influenza among children in Jingzhou, China. Influenza Other Respir Viruses. 2017;11(2):148–56. doi: 10.1111/irv.12419 ; PubMed Central PMCID: PMCPMC5304575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ma HY, Wu JL, Lu CY, Chen JM, Lee PI, Chang LY, et al. Risk factors associated with severe influenza virus infections in hospitalized children during the 2013 to 2014 season. J Microbiol Immunol Infect. 2016;49(3):387–93. doi: 10.1016/j.jmii.2015.05.015 . [DOI] [PubMed] [Google Scholar]
- 35.Monto AS, Gravenstein S, Elliott M, Colopy M, Schweinle J. Clinical signs and symptoms predicting influenza infection. Arch Intern Med. 2000;160(21):3243–7. . [DOI] [PubMed] [Google Scholar]
- 36.Cummings MJ, Bakamutumaho B, Kayiwa J, Byaruhanga T, Owor N, Namagambo B, et al. Epidemiologic and Spatiotemporal Characterization of Influenza and Severe Acute Respiratory Infection in Uganda, 2010–2015. Ann Am Thorac Soc. 2016;13(12):2159–68. doi: 10.1513/AnnalsATS.201607-561OC ; PubMed Central PMCID: PMCPMC5291500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Peterson I, Bar-Zeev N, Kennedy N, Ho A, Newberry L, SanJoaquin MA, et al. Respiratory Virus-Associated Severe Acute Respiratory Illness and Viral Clustering in Malawian Children in a Setting With a High Prevalence of HIV Infection, Malaria, and Malnutrition. J Infect Dis. 2016;214(11):1700–11. doi: 10.1093/infdis/jiw426 ; PubMed Central PMCID: PMCPMC5341080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Van Kerkhove MD, Vandemaele KA, Shinde V, Jaramillo-Gutierrez G, Koukounari A, Donnelly CA, et al. Risk factors for severe outcomes following 2009 influenza A (H1N1) infection: a global pooled analysis. PLoS Med. 2011;8(7):e1001053 doi: 10.1371/journal.pmed.1001053 ; PubMed Central PMCID: PMCPMC3130021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.INS IaM. Inquérito de Indicadores de Imunização, Malária e HIV/SIDA em Moçambique (IMASIDA 2015). Maputo: INS, 2017. [Google Scholar]
- 40.UNAIDS. AIDSInfo 2015 2015. Available from: http://aidsinfo.unaids.org/.
- 41.Saúde INd, Estatística INd, Macro I. Inquérito Nacional de Prevalência, Riscos Comportamentais e Informação sobre o HIV e SIDA em Moçambique—INSIDA 200. Maputo, Mozambique: 2010.
- 42.Cohen AL, Hellferscee O, Pretorius M, Treurnicht F, Walaza S, Madhi S, et al. Epidemiology of influenza virus types and subtypes in South Africa, 2009–2012. Emerg Infect Dis. 2014;20(7):1162–9. doi: 10.3201/eid2007.131869 ; PubMed Central PMCID: PMCPMC4073865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Ho A, Aston SJ, Jary H, Mitchell T, Alaerts M, Menyere M, et al. Impact of HIV on the burden and severity of influenza illness in Malawian adults: a prospective cohort and parallel case-control study. Clin Infect Dis. 2017. doi: 10.1093/cid/cix903 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Vasileiou E, Sheikh A, Butler C, El Ferkh K, von Wissmann B, McMenamin J, et al. Effectiveness of Influenza Vaccines in Asthma: A Systematic Review and Meta-Analysis. Clin Infect Dis. 2017;65(8):1388–95. doi: 10.1093/cid/cix524 . [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
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Data Availability Statement
All relevant data are within the paper and its Supporting Information files. All dataset files are available from the https://dataverse.harvard.edu/privateurl.xhtml?token=20c1b910-9af3-4cfa-97ad-9b2efa22c466 database.



