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Research Paper

Non-specific effects of childhood vaccines on acute childhood morbidity among HIV-exposed children in sub-Saharan Africa: a multilevel analysis

ORCID Icon, ORCID Icon & ORCID Icon
Pages 2382-2390 | Received 11 Apr 2018, Accepted 22 Aug 2018, Published online: 27 Sep 2018

ABSTRACT

We examined the roles of determining factors responsible for acute respiratory infections and diarrhoea among immunised human immunodeficiency virus (HIV)-exposed children in sub-Saharan Africa. This study used demographic and health surveys obtained from 27 sub-Saharan African countries. The outcome variable is defined as symptoms of acute respiratory infections or episode of diarrhoea in the child of an HIV-infected mother who is vaccinated with the third dose of diphtheria-tetanus-pertussis containing vaccines. Multivariable logistic regression models were used to analyse the association between individual and contextual factors. The odds of developing symptoms of acute respiratory infections increased among those living in communities with high unemployment rate (Odds ratio = 1.15, 95% credible interval 1.05 to 1.26). The odds of developing diarrhoea increased among young mothers such that children of women aged 15–24 years were two times likely to develop diarrhoea compared to children of women aged 35–49 years (Odds ratio = 2.22, 95% credible interval 1.66 to 2.93). Public healthcare programmes should target adolescent and young women, and their family members on how to prevent diarrhoea. Efforts should be made to identify the hotspots for development of acute respiratory diseases especially in communities with high rate of unemployment and to develop strategies to combat the diseases in such communities. Initiatives such as the integrated Global Action Plan for the Prevention and Control of Pneumonia and Diarrhoea which recommends an interrelated approach for the elimination of preventable diarrhoea and pneumonia deaths should be adopted.

This article is part of the following collections:
Vaccination in Africa

Background

Acute diarrhoea disease and pneumonia are major causes of morbidity and mortality among children especially among the human immunodeficiency virus (HIV)-exposed and infected ones.Citation1 Acute respiratory infections and diarrhoeal diseases are mostly caused by vaccine-preventable diseases and these diseases are avoidable particularly if children are properly immunised.Citation1,Citation2 In addition to diarrhoea and pneumonia, HIV still contributes substantially to children mortality especially in Africa and South East Asia which incidentally are regions with high burden of HIV.Citation3,Citation4

Figure 1. Conceptual framework showing the factors determining episodes of diarrhoea or symptoms of acute respiratory infections among HIV-exposed children vaccinated with DTP3 vaccines.

Figure 1. Conceptual framework showing the factors determining episodes of diarrhoea or symptoms of acute respiratory infections among HIV-exposed children vaccinated with DTP3 vaccines.

Immunisation programmes has proven to be a successful and cost-effective global public health interventions.Citation5,Citation6 Expanded Program on Immunization (EPI) has led to considerable decline in the morbidity and mortality attributed to vaccine-preventable diseases.Citation7 Global Alliance for Vaccines and Immunisation (GAVI) initiatives has been recording reduction in childhood morbidity and mortality secondary to vaccine-preventable diseases among supported countries primarily as a result of vaccines use.Citation2 More diseases and deaths could still be averted if there is an improvement in the global vaccination coverage.Citation2 Africa accounts for a substantial proportion of the global vaccine-preventable diseases burden and for the highest proportion of under-five years of age mortality from these diseases.Citation8,Citation9 Meanwhile, only 74% of the World Health Organization (WHO) African member states achieved ≥ 90% national coverage for the three doses of diphtheria-tetanus-pertussis vaccines (DTP3) as at 2016.Citation10

Understanding the association between HIV status, uptake of childhood vaccination, acute respiratory infections and diarrhoeal diseases is of great importance in countries with high HIV prevalence especially in sub-Saharan African region. Despite the high prevalence of HIV in many African countries, HIV testing is still not optimal. The knowledge of status among all people living with HIV ranged between 29–87%. There is lack of information on socio-economic factors such as employment status, education status, mother’s age, wealth index and residence which are the likely determinants of morbidities like acute respiratory infections, diarrhoeal diseases, fever etc. among the immunised children of HIV-positive mothers. Adequate knowledge of these determining factors is very crucial in making recommendations concerning public health interventions for prevention of acute respiratory infections and diarrhoeal diseases among immunised and HIV exposed children.

DTP3 is a key indicator used by international and national organisations such as United Nations Children’s Fund (UNICEF) and WHO for assessing the effectiveness of childhood immunisation services.Citation11 The series of immunisations known as DTP can prevent diphtheria, pertussis (whooping cough) and tetanus, but these three diseases still kill 600,000 children and afflict millions of others every year in developing countries. The percentage of children receiving the final dose (DTP3) is therefore a revealing and vital gauge of how well countries are providing immunisation coverage for their children.Citation11 To be fully protected, DTP-containing vaccines are normally given in three doses at the age of 6, 10 and 14 weeks with three booster doses at 12–23 months, 4–7 years and 9–15 years. Diphtheria toxoid-containing vaccines are given to the older children as booster vaccine.Citation12

We examined the roles of the socio-economic factors in relation to uptake of DTP3 vaccines among HIV-exposed children. A multilevel study was designed to assess the independent contributions of individual, community, and country-level socio-economic factors. We also developed and tested model for the determinants as they relate to non-uptake of DTP3 vaccines among HIV-exposed children ().

Results

Sample characteristics

The country surveys were conducted between 2003 and 2016 in the included countries (). Adult literacy rate in the included countries ranged from 15.5% in Niger to 90.1% in Sao Tome and Principe. The health expenditure per capita ranged from US$19.1 in Niger to US$321.3 in Gabon. Gross domestic product (GDP) per capita data shows that Gabon and Namibia are the upper middle-income countries while eight other countries namely; Angola, Cameroun, Cote d’Ivoire, Ghana, Kenya, Senegal, Swaziland and Zambia are lower middle-income countries and the rest are low-income countries.

Table 1. Year of DHS survey and country level characteristics of 27 study countries in sub-Saharan Africa.

shows the summary of symptoms of acute respiratory infections and episodes of diarrhoea among the children of HIV-positive mothers vaccinated with DTP3 at different levels in this study. For the summary of symptoms of acute respiratory infections, a total of 1,482 children aged 12–23 months (Level 1), within 1076 communities (Level 2), from 26 countries (Level 3) in sub-Saharan Africa were included. For the episodes of diarrhoea, a total of 4,027 children aged 12–23 months (Level 1), within 2267 communities (Level 2), from 27 countries (Level 3) in sub-Saharan Africa. Male and female children of HIV-infected women were evenly distributed. An estimated half of the included mothers were aged between 25 and 34 years, about three-fifth were not employed and two-fifth were in the richer wealth index group. Most of the respondents were living in rural areas, within low poverty rate and low illiteracy rate group.

Table 2. Summary of symptoms of acute respiratory infections and episodes of diarrhoea among the children of HIV-positive mothers with DTP3 uptake at different levels.

Acute respiratory infections

Measures of associations (fixed effects)

shows the multilevel multivariate logistics regression models of the factors associated with symptoms of acute respiratory infections by children of HIV-infected women. At the community-level, the odds of developing symptoms of acute respiratory infections increased among those living in communities with high unemployment rate such that the children were 15% more likely to develop acute respiratory infections (odds ratio [OR] = 1.15, 95% credible interval [CrI] 1.05 to 1.26).

Table 3. Factors associated with symptoms of acute respiratory infections by children of HIV-infected women identified by multilevel multivariate logistics regression models.

Measures of variations (random effects)

In model 1 (unconditional model), there was a significant variation in the odds of developing symptoms of acute respiratory infections among the children of HIV-infected mothers across the countries (σ2 = 0.763, 95% CrI 0.359 to 1.514) and across the communities (σ2 = 0.002, 95% CrI 0.001 – 0.006) (as shown in ). The intra-country and intra-community correlation coefficients show that 18.81% and 18.85% of the variance in odds of developing symptoms of acute respiratory infections are linked to country- and community-level factors respectively. From the full model (Model 5), it is assumed that a child who moved to another country or community with a higher probability of developing symptoms of acute respiratory infections, the median increase in the odds of developing symptoms of acute respiratory infections would be 20.92% and 21.00% respectively.

Episodes of diarrhoea

Measures of associations (fixed effects)

shows the multilevel multivariate logistics regression models of the factors associated with episodes of diarrhoea by children of HIV-infected women. At the individual level, the odds of developing diarrhoea increased among young mothers such that children of women aged 15–24 years were two times likely to develop diarrhoea compared to children of women aged 35–49 years (OR = 2.22, 95% Crl 1.66 to 2.93).

Table 4. Factors associated with episodes of diarrhoea by children of HIV-infected women identified by multilevel multivariate logistics regression models.

Measures of variations (random effects)

In model 1, there was a significant variation in the odds of developing diarrhoea among the children of HIV-infected mothers across the countries (σ2 = 0.223, 95% CrI 0.058 to 0.532) and across the communities (σ2 = 0.744, 95% CrI 0.302– 1.273) (as shown in ). The intra-country and intra-community correlation coefficients show that 5.23% and 22.71% of the variance in odds of developing diarrhoea are linked to country- and community-level factors respectively. The variance in odds of not developing diarrhoea were also attributable to the country- and community-level factors respectively. From the full model (Model 5), it is assumed that a child who moved to another country or community with a higher probability of developing diarrhoea, the median increase in the odds of developing diarrhoea would be 5.63% and 26.73% respectively.

Discussion

Main findings

This study shows that the individual, community and country contexts are significant in explaining the variations in acute respiratory infections and diarrhoea among the children of HIV-infected mothers in the selected sub-Saharan African countries. Developing symptoms of acute respiratory infections is more likely in the children of HIV-infected women who live in communities with high unemployment rate. Our findings show that children of young HIV-infected women are more likely to develop diarrhoea than the children of older women in sub-Saharan African countries.

Communities with high unemployment rates have the characteristics of poor neighbourhood such as poor housing, limited access to public services like healthcare, transportation etc.Citation13 High unemployment communities are linked with lower socioeconomic status and are characterised by crowded rooms, poor nutrition, poor sanitation and hygienic conditions.Citation14 Women living with HIV in these communities more or less belong to the lower socioeconomic status.Citation15 Deprived neighbourhoods with high unemployment rate are associated with increased risk of mortality.Citation16 Cohen also shows that unemployment status is strongly associated with increased susceptibility to acute respiratory infection in humans due to reduction in resistance to infection and increased exposure to infectious agents.Citation14 There is also a strong correlation between parental unemployment and children’s poor health outcome.Citation17

A multinational research in developing countries located in Africa, Americas, Asia and the Pacific shows the prevalence of acute respiratory infections among both HIV-infected and HIV-uninfected children to be 13%. The study also shows that factors like living in high-risk indoor environment, male gender, employed mothers and low birthweight were positively associated with acute respiratory infections. Planned pregnancy, maternal education, older maternal age, breastfeeding for more than 6 months, and immunisation were associated with reduction in respiratory infections.Citation18

Younger mothers are not as experienced as older women and are mostly learning to care for their first child.Citation19 The first child of adolescent and young mothers are most susceptible to both poor health outcomes and mortality.Citation19 The children of first time young mothers are at higher risk of developing diarrhoea, stunting and anaemia.Citation19 A multinational study on acute diarrhoea in developing countries among both immunised and non-immunised children shows that country inequalities, maternal illiteracy and unemployment were greatly associated with diarrhoea.Citation20 Female children, normal birthweight, older children, complete immunisation coverage, advanced maternal age, planned pregnancy, good sanitation and rich household were associated with reduction in episodes of diarrhoea.Citation20

Furthermore, the findings from the multinational studies.Citation18,Citation20 involved children that were both immunised and unimmunised. The study participants were both HIV-exposed and non-exposed children. The multinational studies show association with many factors while this multilevel analytic research included only HIV-exposed children who were vaccinated with DTP3 and shows few associations.

Consistent, equitable availability and access to vaccination especially among the most vulnerable and poorest communities is essential in addressing non-uptake of basic vaccines in HIV-exposed children. Integrated Global Action Plan for the Prevention and Control of Pneumonia and Diarrhoea (GAPPD) which recommends an interrelated approach for the elimination of preventable diarrhea and pneumonia deaths has vaccination as one of the key interventions.Citation21 GAPPD brings together essential services and interventions such as promotion of practices that can protect children from these respiratory and diarrhoeal diseases and make sure that every child has access to suitable preventive measures and proper treatment.Citation21

Strengths and limitations

The use of DHS gives this study a good quality and representation because the surveys were done in different regions of the included countries. However, this study has certain significant limitations. Firstly, the surveys were not conducted concurrently and within the same time frame in each of the countries. Social conditions do change and expected to change over time in these countries. The surveys were conducted in different countries over a time space of a decade and this may have some effect on the study findings. Secondly, DHS methodology being cross-sectional in nature, it does not give room for establishing causality. Haemophilus Influenzae type b (Hib) vaccine and rotavirus vaccine coverage as at 2016 were 74% and 43% among the African countries. Pneumococcal vaccine global coverage was estimated at 42% in 2016.Citation22 The use of pneumococcal and rotavirus vaccination data would have provided added information with respect to independent contributions of various factors because as at the time when the surveys were conducted most of the African countries were yet to introduce Hib, pneumococcal and rotavirus vaccines. Another gap noticed in this study is the lack of knowledge of the HIV status of the children. The children were not tested for HIV infection during the survey.

Conclusions

This study gives an insight concerning the determinants of key morbidity factors among the immunised and HIV-exposed children in sub-Saharan Africa. The study reveals that residence in communities with high unemployment was an independent predictor of acute respiratory infections among immunised and HIV-exposed children. HIV-exposed children born to women aged 15–24 or 25–34 years old were significantly more likely to develop diarrheal diseases in sub-Saharan Africa.

These findings are important because they have policy implications on the implementation of child healthcare programmes for respiratory infections and diarrhoeal diseases particularly among HIV-exposed and infected children in sub-Saharan Africa. Public healthcare programmes should target adolescent and young women, and their family members on how to prevent diarrhoea. Efforts should be made to identify the hotspots for acute respiratory diseases especially in communities with high rate of unemployment and to develop strategies to combat the diseases in such communities.

Further large data research is needed in studying the effect of rotavirus, pneumococcal and Hib vaccines on the prevalence of diarrhoea and respiratory infection in sub-Saharan Africa population. It is recommended that DHS should include the newer vaccines and HIV status for the children as part of the collected data so as to have a large database for a robust study of vaccine-preventable diseases in HIV-infected children across developing countries.

Methods

Data sources

This study used 27 nationally represented and cross-sectional surveys as of November 2017. The demographic and health surveys (DHS) were implemented by different national institutions and ICF International, Calverton, Maryland, USA. United States Agency for International Development, Global Fund to Fight AIDS, Tuberculosis and Malaria, and others provided financial support. The survey methods and data collection procedures were described in another publication.Citation23 Included DHS were selected based on the availability of data on childhood immunisation, maternal HIV status, symptoms of acute respiratory infections and diarrhoea. DHS data were household sample surveys and the sampling design involved selecting and interviewing samples of women aged 15–49 years was based on multi-stage cluster sampling. The DHS surveys instruments were standardised questionnaires administered by interviewers. Women aged 15–49 years were tested for HIV infection while children were not tested during the survey.

Outcome variable

The outcome variable is defined as a DTP3 vaccinated child of an HIV-infected mother with symptoms of acute respiratory infections or an episode of diarrhoea two weeks prior to the survey. The vaccinees were within the 12–23 months age range at the time of various surveys and at that age they were expected to have taken most of the basic childhood vaccines as specified by each country.

DHS defined symptoms of acute respiratory infections as a cough associated with short and rapid breathing in an ill under-five child within the last two weeks preceding the survey. Diarrhoea is charaterised by loose and watery stools three or more times a day in children.

Determinant variables

Individual-level

Five measures of individual socio-economic position were considered in the model, namely: age of the mother, educational level, wealth index, employment status and place of residence. The age of the mother was in completed years (15 to 24, 25 to 34, 35 to 49); level of educational as no formal education, primary education, and secondary or higher education; wealth index as either poorer, middle and richest; and employment status as currently employed or unemployed.

Community-level factors

We included the following community-level factors in the model: neighbourhood poverty rate defined as the percentage of households that are below 20% of wealth index, illiteracy rate which is the percentage of women without formal education within the community, unemployment rate defined as the percentage of women who are currently unemployed within the community and place of residence which is either urban or rural. We also classified the rates to be low or high.

Country-level factors

The study included the following country-level factors in the model: gross domestic product (GDP) per capita, adult literacy rate and health expenditure (). We obtained these data from the World Bank database.Citation24 The country-level variables were also categorised into either low or high classes in order to assess nonlinear effects and for easy interpretation of results for policy decision making.

Statistical analyses

The distribution of respondents by various key variables were expressed as percentages. Pearson’s chi-squared test was used for analysing contingency tables. We used individual weights for the descriptive statistics reported by this study. Multivariable logistic regression models were used to analyse the association between individual and contextual factors associated with symptoms of acute respiratory infections or diarrhoea among the children of women living with HIV and with history of uptake of DTP3 vaccines.

We used a 5-level model for the binary variable, namely:

First model: empty null model, an unconditional model without any explanatory variables

Second model: for only individual-level factors

Third model: for only community-level factors

Fourth model: for only country-level factors

Fifth model (Full model): that controlled for individual-, community- and country-level factors simultaneously.

The fixed-effects model results were presented as odds ratio (ORs) with 95% credible intervals (CrIs). The random effects measures included intra-cluster correlation (ICC) and variance partition coefficient and median odds ratio (MOR). We calculated ICC by the use of formula described by Snijders and Bosker.Citation25 The method used for the calculation of MOR was described by Larsen et al.Citation26,Citation27. All the included tests were two tailed with the probability level of less than 0.05 considered to be significant. The models were fitted with MLwiN 3.01.Citation28 Statistical analysis were performed with the use of STATA 14.0.Citation29

Ethics statement

This research was a secondary analysis of existing survey data which were obtained with permission from the DHS program databaseCitation21 These surveys were conducted after ethical approval by the Institutional Review Board of ICF International, Calverton, Maryland, USA and by respective National Ethical Review Committees in Angola, Burkina Faso, Burundi, Cameroun, Chad, Democratic Republic of the Congo, Cote d’Ivoire, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Malawi, Mali, Namibia, Niger, Rwanda, Sao Tome and Principle, Senegal, Sierra Leone, Swaziland, Togo, Zambia and Zimbabwe. The study participants gave informed consent at the time of the surveys and their confidentiality respected.

Abbreviations

AIDS=

Acquired Immunodeficiency Syndrome

ARV=

antiretroviral drugs

CrI=

Credible interval

DHS=

Demographic and health survey

DTP=

Diphtheria-tetanus-pertussis

EPI=

Expanded Program on Immunization

GAPPD=

Integrated Global Action Plan for the Prevention and Control of Pneumonia and Diarrhoea

GAVI=

Global Alliance for Vaccines and Immunisation

GDP=

Gross domestic product per capita

HDI=

Human development index

HIV=

Human immunodeficiency virus

ICC=

Intra-cluster correlation

MOR=

Median odds ratio

OR=

Odds ratio

PMTCT=

Prevention of mother-to-child transmission

UNICEF=

United Nations Children’s Fund

Disclosure of potential conflicts of interest

No potential conflict of interest was reported by the authors.

Consent for publication

Not applicable.

Acknowledgments

We are grateful for the MEASURE DHS for releasing the data for this study.

Additional information

Funding

Olatunji O. Adetokunboh and Charles S. Wiysonge are supported by the National Research Foundation of South Africa (Grant Numbers:106035 and 108571) and the South African Medical Research Council. Olalekan A. Uthman is supported by the National Institute of Health Research using Official Development Assistance funding. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research, South African Medical Research Council and National Research Foundation of South Africa.

Notes on contributors

Olatunji O. Adetokunboh

Olatunji O. Adetokunboh conceived the study. OOA did the data analysis, interpreted the results and wrote the initial manuscript. OAU and CSW reviewed and edited the manuscript. All authors read and approved the final version of the manuscript.

References

  • United Nations Children’s Fund. The state of world’s children. Children in a digital world; 2017 [accessed 2018 Feb 22]. https://www.unicef.org/publications/files/SOWC_2017_ENG_WEB.pdf.
  • Global Alliance for Vaccines and Immunisation. GAVI annual report 2016; 2017 [accessed 2017 Dec 22]. http://www.gavi.org/progress-report/.
  • Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, Aboyans V, Adetokunboh O, Afshin A, Agrawal A, Ahmadi A, et al. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017;390(10100):1151–1210. doi:10.1016/S0140-6736(17)32152-9. PMID: 28919116.
  • Thea DM, St. Louis ME, Atido U, Kanjinga K, Kembo B, Matondo TT, et al. A prospective study of diarrhea and HIV-1 infection among 429 Zairian infants. N Engl J Med. 1993;329(23):1696–1702. doi:10.1056/NEJM199312023292304. PMID: 8232458.
  • Miller MA, Hinman A. Economic analyses of vaccine policies. In: Plotkin SA, editor. Vaccines. Philadelphia (PA): Elsevier Inc.; 2004.
  • Hadler SC, Cochi SL, Bilous J, Cutts F. Vaccination programs in developing countries. In: Plotkin SA, editor. Vaccines. Philadelphia (PA.): Elsevier Inc.; 2004.
  • Andre FE, Booy R, Bock HL, Clemens J, Datta SK, John TJ, Lee BW, Lolekha S, Peltola H, Ruff TA., et al., Vaccination greatly reduces disease, disability, death and inequity worldwide. Bull World Health Organ. 2008;86(2):140–146. PMID: 18297169.
  • World Health Organization. Estimates of disease burden and cost effectiveness; 2017. http://www.who.int/immunization/monitoring_surveillance/burden/estimates/en/.
  • Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, Abraha HN, Abu-Raddad LJ, Nme A-R, Adedeji IA, et al. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017;390(10100):1084–1150. doi:10.1016/S0140-6736(17)31833-0. PMID: 28919115.
  • Global Alliance for Vaccines and Immunisation. GAVI annual report 2016; 2017 [accessed 2017 Dec 27]. http://www.gavi.org/progress-report/.
  • Machingaidze S, Wiysonge CS, Hussey GD. Strengthening the expanded programme on immunization in Africa: looking beyond 2015. PLoS Medicine. 2013;10:1–5. doi:10.1371/journal.pmed.1001405.
  • World Health Organization. Table 1 : summary of WHO position papers - recommendations for routine immunization; 2018 [accessed 2018 Jul 7]. http://www.who.int/immunization/policy/Immunization_routine_table1.pdf?ua=1.
  • Wilson WJ. When work dissapears. 1st ed. New York: Alfred A. Knoff, Inc.; 1996
  • Cohen S. Social status and susceptibility to respiratory infections. Annals of the New York Academy of Science. 1999;896(1):246–253. PMID: 10681901.
  • Ogunmola OJ, Oladosu YO, Olamoyegun MA. Relationship between socioeconomic status and HIV infection in a rural tertiary health center. HIV AIDS (Auckl). 2014;6:61–67. doi:10.2147/HIV.S59061. PMID: 24790469.
  • Van Lenthe FJ, Borrell LN, Costa G, Diez Roux AV, C Tm K, Marinacci C, Martikainen P, Regidor E, Stafford M, Valkonen T. Neighbourhood unemployment and all cause mortality: A comparison of six countries. J Epidemiol Community Health. 2005;59(3):231–237. doi:10.1136/jech.2004.022574. PMID: 15709084.
  • Mörk E, Sjögreny A, Svalerydz H. Parental unemployment and child health. CESifo Economic Studies. 2014;60:366–401. doi:10.1093/cesifo/ifu016.
  • Ám P-R, Aguilera-Otalvaro P, Zárate-Ardila C, Hoyos-Martínez A. Acute respiratory infection in children from developing nations: a multi-level study. Paediatr Int Child Health. 2016;36(2):84–90. doi:10.1179/2046905515Y.0000000021. PMID: 25936959.
  • Finlay JE, Özaltin E, Canning D. The association of maternal age with infant mortality, child anthropometric failure, diarrhoea and anaemia for first births: evidence from 55 low- and middle-income countries. BMJ Open. 2011;1(2):e000226. doi:10.1136/bmjopen-2011-000226. PMID: 22021886.
  • Ám P-R, Zárate-Ardila C, Hoyos-Martínez A, Ám R-S, Vélez-Van-Meerbeke A. Country characteristics and acute diarrhea in children from developing nations: a multilevel study. BMC Public Health. 2015;15:811. doi:10.1186/s12889-015-2120-8. PMID: 26293136.
  • World Health Organization, The United Nations Children’s Fund. Ending preventable child deaths from Pneumonia and Diarrhoea by 2025: the integrated Global Action Plan for Pneumonia and Diarrhoea (GAPPD). Geneva (Switzerland): WHO/UNICEF; 2013 [accessed 2018 Jan 20]. http://apps.who.int/iris/bitstream/10665/79200/1/9789241505239_eng.pdf.
  • World Health Organization. Immunization coverage for selected vaccine preventable diseases; 2018.[accessed 2018 Jul 7]. http://www.who.int/gho/immunization/en/.
  • Measure DHS. Publications by country; 2017 [accessed 2017 Dec 21]. http://dhsprogram.com/Publications/Publications-by-Country.cfm.
  • World Bank. The world bank data; 2017. [accessed 2017 Dec 22]. http://data.worldbank.org/.
  • Snijders TAB, Bosker RJ. Multilevel analysis: an introduction to basic and advanced multilevel modeling. 2nd ed. London (UK): Sage Publishers; 2012.
  • Larsen K, Petersen JH, Budtz-Jrgensen E, Endahl L. Interpreting parameters in the logistic regression model with random effects. Biometrics. 2000;56(3):909–914. PMID: 10985236.
  • Larsen K, Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol. 2005;161(1):81–88. doi:10.1093/aje/kwi017. PMID: 15615918.
  • Rasbash J, Steele F, Browne W, Prosser B. A user’s guide to MLwiN. Centre for Multilevel Modelling, United Kingdom: University of Bristol; 2015.
  • StataCorp. Stata Statistical Software: release 14. College Station (TX): StataCorp LP; 2015.

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