Skip to main content
PLOS Global Public Health logoLink to PLOS Global Public Health
. 2025 Jan 6;5(1):e0002980. doi: 10.1371/journal.pgph.0002980

Long-term impact of 10-valent pneumococcal conjugate vaccine among children <5 years, Uganda, 2014–2021

Mercy Wendy Wanyana 1,*, Richard Migisha 1, Patrick King 1, Lilian Bulage 1, Benon Kwesiga 1, Daniel Kadobera 1, Alex Riolexus Ario 1,2, Julie R Harris 3
Editor: Dandara de Oliveira Ramos4
PMCID: PMC11703042  PMID: 39761235

Abstract

Pneumonia is the second leading cause of hospital admissions and deaths among children <5 years in Uganda. In 2014, Uganda officially rolled out the introduction of the pneumococcal conjugate vaccine (PCV) into routine immunization schedule. However, little is known about the long-term impact of PCV on pneumonia admissions and deaths. In this study, we described the trends and spatial distribution of pneumonia hospital admissions and mortality among children <5 years in Uganda, 2014–2021. We analysed secondary data on pneumonia admissions and deaths from the District Health Information System version 2 during 2014–2021. The proportion of pneumonia cases admitted and case-fatality rates (CFRs) for children <5 years were calculated for children <5 years presenting at the outpatient department. At national, regional, and district levels, pneumonia mortality rates were calculated per 100,000 children <5 years. The Mann-Kendall Test was used to assess trend significance. We found 667,122 pneumonia admissions and 11,692 (2%) deaths during 2014–2021. The overall proportion of pneumonia cases admitted among children <5 years was 22%. The overall CFR was 0.39%, and the overall pneumonia mortality rate among children <5 years was 19 deaths per 100,000. From 2014 to 2021, there were declines in the proportion of pneumonia cases admitted (31% to 15%; p = 0.051), mortality rates (24/100,000 to 14 per 100,000; p = 0.019), and CFR (0.57% to 0.24%; p = 0.019), concomitant with increasing PCV coverage. Kotido District had a persistently high proportion of pneumonia cases that were admitted (>30%) every year while Kasese District had persistently high mortality rates (68–150 deaths per 100,000 children <5 years). Pneumonia admissions, mortality, and case fatality among children <5 years declined during 2013–2021 in Uganda after the introduction of PCV. However, with these trends it is unlikely that Uganda will meet the 2025 GAPPD targets. There is need to review implementation of existing interventions and identify gaps in order to highlight priority actions to further accelerate declines.

Background

Pneumonia, a largely preventable disease, persists as a major public health problem among children <5 years. In 2019, pneumonia was the leading infectious cause of death globally among children <5 years old, accounting for 14% of all deaths in this age group [1]. Half of the pneumonia cases and deaths among children <5 years are reported in sub-Saharan Africa [2]. While pneumonia incidence among children <5 years declined globally during 2000 to 2015, the same time period saw a three-fold increase in pneumonia requiring admissions in sub-Saharan Africa [2,3]. In Uganda, pneumonia is the second leading cause of all hospital admissions among children <5 years [4].

To reduce this burden, in 2013 Uganda and other low-income countries committed to implementing the World Health Organization’s integrated Global Action Plan for the Prevention and Control of Pneumonia and Diarrhoea (GAPPD) [5]. This initiative included the introduction of the pneumococcal conjugate vaccine (PCV). This was because most childhood pneumonia is commonly caused by Streptococcus pneumoniae globally [6]. PCV contains serotypes that are commonly associated with invasive and mucosal pneumonia among children <5 years and can reduce both incidence and severity of disease leading to reductions in admissions and mortality [7].

In 2014, Uganda officially rolled out to the 10-valent pneumococcal conjugate vaccine, PCV-10 in the national immunisation schedule [8]. This seemed promising as PCV-10 targets the commonest pneumococcal serotypes documented in Uganda before its introduction (6B,19F, and 23F) as well as serotypes 1, 4, 5, 7F,9V,14, and 18C [9,10]. Three doses of PCV-10 (PCV1, 2, and 3) are given to children at 6, 10, and 14 weeks of age [11]. The introduction of PCV-10 was coupled with other low-cost interventions included in GAPPD namely exclusive breastfeeding for the first six months and continued breastfeeding with appropriate complementary feeding thereafter; use of simple, standardized guidelines for the identification and treatment of pneumonia in the community through integrated community case management of childhood illnesses; and reduction of household air pollution with improved stoves [5]. With these interventions, implemented, Uganda aimed to reduce the incidence of pneumonia requiring admission by 75% in children <5 years from 2013 to 2025 and reduce mortality from pneumonia in children <5 years of age to <3 per 1,000 live births by 2025.

Currently, little is documented on Uganda’s progress towards these goals. Previous studies conducted in Uganda assessed the prevalence of pneumonia at specific timepoints and may not reflect Uganda’s progress over time [12,13]. Additionally, these studies were conducted in sub-regions and may not be generalisable to the entire country or show meaningful spatial differences. We assessed the temporal trends and spatial distribution of pneumonia admissions and mortality among children <5 years in Uganda from 2014–2021 to assess progress towards these goals.

Methods

Study setting

We utilized pneumonia data generated from all health facilities in Uganda. The Uganda health system classifies health facilities into various levels based on their capacities. In Uganda, outpatient pneumonia cases are managed at all levels, while those with pneumonia requiring admission are managed at health centres III and IV, general and regional referral hospitals, and national referral hospitals, all of which have in-patient services [14]. Patients are also referred as needed from lower-level facilities (health centres) to higher-level facilities (hospitals).

Data source

We conducted a descriptive study using routinely-collected pneumonia surveillance data from the District Health Information System version 2 (DHIS2) during January 2014 to December 2021. DHIS2 is an electronic database that was officially adopted in 2012 [15]. It contains data on priority diseases, conditions, and events of public health importance, including pneumonia from 2013 to-date [16]. To ensure data quality within DHIS2,data in physical health registers are routinely compared with summary reports within the electronic system in addition to the in-built quality checks [15]. Aggregate data on pneumonia cases, admissions, and deaths from both outpatient and inpatient monthly reports (Health Management Information System forms [HMIS] 105 and HMIS 108) from 2013–2021 were used for this study.

Study variables, data management, and analysis

We obtained aggregate data on pneumonia cases and admissions among children <5 years to calculate the annual proportion of pneumonia cases admitted. A pneumonia admission was defined as a hospital stay in a person with pneumonia as a primary diagnosis, based on the International Classification of Disease-10 framework. A pneumonia case at the outpatient department was defined as pneumonia as a primary diagnosis based on the International Classification of Disease-10 framework in a patient not requiring a hospital stay. We calculated the proportion of pneumonia cases admitted using pneumonia admissions <5 years as a numerator and total pneumonia cases <5 years presenting at the outpatient department as a denominator. (All admitted patients with pneumonia pass through the outpatient department before admission.) Pneumonia deaths were defined as in-patient deaths with pneumonia recorded as the primary cause of death. We calculated pneumonia mortality using pneumonia deaths among children <5 years as a numerator and estimated annual population data for children <5 years from the Uganda Bureau of Statistics (UBOS) as a denominator. Case-fatality rates (CFRs) were calculated as the proportion of pneumonia cases <5 years at health facilities who died at the facility. Reporting rates for cases and deaths were calculated as the percentage of the expected monthly reports that were submitted to DHIS2 from 2013 to 2021. PCV3 vaccine coverage was calculated as the percentage of the target population who received 3 doses of the PCV-10 in a given year based on data obtained from DHIS2. Although the PCV-10 vaccine was introduced in 2013, official rollout to the entire country started in 2014 [8]. PCV3 vaccine coverage was therefore calculated from 2014 to 2021.

We downloaded data from the DHIS2 platform as in Excel file and imported it into EpiInfo 7 software (CDC, Atlanta, USA) for analysis. Annual proportion of pneumonia cases admitted, mortality rates, and case-fatality rates were calculated at national and regional levels. Line graphs were used to describe national and regional trends. The Mann-Kendall test was conducted to assess trends in annual proportion of pneumonia cases admitted, mortality rates, and case-fatality rates. The Z value > 0 and P < 0.05 indicated an increased trend while the Z value >0 and P < 0.05 represented a decreased trend. Choropleth maps drawn using QGIS software were used to show the spatial distribution of pneumonia admissions and mortality in the country.

Ethical considerations

This study was done to inform public heath practice and therefore determined as non-research and therefore waived of the full institutional review board. The Ministry of Health (MoH) of Uganda through the office of the Director General Health Services gave approval to access data from the national electronic surveillance data base DHIS2. Our study utilized routinely generated aggregated surveillance data with no personal identifiers in health facility in-patient monthly reports through the DHIS2. We stored the abstracted data set in a password-protected computer and only shared it with the investigation team. This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy. §See, e.g., 45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. §241(d); 5 U.S.C. §552a; 44 U.S.C. §3501 et seq.

Results

National trends in the proportion of pneumonia cases admitted among children <5 years with pneumonia in Uganda, 2014–2021

During the study period, reporting rates for both admissions and deaths increased from 82% to 92% (Kendall’s score = 24, p = 0.017). There was a total of 2,535,553 outpatient pneumonia cases and 667,122 admitted pneumonia cases reported among children <5 years. The overall proportion of pneumonia cases <5 years admitted was 22% (range: 15–34%). Overall, there was a 53% decline in the proportion of pneumonia cases admitted over the study period, from 31% to 15% (Kendall’s score = −16, p = 0.051), concurrent with increasing PCV3 vaccine coverage from 60% to 91% (Fig 1A).

Fig 1. A: National trend in proportion of pneumonia cases admitted among children <5 years with pneumonia, Uganda, 2014–2021. B: National trend in pneumonia mortality among children <5 years, Uganda, 2014–2024. C: Trends in pneumonia case fatality rate among <5 years, Uganda, 2014–2021; PCV: Pneumococcal conjugate vaccine.

Fig 1

National trends in pneumonia mortality among children <5 years, Uganda, 2014–2021

During the study period, there were 11,892 pneumonia-related deaths among children <5 years. The overall pneumonia mortality rate was 19 deaths per 100,000 children <5 years. There was a 42% decline in pneumonia mortality rates from 24 to 14 per 100,000 children <5 years (Kendall’s score = −20, p = 0.019) (Fig 1B).

National trends pneumonia case-fatality rate among children <5 years, Uganda, 2014–2021

The overall CFR was 0.39% children <5 years with pneumonia (Range: 0.25–0.69). There was a 58% decline from 0.57% to 0.24% over the evaluation period (Kendall’s score = −20, p = 0.019) (Fig 1C).

Regional trends of pneumonia cases admitted, mortality rate and case fatality rate among children <5 years, Uganda, 2014–2021

Both the proportion of pneumonia cases admitted and pneumonia mortality rates among children <5 years were higher in the Northern Region than in the Western, Eastern, and Central Regions (Table 1). Case-fatality rates were higher in the Central, Northern, and Western regions than in the Eastern Region. Declines in mortality rates were observed over the study period across all regions, while case-fatality rates declined in the Northern and Western regions (Table 1).

Table 1. Regional trends of pneumonia cases admitted, mortality rate, and case fatality rate among children <5 years Uganda, 2014–2021. Kendall’s score and p-value represents the presence or absence of an 8-year linear trend.

Region Proportion of pneumonia cases admitted (%) children <5 years

Case-fatality rate

%

Mortality rate

per 100,000 children <5 years

Annual Mean Kendall’s Score P-value Annual Mean Kendall’s Score P-value Annual Mean Kendall’s Score P-value
Central 14.1 −4 0.70 0.49 −5 0.55 19 18 0.03
Eastern 10.5 −11 0.71 0.33 −11 0.13 15 20 0.05
Northern 28.2 1 0.99 0.49 15 0.04 28 30 0.003
Western 21.4 −5 0.56 0.44 15 0.04 21 26 0.009

Spatial distribution of proportion of pneumonia cases admitted and mortality among children <5 years, Uganda, 2014–2021

Proportion of pneumonia cases among children <5 years that were admitted was generally highest in north-eastern Uganda. Kotido District had consistently high admissions rates of >30% throughout the study period (Fig 2A).

Fig 2. A: Spatial distribution of proportion of pneumonia cases admitted among children <5 years, 2014–2021, Uganda. Map derived from QGIS Desktop 3.34.10, 8 September 2022, Shape file source: Uganda Bureau of Statistics, 2021; URL: https://data.unhcr.org/en/documents/details/83043. B: Spatial distribution of pneumonia mortality rate among children <5 years, 2014–2021, Uganda. Map derived from QGIS Desktop 3.34.10, 8 September 2022, Shape file source: Uganda Bureau of Statistics, 2021; URL: https://data.unhcr.org/en/documents/details/83043.

Fig 2

Kasese District (Fig 2B) had consistently high pneumonia mortality throughout the review period ranging from 68 to 150 deaths per 100,000 children <5 years.

Discussion

We described the trends and spatial distribution of pneumonia hospital admissions, mortality, and case-fatality among children <5 years in Uganda from 2014–2021. Over the 8 years, there was a decline in both the proportion of pneumonia cases that were admitted and deaths concomitant with an increase in PCV3 coverage.

After the official roll-out of PCV-10 in Uganda in 2014, we found a ≥ 40% reduction in pneumonia cases admitted, mortality, and case-fatality rates among children <5 years over the next 8 years. These findings are in agreement with those in other African countries after PCV was introduced: a study in Burkina Faso identified a 34% reduction in pneumonia admissions among children <5 years five years after the introduction of PCV [17], while another in Zambia found a 38% and 29% decline in pneumonia admissions among children aged <1 year and 1–4 years, respectively, three years after introduction of PCV [18]. Studies in South Africa and Rwanda have had similar findings [19,20]. The greater reductions in our study, compared to the others, could be related to the longer period of observation after the introduction of PCV in our study. Declines in admissions and case fatality rates observed in 2015 could also be attributable to the impact of the WHO-recommended admission criteria introduced in 2014 [21]. Before 2014, any child <5 years old with pneumonia (i.e., with fast breathing and/or chest indrawing) was recommended to be admitted. With the revisions in 2014, recommendations for admission were changed to pneumonia plus any danger signs, which would have led to declines in admissions. The revised treatment guidelines promoted outpatient treatment of pneumonia without danger signs with oral amoxicillin. This was a more effective and accessible treatment, and has been linked to a reduction in pneumonia deaths among children [21].

We noted that the largest decline in case-fatality rates occurred from 2015 to 2016. It is unknown why this occurred, but it may be related to the 32% decline in new HIV infections between 2014 and 2015, which represented the largest decline in many years [22]. HIV is a key risk factor for pneumonia deaths among children <5 years linked and is associated with a 4-fold increased risk of pneumonia death [23]. Additional declines in pneumonia case-fatality rates even after 2015 might also reflect improvements in the quality of healthcare during the study period. Integrated community case management introduced at the start of the review period facilitated prompt diagnosis and access to antibiotics at the community level, improving appropriate care-seeking [24]. During the review period, there were also increases in access to electricity (both hydroelectricity and solar), especially at low-level health facilities over time, there is increased access to oxygen therapy thereby improving patient survival thus reducing case-fatality rates [25,26].

The 50% decline in pneumonia admissions over the 9-year period was borderline significant, suggesting a smaller effect of the PCV on pneumonia admissions than on mortality or case-fatality [27]. While PCV reduces the severity and incidence of pneumonia among the strains it targets [28], previous studies have shown that the introduction of PCV can lead to an increase in the proportion of pneumococcal pneumonia due to non-vaccine pneumococcal serotypes [29,30]. It is possible that in Uganda, like other African countries, other serotypes are taking the place of those targeted by PCV. A study in the Gambia indicated a 47% increase in pneumococcal pneumonia due to non-vaccine serotypes 3 years following PCV13 introduction [31]. Similarly, a 27% increase in pneumococcal pneumonia was observed in Botswana following introduction of PCV [32]. However, there are few data available on the current distribution of circulating serotypes in Uganda. The decline suggests that Uganda may be on track to reach the GAPPD target of a 75% reduction in admissions by 2025. Nonetheless, monitoring of trends in the circulating pneumococcal serotypes in the post-PCV era and maintaining other interventions to reduce the burden and impact of childhood pneumonia is important to ensuring that the reductions continue [33].

Regional variations in the proportion of pneumonia cases admitted, pneumonia mortality, and case-fatality rates were observed. The highest proportion of pneumonia cases admitted and mortality were observed in the northern and eastern regions. These regions are characterised with higher levels of poverty and poor housing compared to other areas of the country, which are known to be associated with increased likelihood of pneumonia requiring admission and mortality [34,35]. There is a need to understand the factors associated with high burden of severe pneumonia in these regions to develop targeted interventions.

Our findings should be interpreted with the following limitations. We used inpatient data, which could lead to underestimation of the true pneumonia mortality by missing cases and deaths that occurred in communities. Secondly, we used aggregated secondary data, which lacked key variables to further explore trends across subcategories within this age group. Thirdly, we were unable to make before-and-after PCV-10 comparisons of pneumonia admissions and deaths due to the lack of data before PCV-10 introduction. As a result, we cannot assess the impact of the introduction of PCV-10 on the observed trends of pneumonia admissions and deaths to the interventions. Finally, despite reductions in pneumonia admissions and deaths with increasing PCV-10 coverage, we cannot definitively attribute these reductions to PCV-10. During this time period, other interventions, including exclusive breastfeeding for the first six months and continued breastfeeding with appropriate complementary feeding thereafter, increased access to antibiotics through integrated community case management of childhood illnesses, reduction of household air pollution with improved stoves, and increased access to oxygen therapy were implemented, and these also likely led to reductions.

Conclusion

Our findings demonstrate declines in pneumonia admissions, mortality rates, and case-fatality rates among children <5 years over the 9-year period following the introduction of PCV in Uganda. However, with these trends it is unlikely that Uganda will meet the 2025 targets. Reviewing the implementation of existing interventions and identification of gaps to highlight priority actions could further accelerate decline. We recommend future studies monitoring of trends in the circulating pneumococcal serotypes in the post-PCV.

Acknowledgments

We would like to thank the Ministry of Health for providing access to DHIS2 data that was used for this analysis. We appreciate the technical support provided by the Division of Surveillance, Information and Knowledge Management, MoH. Finally, we thank the US-CDC for supporting the activities of the Uganda Public Health Fellowship Program.

Data Availability

The relevant data belong to the Uganda District Health Information System (Ministry of Health, Republic of Uganda), version 2 database, and are available at https://hmis2.health.go.ug/.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Perin J, Mulick A, Yeung D, Villavicencio F, Lopez G, Strong KL, et al. Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the sustainable development goals. Lancet Child Adolesc Health. 2022;6(2):106–15. doi: 10.1016/S2352-4642(21)00311-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Troeger CE, Khalil IA, Blacker BF, Biehl MH, Albertson SB, Zimsen SRM, et al. Quantifying risks and interventions that have affected the burden of lower respiratory infections among children younger than 5 years: an analysis for the global burden of disease study 2017. Lancet Infect Dis. 2020;20(1):60–79. doi: 10.1016/S1473-3099(19)30410-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.McAllister DA, Liu L, Shi T, Chu Y, Reed C, Burrows J, et al. Global, regional, and national estimates of pneumonia morbidity and mortality in children younger than 5 years between 2000 and 2015: a systematic analysis. Lancet Glob Health. 2019;7(1):e47–57. doi: 10.1016/S2214-109X(18)30408-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.MoH M of HU. Ministry of health annual sector performance report 2020/2021. Kampala, Uganda; 2021. [Google Scholar]
  • 5.World Health Organization (WHO). Ending preventable child deaths from pneumonia and diarrhoea by 2025: the integrated global action plan for pneumonia and diarrhoea (GAPPD); 2013. [DOI] [PubMed] [Google Scholar]
  • 6.O’Brien KL, Wolfson LJ, Watt JP, Henkle E, Deloria-Knoll M, McCall N, et al. Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates. Lancet. 2009;374(9693):893–902. doi: 10.1016/S0140-6736(09)61204-6 [DOI] [PubMed] [Google Scholar]
  • 7.Hausdorff WP, Bryant J, Paradiso PR, Siber GR. Which pneumococcal serogroups cause the most invasive disease: implications for conjugate vaccine formulation and use, part I. Clin Infect Dis. 2000;30(1):100–21. doi: 10.1086/313608 [DOI] [PubMed] [Google Scholar]
  • 8.World Health Organisation (WHO). Uganda rolls out the Pneumococcal Conjugate Vaccine (PCV); 2014. [cited 2023 Dec 02]. Available from: https://www.afro.who.int/news/uganda-rolls-out-pneumococcal-conjugate-vaccine-pcv [Google Scholar]
  • 9.Lindstrand A, Kalyango J, Alfvén T, Darenberg J, Kadobera D, Bwanga F, et al. Pneumococcal carriage in children under five years in Uganda-will present pneumococcal conjugate vaccines be appropriate? PLoS One. 2016;11(11):e0166018. doi: 10.1371/journal.pone.0166018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Nackers F, Cohuet S, le Polain de Waroux O, Langendorf C, Nyehangane D, Ndazima D, et al. Carriage prevalence and serotype distribution of Streptococcus pneumoniae prior to 10-valent pneumococcal vaccine introduction: a population-based cross-sectional study in South Western Uganda, 2014. Vaccine. 2017;35(39):5271–7. doi: 10.1016/j.vaccine.2017.07.081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Minstry of Health Uganda (MoH). Routine immunisation question and answer booklet. Kampala, Uganda; 2013. [Google Scholar]
  • 12.Kiconco G, Turyasiima M, Ndamira A, Yamile OA, Egesa WI, Ndiwimana M, et al. Prevalence and associated factors of pneumonia among under-fives with acute respiratory symptoms: a cross sectional study at a teaching hospital in Bushenyi District, Western Uganda. Afr Health Sci. 2021;21(4):1701–10. doi: 10.4314/ahs.v21i4.25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ma C, Gunaratnam LC, Ericson A, Conroy AL, Namasopo S, Opoka RO, et al. Handheld point-of-care lactate measurement at admission predicts mortality in Ugandan children hospitalized with pneumonia: a prospective cohort study. Am J Trop Med Hyg. 2019;100(1):37–42. doi: 10.4269/ajtmh.18-0344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Institute for Health Metrics and Evaluation (IHE). Assessing facility capacity, costs of care, and patient perspectives. Seattle; 2015. [Google Scholar]
  • 15.Kiberu VM, Matovu JKB, Makumbi F, Kyozira C, Mukooyo E, Wanyenze RK. Strengthening district-based health reporting through the district health management information software system: the Ugandan experience. BMC Med Inform Decis Mak. 2014;14:40. doi: 10.1186/1472-6947-14-40 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Minstry of Health Uganda (MoH). National technical guidelines for integrated disease surveillance and response. 3rd ed.; 2021. [Google Scholar]
  • 17.Kaboré L, Ouattara S, Sawadogo F, Gervaix A, Galetto-Lacour A, Karama R, et al. Impact of 13-valent pneumococcal conjugate vaccine on the incidence of hospitalizations for all-cause pneumonia among children aged less than 5 years in Burkina Faso: an interrupted time-series analysis. Int J Infect Dis. 2020;96:31–8. doi: 10.1016/j.ijid.2020.03.051 [DOI] [PubMed] [Google Scholar]
  • 18.Mpabalwani EM, Lukwesa-Musyani C, Imamba A, Nakazwe R, Matapo B, Muzongwe CM, et al. Declines in pneumonia and meningitis hospitalizations in children under 5 years of age after introduction of 10-valent pneumococcal conjugate vaccine in Zambia, 2010-2016. Clin Infect Dis. 2019;69(Suppl 2):S58–65. doi: 10.1093/cid/ciz456 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kleynhans J, Tempia S, Shioda K, von Gottberg A, Weinberger DM, Cohen C. Estimated impact of the pneumococcal conjugate vaccine on pneumonia mortality in South Africa, 1999 through 2016: an ecological modelling study. PLoS Med. 2021;18(2):e1003537. doi: 10.1371/journal.pmed.1003537 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Rurangwa J, Rujeni N. Decline in child hospitalization and mortality after the introduction of the 7-valent pneumococcal conjugative vaccine in Rwanda. Am J Trop Med Hyg. 2016;95(3):680–2. doi: 10.4269/ajtmh.15-0923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.World Health Organisation (WHO). Revised who classification and treatment of childhood pneumonia at health facilities, 2014. Geneva: WHO; 2021. [Google Scholar]
  • 22.Uganda AIDS Commission. The Uganda HIV and AIDS country progress report July 2015-June 2016. Kampala: Uganda AIDS Commission; 2016. [Google Scholar]
  • 23.Wilkes C, Bava M, Graham HR, Duke T. What are the risk factors for death among children with pneumonia in low- and middle-income countries? A systematic review. J Glob Health. 2023;13:05003. doi: 10.7189/jogh.13.05003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kalyango JN, Alfven T, Peterson S, Mugenyi K, Karamagi C, Rutebemberwa E. Integrated community case management of malaria and pneumonia increases prompt and appropriate treatment for pneumonia symptoms in children under five years in Eastern Uganda. Malar J. 2013;12:340. doi: 10.1186/1475-2875-12-340 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Khogali A, Ahmed A, Ibrahim M, Karrar K, Elsheikh M, Abdelraheem E, et al. Building powerful health systems: the impacts of electrification on health outcomes in LMICs. Psychol Health Med. 2022;27(Suppl 1):124–37. doi: 10.1080/13548506.2022.2109049 [DOI] [PubMed] [Google Scholar]
  • 26.Turnbull H, Conroy A, Opoka RO, Namasopo S, Kain KC, Hawkes M. Solar-powered oxygen delivery: proof of concept. Int J Tuberc Lung Dis. 2016;20(5):696–703. doi: 10.5588/ijtld.15.0796 [DOI] [PubMed] [Google Scholar]
  • 27.Hackshaw A, Kirkwood A. Interpreting and reporting clinical trials with results of borderline significance. BMJ. 2011;343:d3340. doi: 10.1136/bmj.d3340 [DOI] [PubMed] [Google Scholar]
  • 28.Reyburn R, Tsatsaronis A, von Mollendorf C, Mulholland K, Russell FM. Systematic review on the impact of the pneumococcal conjugate vaccine ten valent (PCV10) or thirteen valent (PCV13) on all-cause, radiologically confirmed and severe pneumonia hospitalisation rates and pneumonia mortality in children 0-9 years old. J Glob Health. 2023;13:05002. doi: 10.7189/jogh.13.05002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Masomian M, Ahmad Z, Gew LT, Poh CL. Development of next generation streptococcus pneumoniae vaccines conferring broad protection. Vaccines (Basel). 2020;8(1):132. doi: 10.3390/vaccines8010132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ali MA, Okojokwu OJ, Adiekwuo RC, Robinson JW. Prevalence and serotypes of Streptococcus pneumoniae among under five children attending Toro general hospital, Bauchi State, Nigeria. Microbes Infect Dis. 2023;4:468–476. doi: 10.21608/mid.2022.133445.1302 [DOI] [Google Scholar]
  • 31.Mackenzie GA, Hill PC, Jeffries DJ, Hossain I, Uchendu U, Ameh D, et al. Effect of the introduction of pneumococcal conjugate vaccination on invasive pneumococcal disease in The Gambia: a population-based surveillance study. Lancet Infect Dis. 2016;16(6):703–11. doi: 10.1016/S1473-3099(16)00054-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Patel SM, Shaik-Dasthagirisaheb YB, Congdon M, Young RR, Patel MZ, Mazhani T, et al. Evolution of pneumococcal serotype epidemiology in Botswana following introduction of 13-valent pneumococcal conjugate vaccine. PLoS One. 2022;17(1):e0262225. doi: 10.1371/journal.pone.0262225 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Du Q, Shi W, Yu D, Yao K. Epidemiology of non-vaccine serotypes of Streptococcus pneumoniae before and after universal administration of pneumococcal conjugate vaccines. Hum Vaccin Immunother. 2021;17(12):5628–37. doi: 10.1080/21645515.2021.1985353 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Atamanov A, Malasquez Carbonel EA, Masaki T, Myers CA, Granguillhome Ochoa R, Sinha N. Uganda poverty assessment: strengthening resilience to accelerate poverty reduction. Uganda: World Bank; 2022. [Google Scholar]
  • 35.Azab SFAH, Sherief LM, Saleh SH, Elsaeed WF, Elshafie MA, Abdelsalam SM. Impact of the socioeconomic status on the severity and outcome of community-acquired pneumonia among Egyptian children: a cohort study. Infect Dis Poverty. 2014;3:14. doi: 10.1186/2049-9957-3-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
PLOS Glob Public Health. doi: 10.1371/journal.pgph.0002980.r001

Decision Letter 0

Dandara de Oliveira Ramos

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

8 Jul 2024

PGPH-D-24-00245

Trends and spatial distribution of pneumonia admissions and deaths among children <5 years, Uganda, 2013–2021

PLOS Global Public Health

Dear Dr. Wanyana,

Thank you for submitting your manuscript to PLOS Global Public Health. After careful consideration, we feel that it has merit but does not fully meet PLOS Global Public Health’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by September 3, 2024. If you need more time than this to complete your revisions, please reply to this message or contact the journal office at globalpubhealth@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pgph/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

We look forward to receiving your revised manuscript.

Kind regards,

Dandara de Oliveira Ramos, PhD

Academic Editor

PLOS Global Public Health

Journal Requirements:

1. Please provide separate figure files in .tif or .eps format.

For more information about figure files please see our guidelines:  LINK 

https://journals.plos.org/globalpublichealth/s/figures 

https://journals.plos.org/globalpublichealth/s/figures#loc-file-requirements 

2. Figure 5: please (a) provide a direct link to the base layer of the map (i.e., the country or region border shape) and ensure this is also included in the figure legend; and (b) provide a link to the terms of use / license information for the base layer image or shapefile. We cannot publish proprietary or copyrighted maps (e.g. Google Maps, Mapquest) and the terms of use for your map base layer must be compatible with our CC-BY 4.0 license. 

Note: if you created the map in a software program like R or ArcGIS, please locate and indicate the source of the basemap shapefile onto which data has been plotted.

If your map was obtained from a copyrighted source please amend the figure so that the base map used is from an openly available source. Alternatively, please provide explicit written permission from the copyright holder granting you the right to publish the material under our CC-BY 4.0 license.

Please note that the following CC BY licenses are compatible with PLOS license: CC BY 4.0, CC BY 2.0 and CC BY 3.0, meanwhile such licenses as CC BY-ND 3.0 and others are not compatible due to additional restrictions. 

If you are unsure whether you can use a map or not, please do reach out and we will be able to help you. The following websites are good examples of where you can source open access or public domain maps: 

* U.S. Geological Survey (USGS) - All maps are in the public domain. (http://www.usgs.gov

* PlaniGlobe - All maps are published under a Creative Commons license so please cite “PlaniGlobe, http://www.planiglobe.com, CC BY 2.0” in the image credit after the caption. (http://www.planiglobe.com/?lang=enl

* Natural Earth - All maps are public domain. (http://www.naturalearthdata.com/about/terms-of-use/)

Additional Editor Comments (if provided):

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Does this manuscript meet PLOS Global Public Health’s publication criteria ? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Global Public Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Background:

Clarity and Focus: Streamline the background to emphasize the study's aims and its relevance to PCV10 and pneumonia outcomes among children under 5 in Uganda.

Scope and Context: Focus on the relationship between therapies like PCV10 and the study's objectives, particularly regarding pneumonia admissions and mortality.

Structure and Flow: Organize the background to logically flow from global concerns to the specific context of Uganda.

Methodology:

Data Quality: Provide more details on data quality and reliability from DHIS2 to bolster credibility.

Methodological Clarity: Offer clearer explanations of data extraction, verification, and analytical methods.

Geographical Coverage: Clearly distinguish between national and regional data to avoid confusion.

Data Analysis: Clarify the statistical methods used, including significance thresholds.

Ethical Considerations: Ensure the ethical considerations are thorough and highlight data protection measures.

Results:

Context: Offer context on possible confounding factors affecting trends.

Maps: Ensure visual data (e.g., maps) is clear and easy to interpret.

Statistical Analysis: Clarify statistical methods and their interpretation for better comprehension.

Discussion:

Clarification: Further clarify the impact of specific interventions on the observed trends.

Comparative Analysis: Directly compare findings with other African countries to highlight differences and similarities.

Regional Differences: Explore reasons for regional variations in pneumonia outcomes, providing hypotheses for further research.

Limitations: Present limitations succinctly and address potential biases or areas for improvement.

Further Recommendations: Suggest additional research avenues or data collection methods for deeper insight.

By incorporating these suggestions, the study can enhance its clarity, robustness, and overall contribution to understanding pneumonia outcomes in Uganda.

Reviewer #2: The study is robust, relevant and contributes to the body of scientific evidence. The authors studied the long term impact of PCV10 among under five children in Uganda using a national surveillance secondary data.

Comments

The title does not fully project the findings and significance of the study. Indeed a search for the purpose of systematic review regarding PCV impact could easily miss this paper when published.

I would suggest you re-craft the title to show at a glance that this paper is aimed at evaluating the long term impact impact of PCV10 among Ugandan under five children.

The authors mentioned ages for PCV vaccination as 6, 10 and 12 weeks; is this correct or did they mean 6, 10 and 14 weeks? Doses are given at least weeks apart or is Uganda giving third dose after 2 weeks?

The authors noted that the official rollout of PCV10 was in 2014, would it not be better to align analysis and title to 2014 instead of 2013 for uniformity?

Line 131 - "Although the PCV10 vaccine was introduced in 2013, official rollout to the entire country started in 201417. PCV 3 vaccine coverage was therefore calculated from 2014 to 2021." Everything should be calculated from 2014.

It is unclear if authors are assessing 2013-2021 or 2014-2021. When they say 9years, the period is not clear as the months in 2013/2014 and 2021 included in the study are unclear.

I suggest mentioning the months and limiting the entire analysis to 2014-2021, rather analysing coverage from 2014 and other analyses from 2013, and possibly reflecting this on the title.

The authors did not say anything about indirect effects. Would have been interesting to measure indirect effects on older age groups? This further amplifies the impact of PCV10 as has been documented elsewhere.

Discussion

Lines 205-207 - Generally good discussion on possible confounders especially of revised WHO admission guidelines, but many impact studies have shown positive results and Uganda may not be an exception especially with the high vaccination coverage and national data.

Line 226-235 - Were the cited studies on Vaccine strain replacement in u5 or adults?

There is need for further studies on serotypes and trends in older children and adults in Uganda.

Figures

Merge figs 1-3 as 1a-c

Merge figs 4-5 as fig 2a-b

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean? ). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review? If you choose “no”, your identity will remain anonymous but your review may still be made public.

For information about this choice, including consent withdrawal, please see our Privacy Policy .

Reviewer #1: Yes:  Sarashwati Giri

Reviewer #2: Yes:  Beckie Nnenna Tagbo

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Attachment

Submitted filename: review-Sarashwati Giri-Uganda study.docx

pgph.0002980.s001.docx (22.2KB, docx)
PLOS Glob Public Health. doi: 10.1371/journal.pgph.0002980.r003

Decision Letter 1

Dandara de Oliveira Ramos

14 Nov 2024

Long-term impact of 10-valent pneumococcal conjugate vaccine among children <5 years, Uganda, 2014–2021.

PGPH-D-24-00245R1

Dear Dr. Wanyana,

We are pleased to inform you that your manuscript 'Long-term impact of 10-valent pneumococcal conjugate vaccine among children <5 years, Uganda, 2014–2021.' has been provisionally accepted for publication in PLOS Global Public Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they'll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact globalpubhealth@plos.org.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Dandara de Oliveira Ramos, PhD

Academic Editor

PLOS Global Public Health

***********************************************************

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Does this manuscript meet PLOS Global Public Health’s publication criteria ? Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe methodologically and ethically rigorous research with conclusions that are appropriately drawn based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available (please refer to the Data Availability Statement at the start of the manuscript PDF file)?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS Global Public Health does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: addressed all the comments

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean? ). If published, this will include your full peer review and any attached files.

Do you want your identity to be public for this peer review? If you choose “no”, your identity will remain anonymous but your review may still be made public.

For information about this choice, including consent withdrawal, please see our Privacy Policy .

Reviewer #1: Yes:  Sarashwati Giri

**********

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: review-Sarashwati Giri-Uganda study.docx

    pgph.0002980.s001.docx (22.2KB, docx)
    Attachment

    Submitted filename: Reviewer Comments.docx

    pgph.0002980.s002.docx (19.8KB, docx)

    Data Availability Statement

    The relevant data belong to the Uganda District Health Information System (Ministry of Health, Republic of Uganda), version 2 database, and are available at https://hmis2.health.go.ug/.


    Articles from PLOS Global Public Health are provided here courtesy of PLOS

    RESOURCES