Saroha Poonam, Gupta Sanjeev Kumar, Yadav Chander Prakash, Gill Jasmita, Sahoo Prakash, Singh Himmat, H C Vani, Pati Sanghamitra, Rahi Manju, Sharma Amit
Academy of Scientific and Innovative Research (AcSIR), Council of Scientific & Industrial Research (CSIR), Ghaziabad, Uttar Pradesh, India.
National Institute of Malaria Research (NIMR), Indian Council of Medical Research (ICMR), New Delhi, Delhi, India.
BMJ Public Health. 2023 Sep 19;1(1):e000004. doi: 10.1136/bmjph-2023-000004. eCollection 2023 Nov.
Malaria in Pregnancy (MiP) has significant adverse effects on both mother and fetus. Pregnant women in regions with unstable malaria transmission are three times more vulnerable to infection. This study analysed malaria prevalence among pregnant women in Odisha, India from 2016 to 2020 and compared it with overall malaria rates. Socioecological factors potentially influencing MiP prevalence were also examined.
District-wise cases of malaria-positive pregnant women were analysed using a prevalence index named Malaria in Pregnancy rate (MiPr). The association of MiP with multidimensional poverty, forest cover and tribal population was studied. These three socioecological variables were compared with high and low MiPr (MiPr ≥1 or <1) respectively.
A strong positive association was observed between the Annual Parasite Index (API) and the MiPr in 2016 (0.95), 2017 (0.97), 2018 (0.88), 2019 (0.97) and 2020 (0.97). The districts comprising a multidimensionally poor population of 45% or more accounted for 67% of the MiP cases in 2020. The odds of getting MiP (MiPr ≥1) were 82.5 times higher in the districts where the tribal population was ≥50% and 3.39 times higher in the districts where the forest cover was ≥40%. In 2020, two districts with high MiPr, Malkangiri (MiPr=5.61) and Rayagada (MiPr=3.24), were above the threshold for all three variables.
This work highlights an urgent need to increase awareness by the national control programme and the community in vulnerable regions through control and protection measures for pregnant women at higher risk of severe disease.
妊娠疟疾(MiP)对母亲和胎儿均有重大不良影响。在疟疾传播不稳定地区的孕妇感染疟疾的风险要高三倍。本研究分析了2016年至2020年印度奥里萨邦孕妇中的疟疾流行情况,并将其与总体疟疾发病率进行比较。还研究了可能影响MiP流行率的社会生态因素。
使用名为妊娠疟疾率(MiPr)的流行率指数对各地区疟疾阳性孕妇病例进行分析。研究了MiP与多维贫困、森林覆盖率和部落人口的关联。将这三个社会生态变量分别与高和低MiPr(MiPr≥1或<1)进行比较。
2016年(0.95)、2017年(0.97)、2018年(0.88)、2019年(0.97)和2020年(0.97)的年度寄生虫指数(API)与MiPr之间观察到强正相关。2020年,多维贫困人口占45%或更多的地区占MiP病例的67%。在部落人口≥50%的地区,患MiP(MiPr≥1)的几率高82.5倍,在森林覆盖率≥40%的地区高3.39倍。2020年,MiPr较高的两个地区,马尔康吉里(MiPr=5.61)和拉亚加达(MiPr=3.24),在所有三个变量上均高于阈值。
这项工作强调,国家控制计划和社区迫切需要通过对重症疾病风险较高的孕妇采取控制和保护措施,提高脆弱地区的认识。