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      Controlling measles using supplemental immunization activities: A mathematical model to inform optimal policy

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          Abstract

          Background

          The Measles & Rubella Initiative, a broad consortium of global health agencies, has provided support to measles-burdened countries, focusing on sustaining high coverage of routine immunization of children and supplementing it with a second dose opportunity for measles vaccine through supplemental immunization activities (SIAs). We estimate optimal scheduling of SIAs in countries with the highest measles burden.

          Methods

          We develop an age-stratified dynamic compartmental model of measles transmission. We explore the frequency of SIAs in order to achieve measles control in selected countries and two Indian states with high measles burden. Specifically, we compute the maximum allowable time period between two consecutive SIAs to achieve measles control.

          Results

          Our analysis indicates that a single SIA will not control measles transmission in any of the countries with high measles burden. However, regular SIAs at high coverage levels are a viable strategy to prevent measles outbreaks. The periodicity of SIAs differs between countries and even within a single country, and is determined by population demographics and existing routine immunization coverage.

          Conclusions

          Our analysis can guide country policymakers deciding on the optimal scheduling of SIA campaigns and the best combination of routine and SIA vaccination to control measles.

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          Most cited references32

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          WHO estimates of the causes of death in children.

          Child survival efforts can be effective only if they are based on accurate information about causes of deaths. Here, we report on a 4-year effort by WHO to improve the accuracy of this information. WHO established the external Child Health Epidemiology Reference Group (CHERG) in 2001 to develop estimates of the proportion of deaths in children younger than age 5 years attributable to pneumonia, diarrhoea, malaria, measles, and the major causes of death in the first 28 days of life. Various methods, including single-cause and multi-cause proportionate mortality models, were used. The role of undernutrition as an underlying cause of death was estimated in collaboration with CHERG. In 2000-03, six causes accounted for 73% of the 10.6 million yearly deaths in children younger than age 5 years: pneumonia (19%), diarrhoea (18%), malaria (8%), neonatal pneumonia or sepsis (10%), preterm delivery (10%), and asphyxia at birth (8%). The four communicable disease categories account for more than half (54%) of all child deaths. The greatest communicable disease killers are similar in all WHO regions with the exception of malaria; 94% of global deaths attributable to this disease occur in the Africa region. Undernutrition is an underlying cause of 53% of all deaths in children younger than age 5 years. Achievement of the millennium development goal of reducing child mortality by two-thirds from the 1990 rate will depend on renewed efforts to prevent and control pneumonia, diarrhoea, and undernutrition in all WHO regions, and malaria in the Africa region. In all regions, deaths in the neonatal period, primarily due to preterm delivery, sepsis or pneumonia, and birth asphyxia should also be addressed. These estimates of the causes of child deaths should be used to guide public-health policies and programmes.
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            A simple model for complex dynamical transitions in epidemics.

            Dramatic changes in patterns of epidemics have been observed throughout this century. For childhood infectious diseases such as measles, the major transitions are between regular cycles and irregular, possibly chaotic epidemics, and from regionally synchronized oscillations to complex, spatially incoherent epidemics. A simple model can explain both kinds of transitions as the consequences of changes in birth and vaccination rates. Measles is a natural ecological system that exhibits different dynamical transitions at different times and places, yet all of these transitions can be predicted as bifurcations of a single nonlinear model.
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              The dynamics of measles in sub-Saharan Africa.

              Although vaccination has almost eliminated measles in parts of the world, the disease remains a major killer in some high birth rate countries of the Sahel. On the basis of measles dynamics for industrialized countries, high birth rate regions should experience regular annual epidemics. Here, however, we show that measles epidemics in Niger are highly episodic, particularly in the capital Niamey. Models demonstrate that this variability arises from powerful seasonality in transmission-generating high amplitude epidemics-within the chaotic domain of deterministic dynamics. In practice, this leads to frequent stochastic fadeouts, interspersed with irregular, large epidemics. A metapopulation model illustrates how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts. Such erratic dynamics emphasize the importance both of control strategies that address build-up of susceptible individuals and efforts to mitigate the impact of large outbreaks when they occur.
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                Author and article information

                Contributors
                Journal
                Vaccine
                Vaccine
                Vaccine
                Elsevier Science
                0264-410X
                1873-2518
                03 March 2015
                03 March 2015
                : 33
                : 10
                : 1291-1296
                Affiliations
                [a ]Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [b ]International Health Unit (USI), University of Montreal Hospital Research Centre (CR-CHUM), Montreal, Québec, Canada
                [c ]Department of Health Administration, School of Public Health, University of Montreal, Montreal, Québec, Canada
                [d ]Division of Infectious Diseases, Hospital for Sick Children, Toronto, Ontario, Canada
                [e ]Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
                [f ]Center for Global Health Research, Saint Michael's Hospital, Toronto, Ontario, Canada
                [g ]Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
                [h ]Modelling and Economics Unit, Public Health England, London, United Kingdom
                [i ]Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
                Author notes
                [* ]Corresponding author at: Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. verguet@ 123456hsph.harvard.edu
                Article
                S0264-410X(14)01607-7
                10.1016/j.vaccine.2014.11.050
                4336184
                25541214
                38d219ef-edc1-4f30-a83a-11a098990a8f
                © 2014 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 31 August 2014
                : 17 November 2014
                : 27 November 2014
                Categories
                Article

                Infectious disease & Microbiology
                measles,immunization,supplementary immunization activities,low- and middle-income settings,child health,mathematical modeling

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