Prevalence of antibiotic use and household water-sanitation risk factors of acute watery diarrhea among children <5 years: retrospective analysis of multicounty health survey data, 2006-2018

DOI: https://doi.org/10.21203/rs.3.rs-401478/v1

Abstract

A total 12,69,944 under five year Childs were included in this study among them 1,80,067 Childs were acute watery diarrhea (AWD) and 19,502 Childs were bloody diarrhea respectively. Among them 47,755 Childs were taken antibiotic treatment for AWD. The overall prevalence of acute watery diarrhea ~ 14% (prevalence = 0.142; 95% CI = 0.141, 0.142). On the other hand the prevalence of bloody diarrhea ~ 2% (prevalence = 0.015; 95% CI = 0.015, 0.016). The prevalence of antibiotic treatment for AWD was ~ 27% (prevalence = 0.27, 95% CI = 0.26, 0.27) among the under five years old children in DH survey regions in the world. The prevalence of acute watery diarrhea was higher ~ 17% (prevalence = 0.17, 95% CI = 0.16, 0.17) in the Latin America DHS survey region. The minimum prevalence of AWD was almost equal between South East Asia and Central Asia DHS survey regions ~ 12% (prevalence = 0.12, 95% CI = 0.11, 0.12) and ~ 12% (prevalence = 0.12, 95% CI = 0.10, 0.13) respectively. On the other hand the prevalence of AWD between Europe and West North and Central Africa DHS survey regions ~ 16% (prevalence = 0.16, 95% CI = 0.15, 0.16) and ~ 15% (prevalence = 0.15, 95% CI = 0.14, 0.15) correspondingly. In the central Asia of 15,089 under five Childs were included in the survey. Among them 1,748 Childs were AWD and 967 Childs had taken antibiotic treatment for AWD. The highest prevalence of antibiotic use for AWD in Central Asia ~ 55% (prevalence=(967/1748) = 0.55, 95% CI = 0.52, 0.59) and Europe DH survey region ~ 44% (prevalence=(5483/12502) = 0.44, 95% CI = 0.43, 0.45). The lowest prevalence of antibiotic use for under five Child AWD was ~ 23% (prevalence=(11918/51328) = 0.23, 95% CI = 0.22, 0.24) in the DH survey region South East Asia. On the other hand the DH survey region Latin America and West North and Central Africa region the prevalence of antibiotic use for AWD were ~ 30% (prevalence=(7887/26396) = 0.30, 95% CI = 0.29, 0.31) and ~ 24% (prevalence=(21500/88093) = 0.24, 95% CI = 0.23, 0.24). The South East Asia DH survey region countries DHS 2007 (Bangladesh), DHS 2014 and 2010 (Cambodia), DHS 2017 and 2012 (Indonesia), DHS 2009 (Maldives), DHS 2015–2016 (Myanmar), DHS 2012–2013 (Pakistan), DHS 2017 and 2013 (Philippines), and DHS 2009–2010 (Timor-Leste) were higher risk of AWD for drinking unimproved water sources. The prevalence of antibiotic use for u5c AWD was shown highest prevalence in DHS 2007 (~ 44%), DHS 2012 (~ 49%), DHS 2016 (~ 40%), and DHS 2017 (~ 65%) from DH survey 2006 to 2018 in South East & Central Asia. The linear trend analysis showed that upward trend for using antibiotic of AWD in the South East & Central Asia DH survey region.

Introduction

Diarrhea is the state of loose, liquid, or watery bowel engagements three times or more a day. [1] If it will be continue for a few days for a result creates severe dehydration. Among the low- and middle-income countries diarrhea is one of the foremost causes of antibiotic use for children. On the other hand vaccine may prevent diarrhea infections but they often consumed antibiotic treatment.[2] Of 13% prevalence for purchasing antibiotics without a prescription, ~ 2% were preferred by the regulars and ~ 11% were suggested by the pharmacists. [3] Cotrimoxazole was the most commonly prescribed drug (51%), followed by colistin sulfate (15.3%), norfloxacin (11%), and nalidixic acid (0.5%). The average number of antimicrobials per case of inpatients was higher than outpatients (1.15 vs 0.84, p < 0.001). There was a trend toward prescribing norfloxacin in childhood diarrhea. [4] The last 20 years shown that the prevalence of antibiotic resistance has increasing remarkably. [5] It is a serious hazard for health among the global people. [6] The low income and middle income countries are higher threatened than high income countries for depletion of antibiotic, prevalence, and confrontation of antibiotic against the childhood diarrhea or diseases by the record. [7] Aggregate the numbers of peoples for gaining access of antimicrobial resistance not only the formal health care but also increasing the antibiotic treatments by the both formal and informal health care providers. [8, 9] Moderately a 3rd of patients admitted to hospital are specified by the antibiotic treatment according to the report by the worldwide Point Prevalence Survey. [10] Around 21% antibiotic were used by oral pills or syrups and 3% by injections in the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data. The proportion of antibiotic treatments 3–78% for childhood diarrhea episodes among 38 included studies. [11] The main objective of this paper to estimate the prevalence of antibiotic use for acute watery diarrhea of under five children (u5c), and retrospectives analysis of household water sanitation risk factors of DHS multi country survey from 2006–2018.

Methods

Data sources

In this paper we used 112 Demographic Health Survey (DHS) data. On period of household surveys mothers were asked detailed questions about management of diarrhea episodes. And those under-5children were included whose 2-weeks diarrhea episodes earlier the survey date. Of 112 countries 12,69,944 under five Children (u5c) datasets were collected from Demographic and Health Survey (DHS) programmed surveys from 2006 to 2018 (https://dhsprogram.com/Data/). The cross sectional study design used for the DHS survey data collection. The details sampling strategy and methodology discuss in the DHS website and published reports.

Statistical Analysis Method

The dataset was collected from Demographic and Health Survey (DHS) programmed from 2006 to 2018 survey year. There were 12,69,944 under five Children suffering from acute watery diarrhea (had diarrhea last 24 hours or last two weeks) were analyzed as a study variable or dependent variable. Also analyzed the prevalence of antibiotic use for under five child acute watery diarrhea. The logistic regression was used to estimate crude odds ratio (COR) of household drinking water (Improved as reference category) sources and sanitation (Improved as reference category) risk factors with 95% confidence interval. The p-value was estimated for prediction of significant risk factors of under-five childhood watery diarrhea. The multiple logistic regression was used to estimate the adjusted odds ratio (AOR) the age in months and sex of the children with 95% confidence interval. All the statistical analysis implemented using the open sources software R statistical programming language (https://www.r-project.org/). The classification of household sanitation and water risk factors are as follows:

Improved Sanitation Facility Group:

  1. flush - to piped sewer system
  2. flush - to septic tank
  3. flush - to pit latrine
  4. flush - don't know where
  5. pit latrine - ventilated improved pit (VIP)
  6. pit latrine - with slab
  7. composting toilet

Unimproved Sanitation Facility Group:

  1. flush - to somewhere else
  2. pit latrine - without slab / open pit
  3. bucket toilet
  4. hanging toilet/latrine
  5. other

Improved Drinking Water Sources Group:

  1. piped into dwelling piped to yard/plot
  2. public tap/standpipe
  3. piped to neighbor
  4. tube well or borehole
  5. protected well
  6. protected spring
  7. rainwater
  8. tanker truck, cart with small tank
  9. bottled water

Unimproved Drinking Water Sources Group:

  1. unprotected well
  2. unprotected spring
  3. surface water (river/dam/lake/pond/stream/canal/irrigation channel)
  4. other

Results

Overall Characteristics: A total 12,69,944 under five year Childs were included in this study among them 1,80,067 Childs were acute watery diarrhea (AWD) and 19,502 Childs were bloody diarrhea respectively. Among them 47,755 Childs were taken antibiotic treatment for AWD. The overall prevalence of acute watery diarrhea ~14% (prevalence=0.142; 95% CI=0.141, 0.142). On the other hand the prevalence of bloody diarrhea ~2% (prevalence=0.015; 95% CI=0.015, 0.016). The prevalence of antibiotic treatment for AWD was ~27% (prevalence=0.27, 95% CI=0.26, 0.27) among the under five years old children in DH survey regions in the world.

Socio-economic and Demographic characteristics: The wealth index is a significant measurement of socio-economic status. The median (robust measures of central tendency with 50% outliers tolerate) prevalence of antibiotic use for acute watery diarrhea (AWD) were almost equal among the poorest (~22%) and poorer (~22%) group Childs respectively. But among the richest people prevalence of antibiotic use was ~14% for AWD. Therefore, from the box plot (Figure-1(A)) showed that the prevalence of antibiotic use trend was decreasing from poorest to richest (Supplementary Table-1).

The mother education plays significant roles for under five childhood acute watery diarrhea. The prevalence of AWD among the primary and secondary education child mother were higher ~31% (median) and ~28% (median) respectively. Comparatively lower prevalence of AWD among the no education child mother group ~20% (median) than the primary and secondary education child mother. However, prevalence of AWD remarkably lowers ~2% among the higher education mother (Figure-1(B) and Supplementary Table-2).

The prevalence of AWD was higher among the age group 6-12 months and 12-18 months ~19% (median) and ~18% (median) respectively. The very low prevalence of AWD among the age group 42-48 months and 48-54 months were ~5% (median) and ~5% (median) respectively (Supplementary Table-3). From the box plot (Figure-1(C)) showed that the prevalence of AWD was decreasing trend from age group 6-12 months to 48-54 months.

Prevalence of acute watery diarrhea (AWD):

The prevalence of acute watery diarrhea was higher ~17% (prevalence=0.17, 95% CI=0.16, 0.17) in the Latin America DHS survey region. The minimum prevalence of AWD was almost equal between South East Asia and Central Asia DHS survey regions ~12% (prevalence=0.12, 95% CI=0.11, 0.12) and ~12% (prevalence=0.12, 95% CI=0.10, 0.13) respectively. On the other hand the prevalence of AWD between Europe and West North and Central Africa DHS survey regions ~16% (prevalence=0.16, 95% CI=0.15, 0.16) and ~15% (prevalence=0.15, 95% CI=0.14, 0.15) correspondingly (Table-1).

South East Asia: In Afghanistan 2015 demographic health survey (DHS) 30,951 Childs were included in this survey. Among them 7990 Childs were AWD. It is the highest prevalence ~26% (prevalence=0.26, 95% CI=0.25, 0.26) in the DH survey region South East Asia. The DH survey 2012-2013 and 2017-2018 in Pakistan were higher prevalence of AWD ~21% (prevalence=0.21, 95% CI=0.20, 0.22) and ~18% (prevalence=0.18, 95% CI=0.17, 0.18). But the Maldives 2009 and 2016-2017 DH survey showed that the lowest prevalence of AWD ~5% (prevalence=0.05, 95% CI=0.04, 0.06) and ~4% (prevalence=0.04, 95% CI=0.03, 0.05) respectively (Table-1). The details prevalence of AWD in South Asia was shown in the global mapping Figure-2(A).

Central Asia: The highest prevalence of AWD was ~15% (prevalence=0.15, 95% CI=0.14, 0.16) in Tajikistan DH survey 2012. On the other hand the lowest prevalence of AWD was ~5% (prevalence=0.05, 95% CI=0.05, 0.06) in Kyrgyz Republic DH survey 2012 (Table-1 and Figure 2(B)) in the DH survey region Central Asia.

Europe: In the DH survey 2015-2016 and 2017-2018 in Albania was lowest prevalence of AWD ~4% (prevalence=0.04, 95% CI=0.03, 0.15) and ~5% (prevalence=0.05, 95% CI=0.05, 0.06). The highest prevalence of AWD ~31% (prevalence=0.31, 95% CI=0.30, 0.32) in Yemen 2013 DH survey (Table-1 and Figure-2(C)) in the DH survey region Europe.

Latin America: The demographic and health survey 2008 in Bolivia and 2005-2006 in Haiti were highest prevalence of AWD ~25% (prevalence=0.25, 95% CI=0.24, 0.26) and ~22% (prevalence=0.22, 95% CI=0.21, 0.23) respectively. The lowest prevalence of AWD was ~10% (prevalence=0.10, 95% CI=0.09, 0.11) in Guyana 2009 DH survey in the Latin America region (Tabel-1 and Figure-2(D)).

West North and Central Africa: The lowest prevalence of AWD was ~6% (prevalence=0.06, 95% CI=0.06, 0.07) in Benin 2011-2012 DH survey. The demographic health survey 2006 and 2011 in Uganda and Burundi 2010 DH survey were highest prevalence of AWD ~26% (prevalence=0.26, 95% CI=0.25, 0.27), ~23% (prevalence=0.23, 95% CI=0.22, 0.24), and ~25% (prevalence=0.25, 95% CI=0.24, 0.26) respectively (Table-1 and Figure-2(E)) in the West North and Central Africa.

Prevalence of Antibiotic use for AWD:

In the central Asia of 15,089 under five Childs were included in the survey. Among them 1,748 Childs were AWD and 967 Childs had taken antibiotic treatment for AWD. The highest prevalence of antibiotic use for AWD in Central Asia ~55% (prevalence=(967/1748)=0.55, 95% CI=0.52, 0.59) and Europe DH survey region ~44% (prevalence=(5483/12502)=0.44, 95% CI=0.43, 0.45). The lowest prevalence of antibiotic use for under five Child AWD was ~23% (prevalence=(11918/51328)=0.23, 95% CI=0.22, 0.24) in the DH survey region South East Asia. On the other hand the DH survey region Latin America and West North and Central Africa region the prevalence of antibiotic use for AWD were ~30% (prevalence=(7887/26396)=0.30, 95% CI=0.29, 0.31) and ~24% (prevalence=(21500/88093)=0.24, 95% CI=0.23, 0.24) (Table-1).

South East Asia: The demographic health survey 2017-2018 in Pakistan and 2007 in Indonesia were highest prevalence of antibiotic use for AWD in the South East Asia. The estimated prevalence were ~47% (prevalence=0.47, 95% CI=0.44, 0.50) and ~44% (prevalence=0.44, 95% CI=0.41, 0.46) respectively. The lowest prevalence of antibiotic use for AWD in the Maldives DH survey 2016-2017 was ~5% (prevalence=0.05, 95% CI=-0.18, 0.27) and Timor-Leste DH survey 2009-2010 was ~5% (prevalence=0.05, 95% CI=0.0, 0.11) respectively (Table-1) and the details prevalence shown in the global mapping Figure-3(A).

Central Asia: In the Central Asia DH survey region more than ~40% prevalence of antibiotic use for AWD. The DH survey 2017 in Tajikistan highest prevalence ~65% (prevalence=0.65, 95% CI=0.61, 0.69) of antibiotic use for Child AWD in the Central Asia region (Table-1 and Figure-3(B)).

Europe: In the DH survey 2012 in Jordan and 2006 in Azerbaijan were highest prevalence of antibiotic use for AWD ~54% (prevalence=0.54, 95% CI=0.50, 0.57) and ~49% (prevalence=0.49, 95% CI=0.40, 0.58). On the other hand the lowest prevalence of antibiotic use for AWD ~15% (prevalence=0.15, 95% CI=-0.01, 0.30) in the Europe DH survey region (Table-1 and Figure-3(C)).

Latin America: The DH survey region Latin America the highest prevalence of antibiotic use for AWD in Guatemala 2014-2015 survey ~42% (prevalence=0.42, 95% CI=0.39, 0.45). Also in the Bolivia DHS 2008, Peru DHS 2009, Peru DHS 2011, Peru DHS 2012 were high prevalence of antibiotic use for AWD. The estimated prevalence for those DHS countries were ~40% (prevalence=0.40, 95% CI=0.37, 0.43), ~40% (prevalence=0.40, 95% CI=0.36, 0.44), ~39% (prevalence=0.39, 95% CI=0.35, 0.44), and ~38% (prevalence=0.38, 95% CI=0.34, 0.43) respectively. The lowest prevalence of antibiotic use for AWD was ~10% (prevalence=0.10, 95% CI=0.05, 0.15) in Haiti 2012 DHS in the DH survey region Latin America (Table-1 and Figure-3(D)).

West North and Central Africa: The lowest prevalence of antibiotic use for AWD in the DH survey region West North and Central Africa in Burundi DHS 2016-2017 and Zimbabwe DHS 2005-2006 were ~6% (prevalence=0.06, 95% CI=0.02, 0.09) and ~6% (prevalence=0.06, 95% CI=-0.02, 0.14) respectively. The higher prevalence of antibiotic use for AWD in Congo DHS 2011-2012 and Liberia DHS 2013 were ~59% (prevalence=0.59, 95% CI=0.56, 0.63) and ~59% (prevalence=0.59, 95% CI=0.56, 0.62) respectively. On the other hand, Sierra Leone DHS 2013 and 2008, DHS 2010 in Tanzania were also higher prevalence of antibiotic use for AWD of under five children. The estimated prevalence were ~48% (prevalence=0.48, 95% CI=0.44, 0.52), ~44% (prevalence=0.44, 95% CI=0.38, 0.50), and ~47% (prevalence=0.47, 95% CI=0.43, 0.52) correspondingly (Table-1 and Figure-3(E)).

Household water and sanitation risk factors analysis of under five children AWD:

The multiple logistic regression was used to estimate the odds ratio for measuring water sanitation risk factors of under five children AWD.

Drinking water sources and sanitation toilet risk factor:

South East Asia: The South East Asia DH survey region countries DHS 2007 (Bangladesh), DHS 2014 and 2010 (Cambodia), DHS 2017 and 2012 (Indonesia), DHS 2009 (Maldives), DHS 2015-2016 (Myanmar), DHS 2012-2013 (Pakistan), DHS 2017 and 2013 (Philippines), and DHS 2009-2010 (Timor-Leste) were higher risk of AWD for drinking unimproved water sources.

The DH survey 2007 in Bangladesh was ~1.10 times (aOR=1.1, 95% CI=1.09, 1.11) higher risk of u5c AWD for using unimproved drinking water sources. The DHS 2014 ~1.4 times (aOR=1.40, 95% CI=1.39, 1.42) and 2010 ~1.11 times (aOR=1.11, 95% CI=1.10, 1.12) more risk of u5c AWD in Cambodia for using unimproved drinking water sources. Similarly, ~1.26 times in DHS 2017 and ~1.18 times in 2012 (Indonesia), ~1.65 times in DHS 2009 (Maldives), ~1.21 times in DHS 2015-2016 (Myanmar), ~1.11 times in DHS 2012-2013 (Pakistan), ~1.24 times in DHS 2017 and ~1.18 times in 2013 (Philippines), and ~1.18 times in DHS 2009-2010 (Timor-Leste) higher risk of u5c AWD due to use unimproved drinking water sources respectively (Table-2 and Supplementary Figure-1 (a)).

Most of the countries in the South East Asia region were higher risk of u5c AWD for using unimproved sanitation toilet. On the other hand, DHS 2015 in Afghanistan, DHS 2015-2016 in Myanmar, and DHS 2016 in Timor-Leste were lower risk of AWD (Table-2 and Supplementary Figure-3(a)).

Central Asia: The DH survey 2012 in the Tajikistan was ~1.4 times (aOR=1.14, 95% CI=1.13, 1.15) higher risk of u5c AWD for drinking unimproved water sources (Table-2 and Supplementary Figure-1(b)). On the other hand, the DHS 2012 in Tajikistan was ~4% (aOR=1.04, 95% CI=1.03, 1.04) more risk of AWD using unimproved sanitation toilet (Table-2 and Supplementary Figure-3(b)). 

Europe: The DHS 2010 in Armenia, DHS 2016 in Azerbaijan, and DHS 2008 in Egypt were ~2 times (aOR=1.90, 95% CI=1.85, 1.95), ~5 times (aOR=4.54, 95% CI=4.35, 4.73), and ~1.31 times (aOR=1.31, 95% CI=1.28, 1.33) were higher risk of AWD for drinking unimproved water sources (Table-2 and Supplementary Figure-1(c)) .

The risk of AWD for using unproved sanitation toilet was higher among Armenia (DHS-2010), Azerbaijan (DHS-2006), and Jordan (DHS-2012). The estimated adjusted odds ratio (aOR) was aOR=2.54 (95% CI=2.47, 2.61), aOR=1.42 (95% CI=1.39, 1.46), and aOR=1.47 (95% CI=1.45, 1.48) respectively (Table-2 and Supplementary Figure-3(c)).

Latin America: The DHS 2008 in Bolivia (aOR=1.69; 95% CI=1.67, 1.71), DHS 2010 in Colombia (aOR=1.23; 95% CI=1.22, 1.24), DHS 2014-2015 in Guatemala (aOR=1.31; 95% CI=1.29, 1.33), DHS 2016-2017 (aOR=1.16; 95% CI=1.29, 1.33) and DHS 2012 (aOR=1.76; 1.71, 1.80) in Haiti, DHS 2012 (aOR=1.49; 95% CI=1.45, 1.48), DHS 2009 (aOR=1.59; 95% CI=1.57, 1.61), DHS 2007-2008 (aOR=1.55; 95% CI=1.53, 1.57), and DHS 2004-2006 (aOR=1.40; 95% CI=1.38, 1.41) in Peru were highest risk of u5c AWD for drinking unimproved water sources (Table-2 and Supplementary Figure-1(d)).

All the DH survey in the DH survey region in Latin America was higher risk of AWD for using unimproved sanitation toilet. But the DHS 2016-2017 in Haiti was lower risk of AWD (aOR=0.99; 95% CI=0.99, 0.99) for using unimproved sanitation toilet (Table-2 and Supplementary Figure-3(d)).

West North and Central Africa: Most of DH survey countries were higher risk of AWD of u5c for using unimproved drinking water sources and unimproved sanitation toilet in the West North and Central Africa DH survey regions. The details results were shown in the Table-2 (drinking water sources & sanitation toilet), Supplementary Figure-2 (drinking water sources) and Supplementary Figure-4 (sanitation toilet).

Trend of Antibiotic use for AWD

South East & Central Asia: The prevalence of antibiotic use for u5c AWD was shown highest prevalence in DHS 2007 (~44%), DHS 2012 (~49%), DHS 2016 (~40%), and DHS 2017 (~65%) from DH survey 2006 to 2018 in South East & Central Asia. The linear trend analysis showed that upward trend for using antibiotic of AWD in the South East & Central Asia DH survey region (Figure-4 (A)).

Europe: The prevalence of antibiotic use for u5c AWD was shown highest prevalence in DHS 2007 (~50%), DHS 2012 (~54%), DHS 2014 (~47%), and DHS 2018 (~32%) from DH survey 2006 to 2018 in Europe DH survey region. The linear trend analysis showed that downward trend for using antibiotic of AWD in the Europe DH survey region (Figure-4 (B)).

Latin America: The prevalence of antibiotic use for u5c AWD was shown highest prevalence in DHS 2006 (~37%), DHS 2008 (~40%), DHS 2009 (~40%), and DHS 2015 (~32%) from DH survey 2006 to 2018 in Latin America DH survey region. The linear trend analysis showed that downward (decreasing pattern) trend for using antibiotic of AWD in the Latin America DH survey region (Figure-4 (C)).

West North and Central Africa: The prevalence of antibiotic use for u5c AWD was shown highest prevalence in DHS 2008 (~44%), DHS 2010 (~47%), DHS 2012 (~59%), DHS 2013 (~48%), and DHS 2018 (~8%) from DH survey 2006 to 2018 in West North and Central Africa DH survey region. The linear trend analysis showed that downward (decreasing pattern) trend for using antibiotic of AWD in the West North and Central Africa DH survey region (Figure-4 (D)).

Discussion And Conclusions

Antibiotic use for acute watery diarrhea among the under five children are common phenomenon in the low and middle income countries.  The overall prevalence of diarrhea among the South East Asia and Central Asia are equally distributed among the under child watery diarrhea. The highest prevalence of antibiotic use of under five children diarrhea among the Central Asia on the other hand the lowest prevalence of antibiotic use among the West North and Central Africa DH survey region.  According to the trend analysis shown that the prevalence of antibiotic use for under five children diarrhea was the increasing trend among the South East and Central Asia DH survey regions. However all the other DH survey regions (Europe, Latin America, and West North and Central Africa) were decreasing trend of antibiotic use for under five children diarrhea.

Declarations

Acknowledgement

The author is cordially grateful to the DHS for making the data access available for analysis and publications. This work was done by author won interest, there no funding for this study. The authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Author contributions

All the statistical analysis and write & revised the manuscript and provided important intellectual content. The author approved the final version of the manuscript.

Competing interests

The author(s) declare no competing interests.

Data Availability

The study data are available upon request from the Demographic and Health Surveys program (https://dhsprogram.com/).

References

  1. "Diarrhoeal disease Factsheet". World Health Organization. 2 May 2017. Retrieved 29 October2020.
  2. Lewnard JA, Rogawski McQuade ET, Platts-Mills JA, Kotloff KL, Laxminarayan R. Incidence and etiology of clinically-attended, antibiotic-treated diarrhea among children under five years of age in low- and middle-income countries: Evidence from the Global Enteric Multicenter Study. PLoS Negl Trop Dis. 2020 Aug 10;14(8):e0008520. doi: 10.1371/journal.pntd.0008520. PMID: 32776938; PMCID: PMC7444547.
  3. Ecker L, Ruiz J, Vargas M, Del Valle LJ, Ochoa TJ. Prevalencia de compra sin receta y recomendación de antibióticos para niños menores de 5 años en farmacias privadas de zonas periurbanas en Lima, Perú, Prevalence of purchase of antibiotics without prescription and antibiotic recommendation practices for children under five years of age in private pharmacies in peri-urban areas of Lima, Peru. Rev Peru Med Exp Salud Publica. 2016 Jun;33(2):215-23. Spanish. PMID: 27656919.
  4. Howteerakul N, Higginbotham N, Dibley MJ. Antimicrobial use in children under five years with diarrhea in a central region province, Thailand. Southeast Asian J Trop Med Public Health. 2004 Mar;35(1):181-7. PMID: 15272767.
  5. Kumarasamy KK, Toleman MA, Walsh TR, et al. Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study. Lancet Infect Dis 2010; 10: 597–602.
  6. Klein EY, Van Boeckel TP, Martinez EM, et al. Global increase and geographic convergence in antibiotic consumption between 2000 and 2015. Proc Natl Acad Sci USA 2018; 115: e3463–70.
  7. Klein EY, Tseng KK, Pant S, Laxminarayan R. Tracking global trends in the effectiveness of antibiotic therapy using the Drug Resistance Index. BMJ Glob Health 2019; 4:
  8. Olesen SW, Barnett ML, MacFadden DR, Lipsitch M, Grad YH. Trends in outpatient antibiotic use and prescribing practice among US older adults, 2011–15: observational study. BMJ 2018; 362:
  9. Nolte O. Antimicrobial resistance in the 21st century: a multifaceted challenge. Protein Pept Lett 2014; 21: 330–35.
  10. Versporten A, Zarb P, Caniaux I, et al. Antimicrobial consumption and resistance in adult hospital inpatients in 53 countries: results of an internet-based global point prevalence survey. Lancet Glob Health 2018; 6: e619–29.
  11. Sreeramareddy, C., and P. Mittal. "Antibiotic use for childhood diarrhea in low-and-middle-income countries: Re-analyses of survey data and systematic review of literature." International Journal of Infectious Diseases, 101 (2020): 105.

Tables

Table-1: Prevalence of diarrhea of under-five child (u5c) among 112 DHS national survey 2006-2018

DHS Survey Countries

Total No. of u5c

No. of u5c diarrhea

Diarrhea of u5c

No. of u5c antibiotic use for AWD

Antibiotic use for AWD

 
 

South East Asia

N

n

Prevalence (95% CI)

n

 Prevalence (95% CI)

 

Afghanistan (2015)

30951

7990

0.26 (0.25, 0.26)

1522

0.19 (0.17, 0.21)

 

Bangladesh (2007)

5789

560

0.1 (0.09, 0.1)

56

0.1 (0.02, 0.18)

 

Cambodia (2014)

6970

855

0.12 (0.11, 0.13)

45

0.05 (-0.01, 0.12)

 

Cambodia (2010)

7820

1135

0.15 (0.14, 0.15)

83

0.07 (0.02, 0.13)

 

India (2015-2016)

247743

22500

0.09 (0.09, 0.09)

5464

0.24 (0.23, 0.25)

 

Indonesia (2017)

17263

2440

0.14 (0.14, 0.15)

306

0.13 (0.09, 0.16)

 

Indonesia (2012)

17323

2505

0.14 (0.14, 0.15)

321

0.13 (0.09, 0.16)

 

Indonesia (2007)

17891

2536

0.14 (0.14, 0.15)

1104

0.44 (0.41, 0.46)

 

Maldives (2016-2017)

3055

126

0.04 (0.03, 0.05)

6

0.05 (-0.18, 0.27)

 

Maldives (2009)

3759

188

0.05 (0.04, 0.06)

20

0.11 (-0.04, 0.25)

 

Myanmar (2015-2016)

4596

550

0.12 (0.11, 0.13)

219

0.4 (0.33, 0.46)

 

Nepal (2016)

4861

336

0.07 (0.06, 0.08)

102

0.3 (0.21, 0.39)

 

Nepal (2011)

5054

679

0.13 (0.12, 0.14)

93

0.14 (0.07, 0.21)

 

Nepal (2006)

5457

659

0.12 (0.11, 0.13)

61

0.09 (0.02, 0.17)

 

Pakistan (2017-2018)

11985

2107

0.18 (0.17, 0.18)

985

0.47 (0.44, 0.5)

 

Pakistan (2012-2013)

10935

2298

0.21 (0.2, 0.22)

829

0.36 (0.33, 0.39)

 

Philippines (2017)

10297

652

0.06 (0.06, 0.07)

171

0.26 (0.2, 0.33)

 

Philippines (2013)

7012

551

0.08 (0.07, 0.08)

194

0.35 (0.28, 0.42)

 

Philippines (2008)

6382

571

0.09 (0.08, 0.1)

139

0.24 (0.17, 0.32)

 

Timor-Leste (2016)

6950

700

0.1 (0.09, 0.11)

124

0.18 (0.11, 0.25)

 

Timor-Leste (2009-2010)

9294

1390

0.15 (0.14, 0.16)

74

0.05 (0, 0.11)

 

Total

441387

51328

0.12 (0.11, 0.12)

11918

0.23 (0.22, 0.24)

 

Central Asia

 

 

 

 

 

 

Kyrgyz Republic (2012)

4236

223

0.05 (0.05, 0.06)

95

0.43 (0.33, 0.53)

 

Tajikistan (2017)

6019

802

0.13 (0.12, 0.14)

519

0.65 (0.61, 0.69)

 

Tajikistan (2012)

4834

723

0.15 (0.14, 0.16)

353

0.49 (0.44, 0.54)

 

Total

15089

1748

0.12 (0.10, 0.13)

967

0.55 (0.52, 0.59)

 

Europe

 

 

 

 

 

 

Albania (2017-2018)

2755

149

0.05 (0.05, 0.06)

22

0.15 (-0.01, 0.3)

 

Armenia (2015-2016)

1709

68

0.04 (0.03, 0.05)

22

0.32 (0.12, 0.53)

 

Armenia (2010)

1450

128

0.09 (0.07, 0.1)

41

0.32 (0.17, 0.47)

 

Azerbaijan (2006)

2196

231

0.11 (0.09, 0.12)

113

0.49 (0.4, 0.58)

 

Egypt (2014)

15465

2010

0.13 (0.12, 0.14)

949

0.47 (0.44, 0.5)

 

Egypt (2008)

10595

979

0.09 (0.09, 0.1)

390

0.4 (0.35, 0.45)

 

Jordan (2017-2018)

10475

968

0.09 (0.09, 0.1)

312

0.32 (0.27, 0.37)

 

Jordan (2012)

10128

1540

0.15 (0.15, 0.16)

830

0.54 (0.5, 0.57)

 

Jordan (2007)

10237

1659

0.16 (0.15, 0.17)

836

0.5 (0.47, 0.54)

 

Yemen (2013)

15326

4770

0.31 (0.3, 0.32)

1968

0.41 (0.39, 0.43)

 

Total

80336

12502

0.16 (0.15, 0.16)

5483

0.44 (0.43, 0.45)

 

Latin America

 

 

 

 

 

 

Bolivia (2008)

8193

2055

0.25 (0.24, 0.26)

825

0.4 (0.37, 0.43)

 

Colombia (2010)

17443

2495

0.14 (0.14, 0.15)

549

0.22 (0.19, 0.25)

 

Dominican Republic (2013)

3605

637

0.18 (0.16, 0.19)

125

0.2 (0.13, 0.27)

 

Dominican Republic (2007)

10796

1773

0.16 (0.16, 0.17)

294

0.17 (0.12, 0.21)

 

Guatemala (2014-2015)

12068

2239

0.19 (0.18, 0.19)

946

0.42 (0.39, 0.45)

 

Guyana (2009)

2105

213

0.1 (0.09, 0.11)

36

0.17 (0.04, 0.3)

 

Haiti (2016-2017)

6120

1235

0.2 (0.19, 0.21)

202

0.16 (0.11, 0.21)

 

Haiti (2012)

6744

1415

0.21 (0.2, 0.22)

141

0.1 (0.05, 0.15)

 

Haiti (2005-2006)

5596

1217

0.22 (0.21, 0.23)

182

0.15 (0.1, 0.2)

 

Honduras (2011-2012)

10592

1919

0.18 (0.17, 0.19)

684

0.36 (0.32, 0.39)

 

Honduras (2005-2006)

10506

1797

0.17 (0.16, 0.18)

360

0.2 (0.16, 0.24)

 

Peru (2012)

9445

1254

0.13 (0.13, 0.14)

479

0.38 (0.34, 0.43)

 

Peru (2011)

8950

1312

0.15 (0.14, 0.15)

518

0.39 (0.35, 0.44)

 

Peru (2009)

10041

1475

0.15 (0.14, 0.15)

586

0.4 (0.36, 0.44)

 

Peru (2007-2008)

16730

2680

0.16 (0.15, 0.17)

980

0.37 (0.34, 0.4)

 

Peru (2004-2006)

16730

2680

0.16 (0.15, 0.17)

980

0.37 (0.34, 0.4)

 

Total

155664

26396

0.17 (0.16, 0.17)

7887

0.30 (0.29, 0.31)

 

West North and Central Africa

 

 

 

 

 

 

Angola (2015-2016)

13619

1891

0.14 (0.13, 0.14)

406

0.21 (0.17, 0.25)

 

Benin (2017-2018)

12651

1342

0.11 (0.1, 0.11)

101

0.08 (0.02, 0.13)

 

Benin (2011-2012)

12679

816

0.06 (0.06, 0.07)

163

0.2 (0.14, 0.26)

 

Burkina Faso (2010)

13716

2031

0.15 (0.14, 0.15)

576

0.28 (0.25, 0.32)

 

Burundi (2016-2017)

12472

2664

0.21 (0.21, 0.22)

151

0.06 (0.02, 0.09)

 

Burundi (2010)

7231

1787

0.25 (0.24, 0.26)

384

0.21 (0.17, 0.26)

 

Cameroon (2011)

10713

2078

0.19 (0.19, 0.2)

372

0.18 (0.14, 0.22)

 

Chad (2014-2015)

16837

3292

0.2 (0.19, 0.2)

474

0.14 (0.11, 0.18)

 

Comoros (2012)

3022

480

0.16 (0.15, 0.17)

91

0.19 (0.11, 0.27)

 

Congo (2011-2012)

8857

1531

0.17 (0.16, 0.18)

908

0.59 (0.56, 0.63)

 

Congo (2005)

4435

627

0.14 (0.13, 0.15)

203

0.32 (0.26, 0.39)

 

Congo Democratic Republic (2013-2014)

17188

2818

0.16 (0.16, 0.17)

939

0.33 (0.3, 0.36)

 

Congo Democratic Republic (2007)

7987

1287

0.16 (0.15, 0.17)

336

0.26 (0.21, 0.31)

 

Cote d'Ivoire (2011-2012)

7052

1276

0.18 (0.17, 0.19)

163

0.13 (0.08, 0.18)

 

Eswatini (2006-2007)

2537

347

0.14 (0.12, 0.15)

75

0.22 (0.12, 0.31)

 

Ethiopia (2016)

10006

1090

0.11 (0.1, 0.12)

150

0.14 (0.08, 0.19)

 

Ethiopia (2011)

10808

1620

0.15 (0.14, 0.16)

251

0.15 (0.11, 0.2)

 

Gabon (2012)

5747

981

0.17 (0.16, 0.18)

299

0.3 (0.25, 0.36)

 

Gambia (2013)

7788

1340

0.17 (0.16, 0.18)

325

0.24 (0.2, 0.29)

 

Ghana (2014)

5593

671

0.12 (0.11, 0.13)

243

0.36 (0.3, 0.42)

 

Ghana (2008)

2794

553

0.2 (0.18, 0.21)

201

0.36 (0.3, 0.43)

 

Guinea (2012)

6396

1071

0.17 (0.16, 0.18)

226

0.21 (0.16, 0.26)

 

Kenya (2014)

20069

2953

0.15 (0.14, 0.15)

505

0.17 (0.14, 0.2)

 

Kenya (2008-2009)

5706

946

0.17 (0.16, 0.18)

217

0.23 (0.17, 0.29)

 

Lesotho (2014)

2915

328

0.11 (0.1, 0.12)

52

0.16 (0.06, 0.26)

 

Liberia (2013)

7058

1675

0.24 (0.23, 0.25)

989

0.59 (0.56, 0.62)

 

Liberia (2007)

5305

1072

0.2 (0.19, 0.21)

148

0.14 (0.08, 0.19)

 

Madagascar (2008-2009)

11750

1006

0.09 (0.08, 0.09)

260

0.26 (0.2, 0.31)

 

Malawi (2015-2016)

16462

3402

0.21 (0.2, 0.21)

979

0.29 (0.26, 0.32)

 

Malawi (2010)

18360

3105

0.17 (0.16, 0.17)

717

0.23 (0.2, 0.26)

 

Mali (2012-2013)

9582

844

0.09 (0.08, 0.09)

140

0.17 (0.1, 0.23)

 

Mali (2006)

12388

1450

0.12 (0.11, 0.12)

335

0.23 (0.19, 0.28)

 

Mozambique (2011)

10291

1071

0.1 (0.1, 0.11)

313

0.29 (0.24, 0.34)

 

Namibia (2013)

4805

810

0.17 (0.16, 0.18)

156

0.19 (0.13, 0.25)

 

Namibia (2006-2007)

4841

576

0.12 (0.11, 0.13)

112

0.19 (0.12, 0.27)

 

Niger (2012)

11602

1591

0.14 (0.13, 0.14)

199

0.13 (0.08, 0.17)

 

Niger (2006)

8209

1669

0.2 (0.19, 0.21)

590

0.35 (0.31, 0.39)

 

Nigeria (2013)

28596

2968

0.1 (0.1, 0.11)

1121

0.38 (0.35, 0.41)

 

Nigeria (2008)

25273

2645

0.1 (0.1, 0.11)

849

0.32 (0.29, 0.35)

 

Rwanda (2014-2015)

7556

905

0.12 (0.11, 0.13)

106

0.12 (0.06, 0.18)

 

Rwanda (2010)

8484

1109

0.13 (0.12, 0.14)

116

0.1 (0.05, 0.16)

 

Sao Tome and Principe (2008-2009)

1851

230

0.12 (0.11, 0.14)

61

0.27 (0.15, 0.38)

 

Senegal (2017)

11605

2212

0.19 (0.18, 0.2)

336

0.15 (0.11, 0.19)

 

Senegal (2016)

6417

1062

0.17 (0.16, 0.17)

164

0.15 (0.1, 0.21)

 

Senegal (2015)

6602

1359

0.21 (0.2, 0.22)

195

0.14 (0.09, 0.19)

 

Senegal (2014)

6526

1272

0.19 (0.19, 0.2)

186

0.15 (0.1, 0.2)

 

Senegal (2012-2013)

6540

972

0.15 (0.14, 0.16)

201

0.21 (0.15, 0.26)

 

Senegal (2010-2011)

11633

2196

0.19 (0.18, 0.2)

494

0.22 (0.19, 0.26)

 

Sierra Leone (2013)

10618

1214

0.11 (0.11, 0.12)

581

0.48 (0.44, 0.52)

 

Sierra Leone (2008)

5043

590

0.12 (0.11, 0.13)

258

0.44 (0.38, 0.5)

 

South Africa (2016)

3413

350

0.1 (0.09, 0.11)

37

0.11 (0, 0.21)

 

Tanzania (2015-2016)

9707

1125

0.12 (0.11, 0.12)

369

0.33 (0.28, 0.38)

 

Tanzania (2010)

7526

1015

0.13 (0.13, 0.14)

478

0.47 (0.43, 0.52)

 

Togo (2013-2014)

6530

1042

0.16 (0.15, 0.17)

251

0.24 (0.19, 0.29)

 

Uganda (2016)

14710

2923

0.2 (0.19, 0.21)

666

0.23 (0.2, 0.26)

 

Uganda (2011)

7355

1684

0.23 (0.22, 0.24)

589

0.35 (0.31, 0.39)

 

Uganda (2006)

7593

1956

0.26 (0.25, 0.27)

579

0.3 (0.26, 0.33)

 

Zambia (2013-2014)

12698

2045

0.16 (0.15, 0.17)

670

0.33 (0.29, 0.36)

 

Zambia (2007)

5844

909

0.16 (0.15, 0.16)

221

0.24 (0.19, 0.3)

 

Zimbabwe (2015)

5807

931

0.16 (0.15, 0.17)

72

0.08 (0.01, 0.14)

 

Zimbabwe (2010-2011)

5203

674

0.13 (0.12, 0.14)

116

0.17 (0.1, 0.24)

 

Zimbabwe (2005-2006)

4867

614

0.13 (0.12, 0.14)

35

0.06 (-0.02, 0.14)

 

Total

577468

88093

0.15 (0.14, 0.15)

21500

0.24 (0.23, 0.24)

 

Grand Total

1269944

180067

0.142 (0.141, 0.142)

47755

0.27 (0.26, 0.27)

 

Table-2: Analysis of household water and sanitation risk factors using multiple logistic regression model ofu5c among 112 DHS national surveys 2006-2018 (Improved as reference category)

 

Drinking water sources

Sanitation Toilet

DHS Survey Countries

cOR (95% CI)

aOR (95% CI)

cOR (95% CI)

aOR (95% CI)

South East Asia

 

 

 

 

Afghanistan (2015)

0.97 (0.97, 0.97)

0.97 (0.97, 0.97)

0.9 (0.9, 0.9)

0.9 (0.9, 0.9)

Bangladesh (2007)

1.09 (1.08, 1.1)

1.1 (1.09, 1.11)

1.12 (1.11, 1.13)

1.12 (1.12, 1.13)

Cambodia (2014)

1.39 (1.38, 1.41)

1.4 (1.39, 1.42)

1.41 (1.4, 1.43)

1.42 (1.4, 1.43)

Cambodia (2010)

1.11 (1.11, 1.12)

1.11 (1.1, 1.12)

1.47 (1.45, 1.49)

1.47 (1.45, 1.49)

India (2015-2016)

0.81 (0.81, 0.81)

0.81 (0.81, 0.81)

1.12 (1.11, 1.12)

1.12 (1.11, 1.12)

Indonesia (2017)

1.26 (1.25, 1.26)

1.26 (1.25, 1.26)

1.41 (1.4, 1.42)

1.41 (1.4, 1.42)

Indonesia (2012)

1.17 (1.17, 1.18)

1.18 (1.17, 1.19)

1.18 (1.17, 1.19)

1.17 (1.17, 1.18)

Indonesia (2007)

0.7 (0.7, 0.71)

0.7 (0.69, 0.71)

1.17 (1.17, 1.18)

1.17 (1.17, 1.18)

Maldives (2009)

1.65 (1.62, 1.68)

1.65 (1.61, 1.68)

1.98 (1.93, 2.02)

1.97 (1.93, 2.02)

Myanmar (2015-2016)

1.21 (1.19, 1.22)

1.21 (1.19, 1.22)

0.99 (0.99, 1)

0.99 (0.99, 1)

Nepal (2016)

1.03 (1.02, 1.03)

1.03 (1.02, 1.03)

1.24 (1.23, 1.26)

1.24 (1.23, 1.26)

Nepal (2011)

0.97 (0.96, 0.97)

0.97 (0.96, 0.97)

1.1 (1.09, 1.11)

1.1 (1.09, 1.11)

Nepal (2006)

1.09 (1.09, 1.1)

1.09 (1.09, 1.1)

1.32 (1.3, 1.34)

1.32 (1.3, 1.34)

Pakistan (2017-2018)

1.06 (1.06, 1.07)

1.06 (1.06, 1.07)

1.04 (1.04, 1.05)

1.04 (1.04, 1.05)

Pakistan (2012-2013)

1.1 (1.1, 1.11)

1.11 (1.1, 1.11)

1.13 (1.12, 1.13)

1.13 (1.12, 1.13)

Philippines (2017)

1.24 (1.23, 1.25)

1.24 (1.23, 1.25)

1.22 (1.21, 1.23)

1.22 (1.21, 1.23)

Philippines (2013)

1.19 (1.18, 1.2)

1.18 (1.17, 1.19)

1.04 (1.04, 1.05)

1.04 (1.03, 1.04)

Philippines (2008)

0.98 (0.98, 0.99)

0.98 (0.98, 0.99)

1.41 (1.39, 1.43)

1.41 (1.39, 1.43)

Timor-Leste (2016)

0.97 (0.97, 0.97)

0.97 (0.97, 0.97)

0.9 (0.9, 0.9)

0.9 (0.9, 0.9)

Timor-Leste (2009-2010)

1.09 (1.08, 1.1)

1.1 (1.09, 1.11)

1.12 (1.11, 1.13)

1.12 (1.12, 1.13)

Central Asia

 

 

 

 

Kyrgyz Republic (2012)

0.74 (0.73, 0.75)

0.74 (0.73, 0.75)

0.76 (0.75, 0.77)

0.75 (0.74, 0.76)

Tajikistan (2017)

0.83 (0.82, 0.83)

0.82 (0.82, 0.83)

0.79 (0.78, 0.8)

0.79 (0.78, 0.8)

Tajikistan (2012)

1.14 (1.13, 1.15)

1.14 (1.13, 1.15)

1.04 (1.03, 1.04)

1.04 (1.03, 1.04)

Europe

 

 

 

 

Albania (2017-2018)

0.93 (0.92, 0.94)

0.94 (0.93, 0.94)

0.31 (0.3, 0.32)

0.31 (0.3, 0.32)

Armenia (2015-2016)

0.93 (0.92, 0.93)

0.93 (0.92, 0.94)

0.93 (0.92, 0.93)

0.93 (0.92, 0.94)

Armenia (2010)

1.88 (1.83, 1.93)

1.9 (1.85, 1.95)

2.57 (2.5, 2.65)

2.54 (2.47, 2.61)

Azerbaijan (2006)

4.46 (4.27, 4.65)

4.54 (4.35, 4.73)

1.43 (1.39, 1.46)

1.42 (1.39, 1.46)

Egypt (2014)

0.93 (0.92, 0.95)

0.93 (0.92, 0.95)

0.68 (0.66, 0.71)

0.69 (0.66, 0.71)

Egypt (2008)

1.31 (1.28, 1.33)

1.31 (1.28, 1.33)

0.53 (0.51, 0.55)

0.53 (0.51, 0.55)

Jordan (2017-2018)

0.75 (0.75, 0.76)

0.76 (0.75, 0.76)

0.81 (0.8, 0.81)

0.8 (0.79, 0.8)

Jordan (2012)

0.71 (0.7, 0.72)

0.71 (0.71, 0.72)

1.47 (1.46, 1.49)

1.47 (1.45, 1.48)

Latin America

 

 

 

 

Bolivia (2008)

1.69 (1.67, 1.71)

1.69 (1.67, 1.71)

1.31 (1.3, 1.33)

1.31 (1.3, 1.33)

Colombia (2010)

1.23 (1.22, 1.23)

1.23 (1.22, 1.24)

1.31 (1.3, 1.33)

1.31 (1.3, 1.33)

Dominican Republic (2013)

1 (1, 1)

1 (1, 1)

1.23 (1.22, 1.24)

1.23 (1.22, 1.24)

Dominican Republic (2007)

0.97 (0.97, 0.97)

0.97 (0.97, 0.97)

1.46 (1.44, 1.47)

1.45 (1.44, 1.47)

Guatemala (2014-2015)

1.31 (1.29, 1.33)

1.31 (1.29, 1.33)

1.2 (1.19, 1.22)

1.2 (1.19, 1.22)

Guyana (2009)

0.9 (0.9, 0.91)

0.9 (0.9, 0.91)

1.28 (1.27, 1.29)

1.28 (1.27, 1.29)

Haiti (2016-2017)

1.16 (1.15, 1.16)

1.16 (1.15, 1.16)

0.99 (0.99, 0.99)

0.99 (0.99, 0.99)

Haiti (2012)

1.76 (1.71, 1.8)

1.76 (1.71, 1.8)

1.31 (1.29, 1.34)

1.31 (1.29, 1.34)

Haiti (2005-2006)

1.03 (1.03, 1.03)

1.03 (1.02, 1.03)

1.25 (1.23, 1.26)

1.25 (1.23, 1.26)

Honduras (2011-2012)

0.98 (0.97, 0.98)

0.98 (0.97, 0.98)

1.07 (1.06, 1.07)

1.07 (1.06, 1.07)

Honduras (2005-2006)

1.08 (1.07, 1.09)

1.08 (1.07, 1.09)

1.07 (1.06, 1.08)

1.07 (1.06, 1.08)

Peru (2012)

1.46 (1.44, 1.47)

1.46 (1.45, 1.48)

1.21 (1.2, 1.22)

1.21 (1.2, 1.22)

Peru (2011)

0.92 (0.91, 0.92)

0.92 (0.91, 0.92)

1.26 (1.25, 1.27)

1.26 (1.25, 1.27)

Peru (2009)

1.59 (1.57, 1.61)

1.59 (1.57, 1.61)

1.34 (1.32, 1.35)

1.33 (1.32, 1.35)

Peru (2007-2008)

1.56 (1.54, 1.57)

1.55 (1.53, 1.57)

1.16 (1.16, 1.17)

1.17 (1.16, 1.18)

Peru (2004-2006)

1.4 (1.38, 1.41)

1.4 (1.38, 1.41)

1.38 (1.37, 1.4)

1.39 (1.37, 1.4)

West North and Central Africa

       

Angola (2015-2016)

1.49 (1.48, 1.5)

1.49 (1.48, 1.5)

1.36 (1.35, 1.37)

1.36 (1.35, 1.37)

Benin (2017-2018)

1.49 (1.48, 1.5)

1.49 (1.48, 1.5)

1.36 (1.35, 1.37)

1.36 (1.35, 1.37)

Benin (2011-2012)

0.91 (0.9, 0.91)

0.9 (0.9, 0.91)

1.15 (1.14, 1.15)

1.15 (1.14, 1.15)

Burkina Faso (2010)

1.27 (1.26, 1.28)

1.27 (1.26, 1.28)

1.7 (1.68, 1.71)

1.69 (1.68, 1.71)

Burundi (2016-2017)

1.23 (1.22, 1.24)

1.23 (1.22, 1.24)

1.02 (1.01, 1.02)

1.02 (1.01, 1.02)

Burundi (2010)

1 (1, 1)

1 (1, 1)

0.93 (0.93, 0.93)

0.93 (0.93, 0.93)

Cameroon (2011)

1.02 (1.02, 1.02)

1.02 (1.02, 1.02)

1.25 (1.24, 1.26)

1.25 (1.24, 1.26)

Chad (2014-2015)

1.11 (1.1, 1.12)

1.11 (1.1, 1.12)

1.31 (1.3, 1.33)

1.31 (1.3, 1.33)

Comoros (2012)

1.28 (1.27, 1.29)

1.28 (1.27, 1.29)

1.41 (1.4, 1.43)

1.41 (1.4, 1.43)

Congo (2011-2012)

0.97 (0.97, 0.98)

0.98 (0.97, 0.98)

0.97 (0.96, 0.97)

0.97 (0.96, 0.97)

Congo (2005)

0.89 (0.88, 0.9)

0.89 (0.88, 0.9)

0.81 (0.8, 0.82)

0.81 (0.8, 0.82)

Congo Democratic Republic (2013-2014)

0.88 (0.87, 0.88)

0.87 (0.87, 0.88)

1.06 (1.05, 1.06)

1.06 (1.05, 1.06)

Congo Democratic Republic (2007)

1.19 (1.18, 1.2)

1.19 (1.18, 1.21)

1.35 (1.33, 1.36)

1.34 (1.32, 1.36)

Cote d'Ivoire (2011-2012)

0.97 (0.97, 0.97)

0.97 (0.97, 0.97)

1.2 (1.19, 1.21)

1.2 (1.19, 1.21)

Eswatini (2006-2007)

1.2 (1.19, 1.21)

1.2 (1.19, 1.21)

1.09 (1.08, 1.1)

1.09 (1.08, 1.09)

Ethiopia (2016)

0.98 (0.98, 0.99)

0.99 (0.98, 0.99)

1.06 (1.05, 1.07)

1.07 (1.06, 1.07)

Ethiopia (2011)

1.65 (1.61, 1.69)

1.62 (1.59, 1.66)

1.73 (1.69, 1.77)

1.7 (1.66, 1.75)

Gabon (2012)

0.99 (0.99, 0.99)

0.99 (0.99, 0.99)

1.2 (1.19, 1.21)

1.2 (1.19, 1.21)

Gambia (2013)

1.12 (1.11, 1.12)

1.12 (1.11, 1.12)

1.33 (1.32, 1.34)

1.33 (1.32, 1.34)

Ghana (2014)

1.25 (1.23, 1.26)

1.25 (1.23, 1.26)

1.14 (1.13, 1.15)

1.14 (1.13, 1.15)

Ghana (2008)

0.97 (0.97, 0.98)

0.98 (0.97, 0.98)

0.77 (0.76, 0.78)

0.77 (0.76, 0.77)

Guinea (2012)

0.8 (0.79, 0.81)

0.8 (0.79, 0.81)

1.17 (1.16, 1.19)

1.17 (1.16, 1.19)

Kenya (2014)

1.27 (1.25, 1.29)

1.27 (1.25, 1.29)

1.29 (1.27, 1.31)

1.29 (1.27, 1.31)

Kenya (2008-2009)

1.35 (1.33, 1.36)

1.34 (1.33, 1.36)

1.24 (1.23, 1.25)

1.24 (1.23, 1.25)

Lesotho (2014)

1.11 (1.11, 1.12)

1.11 (1.11, 1.12)

1.16 (1.15, 1.16)

1.16 (1.15, 1.16)

Liberia (2013)

1.29 (1.27, 1.3)

1.29 (1.27, 1.31)

1.26 (1.25, 1.28)

1.26 (1.25, 1.28)

Liberia (2007)

1.17 (1.16, 1.19)

1.17 (1.16, 1.19)

1.22 (1.2, 1.24)

1.22 (1.2, 1.24)

Madagascar (2008-2009)

1.29 (1.28, 1.31)

1.29 (1.28, 1.31)

1.14 (1.13, 1.15)

1.14 (1.13, 1.15)

Malawi (2015-2016)

1 (1, 1)

1 (1, 1)

1.04 (1.03, 1.04)

1.04 (1.03, 1.04)

Malawi (2010)

0.92 (0.91, 0.92)

0.92 (0.91, 0.92)

0.87 (0.86, 0.88)

0.87 (0.86, 0.88)

Mali (2012-2013)

1.03 (1.03, 1.03)

1.03 (1.03, 1.03)

1.06 (1.06, 1.07)

1.06 (1.06, 1.06)

Mali (2006)

1.07 (1.07, 1.07)

1.07 (1.07, 1.07)

1.13 (1.12, 1.13)

1.13 (1.12, 1.13)

Mozambique (2011)

0.71 (0.71, 0.72)

0.72 (0.71, 0.72)

0.88 (0.88, 0.89)

0.88 (0.87, 0.89)

Namibia (2013)

1.21 (1.2, 1.21)

1.21 (1.2, 1.21)

1.04 (1.04, 1.05)

1.04 (1.04, 1.05)

Namibia (2006-2007)

1.01 (1.01, 1.01)

1.01 (1.01, 1.01)

0.99 (0.99, 1)

1 (0.99, 1)

Niger (2012)

1.37 (1.35, 1.38)

1.37 (1.35, 1.39)

1.58 (1.56, 1.61)

1.59 (1.56, 1.62)

Niger (2006)

1.26 (1.25, 1.28)

1.26 (1.25, 1.28)

1.16 (1.15, 1.17)

1.16 (1.15, 1.17)

Nigeria (2013)

0.94 (0.93, 0.94)

0.94 (0.93, 0.94)

0.91 (0.91, 0.92)

0.91 (0.91, 0.92)

Nigeria (2008)

1.15 (1.14, 1.16)

1.15 (1.14, 1.16)

1.34 (1.33, 1.36)

1.34 (1.33, 1.36)

Rwanda (2014-2015)

1.3 (1.29, 1.31)

1.3 (1.29, 1.31)

1.06 (1.05, 1.06)

1.06 (1.05, 1.06)

Rwanda (2010)

1.38 (1.38, 1.39)

1.38 (1.37, 1.39)

1.04 (1.04, 1.04)

1.04 (1.04, 1.04)

Sao Tome and Principe (2008-2009)

1.05 (1.05, 1.06)

1.06 (1.05, 1.06)

1.43 (1.41, 1.44)

1.43 (1.41, 1.44)

Senegal (2017)

1.19 (1.18, 1.2)

1.18 (1.17, 1.19)

1.17 (1.16, 1.18)

1.17 (1.16, 1.18)

Senegal (2016)

0.85 (0.83, 0.86)

0.84 (0.82, 0.85)

1.16 (1.14, 1.18)

1.16 (1.14, 1.18)

Senegal (2015)

1.05 (1.05, 1.06)

1.05 (1.05, 1.06)

1.08 (1.07, 1.08)

1.08 (1.07, 1.08)

Senegal (2014)

1.22 (1.21, 1.24)

1.22 (1.21, 1.24)

1.02 (1.02, 1.02)

1.02 (1.02, 1.02)

Senegal (2012-2013)

1.23 (1.22, 1.25)

1.23 (1.22, 1.24)

1.26 (1.25, 1.28)

1.26 (1.25, 1.28)

Senegal (2010-2011)

1.03 (1.03, 1.03)

1.03 (1.03, 1.04)

0.91 (0.91, 0.92)

0.92 (0.91, 0.92)

Sierra Leone (2013)

1.43 (1.41, 1.45)

1.43 (1.41, 1.45)

1.41 (1.39, 1.43)

1.41 (1.39, 1.42)

Sierra Leone (2008)

0.96 (0.96, 0.97)

0.96 (0.96, 0.97)

0.91 (0.9, 0.91)

0.91 (0.9, 0.91)

South Africa (2016)

1.24 (1.23, 1.25)

1.24 (1.23, 1.25)

1.02 (1.02, 1.02)

1.02 (1.02, 1.02)

Tanzania (2015-2016)

1.11 (1.1, 1.12)

1.11 (1.11, 1.12)

1.21 (1.19, 1.22)

1.21 (1.2, 1.22)

Tanzania (2010)

1.24 (1.22, 1.26)

1.24 (1.23, 1.26)

1.22 (1.2, 1.23)

1.22 (1.2, 1.23)

Togo (2013-2014)

0.95 (0.95, 0.95)

0.95 (0.95, 0.95)

0.87 (0.87, 0.88)

0.87 (0.87, 0.88)

Uganda (2016)

1.2 (1.19, 1.21)

1.2 (1.19, 1.21)

0.95 (0.94, 0.95)

0.95 (0.94, 0.95)

Uganda (2011)

1.17 (1.16, 1.18)

1.17 (1.16, 1.18)

1.84 (1.81, 1.87)

1.84 (1.81, 1.87)

Uganda (2006)

1 (1, 1)

1 (1, 1)

1.09 (1.09, 1.1)

1.09 (1.09, 1.1)

Zambia (2013-2014)

1.22 (1.21, 1.23)

1.22 (1.2, 1.23)

1.08 (1.08, 1.09)

1.08 (1.08, 1.09)

Zambia (2007)

1.08 (1.07, 1.08)

1.09 (1.08, 1.09)

1.06 (1.05, 1.07)

1.06 (1.06, 1.07)

Zimbabwe (2015)

0.9 (0.9, 0.91)

0.9 (0.9, 0.91)

0.97 (0.97, 0.98)

0.97 (0.97, 0.98)

Zimbabwe (2010-2011)

0.75 (0.74, 0.76)

0.75 (0.74, 0.76)

0.88 (0.87, 0.89)

0.88 (0.87, 0.89)

Zimbabwe (2005-2006)

1.17 (1.16, 1.18)

1.17 (1.16, 1.18)

1.07 (1.07, 1.08)

1.07 (1.06, 1.08)