Cited by 27Malaria Research and ControlGlobal Maternal and Child HealthHIV/AIDS Research and Interventions

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Estimating the burden of malaria in pregnancy: a case study from rural Madhya Pradesh, India

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Abstract

BACKGROUND: Malaria in pregnancy (MiP) is inadequately researched in India, and the burden is probably much higher than current estimates suggest. This paper models the burden of MiP and associated foetal losses and maternal deaths, in rural Madhya Pradesh, India. METHODS: Number of pregnancies per year was estimated from the number of births and an estimate of pregnancies that end in foetal loss. The prevalence of MiP, risk of foetal loss attributable to MiP and case fatality rate of MiP were obtained from the literature. The estimated total number of pregnancies was multiplied by the appropriate parameter to estimate the number of MiP cases, and foetal loss and maternal deaths attributable to MiP per year. A Monte Carlo simulation sensitivity analysis was done to assess plausibility of various estimates obtained from the literature. The burden of MiP in tribal women was explored by incorporating the variable prevalence of malaria in tribal and non-tribal populations and in forested and non-forested regions within Madhya Pradesh. RESULTS: Estimates of MiP cases in rural Madhya Pradesh based on the model parameter values found in the literature ranged from 183,000-1.5 million per year, with 73,000-629,000 lost foetuses and 1,500-12,600 maternal deaths attributable to MiP. The Monte Carlo simulation gave a more plausible estimate of 220,000 MiP cases per year (inter-quartile range (IQR): 136,000-305,000), 95,800 lost foetuses (IQR: 56,800-147,600) and 1,000 maternal deaths (IQR: 650-1,600). Tribal women living in forested areas bore 30% of the burden of MiP in Madhya Pradesh, while constituting 18% of the population. CONCLUSION: Although the estimates are uncertain, they suggest MiP is a significant public health problem in rural Madhya Pradesh, affecting many thousands of women and that reducing the MiP burden should be a priority.

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  • Malaria infection during pregnancy increases the risk of infant's death and perinatal mortality by causing low birth weight.

    “It also increases the risk of infant’s death and perinatal mortality, by causing LBW.39,53,55”

    From Malaria in pregnancy. (2013) · cites this paper as [55]

    The Discussion (page unavailable) reports that malaria in pregnancy may increase the risk of low birth weight and estimates a burden of stillbirths. It does not establish that low birth weight causes the fetal deaths, nor does it report infant mortality through that pathway; it cautions that its findings show correlation, not necessarily causation. (LLM, conf=0.86)

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Research works printed but not linked: 25

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Metadata

Authors
Diamond-Smith, N., Singh, N., Gupta, R. D., Dash, A., Thimasarn, K., Campbell, O. M., & Chandramohan, D.
Affiliations
  • National Institute of Malaria Research (IN)
  • World Health Organization Regional Office for South-East Asia (IN)
  • London School of Hygiene & Tropical Medicine (GB)
Venue
Malaria Journal
Published
2009-02-12
Volume
8
Issue
1
Pages
24-24
ISSN
1475-2875 (ISSN-L)
OpenAlex
W2170368528
Cited by
27
References
0
Citations by year
2025: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 2 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 5 · 2012: 3
FWCI
3.36
Type
journal article
Language
en
Open access
Locations
  • Malaria Journal (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Greater South Information System
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
Keywords
malaria in pregnancy, disease burden estimation, maternal mortality, fetal death, tribal women, forest environment, case fatality rate, pregnancy prevalence
MeSH terms
Animals, Female, Fetal Death, Humans, India, Infant, Newborn, Malaria, Maternal Mortality, Monte Carlo Method, Pregnancy, Pregnancy Outcome, Risk Factors, Rural Population, Pregnancy Complications, Parasitic, Prevalence, Cost of Illness, Parasitemia

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